#Banking Analytics

[johnmathewblog]

Six Technologies That Will Impact Analytics in 2024

Data analytics is on the cusp of a dramatic evolution, one that will not only change how we analyze information but will fundamentally reshape the world around us. The future of data collection, analysis, and utilization is expected to undergo a radical change thanks to developments in artificial intelligence, data processing, and other technologies. This blog post what and how emerging technologies will impact analytics.

Source: https://www.latentview.com/blog/six-technologies-that-will-impact-analytics-in-2024/

Top Six Trends Impacting Analytics:

Microsoft Fabric

Generative AI

Data Storytelling

Advanced Data Governance

Augmented Analytics

Quantum Computing

1. Microsoft Fabric Microsoft Fabric is an all-in-one analytics solution for enterprises that covers everything from data transfer to data science, real-time analytics, and business intelligence. It provides extensive services, including data lake, data engineering, and data integration, all in one platform. Fabric is a platform that provides a highly integrated, end-to-end, and user-friendly solution for analytics needs. It is built on a Software as a Service (SaaS) foundation, which makes it simple and easy to integrate. Microsoft Fabric offers a complete analytics experience that works seamlessly together.

2. Generative AI ChatGPT, an example of generative AI, is like a futuristic smart assistant. Its versatility lies in its ability to produce human-like responses, including graphics, code, and conversations. Because it can learn from a vast amount of data, this technology is useful for a variety of activities. To put it simply, it makes our interactions with technology more creative and intuitive while also facilitating improved machine-human communication and new opportunities.

3. Data Storytelling Data storytelling is turning unstructured data into interesting narratives that make the information more approachable and useful. By using this strategy, organizations can improve communication and decision-making among diverse groups and close the knowledge gap.

Data storytelling through dashboards will gain more significance as there is a data deluge. The ability to use narrative to effectively communicate important findings will be crucial for democratizing data as it continues to grow in volume. We may expect a future in which people with different backgrounds will find it simple to understand and use data-driven insights, leading to more informed and cooperative approaches to problem-solving and decision-making.

In storytelling, emotions play a pivotal role—people tend to remember 95% of a story but only 5% of raw statistics. This highlights the incredible impact of emotional connection in making information memorable and resonant. Whether in business or education, integrating storytelling with data enhances understanding and retention, creating a more lasting impression.

4. Advance Data Governance It is a means of organizing and safeguarding every critical piece of data that a business possesses. It maintains order and security, offering more reliability and less confusion. Advance Data Governance aids businesses in adhering to the guidelines and policies governing the handling of data. This is important because data protection and usage regulations advance along with technology. It functions as a quality monitor for your data. It verifies whether the data is current and correct, which is crucial for making wise decisions.

Advanced Data Governance is more than just a technological advancement; it will fundamentally alter how businesses manage their most important resource, data.

5. Augmented Analytics By making data analysis simpler, augmented analytics will take the lead in 2024. It simplifies difficult data understanding, similar to that of a smart assistant. It will soon become an indispensable guide in the rapidly changing world of data and technology since it enables everyone to make well-informed decisions with ease. With Augmented Analytics, data engagement is made simple, even for non-technical people. This idea combines AI analytics with intuition, offering great promise for increasing knowledge and enhancing decision-making in a data-driven culture.

6. Quantum Computing Using the principles of quantum mechanics, this state-of-the-art technology allows computations to happen at rates that are unimaginable. As we move forward, quantum computing has the potential to have a significant impact on data analytics by enabling the execution of intricate procedures with previously unheard-of precision and efficiency. Large datasets can be quickly analyzed for patterns using quantum computing, which completes intricate computations in a matter of seconds as opposed to thousands of years for conventional computers. This speed clears the way for new developments in artificial intelligence, especially in the areas of predictive analysis, machine learning, and natural language processing.

The Way Ahead As we have come to the end of 2023, the future is not just promising; it’s a fusion of innovation, efficiency, and exploration. These developments bring in a time when technology influences our understanding of, ability to evaluate, and application of data, opening up a world of opportunities in the ever changing data horizon. While leaders adopt these emerging technologies, they must keep in mind the end goal–driving measurable impact.

[rajpalnayak123]

WNS’ industry-specific tools & methodologies deliver a comprehensive range of banking analytics services to help BFS clients to navigate through challenges. Our banking analytics services span the entire spectrum of the BFS industry – retail banks, commercial finance, capital markets, asset management and investment banks.

[workersolidarity]

[Photo source]

🇮🇱🇺🇸 🚨 CREDIT RATING ORGANIZATION, MOODY'S ANALYTICS PREDICTS HIGH DEFICITS AND INFLATION FOR ISRAEL

The credit rating agency, Moody's Analytics is predicting higher inflation and widening deficits for the Israeli State in a report released on Monday morning.

According to the Moody's report, the Israeli State can expect its deficit to widen to 3.5% by the end of 2023, and widen further to 7.8% in 2024.

Moody's further expects inflation rates to rise considerably to 6.8% in 2024, with GDP growth rates reduced to only 1.4%.

This directly contradicts predictions by the Bank of Israel, the occupation's central bank, which claimed the Israeli interest rate would remain flat at 4.75%, with expected inflation rates of 2.5% and GDP growth of 2.8%.

Last week, Moody's Analytics said it would be placing Israel's A1 foreign-currency and local-currency credit rating in review to consider how the events since October 7th are affecting the Israeli economy.

