#Machine learning consulting firms

[gouravsapra]

Machine learning companies are revolutionizing sectors by improving disease detection, enhancing fraud prevention, personalizing retail experiences, advancing autonomous vehicles, and optimizing manufacturing processes.

[insignia2023]

Mastering Machine Learning | Insignia Consultancy

Delve into the world of machine learning with our comprehensive guide, designed to demystify complex concepts and empower you to apply cutting-edge techniques.

[august-infotech]

Top AI/ML Services Companies in India in 2023

Artificial Intelligence and machine learning have brought a significant transformation in the way businesses function. It has the capability to teach machines to learn from data and analyze patterns to make decisions without human intervention. Machine learning has emerged as a disruptive technology in several industries, offering immense possibilities and potential.

If you plan to integrate ML into your business, partnering with a reliable ML company is crucial to help you achieve your goals. Are you finding the top AI/ML services companies in India for 2023? This comprehensive list contains the best companies providing leading-edge solutions for businesses. Visit: https://bit.ly/3FJRSyd

[mariacallous]

This story is part of a joint investigation between Lighthouse Reports and WIRED. To read other stories from the series, click here.

Mitch Daniels is a numbers guy, a cost-cutter. In the early 2000s, he tried and failed to rein in congressional spending under then-US president George W. Bush. So when he took office as Indiana governor in 2005, Daniels was ready to argue once again for fiscal discipline. He wanted to straighten out Indiana’s state government, which he deemed rife with dysfunction. And he started with its welfare system. “That department had been rocked by a series of criminal indictments, with cheats and caseworkers colluding to steal money meant for poor people,” he later said.

Daniels’ solution took the form of a $1.3 billion, 10-year contract with IBM. He had lofty ambitions for the project, which started in 2006, claiming it would improve the benefits service for Indiana residents while cracking down on fraud, ultimately saving taxpayers billions of dollars.

But the contract was a disaster. It was canceled after three years, and IBM and Indiana spent a decade locked in a legal battle about who was to blame. Daniels described IBM’s sweeping redesign and automation of the system—responsible for deciding who was eligible for everything from food stamps to medical cover—as deficient. He was adamant, though, that outsourcing a technical project to a company with expertise was the right call. “It was over-designed,” he said. “Great on paper but too complicated to work in practice.” IBM declined a request for comment. 

In July 2012, Judge David Dryer of the Marion County Superior Court ruled that Indiana had failed to prove IBM had breached its contract. But he also delivered a damning verdict on the system itself, describing it as an untested experiment that replaced caseworkers with computers and phone calls. “Neither party deserves to win this case,” he said. “This story represents a ‘perfect storm’ of misguided government policy and overzealous corporate ambition.” 

That might have been an early death knell for the burgeoning business of welfare state automation. Instead, the industry exploded. Today, such fraud systems form a significant part of the nebulous “govtech” industry, which revolves around companies selling governments new technologies with the promise that new IT will make public administration easier-to-use and more efficient. In 2021, that market was estimated to be worth €116 billion ($120 billion) in Europe and $440 billion globally. And it’s not only companies that expect to profit from this wave of tech. Governments also believe modernizing IT systems can deliver big savings. Back in 2014, the consultancy firm McKinsey estimated that if government digitization reached its “full potential,” it could free up $1 trillion every year. 

Contractors around the world are selling governments on the promise that fraud-hunting algorithms can help them recoup public funds. But researchers who track the spread of these systems argue that these companies are often overpaid and under-supervised. The key issue, researchers say, is accountability. When complex machine learning models or simpler algorithms are developed by the private sector, the computer code that gets to define who is and isn’t accused of fraud is often classed as intellectual property. As a result, the way such systems make decisions is opaque and shielded from interrogation. And even when these algorithmic black holes are embroiled in high-stakes legal battles over alleged bias, the people demanding answers struggle to get them. 

In the UK, a community group called the Greater Manchester Coalition of Disabled People is trying to determine whether a pattern of disabled people being investigated for fraud is linked to government automation projects. In France, the digital rights group La Quadrature du Net has been trying for four months to find out whether a fraud system is discriminating against people born in other countries. And in Serbia, lawyers want to understand why the introduction of a new system has resulted in hundreds of Roma families losing their benefits. “The models are always secret,” says Victoria Adelmant, director of New York University’s digital welfare state project. “If you don’t have transparency, it’s very difficult to even challenge and assess these systems.” 

The rollout of automated bureaucracy has happened quickly and quietly, but it has left a trail of scandals in its wake. In Michigan, a computer system used between 2013 and 2015 falsely accused 34,000 people of welfare fraud. A similar thing happened in Australia between 2015 and 2019, but on a larger scale: The government accused 400,000 people of welfare fraud or error after its social security department started using a so-called robodebt algorithm to automatically issue fines.

Another scandal emerged in the Netherlands in 2019 when tens of thousands of families—many of them from the country’s Ghanaian community—were falsely accused of defrauding the child benefits system. These systems didn’t just contribute to agencies accusing innocent people of welfare fraud; benefits recipients were ordered to repay the money they had supposedly stolen. As a result, many of the accused were left with spiraling debt, destroyed credit ratings, and even bankruptcy. 

Not all government fraud systems linked to scandals were developed with consultancies or technology companies. But civil servants are increasingly turning to the private sector to plug knowledge and personnel gaps. Companies involved in fraud detection systems range from giant consultancies—Accenture, Cap Gemini, PWC—to small tech firms like Totta Data Lab in the Netherlands and Saga in Serbia.

