#Artificial Intelligence Courses for C-suite Executives Market

[aishwaryaanair]

The Best AI Courses for Entrepreneurs & Executives in 2025

Artificial Intelligence (AI) is no longer just a buzzword — it’s a fundamental tool for business growth, innovation, and competitive advantage. Entrepreneurs and executives who understand AI’s potential can leverage it to drive efficiency, improve decision-making, and create new business opportunities. However, staying ahead in this rapidly evolving landscape requires continuous learning.

Whether you’re a business leader looking to integrate AI into your strategy or an entrepreneur aiming to scale your startup with AI-powered solutions, investing in an AI certification can be a game-changer. In this article, we’ll explore the best AI courses tailored for executives and entrepreneurs in 2025, helping you choose the right program to future-proof your career.

Why Entrepreneurs & Executives Need AI Knowledge

AI is reshaping industries across the board, from finance and healthcare to marketing and supply chain management. Business leaders who fail to understand AI’s capabilities risk being left behind. Here’s why AI expertise is essential for executives and entrepreneurs:

1. AI-Driven Decision Making

AI provides real-time data analytics, predictive insights, and automation, helping leaders make smarter, data-driven decisions.

2. Competitive Advantage

Companies leveraging AI for automation, customer insights, and operational efficiency outperform competitors in innovation and market reach.

3. Cost & Time Efficiency

AI-powered automation reduces operational costs, streamlines workflows, and enhances productivity, allowing businesses to scale more effectively.

4. AI in Customer Experience

Personalized AI-driven interactions improve customer engagement, retention, and satisfaction, giving businesses a crucial edge in customer service.

5. Ethical & Responsible AI Implementation

Executives must understand AI ethics, compliance, and governance to ensure responsible AI adoption and regulatory compliance.

Given AI’s transformative power, business leaders must invest in upskilling through specialized AI courses. Below are some of the best AI certifications designed specifically for entrepreneurs and executives.

Top AI Courses for Entrepreneurs & Executives

1. AI+ Executive™ by AI Certs

For business leaders who want a strategic understanding of AI without getting lost in technical complexities, the AI+ Executive™ certification by AI Certs is an excellent choice. This program is tailored for executives, entrepreneurs, and decision-makers looking to integrate AI into their organizations effectively.

Key Topics Covered:

AI fundamentals and its impact on business strategy

AI-driven decision-making and leadership

AI ethics, governance, and regulatory considerations

Implementing AI for business growth and operational efficiency

Challenges and solutions in AI adoption for enterprises

This certification is ideal for C-suite executives, business owners, and managers looking to future-proof their organizations with AI.

Use the coupon code NEWCOURSE25 to get 25% OFF on AI CERTS’ certifications. Don’t miss out on this limited-time offer! Visit this link to explore the courses and enroll today.

2. Artificial Intelligence: Business Strategies & Applications by Berkeley Executive Education

Offered by the University of California, Berkeley, this course provides a deep dive into AI’s business applications, helping leaders make informed AI-driven decisions.

Key Topics Covered:

Understanding AI’s role in business transformation

AI-driven innovation and competitive strategy

Case studies on AI implementation in Fortune 500 companies

The impact of AI on various industries

This program is designed for senior executives and business leaders looking to develop AI-driven strategies and drive business growth.

3. Oxford Artificial Intelligence Programme by University of Oxford

The Oxford Artificial Intelligence Programme is a premier executive education course that provides a comprehensive overview of AI, its ethical implications, and its strategic applications in business.

Key Topics Covered:

AI fundamentals and emerging trends

AI and digital transformation strategies

AI governance and ethical considerations

Case studies from AI-driven companies

This certification is an excellent choice for business leaders who want a well-rounded understanding of AI’s role in shaping the future of industries.

4. AI for Business Leaders by INSEAD (Coursera)

This online program by INSEAD, available on Coursera, is tailored for executives who want to explore AI’s business applications without needing deep technical knowledge.

Key Topics Covered:

AI and machine learning fundamentals

AI-driven decision-making and business transformation

AI in marketing, finance, and operations

Managing AI implementation within organizations

This course is ideal for professionals who want a flexible, online learning experience with real-world AI applications.

How to Choose the Right AI Course for Your Business Goals

With so many AI courses available, selecting the right one depends on your career objectives and business needs. Here are some key factors to consider:

Level of Expertise: Are you a beginner, intermediate, or advanced AI user? Choose a course that matches your knowledge level.

Business Focus: If you’re an executive, opt for courses that emphasize strategic AI applications rather than technical programming.

Industry Relevance: Look for a course that offers insights relevant to your industry, whether it’s finance, healthcare, or technology.

Hands-On Learning: Programs that include case studies, real-world AI applications, and executive-level discussions provide the most value.

Flexibility: Online and self-paced options are ideal for busy professionals who need to balance learning with work responsibilities.

The Future of AI in Business Leadership

AI is rapidly shaping the future of work, and business leaders who invest in AI education will have a competitive edge. Here’s how AI is expected to impact leadership in the coming years:

AI-Augmented Decision-Making: AI will provide predictive insights, helping leaders make data-driven choices faster.

Automation & Workforce Transformation: AI-powered automation will reshape job roles, requiring leaders to upskill their teams.

AI-Powered Customer Experience: Businesses will increasingly rely on AI-driven personalization to enhance customer interactions.

Ethical AI Leadership: Leaders will need to navigate AI ethics, bias mitigation, and compliance with evolving regulations.

By enrolling in a top AI certification, executives and entrepreneurs can stay ahead of these trends and position themselves as AI-driven business leaders.

Conclusion

AI is transforming every aspect of business, from strategy and decision-making to customer engagement and automation. Entrepreneurs and executives who understand AI’s capabilities can leverage it for business growth, innovation, and long-term success.

The AI+ Executive™ certification by AI Certs, Berkeley’s AI Business Strategies Course, Oxford’s AI Programme, and INSEAD’s AI for Business Leaders are among the top AI courses for professionals looking to integrate AI into their organizations.

As AI continues to evolve, staying informed and upskilled will be crucial for business leaders. Now is the time to invest in AI education and ensure you remain at the forefront of the AI-driven future.

[maharghaideovate]

Symbiosis Center For Distance Education: Revolutionizing MBA with New Specializations

 Table of Contents

1. Introduction

2. New Specializations

3. Data Science

4. Blockchain

5. Business Analytics

6. Other Exciting Specializations

7. Why Choose Symbiosis?

8.FAQs

9. Conclusion

1. Introduction

Are you gearing up to scale up your career? Well, here is an announcement for you: Symbiosis Center For Distance Education, the leading light among distance MBA colleges in India, has realigned its curriculum for you. Get ten value-added, hot specializations going. Let's find out what this means for you!

2. New Specializations

At Symbiosis, we do not flow with trends; we set them. Their new specializations include:

1. Data Science

2. Blockchain

3. Business Analytics

4. Artificial Intelligence and Robotics

5. Cybersecurity

6. Internet of Things (IoT)

7. Cloud Computing

8. Digital Marketing

9. Sustainable Energy Systems

10. Bio-Informatics

Wondering how these fit in with your career goals? Let's look at the top three in more detail.

3. Data Science

Data is the new oil; enterprises are desperately looking to hire data scientists who will add value. Our Data Science specialization grooms you to be a wizard in data.

What you will master

Advanced Analytics

Machine learning

Big data processing

Data visualization

4. Blockchain

That's right! Blockchain isn't just about finance. Discover all about our industry-leading Blockchain.

You will get to know all about:

Distributed ledger technology

Development of smart contracts

Cryptocurrency ecosystems

Industry-based applications of blockchain

Fun Fact: In 2021, job posts with the keyword 'Blockchain had risen by 300%!

5. Business Analytics

Big data is the key to the C-suite. Business Analytics will teach you how to make business decisions from data. We will learn:

Predictive and prescriptive analytics

Data-driven strategy

Business intelligence

Ethical considerations for analytics

Industry Insight 77% of companies admit that business analytics yields significant value

6. Other Awesome Specializations

That's not all! Our other specializations on the list are equally pathbreaking-:

AI and Robotics– Shape the future of automation

CyberSecurity- Digital asset's safety guard

IoT – Everything communicates with everything

Cloud Computing- Businesses Touching Newer Heights

Digital marketing.

Clean Energy: Head the green revolution

Bioinformatics: Biology Meets Data Science.

7. Why Symbiosis

And why should you study from us, one of the top distance MBA colleges

Flexible learning as per your needs

Annual updated industry curriculum

Live sessions by industry faculty

Latest tools and techniques in project execution

Opportunity to work on real-life projects from over six industries

Best alumni network that also assists you in job referrals

8. Frequently Asked Questions

Q1: Can I switch specializations during the course?

A: Yes. You can even switch your specialization in the first semester without any increased fees.

Q2: Are these specializations recognized by the industry?

A: Surely. Our curriculum is designed in close collaboration with industry leaders.