According to a separate report from the S&P, the Israeli economy can expect a 5% contraction in the Fourth Quarter of 2023.

"The change of outlook to stable from positive reflects a deterioration of Israel’s governance, as illustrated by the recent events around the government’s proposal for overhauling the country’s judiciary," the statement by Moody's Analytics said.

#source1

#source2

@WorkerSolidarityNews

[aiopsconsulting]

#AI #Banking #Chatbots #RPA #personalization — AI Ops Consulting (ai-ops-consulting.com)

[jcmarchi]

Ajay Kumar, CEO of SLK Software – Interview Series

New Post has been published on https://thedigitalinsider.com/ajay-kumar-ceo-of-slk-software-interview-series/

Ajay Kumar, CEO of SLK Software – Interview Series

Ajay Kumar is the CEO of SLK Software. Ajay is passionate about making a positive client impact while leading P&L’s across all verticals of SLK. An industry veteran, Ajay brings an entrepreneurial conviction, to grow and scale the business performance and give back to the community.

SLK’s AI-powered platforms and accelerators are designed to automate and streamline processes, helping businesses reach the market more quickly. These solutions, ranging from data governance to self-service APIs, aim to support the rapid launch of innovations.

How does the EverythingAI platform assist organizations in accelerating their digital transformation, particularly in sectors like banking, insurance, and manufacturing?

EverythingAITM is tailored to address the unique challenges and demands of the banking, insurance, and manufacturing industries, providing specialized AI solutions that drive efficiency, accuracy, and innovation. Here is the suite of solutions that EverythingAITM offers:

Banking:

AI significantly enhances banking processes by streamlining tasks like customer onboarding through automated document extraction, which reduces manual effort and speeds up account creation. In mortgage requisition intake, AI optimizes efficiency by automating the analysis of requisition data, leading to faster processing times. Fraud detection has become more robust with advanced AI algorithms that help identify and prevent fraudulent activities, thereby safeguarding assets and reducing risks. In wealth management, AI automates asset identification, improving the accuracy and speed of collateral processing. Additionally, sentiment analysis is leveraged to provide deeper insights for smart lending, enhancing customer satisfaction and reducing the likelihood of loan defaults.

Insurance:

In the insurance sector, AI is transforming operations through solutions like submission intake automation, which streamlines workflows and reduces processing time. AI-driven insights assist underwriters by offering accurate risk assessments and personalized recommendations, improving the efficiency and accuracy of underwriting decisions. Sentiment analysis also plays a crucial role in gauging customer feedback, helping insurers refine their service offerings and build stronger customer relationships. AI enhances the First Notice of Loss (FNOL) process by detecting and assessing damage, leading to faster claims processing. Additionally, it simplifies the management of endorsements and the onboarding of new participants, reducing administrative burdens and improving turnaround times.

Manufacturing:

In manufacturing, AI automates product configuration processes, enabling faster customization and more efficient production planning. The technology facilitates the seamless translation of technical documents and manuals, allowing global operations to communicate more effectively. Additionally, AI-driven quote generation with customization speeds up the sales process, enhancing customer satisfaction by providing tailored quotes more efficiently.

These tailored AI solutions enable the banking, insurance, and manufacturing industries to overcome their specific challenges, drive greater efficiency, improve accuracy, and enhance the overall customer experience.

What are the key benefits of using SLK’s Data Artistry feature for real-time decision-making and operational efficiency?

SLK’s Data Artistry is a powerful tool that enhances data capabilities and streamlines processes to deliver superior actionable insights. Its key features include Automated Data Exploration and Profiling, significantly reducing the time and effort required to analyze and comprehend data. The AI-Powered Model Building feature enables users to rapidly develop predictive and prescriptive models, leading to a 77% acceleration in time to value. Additionally, Interactive Visualizations and Reports simplify the interpretation and sharing of insights, contributing to a 40% reduction in analysis time. The platform’s Zero-Code Workbench-based solution empowers users to create sophisticated analytics solutions without requiring extensive coding knowledge, further boosting productivity by 40%. With these capabilities, the DA platform ensures that organizations can achieve faster, more accurate decision-making and optimize strategies for improved business outcomes.

Can you elaborate on how the Quote AI tool improves quoting processes for businesses?

The platform revolutionizes the quoting process for businesses by utilizing advanced AI technologies to automate what has traditionally been a labor-intensive and error-prone task. This automation begins with Data Extraction, employing OCR and AI to efficiently process customer emails and extract relevant information. Data Sufficiency Validation ensures that all necessary data is accurately captured, minimizing the risk of errors or omissions. The platform then proceeds with Automatic Quote Generation, streamlining the process to deliver rapid and precise quotes, significantly reducing response times.

Additionally, it enhances customer engagement through Follow-Up Automation, ensuring timely interactions that boost customer satisfaction. It also features Email Draft Generation and Automated Email Monitoring, further optimizing communication efficiency.

How does SentiX leverage sentiment analysis to enhance customer experiences, and what are the real-world applications of this technology?

With SentiX, we recognize the crucial role customer feedback plays in shaping business decisions and experiences. In a time where online reviews and real-time interactions impact public perception, understanding this feedback is more important than ever. SentiX, our advanced sentiment analysis tool, turns vast amounts of customer data—whether written reviews or live speech—into actionable insights. It doesn’t just process feedback; it interprets the emotions and attitudes behind it, offering businesses a deeper understanding of customer sentiments.