Experts in automation and AI are expensive to hire and less likely to be wooed by public sector salaries. When the UK surveyed its civil servants last year, confidence in the government’s ability to use technology was low, with around half of respondents blaming an inability to hire top talent. More than a third said they had few or no skills in artificial intelligence, machine learning, or automation. But it’s not just industry experience that makes the private sector so alluring to government officials. For welfare departments squeezed by budget cuts, “efficiency” has become a familiar buzzword. “Quite often, a public sector entity will say it is more efficient for us to go and bring in a group of consultants,” says Dan Sheils, head of European public service at Accenture.

The public sector lacks the expertise to create these systems and also to oversee them, says Matthias Spielkamp, cofounder of German nonprofit Algorithm Watch, which has been tracking automated decision-making in social welfare programs across Europe since 2017. In an ideal world, civil servants would be able to develop these systems themselves and have an in-depth understanding of how they work, he says. “That would be a huge difference to working with private companies, because they will sell you black-box systems—black boxes to everyone, including the public sector.” 

In February 2020, a crisis broke out in the Dutch region of Walcheren as officials realized they were in the dark about how their own fraud detection system worked. At the time, a Dutch court had halted the use of another algorithm used to detect welfare fraud, known as SyRI, after finding it violated people’s right to privacy. Officials in Walcheren were not using SyRI, but in emails obtained by Lighthouse Reports and WIRED through freedom-of-information requests, government employees had raised concerns that their algorithm bore striking similarities to the one just condemned by the court.

Walcheren’s system was developed by Totta Data Lab. After signing a contract in March 2017, the Dutch startup developed an algorithm to sort through pseudonymous information, according to details obtained through a freedom-of-information request. The system analyzed details of local people claiming welfare benefits and then sent human investigators a list of those it classified as most likely to be fraudsters. 

The redacted emails show local officials agonizing over whether their algorithm would be dragged into the SyRI scandal. “I don’t think it is possible to explain why our algorithm should be allowed while everyone is reading about SyRI,” one official wrote the week after the court ruling. Another wrote back with similar concerns. “We also do not get insight from Totta Data Lab into what exactly the algorithm does, and we do not have the expertise to check this.” Neither Totta nor officials in Walcheren replied to requests for comment. 

When the Netherlands’ Organization for Applied Scientific Research, an independent research institute, later carried out an audit of a Totta algorithm used in South Holland, the auditors struggled to understand it. “The results of the algorithm do not appear to be reproducible,” their 2021 report reads, referring to attempts to re-create the algorithm’s risk scores. “The risks indicated by the AI algorithm are largely randomly determined,” the researchers found. 

With little transparency, it often takes years—and thousands of victims—to expose technical shortcomings. But a case in Serbia provides a notable exception. In March 2022, a new law came into force which gave the government the green light to use data processing to assess individuals’ financial status and automate parts of its social protection programs. The new socijalna karta, or social card system, would help the government detect fraud while making sure welfare payments were reaching society’s most marginalized, claimed Zoran Đorđević, Serbia’s minister of social affairs in 2020. 

But within months of the system’s introduction, lawyers in the capital Belgrade had started documenting how it was discriminating against the country’s Roma community, an already disenfranchised ethnic minority group. 

Mr. ​​Ahmetović, a welfare recipient who declined to share his first name out of concern that his statement could affect his ability to claim benefits in the future, says he hadn’t heard of the social card system until November 2022, when his wife and four children were turned away from a soup kitchen on the outskirts of the Serbian capital. It wasn’t unusual for the Roma family to be there, as their welfare payments entitled them to a daily meal provided by the government. But on that day, a social worker told them their welfare status had changed and that they would no longer be getting a daily meal.

The family was in shock, and Ahmetović rushed to the nearest welfare office to find out what had happened. He says he was told the new social card system had flagged him after detecting income amounting to 110,000 Serbian dinars ($1,000) in his bank account, which meant he was no longer eligible for a large chunk of the welfare he had been receiving. Ahmetović was confused. He didn’t know anything about this payment. He didn’t even have his own bank account—his wife received the family’s welfare payments into hers. 

With no warning, their welfare payments were slashed by 30 percent, from around 70,000 dinars ($630) per month to 40,000 dinars ($360). The family had been claiming a range of benefits since 2012, including financial social assistance, as their son’s epilepsy and unilateral paralysis means neither parent is able to work. The drop in support meant the Ahmetovićs had to cut back on groceries and couldn’t afford to pay all their bills. Their debt ballooned to over 1 million dinars ($9,000). 

The algorithm’s impact on Serbia’s Roma community has been dramatic. ​​Ahmetović says his sister has also had her welfare payments cut since the system was introduced, as have several of his neighbors. “Almost all people living in Roma settlements in some municipalities lost their benefits,” says Danilo Ćurčić, program coordinator of A11, a Serbian nonprofit that provides legal aid. A11 is trying to help the Ahmetovićs and more than 100 other Roma families reclaim their benefits.

But first, Ćurčić needs to know how the system works. So far, the government has denied his requests to share the source code on intellectual property grounds, claiming it would violate the contract they signed with the company who actually built the system, he says. According to Ćurčić and a government contract, a Serbian company called Saga, which specializes in automation, was involved in building the social card system. Neither Saga nor Serbia’s Ministry of Social Affairs responded to WIRED’s requests for comment.

As the govtech sector has grown, so has the number of companies selling systems to detect fraud. And not all of them are local startups like Saga. Accenture—Ireland’s biggest public company, which employs more than half a million people worldwide—has worked on fraud systems across Europe. In 2017, Accenture helped the Dutch city of Rotterdam develop a system that calculates risk scores for every welfare recipient. A company document describing the original project, obtained by Lighthouse Reports and WIRED, references an Accenture-built machine learning system that combed through data on thousands of people to judge how likely each of them was to commit welfare fraud. “The city could then sort welfare recipients in order of risk of illegitimacy, so that highest risk individuals can be investigated first,” the document says. 