Q3: How does this work for practical subjects like Data Science?

A: We provide virtual labs and project-based learning so that you gain practical experience.

9. Conclusion

The world of work is changing rapidly; it's accelerated at the Symbiosis Center For Distance Education. Whether you're passionate about Data Science, fascinated with Blockchain, or ready to revolutionize businesses with Analytics, a specialization in each of these domains awaits you.

Don't just surf the wave of the future; CREATE it! Enroll in one of the best universities for MBA Distance Education in India and take the first step toward an exciting career.

[wemarketresearchreport]

Global Artificial Intelligence Courses for C-suite Executives Market Size, Industry Analysis By Segmentations, Top Key Players, Trends, Future Development & Forecast 2023-2032

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Indicators on Technology You Need To Know

All About Technology

From Net of Behaviours to Hyperautomation, right here are some of the leading innovation patterns for 2021 everyone should get all set for now. The pandemic has turned 2020 into a challenging year for both culture as well as services around the world, that were already underway.

Hyperautomation Hyperautomation describes the procedure of exactly how companies automate anything that can be automated in a company, using tools like Artificial intelligence, AI, and robotics, among others. Expert System Expert System (AI )is undoubtedly among the most significant tech fads for the moment. This device can in numerous means: predicting what consumers will certainly buy, adding face acknowledgment to business protection, carrying out voice aides, taking advantage of independent vehicles and also robots, as well as the checklist goes on. Within the context we are going through nowadays, AI will certainly likewise, along with make wise decisions regarding when and where to disperse resources. Robotics and also car automation The year

2021 is likewise anticipated to be one with rapid growth as well as need for robotics, particularly in the healthcare field, to engage with members of society who are the most at risk to infection. For that reason, they are expected to offer brand-new networks of communication as well as cleansing and safety and security services for companies needing maintenance. Because means, cybersecurity mesh gives companies with, enabling the safety perimeter to be specified around an individual's identification or point. In other words, any person can get accessibility to any type of digital asset in a guaranteed manner, no matter where the data lies. The Cloud Although this fad began method before the pandemic, Covid-19's effect on globally companies has certainly increased it. Many thanks to Cloud services, firms of diverse sectors can As the Covid pandemic goes on, increasingly more firms depend on the Cloud to p Concerning this, Statista

predicts that as 2021 gets underway, the public Cloud services market is anticipated to go beyond 362. 3 billion UNITED STATE dollars by 2022. WFH innovation This might be the technology pattern that will go to the top of the platform during 2021., and also it appears this fad is expected to proceed to grow in the years ahead. A survey revealed by Gartner shows that 90%of Human Resources leaders will allow staff members to function remotely also after the Covid-19 vaccination is available.

Tools like, as well as other communication platforms have become vital for lots of enterprises, helping with remote functioning throughout the world. These devices have aided dispersed teams monitor the projects they are dealing with, along with All these brand-new tools as well as technologies that have emerged as an outcome of remote functioning have also aided firms, as well as enhance cooperation amongst members. Nonetheless, taking into consideration that workers working from home have to use their networks as well as that these might not be as secure as those provided by the work environment, businesses could have to transform to 3rd celebrations like Cloud solutions to ensure those networks are risk-free and also the data is secured. The years 2020 as well as 2021 have actually been unlike any type of in the past. COVID may have transformed our lives upside-down, however it could

not keep organizations or experts stationary. Organizations rolled on, customarily, people maintained functioning, albeit remotely and also most procedures still unravelled smoothly. As well as for all this, we have just technology to give thanks to. Yet what regarding C-Suite executives? Research studies reveal that even though lots of firms are thinking about migrating 80% of procedures to the cloud within a years, CEOs are not so sure. As couple of as 3 out of 10 Chief executive officers feel positive concerning cloud movement. The prime reason for this is of course data protection of consumers. They will certainly have all security attributes, brimming with data securityand database monitoring to maintain your data risk-free. If Chief executive officers are still not comfortable, they can still go for a choice that will certainly permit for migration of procedures but won't call for information to be stored in the cloud. With the cloud, Raise as well as Change does the job for you! You can merely migrate your whole system to the cloud as well as do away with your tradition infrastructure. You can change you organization by spending in innovation. Tradition facilities badly restricts innovation as well as market dexterity, and yet, CEOs have to stay with it because that facilities is all they can rely on for smooth operation. Yet what if they can successfully move to the cloud? After that there will certainly be no end to innovation as well as dexterity. Customer Data Platforms, Advertising and marketing for anybody as well as everyone is a distant memory. And Consumer Data System has proved that by being just one of the biggest innovation fads for 2021. In 2021 information rules advertising entirely, with 93 %of advertising supervisors agreeing that using client information for marketing makes certain to provide encouraging results. Now using this comprehensive database of details, the advertising and marketing group can create client profiles as well as generate strategies to woo the consumer. What are the advantages of utilizing a devoted customer data system? When the marketing group knows the consumer inside out, they can draft customized strategies for each and every, which provides them a better opportunity to rapidly rack up a sale. Choice 2: Ask the customers for their information. No data taken from the web can be as authentic as the one the customer himself will certainly offer you with. Not just sales but a CDP can additionally be a critical aspect in much better customer retention. With more data regarding the customer, the entire group can be knowledgeable about client assumptions from them whether in terms of solution or merely web site UI. Before CDPs entered into use, turnkey assimilations needed to be executed on consumer data to develop a centralized data source, which used up both time and manpower. The entire procedure of utilizing data for advertising has actually ended up being much more reliable with making use of CDPs. Work From Home, Instead than an innovation fad, job from home has ended up being a way of living for us now. However in the post-pandemic world, CEOs require to come to terms with the truth that such situations may occur time and again and we have the technology to handle them effectively. Naturally, running a business without any type of in person interaction could be daunting, but there are ways to make sure individuals are collaborating with genuineness as well as stability. If required, give your employees with a VPN to see to it your information is risk-free and also the web speed is good. This will make certain all virtual conferences as well as discussions run without a problem. Your next-gen staff members are constantly ready to adapt any type of type

of innovation trends and devices you toss at them, however what regarding the older workforce? It is not possible or fair to throw them in the stumble in the center of the pandemic. Does this mean there will be no UI? Naturally not. Based upon an Internet of Points idea, brainless tech mainly refers to a personalized front-end. For example, when we log into Amazon.com, all countless customers see the exact same interface, there is no personalization. But with headless tech, there is no telling what we will certainly see when we open up the application. Modification possibilities will certainly be endless. Every client can have their really own UI.Cross-platform adaptation will not require any type of additional work! Allows smooth combinations, This is the new kid in town when it pertains to innovation fads in service however this is the age of tailored customer experience so it is only a matter of time prior to business pick this up, toss in some hardcore R&D and also take it to new heights. These customized collections have an all-in-one platform that has software program relating to all key HR features like pay-roll and also advantages monitoring, soft skill management, onboarding, and also cooperation. Among the prime tasks of the HR department is to care for staff member troubles, one of the most crucial of which is the employee's psychological wellness. Courtesy of AI, we have actually discovered a method out of this. The employer need only go into a few requirements and the bot will just wade its means with your pile of applications and also take out the very best of the great deal. After that it depends on our experienced HR professionals to cherry-pick thebest for the position! These five technologies are still in their incipient phases as well as are not yet regular attributes for all companies. This is where Radixweb can aid you with valuable experience as well as understandings, gathered over years of experience in aiding organizations and also their tech needs with electronic change solutions. To reach out to us to discuss even more innovation fads in business, offer us a telephone call or go down an email!.?.!!. Because of the disastrous hit of the pandemic from the yearand database monitoring to keep your data safe. In 2021 data rules advertising completely, with 93 %of advertising supervisors concurring that utilizing client data for advertising is sure to give promising results.

[precisemarketreportsandinsights]

Artificial Intelligence Courses for C-Suite Executives Market to grow at a CAGR of 35.96% From 2017-2021

The worldwide artificial intelligence courses for C-suite executives market is likely to grow substantially by 2021. Increasing use of artificial intelligence (AI) for upgraded and cost-effective industrial operations and growing need for personnel with improved skillsets can propel the market during the forecast period (2017 to 2021).

Request A Sample Copy of This Report at: https://www.radiantinsights.com/research/global-artificial-intelligence-courses-for-c-suite-executives-market-2017-2021/request-sample

Industries are extensively implementing AI technology for efficient business operations. Growing demand for AI-based projects is a major driving factor for the market. Organizations are increasingly integrating AI machine learning, deep learning methodologies, and natural language processing with developing technology platforms such as Internet of Things (IoT).

Growing competition and changing trends are demanding new expertise from individuals. Corporate trainings are provided to executives to upgrade their knowledge according to current market trends. Therefore, organizations are combining in-house talent and technological resources with services offered by corporate training providers, the demand for which has increased in recent times. C-suite executives may pursue AI courses for additional skillsets and increase their eligibility as it can assist in transforming outdated work practices. After learning AI, C-suite executives can improve their business operations.