SentiX analyzes feedback across domains and can be tailored to suit specific business needs. Its real-time analysis allows immediate responses to customer concerns, enhancing satisfaction and loyalty. What truly sets SentiX apart is its ability to track sentiment trends over time, helping businesses identify emerging issues or opportunities proactively. Whether improving customer service or refining products, SentiX enables data-driven decisions.

In specialized applications like financial services, SentiX can incorporate public sentiment into lending decisions, reducing risk and improving loan portfolio quality. By leveraging SentiX, businesses can turn feedback into strategic actions, staying competitive and responsive in a constantly evolving market.

With your background in growing technology businesses, how do you see platforms like EverythingAITM contributing to the future of AI-driven business models?-

EverythingAITM is more than just a platform; it’s a comprehensive suite of solutions, platforms, and accelerators designed to support enterprises in their journey toward becoming AI-driven organizations. This suite offers a holistic approach to integrating AI, addressing various aspects of business transformation. Whether it’s through specialized platforms, advanced AI tools, or accelerators that speed up implementation, EverythingAITM equips businesses with the necessary resources to seamlessly transition to AI-led enterprise.

How does EverythingAITM address the challenges organizations face in AI adoption, and what strategies are key to overcoming those hurdles?

EverythingAITM offers a comprehensive approach to AI adoption, guiding enterprises through each stage—from conceptualizing AI ideas to full deployment and optimization. This structured methodology ensures that AI technologies deliver measurable business outcomes aligned with strategic goals.

One of the biggest challenges in AI adoption is integrating AI with diverse, often legacy, IT systems. EverythingAITM addresses this by offering seamless integration solutions that fit within existing infrastructures, ensuring data governance and privacy without disruption. A key component is the Enterprise Workbench, an industry- and LLM-agnostic tool that eliminates AI “hallucinations” by providing a controlled environment for developing contextual solutions on platforms like Mithril and Dexter.

By overcoming integration complexities and offering a structured, end-to-end solution, EverythingAITM enables organizations to harness AI’s full potential, driving growth and innovation.

In your experience with AI-driven solutions, how does EverythingAI’s full lifecycle support help businesses from strategy development to optimization? Reply:

EverythingAITM’s full lifecycle support is crafted to help organizations overcome AI adoption challenges, ensuring better outcomes in productivity, customer experience, decision-making, and business reimagination. The journey starts with the Envision phase, where organizations receive AI Strategy Advisory, AI Maturity Assessment, and AI Governance frameworks. This stage aligns AI efforts with business objectives and regulatory standards, while tools like GitHub Copilot Consulting and GenAI Literacy Bootcamp prepare teams for AI.

In the Engineer phase, EverythingAITM transforms concepts into scalable solutions, integrating AI into core operations through AI and Data Architecture, GenAI Development, and AI/ML Modeling. Tools like AIWiz and PeakPerform automate tasks and enable faster decision-making.

In the Expand phase, AI initiatives scale through LLMOps, AI COE Setup, and Responsible AI Implementation, embedding AI into the enterprise to drive innovative outcomes.

The Evolve phase focuses on continuous improvement, with Process Reimagination and Sustainable AI practices driving long-term growth and competitive advantage.

Can you explain how SLK’s AI-powered solutions, like TrackShieldAI and PeakPerform, drive efficiency and productivity in manufacturing?

AI-powered solutions like TrackShieldAI and PeakPerform play distinct yet critical roles in driving efficiency and productivity in the manufacturing industry.

TrackShieldAI enhances safety and operational efficiency by utilizing advanced AI for real-time tracking and monitoring of personnel in industrial environments. This solution provides comprehensive insights and automated alerts, enabling companies to ensure workforce safety, optimize workflows, and respond promptly to emergencies. By seamlessly integrating with existing systems, TrackShieldAI reduces the need for manual monitoring, creating a safer and more efficient working environment.

Meanwhile, PeakPerform focuses on optimizing Application and Infrastructure Managed Services using AI and ML technologies. This intelligent platform leverages actionable intelligence from both historical and real-time data to predict machine inefficiencies, auto-optimize operations, and prevent potential issues. By minimizing human intervention and providing real-time alerts, PeakPerform ensures precision in executing transformation programs and maintaining operational efficiency. Its ability to deliver actionable insights and focus on beyond-ticket elimination enhances productivity, enabling businesses to achieve their desired outcomes more effectively.

Both TrackShieldAI and PeakPerform, with their unique capabilities, contribute significantly to improving efficiency and productivity in manufacturing, addressing critical aspects of safety, operational management, and infrastructure optimization.

How does SLK Software ensure responsible AI implementation with EverythingAI, especially in regulated industries like finance and insurance?

SLK ensures responsible AI implementation in regulated industries like finance and insurance through several key practices:

Compliance with Regulations: SLK tailors its AI solutions to meet stringent regulatory requirements, ensuring compliance with data privacy laws (e.g., GDPR, CCPA) and industry regulations (e.g., FINRA, SEC, IRDAI) by embedding necessary safeguards in its platforms.

Explainability & Transparency: The company develops localized and explainable AI systems. In scrutinized decision-making environments, outputs are designed to be transparent, fostering trust and accountability among stakeholders.

Ethical AI Framework: SLK employs an ethical AI framework that incorporates bias detection and mitigation strategies to ensure fair outcomes.