Officials in Rotterdam have said Accenture’s system was used until 2018, when a team at Rotterdam’s Research and Business Intelligence Department took over the algorithm’s development. When Lighthouse Reports and WIRED analyzed a 2021 version of Rotterdam’s fraud algorithm, it became clear that the system discriminates on the basis of race and gender. And around 70 percent of the variables in the 2021 system—information categories such as gender, spoken language, and mental health history that the algorithm used to calculate how likely a person was to commit welfare fraud—appeared to be the same as those in Accenture’s version.

When asked about the similarities, Accenture spokesperson Chinedu Udezue said the company’s “start-up model” was transferred to the city in 2018 when the contract ended. Rotterdam stopped using the algorithm in 2021, after auditors found that the data it used risked creating biased results.

Consultancies generally implement predictive analytics models and then leave after six or eight months, says Sheils, Accenture’s European head of public service. He says his team helps governments avoid what he describes as the industry’s curse: “false positives,” Sheils’ term for life-ruining occurrences of an algorithm incorrectly flagging an innocent person for investigation. “That may seem like a very clinical way of looking at it, but technically speaking, that's all they are.” Sheils claims that Accenture mitigates this by encouraging clients to use AI or machine learning to improve, rather than replace, decision-making humans. “That means ensuring that citizens don’t experience significantly adverse consequences purely on the basis of an AI decision.” 

However, social workers who are asked to investigate people flagged by these systems before making a final decision aren’t necessarily exercising independent judgment, says Eva Blum-Dumontet, a tech policy consultant who researched algorithms in the UK welfare system for campaign group Privacy International. “This human is still going to be influenced by the decision of the AI,” she says. “Having a human in the loop doesn’t mean that the human has the time, the training, or the capacity to question the decision.” 

Despite the scandals and repeated allegations of bias, the industry building these systems shows no sign of slowing. And neither does government appetite for buying or building such systems. Last summer, Italy’s Ministry of Economy and Finance adopted a decree authorizing the launch of an algorithm that searches for discrepancies in tax filings, earnings, property records, and bank accounts to identify people at risk of not paying their taxes. 

But as more governments adopt these systems, the number of people erroneously flagged for fraud is growing. And once someone is caught up in the tangle of data, it can take years to break free. In the Netherlands’ child benefits scandal, people lost their cars and homes, and couples described how the stress drove them to divorce. “The financial misery is huge,” says Orlando Kadir, a lawyer representing more than 1,000 affected families. After a public inquiry, the Dutch government agreed in 2020 to pay the families around €30,000 ($32,000) in compensation. But debt balloons over time. And that amount is not enough, says Kadir, who claims some families are now €250,000 in debt. 

In Belgrade, ​​Ahmetović is still fighting to get his family’s full benefits reinstated. “I don’t understand what happened or why,” he says. “It’s hard to compete against the computer and prove this was a mistake.” But he says he’s also wondering whether he’ll ever be compensated for the financial damage the social card system has caused him. He’s yet another person caught up in an opaque system whose inner workings are guarded by the companies and governments who make and operate them. Ćurčić, though, is clear on what needs to change. “We don’t care who made the algorithm,” he says. “The algorithm just has to be made public.”

Additional reporting by Gabriel Geiger and Justin-Casimir Braun.

[rjzimmerman]

Arkansas May Have Vast Lithium Reserves, Researchers Say. (New York Times)

Excerpt from this New York Times story:

Researchers at the United States Geological Survey and the Arkansas government announced on Monday that they had found a trove of lithium, a critical raw material for electric vehicle batteries, in an underground brine reservoir in Arkansas.

With the help of water testing and machine learning, the researchers determined that there might be five million to 19 million tons of lithium — more than enough to meet all of the world’s demand for the metal — in a geological area known as the Smackover Formation. Several companies, including Exxon Mobil, are developing projects in Arkansas to produce lithium, which is dissolved in underground brine.

Whether lithium harvesting takes hold in the region will depend on the ability of those companies to scale up new methods of extracting the valuable battery ingredient from salty water. The processing technique that Exxon and others are pursuing in Arkansas, known as direct lithium extraction, generally costs more than more conventional methods do, according to the consulting firm Wood Mackenzie.

Energy and mining companies have long produced oil, gas and other natural resources in the Smackover, which extends from Texas to Florida. And the federal and state researchers said lithium could be extracted from the waste stream of the brines from which companies extracted other forms of energy and elements.

“The potential for increased U.S. production to replace imports has implications for employment, manufacturing and supply chain resilience,” David Applegate, the director of the United States Geological Survey, said in a statement announcing the study. “This study illustrates the value of science in addressing economically important issues.”

Federal researchers also have identified other potential resources that could produce large quantities of lithium, including the Salton Sea in Southern California, where Berkshire Hathaway Energy and other companies are working to extract lithium from hot liquid pumped up from an aquifer more than 4,000 feet below the ground by geothermal power plants.

Exxon Mobil recently drilled exploratory wells in Arkansas and was evaluating whether it could extract lithium in a cost-competitive way, Dan Ammann, the president of the company’s Low Carbon Solutions business, said in an interview last month.

[aionlinemoney]

India’s Tech Sector to Create 1.2 Lakh AI Job Vacancies in Two Years

India’s technology sector is set to experience a hiring boom with job vacancies for artificial intelligence (AI) roles projected to reach 1.2 lakh over the next two years. As the demand for AI latest technology increases across industries, companies are rapidly adopting advanced tools to stay competitive. These new roles will span across tech services, Global Capability Centres (GCCs), pure-play AI and analytics firms, startups, and product companies.

Following a slowdown in tech hiring, the focus is shifting toward the development of AI. Market analysts estimate that Indian companies are moving beyond Proof of Concept (PoC) and deploying large-scale AI systems, generating high demand for roles such as AI researchers, product managers, and data application specialists. “We foresee about 120,000 to 150,000 AI-related job vacancies emerging as Indian IT services ramp up AI applications,” noted Gaurav Vasu, CEO of UnearthInsight.