The worldwide artificial intelligence courses for C-suite executives market can be fragmented on the basis of course type and learning model. Based on course type, the market can be classified into workshops and certification courses for C-suit executives. As per learning model, the market can be categorized into online learning and blended learning.

Geographically, the market can be divided into North America, Europe, Asia Pacific, and ROW. North America has been an early adopter of AI technology. Growing job opportunities due to rising implementation of AI in many fields including biotechnology, healthcare, pharmaceutical, manufacturing, BFSI, automotive, and transportation will boost market growth in this region.

Browse Full Research Report with TOC on https://www.radiantinsights.com/research/global-artificial-intelligence-courses-for-c-suite-executives-market-2017-2021

Europe is expected to exhibit momentous growth due to increasing adoption of cloud-based AI deployment as this form of deployment provides easy document control and quick on-demand access to data. Additionally, many private and public organizations are collecting domain-specific information issues including marketing, medical informatics, cybersecurity, and fraud detection. Big data with AI aid in analyzing such unstructured and unsupervised data by continuously refining each set of data.  

Asia Pacific artificial intelligence courses for C-suite executives market is expected to show substantial growth due to remarkable rise in technological development and implementation of AI technology in end-use industries including healthcare and automotive. In addition, growing adoption of image and pattern recognition in this region can have a positive impact on the market.

Prominent course providers include American Institute of Artificial Intelligence (AiAi), Informed AI, AI-Academy, ASI Data Science, and Udacity. The market looks highly concentrated owing to existence of limited vendors providing AI courses. These vendors have widespread and strong influence worldwide. They compete with each other in terms of course structure, content, price, duration of course, mode of course delivery, and live projects. Training providers are also trying to attract more clients by offering cloud-based online courses, so learners may attend classes as per their convenience.

For instance, the NVIDIA Deep Learning Institute (DLI) recently introduced GPU-accelerated deep learning platforms. This course provides online training of deep learning for data scientists, developers, and researchers. It is accessible through various options such as on-premises and Amazon Elastic Compute Cloud (Amazon E2C).                  

About Radiant Insights Radiant Insights is a platform for companies looking to meet their market research and business intelligence requirements. We assist and facilitate organizations and individuals procure market research reports, helping them in the decision making process. We have a comprehensive collection of reports, covering over 40 key industries and a host of micro markets. In addition to over extensive database of reports, our experienced research coordinators also offer a host of ancillary services such as, research partnerships/ tie-ups and customized research solutions.

Media Contact: Michelle Thoras 201 Spear Street 1100, Suite 3036, San Francisco, CA 94105, United States Tel: 1-415-349-0054 Toll Free: 1-888-928-9744 Mail: sales@radiantinsights.com

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Artificial Intelligence Courses for C-suite Executives Market by Type, Application, Element, & by Region - Global Trends and Forecast to 2021

Artificial Intelligence Courses for C-suite Executives Market by Type, Application, Element, & by Region – Global Trends and Forecast to 2021

Artificial Intelligence Courses for C-suite Executives Corporate training is provided to employees of an organization to bridge the learning gap. The learning gap emerges when the knowledge gained in universities and colleges is not enough to help an individual perform at workplaces. The foremost benefit of providing this training is that employees become well-aware of their roles and…

[jinalimarketing]

CAREER IN DATA SCIENCE

Data Science is a set of abilities for gathering, structuring, storing, managing, and analysing data as a valuable resource for businesses that want to make data-driven decisions. Data science remains one of the most promising and in-demand career pathways for qualified individuals. Data is valuable, and the science of deciphering it is as well. Data is being generated in billions of bytes, and its worth has now surpassed that of oil. Data science is a discipline that combines domain knowledge, programming abilities, and math and statistics knowledge to extract useful insights from data.

Machine learning algorithms are used to numbers, text, photos, video, audio, and other data to create artificial intelligence (AI) systems that can execute jobs that would normally need human intelligence. When we consider why data science is becoming more essential, we must consider the fact that the value of data is increasing. Data science is a popular field that examines how digital data is reshaping businesses and assisting them in making more informed decisions. So, for folks who want to work as a data scientist, digital data is everywhere.

What is the significance of data science? Because data scientists are needed in practically every industry, from government security to dating apps, data scientists are in high demand. Big data is used by millions of businesses and government agencies to succeed and better serve their customers. Careers in data science are in high demand, and this trend is unlikely to change anytime soon, if ever.

WHY EDUVOGUE ??

The Eduvogue Full Stack Data Science Course will teach you all you need to know about becoming a full-stack data scientist. You may start your career in data science right now with India's number one data science training. Learn 100% practical aspects of establishing and implementing plans in an international business setting, plus 10% required theory. This course is designed to help you succeed in the field of data science in the long run. You'll be prepared for positions as a data scientist with the skills you'll learn, and you'll be ready to work with mnc and corporate straight away. After completing the course, you will be job ready and able to work for medium or corporate organisations with a high pay package.

DIFFERENT TYPES OF CAREER IN DATA SCIENCE ARE AS FOLLOWS: -

DATA SCIENTIST: -

Become a data scientist is a highly sought-after professional option, according to several sources. Data scientists collaborate closely with business stakeholders to learn about their objectives and how data may help them achieve them. They construct algorithms and prediction models to extract the data that the business need, as well as help analyse the data and share findings with peers. They usually have a good business sense and a basis in computer science, modelling, statistics, analytics, and arithmetic. Within an organisation, data scientists may be true game changers. Both executives and developers need data scientists to help them create better products and paradigms. And as their function in big company grows in importance, they are becoming increasingly scarce. Therefore, Data Scientist are high in demand in every industry.

DATA ANALYST: -

Because firms are rapidly expanding their analytics capabilities, the data analyst position is in high demand. Data analysts are usually in charge of converting large data sets into usable formats like reports or presentations. To suit corporate demands, they collect, analyse, and report data. Identifying new data sources and strategies to improve data collecting, analysis, and reporting are all part of the job. A skilled data analyst will be well-versed in R, Python, HTML, C/C++, and SQL. Data analysts deal with a wide range of information, such as inventories, logistics and transportation expenses, market research, profit margins, and sales numbers. They use this information to assist the company in estimating market share, pricing items, timing sales, and reducing transportation expenses, among other things.

DATA ENGINEERS: -

The designers, builders, and managers of the information or big data infrastructure are known as data engineers. Data engineers create data pipelines that convert unstructured, raw data into formats that data scientists can analyse. A data engineer has knowledge of SQL, HIVe, Pig, R, Matlab, SAS, SPSS, Python, Java, and Ruby, as well as a foundation in software engineering. Netflix, Facebook, Target, and Capital One are among the best places to work as a data engineer. Because data engineers might come from a variety of educational backgrounds, soft skills like communication, presentation, and cooperation are valued by many organisations.

BUSINESS INTELLIGENCE ANALYST (BIA): -

Business intelligence analysts collect data in a variety of ways, including using software to mine a company's computer data, evaluating competitor data, and suggesting ways to enhance and cut expenses. A business intelligence analyst may be generating reports for firm executives, meeting with developers to optimise data storage structures, or giving a presentation on performance indicators to help minimise costs. BIA is a member of the business development team, and they collaborate closely with strategic planning and business development to bring value to decision-making. They also do cost-benefit studies on strategic projects in order to improve firm performance, interview employees, and observe performance in order to evaluate the resources, operations, staff, facilities, and equipment that are required.

STATISTICIAN: -

A statistician is a person who uses mathematical approaches to assist in the analysis and interpretation of data in order to address real-world problems. In the fields of research and academia, statisticians have played a long and vital role. Academics, government, healthcare, business, engineering, and marketing are just a few of the industries where statisticians can work. The demand for statisticians in the business world has increased as a result of the explosion of data generation. A statistician can operate as a generalist, but specialising in a particular field can help them stand out to potential employers. In India, a statistician might earn anywhere from INR 2.3 LPA to INR 20 LPA.

MARKETING ANALYST: -

If you enjoy research and have a natural affinity for numbers, you should be introduced to one of the more active professions in the marketing mix, the Marketing Analyst. It's not just about the research and analysis; it's also about the communication that comes with presenting your statistical findings and the strategic thought that goes into the answers you offer. A marketing analyst researches data to help businesses make more educated judgments regarding market prospects. When assessing big data sets, a market analyst employs statistical, quantitative, and analytical skills. This is a more entry-level position in data science. The goal is to figure out the product a business should make and how to market it.

DATA MINING SPECIALIST: -

Within a company, data mining specialists are responsible for a variety of responsibilities. A data mining expert's job is to find patterns and links in order to help a corporation forecast future behaviour. Transactional, non-operational, and metadata data are the three forms of data that data miners work with. A data mining specialist can assist firms in making more informed, data-driven decisions by translating data into insights. Data mining specialists conduct research, mine data, model correlations, and then present their findings to clients using data visualisation techniques such as graphs, bar charts, and scatterplots. A data mining professional does this by using statistical software to explore, mine data, and model correlations. In the next five years, demand for data mining specialists is predicted to increase by 20%.