Human Oversight & Governance: SLK integrates a human-in-the-loop (HITL) approach in critical applications, allowing experts to review AI-generated insights to align with industry standards and ethical practices.

Risk Management & Monitoring: Continuous monitoring and risk management processes are established to detect anomalies in AI models. Regular audits and updates ensure AI solutions remain robust and compliant with the evolving regulatory landscape.

Customer Data Protection: Prioritizing data security, SLK uses advanced encryption methods and secure protocols to safeguard sensitive customer information, essential in finance and insurance.

Through these practices, SLK ensures that its AI solutions are innovative, responsible, and compliant in highly regulated environments.

Thank you for the great interview, readers who wish to learn more should visit SLK Software.

[sanjanabia]

Why Financial Analytics is Now Essential for Investment Banking Professionals

In the fast-evolving world of finance, investment banking is becoming increasingly complex. As the industry shifts towards data-driven decision-making, financial analytics has emerged as a crucial tool for professionals in this field. Understanding financial analytics is no longer optional; it’s essential for anyone looking to succeed in investment banking. In this blog, we’ll explore why financial analytics is vital for investment banking professionals and how pursuing banking courses after 12th can set you on the right path.

The Growing Importance of Financial Analytics

Financial analytics involves the use of statistical analysis and quantitative methods to assess and interpret financial data. This field is transforming how investment banks operate and make decisions. Here are some key reasons why financial analytics is essential:

Data-Driven Decision Making: The availability of vast amounts of data has changed the landscape of investment banking. Professionals who can analyze and interpret this data effectively will make better-informed decisions that can significantly impact profitability.

Risk Management: Investment banking inherently involves risks, from market fluctuations to credit risk. Financial analytics allows professionals to assess these risks more accurately, enabling them to implement strategies that mitigate potential losses.

Performance Measurement: Financial analytics provides insights into the performance of investments and portfolios. By monitoring key performance indicators (KPIs), professionals can identify trends and adjust strategies accordingly.

Market Forecasting: Advanced analytics techniques help investment banks anticipate market trends and economic shifts. Professionals equipped with these skills can better position their firms to capitalize on opportunities.

The Role of Financial Analysts in Investment Banking

Financial analysts play a crucial role in the application of financial analytics within investment banks. Their responsibilities include:

Data Analysis: Analysts are responsible for collecting and analyzing financial data. They use statistical methods to identify patterns and trends that can inform investment strategies.

Reporting: Financial analysts prepare reports that summarize their findings. These reports are essential for guiding senior management’s decision-making processes.

Modeling: Creating financial models is a key aspect of an analyst’s role. These models help predict future performance based on historical data, allowing banks to make informed investment decisions.

Client Interaction: Financial analysts often interact with clients to understand their needs and goals. By leveraging financial analytics, they can offer tailored investment solutions that align with client objectives.

How Banking Courses After 12th Can Help

For students considering a career in investment banking, enrolling in banking courses after 12th can provide a solid foundation in financial analytics and related subjects:

Comprehensive Curriculum: Many banking courses after 12th cover essential topics such as financial analysis, investment strategies, and risk management. This knowledge is crucial for understanding the principles of financial analytics.

Hands-On Experience: Many courses offer practical training with real-world financial datasets. This hands-on experience allows students to apply theoretical concepts and develop critical analytical skills.

Career Opportunities: Completing banking courses after 12th can open doors to various roles in investment banking, including financial analyst, investment manager, and risk analyst. These positions often require strong analytical skills and a solid understanding of financial concepts.

Networking Potential: Enrolling in banking courses after 12th provides opportunities to connect with industry professionals and peers. Networking is invaluable in the finance industry, and building a strong network can lead to job opportunities and mentorship.

The Future of Financial Analytics in Investment Banking

As technology continues to evolve, the role of financial analytics in investment banking will become even more significant:

Automation and AI: The integration of artificial intelligence (AI) and automation into financial analytics will streamline processes, allowing professionals to focus on strategic decision-making rather than manual data analysis.

Interdisciplinary Skills: The future of financial analytics will require professionals to possess interdisciplinary skills, combining finance with data science and technology. This diverse skill set will be essential for navigating complex financial landscapes.

Ethical Considerations: With the increasing use of data comes the responsibility of managing it ethically. Professionals will need to understand the implications of data privacy and security to maintain client trust.

Conclusion

In today’s investment banking landscape, financial analytics is not just an advantage; it’s a necessity. Professionals who can leverage data effectively will be better positioned to make informed decisions, manage risks, and drive profitability. For students looking to enter this dynamic field, pursuing banking courses after 12th can provide the essential skills and knowledge needed to succeed.

For those interested in enhancing their understanding of financial analytics and investment banking, consider enrolling in a program at the Boston Institute of Analytics. With expert-led training and practical experience, BIA can help you unlock new career opportunities in finance. Start your journey today!

[arunseodelhi]

Can I do MBA after BA?

For many students, achieving their Bachelor of Arts (BA) degree is a significant achievement in their educational experience which subsequently leads to the questioning of the choice of a career path to follow. A common question that arises is: Now, to the more pertinent question: “Can I do an MBA after BA?” Yes, you most definitely can. However, getting an MBA after BA can create many opportunities, as long as it smooths the transition from the humanities to business. This blog will highlight the prospects and steps for MBA admission, the benefits of MBA after BA, and deciding on appropriate MBA colleges.