India currently has 4 lakh AI professionals, but the gap between demand and supply is widening, with job requirements expected to reach 6 lakh soon. By 2026, experts predict the number of AI specialists required will hit 1 million, reflecting the deep integration of AI latest technology into industries like healthcare, e-commerce, and manufacturing.

The transition to AI-driven operations is also altering the nature of job vacancies. Unlike traditional software engineering roles, artificial intelligence positions focus on advanced algorithms, automation, and machine learning. Companies are recruiting experts in fields like deep learning, robotics, and natural language processing to meet the growing demand for innovative AI solutions. The development of AI has led to the rise of specialised roles such as Machine Learning Engineers, Data Scientists, and Prompt Engineers.

Krishna Vij, Vice President of TeamLease Digital, remarked that new AI roles are evolving across industries as AI latest technology becomes an essential tool for product development, operations, and consulting. “We expect close to 120,000 new job vacancies in AI across different sectors like finance, healthcare, and autonomous systems,” he said.

AI professionals also enjoy higher compensation compared to their traditional tech counterparts. Around 80% of AI-related job vacancies offer premium salaries, with packages 40%-80% higher due to the limited pool of trained talent. “The low availability of experienced AI professionals ensures that artificial intelligence roles will command attractive pay for the next 2-3 years,” noted Krishna Gautam, Business Head of Xpheno.

Candidates aiming for AI roles need to master key competencies. Proficiency in programming languages like Python, R, Java, or C++ is essential, along with knowledge of AI latest technology such as large language models (LLMs). Expertise in statistics, machine learning algorithms, and cloud computing platforms adds value to applicants. As companies adopt AI latest technology across domains, candidates with critical thinking and  AI adaptability will stay ahead so it is important to learn and stay updated with AI informative blogs & news.

Although companies are prioritising experienced professionals for mid-to-senior roles, entry-level job vacancies are also rising, driven by the increased use of AI in enterprises. Bootcamps, certifications, and academic programs are helping freshers gain the skills required for artificial intelligence roles. As AI development progresses, entry-level roles are expected to expand in the near future. AI is reshaping the industries providing automation & the techniques to save time , to increase work efficiency. 

India’s tech sector is entering a transformative phase, with a surge in job vacancies linked to AI latest technology adoption. The next two years will witness fierce competition for AI talent, reshaping hiring trends across industries and unlocking new growth opportunities in artificial intelligence. Both startups and established companies are racing to secure talent, fostering a dynamic landscape where artificial intelligence expertise will be help in innovation and growth. AI will help organizations and businesses to actively participate in new trends.

#aionlinemoney.com

[nerdybeardcollective]

Investment Surge in GLP-1 Drugs Market: Trends and Future Prospects

Market Growth and Investment Trends

The GLP-1 drugs market has seen substantial investment from pharmaceutical companies and venture capitalists. This is driven by the increasing prevalence of type 2 diabetes and obesity, coupled with the efficacy of GLP-1 drugs in managing these conditions. Key trends include:

Rising Prevalence of Diabetes and Obesity: The global rise in lifestyle-related health issues is fueling demand for effective treatments.

Innovative Drug Development: Companies are investing heavily in R&D to develop next-generation GLP-1 drugs with improved efficacy and fewer side effects.

Strategic Collaborations and Partnerships: Collaborations between pharmaceutical giants and biotech firms are accelerating innovation and market entry of new drugs.

Recent Developments

Several notable developments have occurred in the GLP-1 drugs market:

New Drug Approvals: Regulatory bodies like the FDA and EMA have recently approved several new GLP-1 receptor agonists, expanding treatment options.

Clinical Trials and Research: Ongoing clinical trials are investigating the broader therapeutic potential of GLP-1 drugs, including their effects on cardiovascular health and non-alcoholic fatty liver disease (NAFLD).

Technological Advancements: Innovations in drug delivery systems, such as oral formulations and long-acting injectables, are enhancing patient compliance and convenience.

Browse Press Release

Future Opportunities

The future of the GLP-1 drugs market holds numerous opportunities for growth and innovation:

Expansion into New Therapeutic Areas: Research suggests potential applications of GLP-1 drugs in conditions beyond diabetes and obesity, such as neurodegenerative diseases and inflammation.

Personalized Medicine: Advances in genomics and biomarkers may enable personalized GLP-1 therapies tailored to individual patient profiles, improving outcomes.

Emerging Markets: Increasing healthcare access and rising diabetes prevalence in emerging markets present significant growth opportunities for GLP-1 drugs.

Conclusion

The GLP-1 drugs market is poised for remarkable growth, driven by robust investment, innovative developments, and expanding therapeutic applications. As research progresses and new technologies emerge, GLP-1 receptor agonists will play a crucial role in addressing the global burden of diabetes, obesity, and potentially other diseases, offering improved health outcomes for millions.

About iDataAcumen

iDataAcumen is a global business intelligence and management consulting firm providing data driven solutions to a wide array of business challenges. Our clients are present across major geographies globally and belong to industries ranging mainly from healthcare, pharmaceuticals, life science, biotechnology, medical devices, food industry, chemicals, among others. We have catered to more than 500 clients across these industries.

We aspire to help our clients build a sustainable business by providing them robust business insights that are derived from sound data driven analysis. In today’s ever changing business environment, its become important to look objectively at your own business just as it is important to look at the competition. Technological advancement including but not limited to big data, artificial intelligence, and machine learning are helping industries worldwide to make informed business decisions. Our research process also makes use of some of these advanced tools to uncover valuable insights from vast amount of data to arrive at logical conclusions.