These are the various careers in DATA SCIENCE and Data science continues to evolve as one of the most promising and in-demand career paths for skilled professionals.

[seedfinance]

PYMNTS Launches The Connected Economy, CE100 Financial Index

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Two weeks ago, Ferrari appointed its third CEO in as many years. That wasn’t the big news. This new CEO, Benedetto Vigna, is not a type of car but a technician and not just any technician. It comes from Europe’s largest semiconductor chip manufacturer STMicroelectronics. There he led what has been called STM’s most profitable business unit: the one that builds and sells microelectromechanical systems and sensors: the things that power self-driving cars and in-car software innovations.

In late 2020, FedEx completed the acquisition of ShopRunner, a subscription-based Pureplay e-commerce shipping provider. That acquisition wasn’t material based on what FedEx paid to buy (they even said so). Judging by the insights and business model innovations that integrating logistics with retailers’ online order flow and the commerce ecosystem can offer, they say it is capitalized.

Verizon purchased the BlueJeans video conferencing platform in 2020 with the aim of using video as a platform for new B2C and B2B use cases that will be charged by 5G. One of the earliest applications is healthcare, where telemedicine services are made safe and private for anyone with a mobile device. These patient-doctor interactions are also automatically synchronized with the patient’s electronic medical record. The boss at BlueJeans said convenience and efficiency are two of the most obvious benefits, but most of all he is excited about the opportunity to make doctors more accessible to patients who don’t have good health options today.

Other industries are also shifting. Automotive OEMs are moving to technology first. Logistics players are relocating trade first. Telecommunications companies are leveraging new networks to push the next frontier in healthcare. Three of many data points that the connected economy is at the center of the boardrooms and war rooms of every single company worldwide.

Today is the official launch of the PYMNTS ConnectedEconomy ™ platform. We have been working on and developing this for almost two years, long before the pandemic accelerated the path to digitization for everyone.

More than just another way of talking about innovation, ConnectedEconomy provides a framework to understand how people and businesses will get involved in the years to come, and offers a range of research and insights to help leaders realize their opportunities to recognize and use the networked economy.

Definition and measurement of the ConnectedEconomy ™ Measuring

The ConnectedEconomy ™ consists of companies that rely on the Internet as a fundamental aspect in the provision of goods and services. In order to organize and follow the developments of the connected economy, PYMNTS has divided them into 10 pillars. Each represents a component of the globally networked economy that is developing rapidly. Together they represent the segments that will determine its future.

Pillars go far beyond the classic categorization and measurement of companies. Each pillar represents a set of broad activities that people and businesses participate in to achieve a specific goal. It is even more important that digitization is redefining activities and results for the pillars.

And these pillars are not independent verticals, but rather intertwined, which often complement one or more other pillars.

Take the grocery store – a vertical defined by the amount of stores people go to to buy their groceries.

Take restaurants – a vertical that represents the set of establishments that prepare food and serve it to consumers inside or outside the store.

Take food. It’s a pillar that reflects the blurring of the lines between the verticals that people use to buy, prepare, and consume their food. Eat is a new ecosystem that reflects the use of connected devices, apps, payments and other technologies by businesses and people to meet the consumer’s basic need for food.

PYMNTS has identified 10 pillars of the ConnectedEconomy.

Four of the pillars provide essential services that people rely on to perform much of their daily lives. People have to pay (and get paid)), Bank, communicate and travel.

People use another five pillars to run, maintain, and enjoy a household. As dwell is about managing their home and daily life and how they have it fun This is how they spend their free time. Then there is how (and where) they are eat and business. job is what most people have to do in order to do everything else.

Finally people want Stay healthy and live longer and healthier.

How people live in the networked economy

PYMNTS not only wanted to define the ConnectedEconomy ™, but also to understand how people live in it and appreciate it.

The PYMNTS ConnectedEconomy ™ platform presents the results of our first population-based study of 15,000 US consumers, conducted in April 2021. We conducted this study to better understand how digitally connected US consumers are today and where they find the natural synergies between the ten pillars of our connected economy and why. We plan to update this study annually, expand it to other regions, and launch specific pillar-based studies to better understand consumer and supplier dynamics within each region.

The study provided more than five million data points, which our analytics team combined into seven key insights. These insights provide a framework for how leaders should ponder the role they are planning in making the connected economy reality – one that two-thirds of the US population consider valuable and important.

You can download the full report here. You can find my opinion on the most important findings here.

The ConnectedEconomy ™ companies

We wanted to put the ConnectedEconomy ™ framework to the test by identifying a number of companies that we believe will predict the future of the connected economy. Today debuts the PYMNTS CE100 Index, a patent-pending financial index of this basket of 100 companies.

Reaching that 100 was a journey. First, PYMNTS selected a basket of 140 companies and asked eight highly respected payments investors and innovators to contribute to the list. The criteria are simple: Listed companies that are traded on all stock exchanges around the world enable or drive the future of the networked economy within and across the 10 pillars.

The final cut reflects a quantitative assessment of more than 100 variables and a qualitative assessment based on our experience, history, and a basic understanding of what determines long-term success in highly complex ecosystems. We plan to realign this basket of companies every quarter as more companies go public and become potential competitors.

We will publish a daily update on the performance of our CE100 index compared to other popular indices. The CE100 Index does not weight stocks proportionally by market capitalization – it’s a comprehensive measure of the growth of related economic players that limits the bias of some of the less powerful big tech performers who are part of the basket. It is important that, despite this adjustment, the CE 100 index has both turned backwards and outperformed the other major financial market indices until 2015 and at least until today.

Bookmark this link to check the progress of the CE100 index every day.

The captains of the ConnectedEconomy

Over the past six months, we’ve also spoken to 50 CEOs and C-suite executives from some of the largest and most innovative companies in the world to hear their views on the connected economy and their place in it. A common theme in all of these conversations is how much you’ve thought about the idea of ​​a connected economy, even without using those words. She and her teams use software, new technology, and connected devices to not only improve activities within each of these pillars, but to blur the lines between them to create methods of engagement.

Their conversations are also premiering today: Here you can see and hear yourself. And an eBook with their common thoughts – a window into the future of the ConnectedEconomy can be found here.

We will continue to speak to those in the know and tell you about what we hear as a regular feature of the platform.

What’s next

Since day one, the guiding principle of PYMNTS has been “What’s next” – with a number of proven frameworks based on cutting-edge economics, how innovations emerge and scale in dynamic markets in order to identify and analyze relevant trends before they become mainstream .

“What’s next” now includes an expanded focus on the networked economy. The PYMNTS ConnectedEconomy platform is the only place on the web where data, news, and insights about the innovations that drive the connected economy can be found – and the voices of those who deliver them – can be consistently heard.

We are pleased to be able to offer you a seat on the Ring to see how the future of our global economy develops.

———————————

NEW PYMNTS DATA: AI IN FOCUS: THE BANKING TECHNOLOGY ROADMAP

About the course: The AI ​​In Focus: The Bank Technology Roadmap is a research- and interview-based report that examines how banks are using artificial intelligence and other advanced computer systems to improve credit risk management and other aspects of their business. The playbook is based on a survey of 100 bank managers and is part of a larger series evaluating the potential of AI in finance, healthcare and other sectors.

source https://seedfinance.net/2021/06/21/pymnts-launches-the-connected-economy-ce100-financial-index/

[aishwaryaanair]

AI in Action: Certifications That Empower Leaders and Innovators

Artificial Intelligence (AI) is no longer a futuristic concept — it’s a transformative force shaping industries and redefining leadership. As organizations race to harness the potential of AI, the need for visionary leaders and innovators who understand the technology and its ethical, strategic, and operational implications has never been greater. Certifications in AI are emerging as powerful tools to equip professionals with the expertise needed to lead in this era of rapid technological advancement.

The Growing Demand for AI-Driven Leadership

AI is revolutionizing how businesses operate, enabling them to automate processes, analyze vast amounts of data, and deliver personalized customer experiences. However, implementing AI at scale requires more than technical expertise — it demands leaders who can:

Navigate Complex Ethical Issues: Understanding AI ethics is essential to mitigate risks like bias, data privacy violations, and unintended consequences.

Drive Strategic Implementation: Leaders must align AI initiatives with organizational goals to maximize value.

Foster Innovation: Visionary leadership is key to identifying and capitalizing on AI opportunities across industries.

The right certifications can bridge the gap, equipping leaders with the skills to oversee AI adoption while addressing its challenges.

Why AI Certifications Are Essential for Leaders and Innovators

1. Build Credibility and Expertise

AI certifications validate your knowledge and signal to employers, clients, and stakeholders that you have the expertise to lead AI projects.

2. Gain a Competitive Edge

In a competitive job market, certifications help you stand out by showcasing your commitment to staying ahead of technological trends.