Why Take An MBA After BA?

It is possible for the candidate to embark on an MBA after BA, since it could be a strategic move. Thus, the skills and knowledge acquired during the BA allow enriching the business-oriented knowledge obtained during the MBA. A Bachelor’s degree is good for developing the mind, for creating innovative solutions and for effective communication whereas an MBA builds upon these things by providing the fundamental knowledge of management, finances and strategies. This combination can place you in good stead in the job market since most employers are looking for multi-skilled candidates.

Also Read

PGDM in banking and finance Mumbai

PGDM in Business Analytics Colleges in Mumbai

Understanding MBA Admission Requirements

To get the most out of an MBA after BA, it’s important to address the section of MBA admission requirements. In fact, most MBA programs do not even require a specific type of undergraduate degree, so a BA is no less acceptable than a B. Com or a B. Sc. The basic requirements for MBA admission include a first degree from a recognized university, satisfactory academic performance, and sometimes prior job experience. However, it is also available to fresh graduates based on the program offered by the company.

Common prerequisites for MBA include the completion of the application form, essay writing, and submission of standard test scores such as the GMAT or GRE. It involves analytical writing, quantitative reasoning, and word usage; these tests serve as a reference point for gauging applicants. Moreover, a well-written personal essay, recommenders’ letters, and a CV emphasizing leadership and relevant activities are also very helpful when applying for an MBA degree.

Navigating the MBA Admission Process

The MBA admission process can be somewhat challenging, but with some strategy and some work, it is possible to get through them. Here's a step-by-step guide to help you navigate this journey:

Research MBA Programs: First, look for different MBA programs and MBA colleges that offer the program you are interested in to achieve your dream career. These include the option’s learning curriculum, instructors, job placement rates, as well as campus environment.

Prepare for Entrance Exams: Self, finally, there are standardized tests are always required for MBA admission like GMAT or GRE and so on. Spend sufficient time and ensure that you use preparatory classes and reading material to do these tests effectively.

Build a Strong Profile: Enhance your MBA application and stand out from the crowd by participating in activities that reflect leadership, teamwork, and problem-solving. Paid internships, volunteering activities, and engagement in college clubs all hold a lot of value.

Craft a Compelling Personal Statement: It is your time to let people know who you are, what you want and what you can offer. Focus on why you want to do an MBA after BA, the opportunities and the position you want to have in the future and how the MBA program will assist you in attaining your dream.

Gather Recommendations: Make sure your recommenders are your professors or employers who will be able to confirm that you will succeed in an MBA program.

Apply Early: A large number of MBA colleges themselves offer more than one admission cycle. Timing is key when participating in these dances and applying early means you improve your chances of get a chance and you may also get a scholarship.

Picking up the Right MBA Colleges

In this world of cut-throat competition, deciding about the right MBA colleges is a critical decision.

Choosing of MBA colleges is one of the most important activities in the program. Thus, depending on the vast variety of available choices, one can enhance their educational process and create a successful career path. Here are some tips to consider:

Accreditation: Check the accreditation of the MBA colleges you are considering from recognized organizations. Accreditation ensures that the given institution provides education to the required quality levels which can add value to the degree.

Specializations: The MBA is offered by various colleges and universities and it has different specialization areas. Select a program of your choice in relation to your intended line of business- whether finance, marketing, Human resource, or entrepreneurship.

Alumni Network: Alumni can be rich source of networking for challenging positions or for mentoring which is a very important factor. It is recommended to find out the effectiveness of the alumni network of the MBA colleges you’re about to join.

Location: Some of the MBA colleges may be located in remote areas, and this can influence your learning process. The choice should also be based on factors such as closeness of business districts, affordability of living standards, and compatibility.

Internships and Placements: Analyze the internships and placements offered by MBA colleges. A strong placement cell can help you pave your way into the corporate world after the completion of the course.

Benefit of Enrolling for an MBA after BA

Pursuing an MBA after BA can offer numerous advantages:

Enhanced Career Opportunities: MBA can lead you to several sectors and such positions as a manager, consultant, analyst, and marketer. It offers the skills and accreditation important in career progression up the managerial ranks.

Higher Earning Potential: Certainly, MBA graduates have been observed to earn higher wages than their counterparts who have not pursued an MBA degree. The cost of pursuing an MBA is therefore justified by the fact that it leads to high return on investment in the long run.

Networking Opportunities: MBA programs offer a rich networking experience since the participants interface with classmates, instructors, and mainly professionals. These contacts can be very useful at any given time in your working life.

Skill Diversification: So, coupling the toolset of an MBA, that is analytical and managerial study, with the creativity and communication aspects from a BA can open a range of opportunities for anyone.

Summing up

Thus, responding to the question, “Can I do an MBA after BA? The answer is yes, one can do MBA after completing the BA. It is highly possible to do MBA after BA and is perhaps a very beneficial option because it gives one a set of skills that may be of great benefit to him or her. Learning the basics of MBA admission, identifying appropriate MBA colleges, and mapping out your career plan will help make this experience both fruitful and enjoyable. Therefore, if you are considering pursuing MBA after BA, you should go for IT and open a universe of opportunities that are ahead of you.