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The Role of Data Analytics Consulting in Business Growth 

Professional data analysts guide corporate clients in modifying operations, attracting customers, and solving business problems. Therefore, they can assist brands in increasing operational efficiency for better profit margins and crafting exceptional growth strategies. At the same time, integrating new tech advancements like large language models (LLMs) empowers analytics consultants to process qualitative data for comprehensive insights. This post will elaborate on the crucial role of data analytics consulting in business growth and competitive resilience.  

What is Data Analytics? 

Data analytics employs computer-aided statistical models to discover reliable industry trends, competitor tactics, and consumer insights. Its input datasets comprise consumer purchase history, supply chain details, and regional market entry challenges. 

A consulting analyst might utilize proprietary and open-source programs to develop statistical models and flexible reports to deliver insights based on clients’ instructions. Therefore, experts in data analytics consulting services will find the best approach to cost reduction without losing data integrity. They might also help share the digital governance liabilities amid the rise of privacy and investor confidentiality regulations.  

Understanding the Role of Data Analytics Consulting in Business Growth 

1| Creating a Data Strategy to Accomplish Business Goals 

Relevant data is essential for responsible decision-making, clever milestone determination, and strategy innovation. Data analytics allows organizations to check how a data point relates to its long-term vision and performance. 

For instance, prioritizing tangible results helps make reports more impactful. Eliminating data points that do not align with business goals can help reduce resource consumption for storage and visualization. After all, streamlined computing is a prerequisite for operational efficiency. 

2| Forecasting Scenarios for Risk Assessment and Mitigation  

Data analysts interpolate data points to estimate the missing values in a database. Likewise, they leverage machine learning (ML) models to offer predictive analytics consulting services for revenue, risk, and industry projections. 

Related forecasting report creation programs require powerful computing hardware. Otherwise, enterprises use cloud platforms for scalability and expert-assisted tech maintenance. Letting a data analyst team oversee these developments will also enable brands to benefit from outsider perspectives during risk or resilience management. 

3| Making Reports More User-Friendly with Precise Performance Insights 

Complex and over-tabulated reports make employees spend more time performing standard tasks like sharing a record or comparing identical series. Data analytics consultants can revise reporting methods and presentation styles to boost the ease of navigation. They will guide your team in efficiently using recognized and emerging analytical tools. 

Consultants must also demonstrate command over performance metrics monitoring through straightforward, real-time updates. When they quickly capture anomalies, promptly tracing and rectifying inefficiencies becomes possible.  

3| Gathering Relevant Intelligence 

Data quality managers consider relevance to business objectives essential for responsible decision-making and preventing wasteful resource usage. Therefore, experienced data analytics firms refrain from employing data mining methods without adequate programming for relevance-based filtering. 

When you store irrelevant business intelligence (BI), you increase the risk of slowing data sorting and query-led quick retrieval. After all, your IT resources must scan vast datasets before providing the best output or insight. The related role of analytics consulting in business growth encompasses devising methods to restrict irrelevant BI processing. 

4| Finding Unique Customer Experience Insights 

Several consultants offer customer analytics comprising engagement metrics and customer experience (CX) enhancement ideas. They can also evaluate whether a customer will help increase brand awareness through word-of-mouth promotions. 

Companies can leverage heatmaps and website engagement metrics to ascertain user interactions and intents. For instance, many consumers prefer surfing the web and reviewing businesses’ online presence for informational and commercial intent. You want to customize landing pages to match the intent and design programs based on frequent usage for CX improvements. Telemetry and usage analytics specialists will help your designers test and optimize the required elements. 

5| Helping Manage Workers and Data Culture 

Human resource insights describing how employees contribute to organizational initiatives allow managers to reward the top performers. Simultaneously, they can determine which employees need further guidance on efficient workflows and team coordination. 

Examining employee performance through ML-assisted analytics necessitates secure data pipelines because employees’ personally identifiable information (PII) also attracts cyber threats. Consider identity theft attackers stealing and forging virtual IDs to hijack enterprise IT systems for corporate espionage. 

Therefore, you are better off collaborating with established human resource analysts and data culture veterans. They can facilitate comprehensive insights without hurting your company’s governance standards. 

6| Accelerating Innovation and Monitoring Patents 

A company’s intellectual property (IP) rights demonstrate its domain expertise and unlock additional revenue through licensing or sublicensing regimes. However, as markets mature, multiple brands will inevitably promise identical or commoditized offerings. This situation makes it harder to differentiate these brands based on standard specifications. 

Innovation engineering, a discipline inspired by the systems approach for hybrid tech tools, is essential to making your branded offerings attract investments and demand. At the same time, data analytics consulting is indispensable for uncovering innovation opportunities to ensure clients’ business growth. It reduces the time spent tracking registered patents and predicting legal conflicts in securing IP rights. 

The Methods in Data Analytics for Steady Business Growth 

Time series analysis describes a business’s past performance and forecasts future growth potential. Furthermore, you can apply it to market intelligence, competitor insights, and investor relations. 

Regression analysis establishes or investigates the relationship between dependent and independent variables to create statistical models. These models can later help explore specific predictions. 

Cluster analysis often groups data points based on similar attributes to streamline conditional sorting, visualization, prioritization, and multi-model methods. 

Meanwhile, factor analysis emphasized data reduction to highlight latent variables. These variables explain the underlying data structure, informing data leaders’ strategies for efficient modeling. 

Predictive and prescriptive analyses deliver scenario simulations. You want to define constraints related to favorable and unfavorable decision outcomes. Next, exploring the risk-reward aspects will help discard potentially harmful decisions or strategies. Prescriptive methods give risk mitigation ideas concerning internal and external threats. 

Conclusion 

Data-centric business growth depends on responsible data source selection, safe data storage, fast validation, and short time-to-insight (TTI). Accordingly, professional data analysts recognize these requirements, sharpening their skills and augmenting their toolkits to deliver smart insights and meet client expectations. 