3. Learn Ethical and Strategic AI Implementation

Certifications offer a balanced approach, covering technical skills, strategic planning, and ethical considerations to ensure responsible AI deployment.

4. Accelerate Career Growth

Whether you’re an executive, a project manager, or an entrepreneur, AI certifications open doors to new opportunities and leadership roles.

Top AI Certifications for Leaders and Innovators

1. AI+ Executive™ by AI Certs

The AI+ Executive™ certification by AI Certs is specifically designed for leaders aiming to harness AI for strategic impact.

Key Features:

Strategic Focus: Learn how to integrate AI into organizational strategies, ensuring alignment with business objectives.

Ethics and Governance: Understand the ethical implications of AI and how to establish governance frameworks for responsible AI use.

Real-World Applications: Gain insights from case studies and workshops tailored for executives.

This course is ideal for C-suite executives, senior managers, and entrepreneurs looking to lead AI-driven transformations in their organizations.

Use the coupon code NEWCOURSE25 to get 25% OFF on AI CERTS’ certifications. Don’t miss out on this limited-time offer! Visit this link to explore the courses and enroll today.

2. Artificial Intelligence: Business Strategies and Applications by Berkeley Haas

This certification by the University of California, Berkeley, focuses on the strategic application of AI in business contexts.

What You’ll Learn:

How to identify AI opportunities across industries.

Techniques to evaluate and implement AI solutions.

Frameworks for managing the organizational and cultural impact of AI adoption.

3. AI for Business Leaders by Coursera (Northwestern University)

Offered through Coursera by Northwestern University, this course is designed for business leaders who want to understand the strategic value of AI.

Program Highlights:

Learn to assess the feasibility of AI projects.

Explore the economic impact of AI on business models.

Understand the ethical and societal implications of AI adoption.

4. Oxford Artificial Intelligence Programme by Saïd Business School

This program from the University of Oxford provides an in-depth understanding of AI’s role in business transformation.

Key Features:

Explore AI tools and their applications across various industries.

Develop leadership skills for managing AI projects.

Understand AI’s impact on workforce dynamics and global markets.

Industries Leading the Charge with AI Certifications

1. Technology and IT

Tech leaders are leveraging AI certifications to guide innovation in product development, automation, and data analysis.

2. Financial Services

In banking and insurance, certified leaders drive AI initiatives to enhance risk assessment, fraud detection, and customer service.

3. Healthcare

AI in healthcare is revolutionizing diagnostics, treatment planning, and patient care. Leaders with AI certifications play a pivotal role in ensuring these advancements are ethically and efficiently implemented.

4. Retail and E-Commerce

Retailers use AI for personalized marketing and inventory management. Certified professionals lead these initiatives, ensuring alignment with business goals and customer expectations.

How to Choose the Right AI Certification

With a plethora of AI certifications available, selecting the right one can be challenging. Here are some tips to guide your decision:

Understand Your Goals: Choose a certification that aligns with your career aspirations — whether it’s driving innovation, managing AI projects, or understanding AI ethics.

Research the Curriculum: Look for courses that balance technical knowledge with strategic and ethical considerations.

Check Industry Recognition: Opt for certifications from reputed institutions like AI Certs, Berkeley, or Oxford for maximum credibility.

Evaluate Flexibility: For busy professionals, online and self-paced courses offer the flexibility to learn without disrupting your schedule.

The Future of AI Leadership

As AI continues to reshape industries, the demand for leaders who understand its intricacies will only grow. According to a report by PwC, AI could contribute up to $15.7 trillion to the global economy by 2030, underscoring the need for skilled professionals to drive this transformation responsibly.

Final Thoughts

AI is more than a tool — it’s a catalyst for innovation and a driver of strategic success. Leaders and innovators who invest in certifications like AI+ Executive™ position themselves at the forefront of this technological revolution.

Whether you’re looking to scale your business, optimize operations, or address ethical challenges, AI certifications provide the knowledge and credibility needed to excel. Embrace the opportunity to lead in the AI era and make a lasting impact on your organization and industry.

[pradeepiit]

Why should you learn a selenium training course?

Selenium is the best automation tool for testing that is most widely used in the world and the demand for selenium experts increased like never before. In the last few years, there is significant growth in the field of testing. There is a high demand for testers in today’s IT industry. Enrol in selenium training online to master over the tools and techniques. While on training you will be familiarized with the real-life issues and problems that may occur when you work on live projects as a part of your career. As a beginner working in selenium live projects helps you to explore the teamwork environment and helps you to create more contacts which may help you to build your career.

What is selenium?

Selenium is an automated testing suite to test web applications over diverse browsers and platforms. For authoring functional tests it gives a playback. So you don’t need to put effort into learning a test scripting language. The scripts can be created in any specific programming languages like Java, Python, C#, PHP, Ruby, Perl &.Net. It works on modern web browsers and almost all popular platforms. It provides extensive features as listed below

Multi-platform support

Multi-browser support

Supports cross-browser testing

Multiple programming language support

Support test mobile web applications

Open-source

Selenium as a career:

Are you an automated test engineer and love software testing? Then to improve your technical knowledge you should take up the selenium training near me. If you qualify in the selenium course, surely you will have a better career opportunity where companies are increasingly making use of web applications, test automation market trends with extensive demand with selenium.

Moreover, selenium makes functional testing easier and convenient to receive ROI much faster by reducing the cycles involved in testing. It is a powerful open-source automation tool which is known for its effective delivery.

Worldwide there is a long list of companies that rely on selenium resources to check their needs. Most tech giants such as Microsoft and Facebook prefer selenium test automation tools together with various other big firms such as Google, LinkedIn, IBM, Mozilla etc. Here are a few popular job roles of selenium.

Automation test lead

Senior test engineer

Quality engineer

Selenium automation analyst

QA Engineer

Automation testing using selenium:

In an era of highly interactive and responsive software processes, global businesses are facing the challenge to improve performance and solve critical issues. Most companies have implemented Agile methodologies in order to meet the criteria.

In Agile development, Test Automation is the core that has become a software project prerequisite. Every company wants to reduce its cost of manual testing, therefore started using selenium where it replicates the analysis of structure and regression.

Selenium is an automated testing tool that prevents repetitive manual work, provides faster input, saves time consistently on running tests, reduces manual testing cost and guarantees reliable testing. In the field of automation testing, selenium training helps the quality analyst and developers to perform testing.

Scope of Python selenium:

Everywhere you can count on selenium specialists. Python is here to stay with the emergence of the Robot. Python has played a major role in automation, in the field of Machine learning and Artificial Intelligence. In python most of the machine learning and artificial intelligence libraries are accessible.

Where the selenium tool is used?

Selenium is the preferred tool that has a lot of things that you should know which Selenium tool is the right one for your requirement.

Record-playback mode (Selenium IDE): Selenium IDE enables software testers to record test scenarios that are used to develop test cases. To record user actions it provides a simple Graphical User Interface (GUI).

Selenium RC: Selenium RC is a software tool that is used to write an automated web application in any programming language against any HTTP website.

Selenium WebDriver: Selenium WebDriver is an extended version that supports many of the new browsers and platforms. It uses the automated features and support of the browsers.

Selenium grid: Selenium Grid is a tool that runs simultaneously parallel tests across various machines and browsers.

Availability of frameworks:

Frameworks are similar to templates where you can make a slight modification to the code as per your requirement. There are various frameworks available:

Data-driven testing

Keyword-driven testing

Hybrid testing

Module driven testing and many more

Strong presence in the DevOps lifecycle:

In the DevOps lifecycle selenium is an integral part where most companies are now replacing Agile or Waterfall approaches with the DevOps approach. DevOps emphasizes on using open source tools where very few testing tools qualify as a DevOps tool.

Nowadays, most of the software products developed and are delivered on the cloud where web-based testing tools are the one that is extensively used.

Easy integration with other tools:

Selenium is an open-source tool where it can be easily integrated with other tools. These tools have a lot of takers where most of the tools used in DevOps are useful. You can achieve automation when these tools are integrated with Selenium.

Some of these tools are TestNG, Jenkins, Maven, JUnit, AutoIT, Sikuli.

Parallel and distributed testing:

On the same machines or on remote machines multiple selenium test cases can be executed in parallel. On remote machines, the selenium grid is used for executing the test cases. You can save time to run tests by performing parallel and distributed testing. You can run and execute the tests on web servers. It is necessary to execute the tests quickly and efficiently

Flexibility while designing test cases:

In selenium when designing test cases you have the flexibility to design it either via programming logic or by record and playback approach. You can write your logic using selenium webdriver later you can export of your choice.

Wrapping it up:

In the automation testing industry selenium has a great scope where learning selenium will help you to open up your gateway to switch into the IT field. Certainly learning selenium will give you more mileage to your resume and enhances the chances of getting better job opportunities. Make use of this resource and learn selenium to bright up your future.