[roysexton]

9Sail’s “Tip of the Law” podcast – “Harnessing Strategic Focus in Legal Marketing” with host Joe Giovannoli and guest yours truly … #lma24 #lmamkt

Thank you, 9Sail and Joe Giovannoli! Appreciate all you do for our profession and our community … Join us on the latest episode of the Tip of the Law podcast, where host Joe Giovannoli sits down with Roy Sexton, Director of Marketing at Clark Hill and past president of the Legal Marketing Association – LMA International board. Discover how Roy’s unique journey from English major, theater…

[brillioitservices]

The Generative AI Revolution: Transforming Industries with Brillio

The realm of artificial intelligence is experiencing a paradigm shift with the emergence of generative AI. Unlike traditional AI models focused on analyzing existing data, generative AI takes a leap forward by creating entirely new content. The generative ai technology unlocks a future brimming with possibilities across diverse industries. Let's read about the transformative power of generative AI in various sectors: 

1. Healthcare Industry: 

AI for Network Optimization: Generative AI can optimize healthcare networks by predicting patient flow, resource allocation, etc. This translates to streamlined operations, improved efficiency, and potentially reduced wait times. 

Generative AI for Life Sciences & Pharma: Imagine accelerating drug discovery by generating new molecule structures with desired properties. Generative AI can analyze vast datasets to identify potential drug candidates, saving valuable time and resources in the pharmaceutical research and development process. 

Patient Experience Redefined: Generative AI can personalize patient communication and education. Imagine chatbots that provide tailored guidance based on a patient's medical history or generate realistic simulations for medical training. 

Future of AI in Healthcare: Generative AI has the potential to revolutionize disease diagnosis and treatment plans by creating synthetic patient data for anonymized medical research and personalized drug development based on individual genetic profiles. 

2. Retail Industry: 

Advanced Analytics with Generative AI: Retailers can leverage generative AI to analyze customer behavior and predict future trends. This allows for targeted marketing campaigns, optimized product placement based on customer preferences, and even the generation of personalized product recommendations. 

AI Retail Merchandising: Imagine creating a virtual storefront that dynamically adjusts based on customer demographics and real-time buying patterns. Generative AI can optimize product assortments, recommend complementary items, and predict optimal pricing strategies. 

Demystifying Customer Experience: Generative AI can analyze customer feedback and social media data to identify emerging trends and potential areas of improvement in the customer journey. This empowers retailers to take proactive steps to enhance customer satisfaction and loyalty. 

3. Finance Industry: 

Generative AI in Banking: Generative AI can streamline loan application processes by automatically generating personalized loan offers and risk assessments. This reduces processing time and improves customer service efficiency. 

4. Technology Industry: 

Generative AI for Software Testing: Imagine automating the creation of large-scale test datasets for various software functionalities. Generative AI can expedite the testing process, identify potential vulnerabilities more effectively, and contribute to faster software releases. 

Generative AI for Hi-Tech: This technology can accelerate innovation in various high-tech fields by creating novel designs for microchips, materials, or even generating code snippets to enhance existing software functionalities. 

Generative AI for Telecom: Generative AI can optimize network performance by predicting potential obstruction and generating data patterns to simulate network traffic scenarios. This allows telecom companies to proactively maintain and improve network efficiency. 

5. Generative AI Beyond Industries: 

GenAI Powered Search Engine: Imagine a search engine that understands context and intent, generating relevant and personalized results tailored to your specific needs. This eliminates the need to sift through mountains of irrelevant information, enhancing the overall search experience. 

Product Engineering with Generative AI: Design teams can leverage generative AI to create new product prototypes, explore innovative design possibilities, and accelerate the product development cycle. 

Machine Learning with Generative AI: Generative AI can be used to create synthetic training data for machine learning models, leading to improved accuracy and enhanced efficiency. 

Global Data Studio with Generative AI: Imagine generating realistic and anonymized datasets for data analysis purposes. This empowers researchers, businesses, and organizations to unlock insights from data while preserving privacy. 

6. Learning & Development with Generative AI: 

L&D Shares with Generative AI: This technology can create realistic simulations and personalized training modules tailored to individual learning styles and skill gaps. Generative AI can personalize the learning experience, fostering deeper engagement and knowledge retention. 

HFS Generative AI: Generative AI can be used to personalize learning experiences for employees in the human resources and financial services sector. This technology can create tailored training programs for onboarding, compliance training, and skill development. 

7. Generative AI for AIOps: 

AIOps (Artificial Intelligence for IT Operations) utilizes AI to automate and optimize IT infrastructure management. Generative AI can further enhance this process by predicting potential IT issues before they occur, generating synthetic data for simulating scenarios, and optimizing remediation strategies. 

Conclusion: 

The potential of generative AI is vast, with its applications continuously expanding across industries. As research and development progress, we can expect even more groundbreaking advancements that will reshape the way we live, work, and interact with technology. 

Reference- https://articlescad.com/the-generative-ai-revolution-transforming-industries-with-brillio-231268.html 

[johnmathewblog]

The Evolving Role of AI in Tech in 2024

In summary, the year 2024 marks a pivotal moment in the evolution of AI within the tech industry. From transforming business operations to influencing user experiences and addressing societal challenges, AI has become an indispensable force shaping the present and future of technology. The emphasis on ethical practices and collaborative efforts between humans and AI underlines a responsible and sustainable approach to the integration of artificial intelligence in our increasingly digital world.

[dadjglobal1]

Business consultants play a crucial role in helping investment banks transition smoothly through this transformative journey. Their strategic guidance, innovation identification, and implementation of digital solutions have become key to driving digital change.