A supply chain analytics expert will help reduce the delays between material acquisition, production, inventory replenishment, remote delivery, and final distribution. At the same time, a human resource analyst categorizes employees and suppliers based on their key performance indicators (KPIs). A financial analyst can provide practical cost reduction recommendations, and a risk analyst will devise resilience-ensuring mitigation strategies.  

As a result, leaders must identify what type of data analytics consulting role will let them accomplish business growth objectives for the given quarter. Do they want to solve a problem involving in-house operations or plan to enter a new market? Similar considerations will impact how you select analytics partners and tools. This process might overwhelm you, indicating a need for experts’ oversight from the beginning till the project completion. 

[northdigitalacademy]

Best Course After Graduation With 100% Placement In Amritsar

Choosing the best skill course after graduation with 100% placement in Amritsar would depend on your interests, career goals, and the demand in the job market. Here are some popular skill courses that often have high placement rates and demand in various industries:

Digital Marketing: With the increasing digitization of businesses, digital marketing skills are in high demand. Courses covering SEO, social media marketing, content marketing, and analytics can equip you with valuable skills sought after by companies of all sizes. North Digital Academy will consider as best option if you are planning for digital marketing 

Data Science and Analytics: Data is driving decision-making across industries. Learning skills in data analysis, machine learning, and data visualization can lead to lucrative career opportunities in sectors like finance, healthcare, e-commerce, and more.

Web Development: Web developers are needed to build and maintain websites for businesses and organizations. Learning front-end and back-end development languages like HTML, CSS, JavaScript, and frameworks like React or Angular can open doors to employment opportunities.

Graphic Design: If you have a creative flair, pursuing a course in graphic design can lead to opportunities in advertising agencies, design studios, publishing houses, and more. Learning tools like Adobe Photoshop, Illustrator, and InDesign is essential for this field.

Hospitality Management: Amritsar is a tourist destination with a growing hospitality industry. Courses in hospitality management can lead to jobs in hotels, resorts, event management companies, and tourism agencies.

English Language Training: With the increasing importance of English language skills in various sectors, courses in English language training can lead to opportunities as English language trainers, content writers, or communication specialists.

Accounting and Finance: Courses in accounting software like Tally or courses in financial accounting can lead to job opportunities in accounting firms, corporate finance departments, or banks.

When choosing a course, consider factors such as the reputation of the institution offering the course, the curriculum, industry relevance, and placement records. Additionally, conducting thorough research and consulting with professionals in your desired field can help you make an informed decision.

[gouravsapra]

A top machine learning development company shines with deep AI expertise, skilled data management, and advanced tools. Their certified team ensures innovative solutions and transparent processes, backed by cutting-edge research and creative problem-solving.

[insignia2023]

Mastering Machine Learning | Insignia Consultancy

Delve into the world of machine learning with our comprehensive guide, designed to demystify complex concepts and empower you to apply cutting-edge techniques.

[otbsolutions]

6 Cutting-Edge Web Development Trends in London for 2023

Innovative websites balance creativity, performance and future-proofing across digital experiences. The latest web development requires ongoing learning due to fast technology changes. What are the popular frameworks, techniques, and interactions are people discussing for the upcoming year? Top UX Design Company London and coders are sharing the latest web trends that influence their strategic consulting for 2023 engagements.

1. Progressive Web Apps (PWAs)

Web Design Services London says Progressive Web Apps are a game-changer. They bring together web and mobile apps' high performance and user engagement. Like traditional web pages, PWAs load quickly, offering functionality like offline accessibility and push notifications. Businesses in London that choose PWA technology will enjoy better user experiences, higher conversion rates, and lower development costs.

2. AI and Machine Learning Integration

More and more web design services London UK include artificial intelligence and machine learning in web development. They analyze users 'behavior and preferences and provide customized experiences for users. Whether through chatbots that provide immediate customer service, or through AI-assisted personalization of content and gifts, AI and machine learning are changing how companies do business online with their customers.

3. Voice Search Optimization

With voice-activated devices becoming ubiquitous, focusing on voice search is becoming essential. Digital Marketing Services in London believes that web content must be adapted to voice queries, which are more conversational and longer than typed searches. This trend is geared towards making your website's information easy to find through voice search, improving navigability and user experience.

4. Motion UI Design

Motion UI is a rising trend among the London UI design Company experts. Animations and dynamic graphics are used to liven up web pages and make them interactive. This year, you will see more sites using inconspicuous animations, hover effects, and background animations to direct user focus and to enhance storytelling on pages.

5. Cybersecurity Enhancements

Experts in IT Consultation service London are discussing the need for strong cybersecurity in web development due to the growing threats in the digital world. It means using modern security protocols, doing regular security audits, and following data protection rules. Companies must protect their data and build trust with customers.

6. Sustainable Web Design

Sustainability in web design is an emerging trend. Therefore, Web Design London firms have focused on developing environmentally friendly and energy-efficient websites. This means optimizing images and videos for quicker load times, using eco-friendly hosting services, and designing for less data transfer. It's about designing sites not only pretty and functional, but friendly to Mother Earth.

Conclusion

London Web Development Services stays ahead of tech shifts. They do this to serve clients better. They experiment, test solutions, and adopt new technologies early. They also choose the right time to implement these changes. OTB Solutions is the Best UX Company In London and a digital transformation expert. They combine strategic vision with tactical implementations. Their goal is to convert ambitious ideas into engaging online experiences. These experiences are future-ready and prepared for what comes next.

[sanjeevmansotra]

Sanjeev Mansotra on Digital Revolution in Africa: Unveiling the Potential for Growth and Innovation

Africa, sometimes called the "dark continent," is currently experiencing a digital revolution that is altering how people live, work, and interact. The African continent is embracing the digital era and unlocking its potential for prosperity and creativity because of technological advancements and improved internet connectivity. According to Sanjeev Mansotra digital technology, including computers, applications, and machine learning, presents new possibilities for individuals, companies, and occupations. This shows that having access to the Internet in African nations boosts employment and lowers poverty. 