[go-sanjay-yadav]

What is selenium and Scope of learning selenium?

Selenium is an open-source testing framework that supports cross-browser testing of web applications and ensures the product to be market-ready. It is the top automated testing software. If you want to drive yourself into the IT field learn selenium with complete practical sessions and hands-on projects. Selenium training can help business by reducing testing effort, cost-effectiveness, speed, platform compatibility, and much more. The selenium test suite comprises several tools such as WebDriver, Remote Control, IDE, and Grid where each has a distinct functionality. 

Learn Java with selenium:

Learning Java for selenium will enhance your professional prospects. Software testers who learn selenium with java know the programming basics very well and can excel as an effective software tester. During the testing process, java knowledge helps the testers to relate and imagine the code structure, thus providing great value to the developers and system engineers. Learning java with selenium has increasingly easy to use that helps developers by demonstrating exact mistakes and arrangements. 

Reasons to learn selenium course

Selenium that automates web browsers is an open-source tool. Its single interface helps you to write test scripts in programming languages like Java, Ruby, PHP, Python, Perl, and c#, among others.

1) Open special source/free tool: Selenium can use anybody for free, where it is an open-source tool. Using selenium WebDiver any organization can use selenium to test their website or web application and even independent programmers can learn and practice automation testing.

The other testing tools licensed tools, or their functionality is not as good as Selenium. IBM’s RFT, TestComplete, HP’s QTP, Ranorex are all proprietary (licensed) tools. Selenium is the clear winner Feature-wise when compared to the others, no second thoughts!

2) No Special OS/ Browser/ Hardware Demands: The benefit that you get with Selenium is that you don’t need a system with 16gb RAM or high HDD. For Selenium testing, the OS you use for home purpose is good enough.

You can test the website on any browser, be it Chrome or Firefox or Internet Explorer or Safari or even Opera for that matter of fact. Work with Selenium easily as it plugin USB drives to your system for transferring data.

3) Multiple programming language support: For any programmer to get into the Automation Testing domain, it is the single most important factor. Most tools in the market need you to be specialized in any one particular programming language like Java, VBScript, C#. You can choose to learn selenium in your specialization programming language like looking to learn selenium with python online courses. These are the common scripting languages required by various tools. There are many programming languages and you can choose which you are good at and it also depends on the type of organization you work. If you learn selenium, you may not face too many restrictions.

4) Availability of frameworks: 

Frameworks are simpler to templates where you can make a slight modification to the code as per your requirement for different conditions. The various frameworks are:

·         Data-driven testing

·         Keyword-driven testing

·         Hybrid testing

·         Module driven testing and many more

 5) Strong presence in the DevOps lifecycle: Selenium is an integral part of the DevOps lifecycle because most companies are now replacing agile or waterfall approaches with the DevOps approach. DevOps emphasizes on using open source tools, where only very few testing tools qualify as a DevOps tool.

Most of the software products developed nowadays are delivered on the cloud, web-based testing tools are the ones that are extensively used, this is where the selenium fits perfectly.

6) Easy integration with other tools: Selenium is an open source tool so it can easily be integrated. Where most of the tools used in DevOps are very useful and open source, these tools have a lot of takers. To achieve automation, these tools are integrated with selenium.

7) Parallel and distributed testing: On the same machine or remote machine, multiple selenium test cases can be executed in parallel. You can save time to run, execute the test by performing parallel and distributed testing.

8) No dependency on GUI Based systems: Without a GUI, Selenium tests can be executed. By integrating it with other tools the tests can be carried out on web servers and automation can be achieved by scheduling its execution by integrating it with other tools. The performance of your machines will drastically improve without GUI. 

Selenium job roles:

Learning selenium will help you to drive into the different fields.

·         Quality engineer

·         Automation test lead 

·         QA engineer

·         Selenium automation analyst

·         Senior test engineer, among others

  Scope of selenium in automation testing:

Learning selenium will help you to drive into the automation testing industry. It is open-source software and those who are interested in selenium automation testing can learn in a better way to find their place in top organizations. Selenium automation testing has an inclusive scope that is developing to make and support Linux, Windows and OSX. Professionally, there are different selenium training offers to learn more clearly about selenium testing web driver scripts and its frameworks. The scope and future are with trained test automation engineers. Learning selenium helps to know more concepts and artificial intelligence as a part of programming tools and languages. Selenium is highly flexible and adds functionality to the framework and test scripts to customize test automation. Learning selenium provides you with the knowledge and hands-on experience that help to excel in your career. 

Benefits of selenium tools:

The automation tools are relied upon by testing professionals most efficiently to test web applications. These automation tools help the professional to write test scripts using the particular programming language. To write test scripts, testers are required. The automation tools help the developer to integrate features to deliver a more vibrant and flawless user experience. 

Wrapping it up:

As technologies continue to evolve, automation tools like selenium can encounter several challenges. Selenium offers a free open-source environment for agile testing and certainly helps testers by reducing the effort of manual testing. Around the globe, selenium is a popular testing tool used in enterprises. The demand for selenium professionals will increase, so if you want to advance a career in IT, selenium training could be the place to start.

[thehtgroup-blog]

Navigating the Impacts of AI and Robotization to Seek New Job Opportunities

The emergence of robotics and artificial intelligence (AI) into the workforce has been regarded as a threat for the average worker, but the reality is more complex. A changing workplace is inevitable, and the businesses that are going to be affected, positively, and negatively, need to be prepared. Candidates looking for career changes, or to start their careers, also need to be prepared. Robotics and AI are going to have an influence from C-suite executives to production staff on a manufacturing floor.

The key to thriving as those changes become more widely implemented lies in responding appropriately. That response will include partnering with an IT staffing Austin agency to help you secure job opportunities in the busy, vibrant Austin, Texas area tech community. It should also include seeking opportunities to learn new skills to stay competitive in an evolving job market. The Impact of AI According to research by the Brookings Institute, the impact of AI on the workforce is a surprising one. Based on the study’s findings, many different workers are likely to encounter AI, from white-collar jobs to production workers. There is much less data about what, exactly, that exposure to AI will mean for those workers. One safeguard against potential disruption is to learn skill sets related to AI, whether that means using software for market analysis or learning to use AI-driven tools on the production floor. The Impact of Robotization Robotics, automation, and software applications are not all bad news for manufacturing. They may replace a large number of jobs: however, they’re also likely to create whole new professions and job categories. The narratives regarding the future of workplace automation and robotization all-too-often ignore how many jobs a hugely expanding field of practical robotics is likely to be. A shrewd job seeker would do well to seek out a staffing agency Austin which specializes in IT, and ask how they can leverage their existing skills and experience in the tech industry and what education they might need. Job Opportunities From Computerization New technologies in AI, automation, and robotics are creating job opportunities everywhere. When new technologies are unveiled, they require manufacturing, programming, updating, upgrading, and maintaining. For blue-collar workers, that means cleaning and maintenance of robotic infrastructure, manufacturing jobs, and all of the peripheral work that new industries require to operate. The job opportunities on the technical side are, of course, going to be considerable. This new technology is going to require coders, programmers, technical writers, quality control, cyber-security for new technology, and so on. Get Help From the Pros A more robotized, automated, and AI integrated workplace is going to be a more complex one. More complexity and specialization in the workplace mean more opportunities, but more competition for high-quality jobs. That alone makes turning to a professional recruiting agency a wise move. Partnering with professionals provides candidates with a terrific source of advice, industry insight, and contacts. They can help you apply for positions that suit you, and guide through the whole process until you land that dream job. About The HT Group Since being founded in 2001, The HT Group has provided businesses in the Austin, Texas area efficient, results-driven staffing and employee placement. They focus on building truly productive relationships with partners throughout the Austin area, including South Austin and North Austin, and in Beaumont, Texas. Specializing in temp-to-hire and temporary staffing, executive recruiting, and technical recruiting, The HT Group continues to change lives for the better every time they make a placement. If you’re interested in top talent, get in touch with The HT Group, an incomparable technical, executive, and Austin executive recruiters. Find out exactly how The HT Group can help change your life and land that dream job at Thehtgroup.com Original Source: https://bit.ly/33U2gzi

[nicolasmatamoros6675]

AI in Agriculture Market Scenario Highlighting Major Drivers & Trends, 2027

Global AI in Agriculture Market: Overview

Artificial Intelligence has various application in agriculture ranging from rural automatons, facial acknowledgment, computerized water system frameworks, and driverless tractors. These applications are done in relationship with an alternate sort of sensors, GPS frameworks, radars, and other cutting edge contraptions dependent on AI. Considering these broad applications, AI is getting a colossal reaction from investors all around. Man-made reasoning (AI) is one such critical innovation in the present advanced agriculture that is being actualized and conveyed for more sustainable utilization of available assets. Increasing utilization and rising necessity of better yield of products are assessed to be one of the central point that is fueling the demand of robots in agriculture.