Strategic Guidance: When investment banks consider overhauling their business models, consultants provide valuable inputs. They help banks evaluate emerging technologies like AI, Blockchain, and Big Data and guide them on which tech stack will best suit their specific needs.

Innovation Identification: Consultants identify opportunities for innovation that banks can leverage. They study new technology trends, analyze the competitive landscape, and perform customer analysis to suggest where digital innovation can be beneficial.

Digital Solution Implementation: After strategizing, consultants assist banks with the implementation of the selected digital solutions. They ensure seamless integration of new technologies with existing systems, minimizing disruption to ongoing operations.

[foxgirlpauldrons]

one of the only times i look at my twitch analytics and i cant believe i have been spiders georg'd by follow bots

Sun Mar 03 2024

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Assaf Baciu, Co-Founder & President of Persado – Interview Series

New Post has been published on https://thedigitalinsider.com/assaf-baciu-co-founder-president-of-persado-interview-series/

Assaf Baciu, Co-Founder & President of Persado – Interview Series

Assaf Baciu has nearly two decades of experience shaping enterprise strategy and product direction for market-leading SaaS organizations. As co-founder and President of Persado, he drives the progression and advancements of Persado’s growing product portfolio and oversees the company’s customer onboarding, campaign delivery management, Center of Enablement programs, and technical services.

Persado offers a Motivation AI platform designed to enable personalized communications at scale, encouraging individuals to engage and take action. Several of the world’s largest brands, such as Ally Bank, Dropbox, JPMorgan Chase, Marks & Spencer, and Verizon, use Persado’s platform to create highly personalized communications. According to the company, the top 30 Persado customers have collectively generated over $4.25 billion in additional revenue through the use of the platform.

Can you share the story behind the founding of Persado and how your previous experiences influenced its creation?

My co-founder, Alex Vratskides, and I founded Persado 12 years ago. We were at Upstream, and became fascinated with how text message response rates changed with even minor tweaks in the language. Given that the number of characters is limited for SMS, we started thinking about text messages as a mathematical problem that has some finite number of alternative messages, and with the right algorithm we could find the optimal ones. We evaluated some approaches and saw that there is a way…and the rest is history.

Persado’s Motivation AI Platform is highlighted for its ability to personalize marketing content. Can you explain how the platform uses generative AI to understand and leverage customer motivation?

GenAI, on its own, via a foundation model, cannot motivate systematically. It’s a component with a stack of data, machine learning, and a response feedback loop.

Persado has been generating and optimizing language using various approaches for over 10 years. We’ve accumulated a unique dataset from one million A/B tests from messages, across industries, designed to connect with consumers and motivate action at any stage. We leverage this data to finetune a foundation model with Supervised Fine Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF). We’ve also adapted a second transformer model to be able to predict message performance based on language parameters. On top of that, our machine learning (ML) algorithms understand—in real time—which language elements resonate with a given individual, then adjust the copy within the communication to that person or segment.

By continuously learning the most effective combination of message elements for each consumer, and dynamically creating the most engaging content, Persado-generated content is able to outperform human and other AI-generated copy 96% of the time.

How does Persado’s Motivation AI Platform differentiate itself from other generative AI tools in terms of driving business results?

Persado is unique on many fronts.

Purpose-Built – Persado has the only models specifically trained and curated with 10 billion tokens of marketing enterprise communication, coupled with behavioral data.

Emotionally Intelligent – Our AI is designed to understand and generate language that elicits specific emotional responses from target audiences. This capability is grounded in advanced ML models trained on extensive linguistic and psychological data.

Precision – Our platform leverages the most powerful model architectures and is trained with statistically valid customer behavior data. We have executed the equivalent of more than 1M A/B tests, which enables us to generate the specific words, phrases, emotions, and stories that drive incremental impact 96% of time.

Knowledge Graph – Persado developed a representation of key concepts expressed via language and their relationship with the market vertical, type of communications, customer lifecycle journey, and channels. We use advanced NLP techniques to classify, identify, and make use of these concepts (emotions, narratives, structure of message, voice, and more) to generate and personalize better performing messages.

Predictive – We use predictive analytics to forecast the performance of different messages, empowering marketers to create content with a high probability of success. This predictive power is unique and offers customers a great competitive edge.

What are some of the key capabilities that Persado’s AI platform offers to ensure a seamless integration with existing marketing technologies?

Our platform securely integrates with a brand’s existing tech stack to simplify marketing content generation so brands can easily generate the highest-performing digital marketing messaging they need to boost results. We combine custom, non-PII user attributes, and Persado’s award-winning language generation models to more effectively communicate with every customer across channels, at any stage of their journey.

Motivation AI is compatible with over 40 martech solutions to ensure each brand can use their existing martech stack to generate the most relevant, personalized outputs for their customers.

Content Delivery Platforms – Our processes and tech enablers are designed to streamline the configuration of Persado-generated content in your deployment platform

Customer Data Platforms – The platform facilitates a regular update of non-PII data with Persado as an input for relevant and personalized content generation

Analytics Platforms – We provide processes and data flows to seamlessly integrate results and reporting back into the Persado platform, supporting continuous learning and enhancing machine learning capabilities

Can you describe the process of onboarding a new client and how Persado’s AI helps in their campaign management and delivery?