The broad adoption of mobile technology has been one of the main forces behind this digital revolution. In Sub-Saharan Africa, smartphone use will rise to 87% by 2030 from 51% in 2022, predicts the Global System Operators and Manufacturers Association (GSMA) report "The Mobile Economy 2023," which was published on February 27, 2023. “By incorporating AI into banking, education, health care, and many other industries, Africa has a significant opportunity to make its mark on the digital revolution and advance the digital culture there”, asserts Sanjeev Gandhavraj Mansotra.

One such invention that is altering the financial environment in Africa is mobile money. Mobile money platforms have developed as a substitute for traditional banking services, making it possible for people to send and receive money, pay bills, and access financial services via their mobile phones. Traditional banking services are inaccessible to many Africans. Millions of formerly unbanked people now have access to financial services, boosting the economy and lowering poverty. 

In Africa, the digital revolution is changing entrepreneurship and education. The education gap is closed, and African youth are given more power thanks to e-learning platforms and online courses. In industries including fintech, e-commerce, health tech, and agritech, African tech startups are on the rise, utilizing technology to address regional issues and raise living standards. As per Sanjeev Mansotra’s core education analysis African government must adopt the growing digital culture, whether it is about AI in education, banking healthcare, or fintech, the continent must educate itself with digital literacy as today’s era is completely transforming into digital aspects.  

The digital revolution is also making it easier to access necessities like healthcare. To receive medical advice and consultations without having to travel, telemedicine platforms connect patients with doctors virtually. Bridging the gap between isolated people and healthcare experts is especially important in rural areas with few healthcare facilities. 

Africa's digital revolution is not without its difficulties. Obstacles including the digital gap, a lack of infrastructure, and cybersecurity issues must be addressed. However, there is a tremendous opportunity for growth and innovation if firms and governments invest in digital infrastructure and regulations. 

In Africa, the digital revolution is leveling the playing field, empowering people, and opening new avenues for social and economic advancement. As Africa uses technology to its advantage, it will soon dominate the digital economy and serve as a powerhouse for creativity and innovation. Africa's digital revolution is paving the way for a better future by creating a connected, thriving continent that is equipped to meet the challenges of the twenty-first century.

[mariacallous]

The “True Sensation” dildo is a fleshy, silicone tool that measures exactly 7 inches and has the ability to vibrate (three different frequencies), thrust (seven different speeds), and self-heat (up to 105 degrees Fahrenheit). It’s just like the real thing, James Guo, the founder of Our Erotic Journey, assures me from his office in Irvine, California. Best of all—everything is controlled through the app AMZ.

“It connects to someone that’s oceans away,” he says of its potential for creating all kinds of sexual fantasies. Teasingly, he adds: “There’s also music that can match the intensity of the vibration.”

True Sensation is just one offering featured among the wide inventory of Our Erotic Journey, the sex toy brand Guo launched in 2019. Its online store, which boasts more than 200 products, is a pleasure chest of sexual self-amusement. Take your pick: There’s the lipstick-shaped vibrator, a remote-controlled rotating butt plug, various cock rings, something called the “Gravity Rocket” (a clitoral suction vibrator with seven massage modes), and a smattering of glow-in-the-dark accessories. “Those are for the ravers,” Guo jokes.

The sex tech market is estimated to triple by 2030, exceeding $100 billion globally in sales. The demand for products, from AI-assisted companions and personal wand massagers to sexual wellness apps, sits at an all-time high. At a moment when industry trends favor artificial intelligence and remote sex exploration, Guo just wants to make eccentric, high-quality vibrators. He’s betting big on toys.

In the years since launch, Guo has built Our Erotic Journey into a quietly influential brand through intentionally whimsical designs and an insistence on quality products. “I know production,” Guo says. His family, he tells me, owns an auto-parts factory in China, and what he learned from the business—how the factory system runs, the science of machines, what style of packaging attracts customers—he leveraged for OEJ.

Guo admits that the initial product line—about 20 toys, of which the Sec Duo vibrator for couples remains a company best-seller—was devised to “fit the market.” “We self developed the first batch through modding, R&D, scaling, all that stuff,” he says. “Everything since that represents more of who we are.”

That’s how OEJ’s six themed collections came to be. The Cristal collection is for glass toys while the Space, Thrillz, and Lit collections are for truly uninhibited pleasure seekers (one features a dildo called “The Girthquake,” that exploits a specific, if sometimes worn out, racial fantasy).

But where Guo, who is 35, sometimes falls short in imagination, he more than makes up for in vigilance. “Users expect and deserve products that meet stringent safety standards, and any deviation can damage a brand’s reputation irrevocably,” he posted in an XBIZ editorial in September. “Partner with trusted white-label manufacturers rather than gamble on the unknowns.”

When I ask Guo about the editorial, he stresses that the success of sex tech is determined as much by the innovation involved in the products as the quality. “We want to be more of a bridge from human to human,” Guo says, “not just from toy to human.”

Even with promising market projections—another estimate goes so far as to predict sales could surpass $121 billion by 2030—industry analysts are not convinced that the future of sex tech is in toys.

It’s a “very oversaturated market that is now avoided by many,” says Olena Petrosyuk, a partner at the consulting firm Waveup. This year, she adds, investors “are looking away from ‘commoditized’ trends”—sex toys, but also sex content and social platforms. “Many failed to prove the economics and scale. The category is still fairly stigmatized,” she says. “OnlyFans being a massive exception.”