The report offers various perspectives into the various factors boosting market segments, competitive analytics, the market’s leading trends, and the restraints of the global AI in agriculture market. The study analyzes the various steps of progress witnessed by the industry considering current models that would impact the market over the forecast period of 2018 and 2026.

Request A Sample Copy Of The Report https://www.transparencymarketresearch.com/sample/sample.php?flag=S&rep_id=55065

Global AI in Agriculture Market: Trends and Opportunities

Usage of AI in agriculture offers different focal points, for example, maximizing the product yield using machine learning and picture processing methods. For instance, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) collaborated with Microsoft to build up an AI-based sowing App that sends sowing warnings to ranchers mentioning the date following.

Later innovative progressions and the modernization of GPS are making ranchers and the agriculture specialist co-ops anticipate that additional upgrades will increase the profitability. Alongside the present non-military personnel benefit given by GPS, nations, for example, US is planning to actualize a second and a third signal on GPS satellites. This execution of new flags will upgrade the quality, and additionally proficiency of farming tasks, and along these lines, increase the general efficiency over the coming years.

Global AI in Agriculture Market: Regional Outlook

North America is evaluated to be the dominating locale in the worldwide AI in agriculture market. The growth of the market is credited to the high selection of trend setting innovations and item in agriculture part. Besides, selection of the prescient examination and remote monitoring innovation in agriculture is additionally contributing essentially towards the industry growth. What's more, higher innovative awareness is additionally backing the growth of the AI in agriculture market.

Then again, Asia Pacific is foreseen to encounter high growth rate during the coming years owing to the increasing demand from developing nations, for example, India and China. Besides, increasing adoption of the mechanical technology and IoT gadgets in agriculture is additionally assessed to drive the AI in agriculture market.

Global AI in Agriculture Market: Competitive Landscape

The AI market in agriculture is currently features moderate competition, with some established, international vendors dominating the market.

Leading vendors operating in the global AI in agriculture market are Granular, Agworld, Pycno, Farmlogs, Hortau, Trimble, and Grownetics.

Market segmentation based on geography:

North America

South America

Europe

Asia Pacific

Middle East and Africa

This report gives access to decisive data, such as:

Market growth drivers

Factors limiting market growth

Current market trends

Market structure

Market projections for the coming years

Key highlights of this report include:

Overview of key market forces propelling and restraining market growth

Up-to-date analyses of market trends and technological improvements

Pin-point analyses of market competition dynamics to offer you a competitive edge

An analysis of strategies of major competitors

An array of graphics and SWOT analysis of major industry segments

Detailed analyses of industry trends

A well-defined technological growth map with an impact-analysis

Offers a clear understanding of the competitive landscape and key product segments

Note: Although care has been taken to maintain the highest levels of accuracy in TMR’s reports, recent market/vendor-specific changes may take time to reflect in the analysis.

This study by TMR is all-encompassing framework of the dynamics of the market. It mainly comprises critical assessment of consumers' or customers' journeys, current and emerging avenues, and strategic framework to enable CXOs take effective decisions.

Request For Covid19 Impact Analysis https://www.transparencymarketresearch.com/sample/sample.php?flag=covid19&rep_id=55065

Our key underpinning is the 4-Quadrant Framework EIRS that offers detailed visualization of four elements:

Customer Experience Maps

Insights and Tools based on data-driven research

Actionable Results to meet all the business priorities

Strategic Frameworks to boost the growth journey

The study strives to evaluate the current and future growth prospects, untapped avenues, factors shaping their revenue potential, and demand and consumption patterns in the global market by breaking it into region-wise assessment.

The following regional segments are covered comprehensively:

North America

Asia Pacific

Europe

Latin America

The Middle East and Africa

The EIRS quadrant framework in the report sums up our wide spectrum of data-driven research and advisory for CXOs to help them make better decisions for their businesses and stay as leaders.

Below is a snapshot of these quadrants.

1. Customer Experience Map

The study offers an in-depth assessment of various customers’ journeys pertinent to the market and its segments. It offers various customer impressions about the products and service use. The analysis takes a closer look at their pain points and fears across various customer touchpoints. The consultation and business intelligence solutions will help interested stakeholders, including CXOs, define customer experience maps tailored to their needs. This will help them aim at boosting customer engagement with their brands.

2. Insights and Tools

The various insights in the study are based on elaborate cycles of primary and secondary research the analysts engage with during the course of research. The analysts and expert advisors at TMR adopt industry-wide, quantitative customer insights tools and market projection methodologies to arrive at results, which makes them reliable. The study not just offers estimations and projections, but also an uncluttered evaluation of these figures on the market dynamics. These insights merge data-driven research framework with qualitative consultations for business owners, CXOs, policy makers, and investors. The insights will also help their customers overcome their fears.

3. Actionable Results

The findings presented in this study by TMR are an indispensable guide for meeting all business priorities, including mission-critical ones. The results when implemented have shown tangible benefits to business stakeholders and industry entities to boost their performance. The results are tailored to fit the individual strategic framework. The study also illustrates some of the recent case studies on solving various problems by companies they faced in their consolidation journey.

4. Strategic Frameworks

The study equips businesses and anyone interested in the market to frame broad strategic frameworks. This has become more important than ever, given the current uncertainty due to COVID-19. The study deliberates on consultations to overcome various such past disruptions and foresees new ones to boost the preparedness. The frameworks help businesses plan their strategic alignments for recovery from such disruptive trends. Further, analysts at TMR helps you break down the complex scenario and bring resiliency in uncertain times.

You May Also Like PRNewswire on https://www.prnewswire.com/news-releases/sake-brewery-industry-to-play-a-positive-role-in-cubitainers-market-growth-from-2020-to-2028-transparency-market-research-301104740.html

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The report sheds light on various aspects and answers pertinent questions on the market. Some of the important ones are:

1. What can be the best investment choices for venturing into new product and service lines?

2. What value propositions should businesses aim at while making new research and development funding?

3. Which regulations will be most helpful for stakeholders to boost their supply chain network?

4. Which regions might see the demand maturing in certain segments in near future?

5. What are the some of the best cost optimization strategies with vendors that some well-entrenched players have gained success with?

6. Which are the key perspectives that the C-suite are leveraging to move businesses to new growth trajectory?

7. Which government regulations might challenge the status of key regional markets?

8. How will the emerging political and economic scenario affect opportunities in key growth areas?

9. What are some of the value-grab opportunities in various segments?

10. What will be the barrier to entry for new players in the market?

[wikimakemoney]

How to set your first AI project up for success

30-second summary:

Choosing your first AI project is essential as digital organizations evolve.

The correct use of AI is helping brands with insights with precision, accuracy and scale.

The benefits are measurable and real if you know what you want to achieve.

AI is here to help and complement marketers’ skills, help them with laborious tasks and unleash more creativity and elevate personal and professional performance.

A look at five simple steps organizations can take to start their AI journey.

Today, organizations of all types and sizes are implementing AI; according to Gartner, 70% of organizations will integrate AI in the workplace to assist and increase the productivity of their employees by 2021.

Artificial intelligence offers far more utility than simply automating processes, though. In digital marketing, AI is helping brands achieve the personalization and engagement it takes to drive revenue and loyalty in the current consumer environment.

From personalized content and product recommendations to dynamic pricing, intelligent chatbots, intent-driven search optimization and even data-informed content creation, AI is changing the game for marketers.

The benefits are measurable and real, with recent research showing that AI enables marketers to:

increase sales (52%)

increase in customer retention (51%)

and succeed at new product launches (49%)

In another study by McKinsey, 44% of companies reduced operational costs and increased business revenue by using AI in marketing.

How can you put AI to work within your own marketing organization? There is no singular path to AI success. Work through these questions to determine your level of AI-readiness, then check out five steps below to help you get started on your first AI project.

What is the current state of our data assets?

Algorithms are hungry for data, but like the food we feed our bodies the data you feed your AI tools is key. The problem is, most organizations are falling down on data governance.

A recent study showed that just 3% of organizations analyzed had Data Quality Scores considered acceptable by researchers.

What is our organization’s comfort level with the concept of AI?

If your marketing team and C-suite aren’t even talking about it yet, you may have some serious work to do in laying the groundwork for budget allocation and adoption. Your first step is advocating that decision-makers gain a basic understanding of AI and machine learning.

They don’t need an academic understanding of the internal workings of artificial intelligence, but should have a grasp of different AI techniques, models, approaches to data collections, and applications.

Artificial intelligence and machine learning: What are the opportunities for search marketers? offers a good primer on the opportunities and from there, there are plenty of free courses to work into your organization’s ongoing training.

How all-in do we want to go?

Maybe you want to streamline entire business or marketing processes. Or maybe you just want to dip your toe in the water.

Getting started in AI a lot easier than it was even a few years ago. The tools you already use may even be incorporating AI capabilities already—we’ll talk about that shortly.

What do we want our AI solutions to achieve?