Prior to formal onboarding, Persado ingests all relevant brand voice materials from its clients, such as style guidelines, information on segments, language restrictions, and more. This trains our model on how to write for a business’s particular brand on day one. We hit the ground running with a partnership kickoff to define KPIs and campaign focus areas as well as to educate users on Persado Portal, our centralized platform where all content is generated, approved, and deployed. In addition to hosting weekly check-ins during onboarding, we close out onboarding with an executive business review summarizing performance thus far and next steps.

Our teams help brands get the tone or brand voice correct across channels by grounding all of their outputs in emotion—a key element of language that motivates customers to engage. By leaning into the emotions and narratives most likely to resonate with each customer, brands can create more effective, revenue-driving campaigns while staying true to the brand’s values.

Scalability is one of the biggest ways we’re able to help businesses with their campaigns. Personalization is a key tactic for marketers to reach key audiences and attract new customers. However, true personalization is challenging to achieve at scale. Using Persado’s knowledge base of 1.5 billion real customer interactions, we help enterprises uncover which versions of a message resonate best with their customers, so they can personalize these messages in real-time at each stage of the customer journey.

You’ve worked with top banks and card issuers, driving significant revenue increases. Could you provide specific examples of how Persado’s AI has enhanced marketing performance for these clients?

Yes, while we work with many industries, we have deep experience working with 8 of the 10 largest U.S. banks and 6 of the 7 top credit card issuers. Here are a few examples of impact:

Chase has used Persado to generate and optimize marketing messages for consumers in its Card and Mortgage businesses. They have been using Persado since 2019 to write personalized market copy by analyzing massive datasets of tagged words and phrases. In pilot tests run by Chase, Persado AI-generated ad copy delivered click-through rates up to 450% higher than copy created by humans alone.

Ally Bank uses Persado to enhance cross-sell opportunities. Our Motivation AI platform has helped Ally understand which marketing communications resonate well with their customers across key channels like email and web. By knowing the do’s and don’ts related to targeted conversations with customers, the product marketing and CRM team are able to deliver a better CX and unlock double-digit improvement on KPIs like clicks and actual conversions.

How does Persado’s AI ensure that generated messages remain on-brand and comply with industry regulations, particularly for highly regulated sectors like finance?

As you noted, because sectors like financial services are highly regulated, it can be challenging to implement AI across business functions. In financial services and beyond, brand and legal compliance are a major piece of the AI puzzle. Although compliance and establishing AI governance can seem daunting, whether you’re part of a large enterprise or small business, it shouldn’t be a reason to not implement AI, or at least test it out.

To ensure copy is aligned with best practices and regulations, we ingest compliance and brand guidelines into Persado’s model. Our built-in tools allow for easy compliance and brand review, feedback, and approval before deployment.

We adjust our approach to help financial services brands remain compliant. While we can’t target specific demographics, such as age, for personalized marketing in financial services, we create high-performing narratives or emotional tones that resonate overall. From there, we observe which messages resonate with a bank or card issuer’s different segments.

What are some common challenges businesses face when trying to prove the value of AI, and how does Persado address these challenges?

There is a “opportunity lost” cost of enterprise inaction. A few changes in word choice can mean the difference between a completed transaction, application or enrollment and money being left on the table.

Persado’s impact is easily measured. We integrate with analytics systems and continuously evaluate success via automated A/B tests that show the performance of our more engaging, personalized content, vs what the brand initially created. And, we measure the difference via the conversion funnel. On average, Persado increases content performance 43%, compared to humans alone or another AI solution.

Our purpose-built AI is not only impactful, but easy to measure, which empowers business leaders to make better decisions about the technology investment—and quickly prove its value.

Given the rapid advancements in generative AI, what steps is Persado taking to stay ahead of the curve and maintain its industry leadership?

We’ve been leaders in AI for over a decade; long before it became popular following the launch of ChatGPT. As GenAI curiosity has increased across industries, we’ve been excited to bring and expand our marketing-specific capabilities among large enterprises needing a proven solution for creating high-performing, compliant messages at scale. We do this across channels as well: email, websites, social media, SMS/push notifications, and even IVR.

Our global product and customer success teams are continually listening to our customers—who are among some of the earliest, and most successful adopters of AI–and shaping our roadmap to help them deliver a stellar digital customer experience that also drives increased sales, loan application completions, on-time, payments, or other actions.

For example, we recently released new pre-built audience segments to speed personalized content generation for marketers across financial services, retail, and travel. This feature helps brands increase engagement with specific groups of customers by making it even easier and faster to generate marketing content that will resonate with customers.

What is your vision for the future of marketing and AI?

The possibilities for AI in marketing are only expanding. AI can serve as a helpful asset for marketers to enhance experiences and reach audiences in new, more personalized ways. I think we’ll see marketers shift from expecting (and using) GenAI to improve efficiency and productivity, to also ensuring AI tools deliver measurable increased performance.

Establishing AI governance and standards will also become more important as companies expand AI use cases with an eye on responsible AI. If they’re not careful, brands can risk not being compliant with regulations.

Companies will need to be vigilant and use guardrails to ensure models can be tested to ensure they are free of biases, and that content outputs are accurate, relevant, and on-brand. Applied properly, AI has the potential to turbo-boost marketing performance and customer experiences, which generates the most valuable benefit for businesses: increased revenue.

Thank you for the great interview, readers who wish to learn more should visit Persado.