Be specific. AI might be used to personalize content to customers’ needs and expectation, or to optimize aspects of the customer journey. You might use it in ad targeting or content promotion to get in front of more motivated audiences, or to create hyper-targeted campaigns that span networks and publishing platforms.

L’Oréal for example used BrightEdge (my company) AI based insights to drive 30% growth for Kiehl’s with quick answers. eBay uses AI to generate thousands of personalized email newsletter subject lines in minutes, for example.

It’s a very specific task with a clear benefit and measurable outcome that enables the marketing team to connect at a scale it would take an exceptional (and ultimately too costly) amount of human copywriting talent to achieve.

Don’t choose your AI solution first and then try to make it do what you need. Determine your desired outcomes so you can approach different tool providers with a solid idea of what you need your solution to do.

Do we have the skills and resources in-house to implement?

If you are looking for a solution to digitally transform the business, start by making sure you have the right talent in-house to help guide the solution to successful implementation.

You might need programmers with specific language skills to make it happen—Python, R, Proof, Lisp or Java are commonly used in AI applications. You’ll need managers with equal parts creative and analytical skills to encourage adoption, troubleshoot, and analyze performance, as well.

Are we adding to or replacing elements of our stack?

Will your AI solution integrate with all other elements of your stack, or might you inadvertently be creating new (time consuming) workarounds?

CMOs need to manage the performance of the stack as a whole and ensure that any new introduction to it serves a necessary purpose without taking away from any other function. If there are challenges in integration, can your choice of vendor help you find a solution?

In some cases, integration is less a concern, particularly when the output is immediately actionable and augments the human team’s performance.

In my role I have seen customers with massive gains from the use of real-time research and automation such as 2X increase in conversions and 28% improvement in ad quality score.

AI led research can help enable brand’s content teams to quickly identify the most lucrative content gaps and create content optimized to meet those exact needs.

Getting started with AI: Five tips for selecting your first project

In a recent HBR column, Coursera founder Andrew Ng recommends that brands start small and use your first AI projects to build organizational confidence in the technology. “The purpose of your one or two pilot projects is only partly to create value,” he said. “More importantly, the success of these first projects will help convince stakeholders to invest in building up your company’s AI capabilities.”

Keep that in mind as you establish your success metrics, and use these 5 tips to get you started:

See if your current vendors have AI. Maybe they don’t today, but is it on the roadmap? You may have AI features and functionalities coming to your stack via the solutions your teams are already using.

Pick a project based on low-hanging fruit. Personalization is perhaps one of the most pressing needs in marketing. How can you better connect with consumers and meet their needs for tailored content? The American Marketing Association used AI with NLP (Natural Language Processing) to personalize its email newsletter content and boosted engagement by 42% in the process.

Document use case. What steps or actions are needed to ensure your AI solution is able to achieve the goals you’ve set out for it? Make sure each member of the team understands their role and any ways they are expected to support the project.

Empower staff to work alongside and maximize the value of your AI. Ideally, your team and technology complement and augment one another’s performance; your employees should never be made to feel as though they’re being replaced or competing against tools for budget. Support your team with a robust AI training program and nurture a culture of failing fast and moving on.

Measure performance and analyze outcomes. Again, for your first project you aren’t necessarily looking for outcomes as massive as gains in continental market share, as Coca-Cola was with its Trax Retail Execution AI. Your KPIs for your first project will depend on your solution but should include multiple metrics that give you a clear view of actual performance. This might include email opens, content engagement, time saved, sales driven, etc.

Want to learn more? Read Finding intelligence to act on from big data: a five step approach and read more about some key influencers to follow here.

The post How to set your first AI project up for success appeared first on ClickZ.

source http://wikimakemoney.com/2020/08/14/how-to-set-your-first-ai-project-up-for-success/

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The AI Certification Boom: Unlocking New Career Opportunities

In today’s fast-paced technological landscape, Artificial Intelligence (AI) is revolutionizing industries and reshaping job markets. From healthcare to finance, AI applications are making processes more efficient, improving decision-making, and driving innovation. However, as organizations increasingly adopt AI, the demand for skilled professionals who understand its intricacies has skyrocketed. AI certifications have emerged as a golden ticket, unlocking lucrative career opportunities and enabling professionals to stay competitive in this rapidly evolving field.

Why AI Certifications Matter

AI certifications serve as proof of expertise in this complex domain. They equip professionals with the technical skills, ethical understanding, and strategic insights needed to harness AI’s potential effectively. These certifications are particularly beneficial for:

Career Changers: Individuals looking to break into the tech industry or pivot to AI-specific roles.

Industry Experts: Professionals aiming to enhance their current roles with AI-driven insights.

Tech Enthusiasts: Beginners who wish to build foundational knowledge in AI.

Must-Have AI Certifications

1. AI+ Executive™ by AI Certs

The AI+ Executive™ certification by AI Certs is tailored for leaders who want to integrate AI into their organization’s strategic framework. This course focuses on high-level concepts, including ethical AI governance, strategic implementation, and leadership in AI-driven environments.

Key highlights include:

Understanding AI’s impact on business operations and decision-making.

Insights into ethical AI practices and compliance.

Frameworks for leading AI projects and cross-functional teams effectively.

This course is ideal for business executives, C-suite leaders, and professionals managing AI-driven initiatives.

Use the coupon code NEWCOURSE25 to get 25% OFF on AI CERTS’ certifications. Don’t miss out on this limited-time offer! Visit this link to explore the courses and enroll today.

2. Google’s Machine Learning Crash Course

This free program by Google offers a beginner-friendly introduction to machine learning (ML), a critical subset of AI. The course includes practical exercises and coding labs, making it perfect for individuals with basic programming knowledge who want to dive into AI concepts.

Course features:

Interactive ML concepts with TensorFlow.

Real-world problem-solving case studies.

A flexible structure suitable for self-paced learners.

3. IBM AI Engineering Professional Certificate

IBM’s AI Engineering Professional Certificate provides a comprehensive dive into AI applications, covering machine learning, deep learning, and neural networks. This certification is well-suited for tech professionals aiming to develop AI-powered solutions.

What you’ll learn:

Building and deploying AI models using tools like Python and TensorFlow.

Neural network optimization techniques.

Practical insights into AI’s role in industries such as healthcare and finance.

The Booming Demand for AI Professionals

The global AI market is projected to grow at a compound annual rate of 37.3%, reaching $1,597.1 billion by 2030. With industries such as healthcare, finance, marketing, and logistics leading the charge, companies are actively seeking professionals equipped with AI expertise.

Roles like AI engineers, machine learning specialists, and data scientists are not only in high demand but also command impressive salaries. For instance, according to Glassdoor, the average annual salary for an AI engineer in the U.S. is $120,000, and experienced professionals can earn significantly more.

This demand is driven by businesses striving to leverage AI for:

Data-Driven Decision Making: AI enhances accuracy in predictive analytics, enabling businesses to forecast trends and customer behavior.

Process Automation: AI-powered tools optimize workflows, reducing costs and boosting productivity.

Customer Experience: AI personalizes interactions, improving satisfaction and retention rates.

Choosing the Right Certification

With an array of AI certifications available, selecting the right one depends on your career goals, expertise level, and industry focus. Here are a few factors to consider:

Skill Level:

Beginners should opt for foundational courses like Google’s Machine Learning Crash Course.

Advanced professionals can benefit from certifications like AI+ Executive™ or IBM AI Engineering.

Industry Focus:

If you’re in marketing, consider certifications that cover AI applications in customer analytics.

For those in finance, programs focusing on AI-driven risk assessment and fraud detection are ideal.

Accreditation and Reputation:

Choose certifications from reputable organizations, such as AI Certs, Google, or IBM.

Hands-On Experience:

Practical projects and case studies help you apply theoretical knowledge to real-world scenarios.

Cost and Flexibility:

Compare course fees, duration, and delivery methods (online or in-person) to find one that fits your budget and schedule.

The Future of AI Certifications

AI certifications are not just about immediate career advancement — they’re a long-term investment. As AI continues to integrate into every facet of business and technology, certifications will evolve to address emerging trends. For instance:

Ethical AI: Certifications focusing on ethical AI practices will become crucial as governments implement stricter regulations.

Quantum AI: As quantum computing gains traction, specialized certifications combining AI and quantum mechanics will emerge.

AI in Niche Industries: Sector-specific certifications, such as AI for healthcare or finance, will cater to growing industry needs.

Conclusion

AI certifications are more than just credentials — they’re pathways to unlocking new career opportunities, gaining specialized knowledge, and staying competitive in a tech-driven world. Whether you’re an aspiring AI engineer, a business leader, or a creative marketer, there’s a certification tailored to your needs.

Start your journey with a trusted program like AI Certs’ AI+ Executive™, or explore other reputable courses from Google and IBM. With the right certification, you’ll not only future-proof your career but also contribute to shaping the AI-driven future.

So, what are you waiting for? Dive into the world of AI certifications today and unlock the doors to unparalleled career success.