So what do consumers want? Petrosyuk says wellness, AI, and immersive realities are hot right now. “Practically every new sex tech startup is thinking in terms of AI use cases,” she says. “If it’s AI toys—companies are looking into how they can anticipate and respond to the user’s needs. If it’s robotics—we see companies looking into sex bots. If it’s content—it’s hyperpersonalized sex personas.”

Guo tells me he is not phased by talk of AI sex robots—“a low-volume business,” in his estimation—because many people cannot afford the high price tag. Continued success, he believes, is will come by expanding on the company’s themed collections. OEJ works directly with US and Canadian distributors; it is not a direct-to-consumer business, though he says customers do occasionally order via the online store.

Although ecommerce is the industry standard in retail and electronics, taking more of an old-school approach works for Guo. Next year, OEJ plans to launch a Zodiac collection, crafting 12 unique toys for each astrological sign. It’s an appeal to the Co–Star fanatics of Gen Z. “Every generation is different,” he says.

The company’s mostly nonexistent social media presence only seems to add to their Wonka-like mystery. “We’re just bad at it,” Jerry Chen, an operations assistant, says. “We’re really focused on production.”

For now, that business model seems to be a hit. Our Erotic Journey recently won the “Best Pleasure Product Manufacturer—Small” prize at the 2023–2024 AVN Awards in Las Vegas, a litmus test for newbie brands in the adult content world. OEJ also received the O Award for Outstanding New Product for “Sexy Pot,” Guo’s marijuana-leaf-shaped vibrator, a customer favorite.

Clearly wanting to capitalize on its unexpected success, Guo says, “It’s time we gave it a sister or brother.”

[360digitmg-datascience]

Building Future-Ready Skills: Data Science Courses in Noida

Building future-ready skills in data science is essential in today's data-driven world. Noida, as a growing technology hub, offers a range of data science courses and programs to help individuals develop the skills needed to excel in this field. Here's a look at some data science courses and programs available in Noida:

Bachelor's Degree Programs:

Many universities and colleges in Noida offer undergraduate programs in computer science, data science, or related fields. These programs provide a solid foundation in programming, statistics, and data analysis.

Example: B.Sc. in Data Science, B.Tech in Computer Science with Data Science specialization.

Master's Degree Programs:

Postgraduate programs in data science, business analytics, and artificial intelligence are popular choices for those looking to specialize in this field.

Example: M.Sc. in Data Science, M.Tech in Artificial Intelligence, MBA in Business Analytics.

Postgraduate Diploma in Data Science:

Many institutes and universities offer one-year postgraduate diploma programs specifically designed to equip students with practical data science skills.

Example: Postgraduate Diploma in Data Science and Machine Learning.

Certification Courses:

Short-term certification courses provide focused training in data science tools, techniques, and programming languages.

Example: Certificate in Data Science, Python for Data Science Certification.

Online Courses:

Online learning platforms like Coursera, edX, and Udemy offer a wide range of data science courses that can be taken from anywhere in Noida.

Example: "Data Science Specialization" on Coursera, "Data Science MicroMasters" on edX.

Corporate Training Programs:

Some IT companies and consulting firms in Noida offer in-house data science training programs for their employees, which can be highly specialized and job-oriented.

Data Analytics Bootcamps:

Bootcamps are intensive, short-term programs that focus on practical skills and often include real-world projects.

Example: Data Science Bootcamp, Machine Learning Bootcamp.

Specialized Workshops and Seminars:

Noida hosts various workshops, seminars, and meetups related to data science, machine learning, and artificial intelligence. These events provide an opportunity to learn from experts and network with professionals in the field. let's delve deeper into the various aspects of data science courses in Noida:

1. Curriculum and Topics Covered:

Data science courses typically cover a wide range of topics, including data analysis, machine learning, statistical modeling, data visualization, and programming languages such as Python and R. Ensure that the course you choose aligns with your career goals and interests.

2. Practical Experience:

Practical experience is crucial in data science. Look for programs that offer hands-on projects, case studies, and access to real datasets. Practical exposure helps you apply your knowledge to real-world problems.

3. Faculty Expertise:

The quality of instructors can greatly impact your learning experience. Research the faculty's qualifications, industry experience, and their contributions to the field of data science.

4. Industry Connections and Internship Opportunities:

Institutes with strong ties to the industry often provide opportunities for internships and collaborations with companies. These experiences can help you gain practical experience and potentially lead to job offers.

5. Placement Assistance:

Check whether the institute offers placement support and has a track record of placing students in reputable companies. Good placement assistance can significantly boost your career prospects.

6. Flexibility and Duration:

Consider your schedule and preferences. Some courses are full-time, while others offer part-time or online options, making it easier for working professionals to upskill.

7. Certification and Accreditation:

Look for courses that provide industry-recognized certifications upon completion. These certifications can enhance your credibility in the job market.

8. Alumni Network:

Institutes with active alumni networks can be valuable for networking, mentorship, and job referrals. Connect with alumni to gain insights into their experiences and career paths.

Kickstart your career by enrolling in this data analyst course noida

9. Cost and Financial Aid:

Compare the costs of different programs and check if there are any scholarships, financial aid, or installment options available to ease the financial burden.

10. Continuing Education and Resources:

Data science is an ever-evolving field. Choose an institute that supports lifelong learning through resources, workshops, and alumni access to updated content.

11. Infrastructure and Technology:

Ensure that the institute has the necessary infrastructure, including computer labs with the latest software and tools for data analysis.

12. Course Reviews and Testimonials:

Read reviews and testimonials from previous students to gauge their satisfaction with the course and its impact on their careers.

13. Location and Networking:

Noida's proximity to Delhi and its thriving tech industry provides ample networking opportunities, as well as access to tech conferences, seminars, and job fairs.

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14. Specializations:

Depending on your interests and career goals, consider whether the program offers specializations in areas like deep learning, natural language processing, or big data analytics.

Remember that building a successful career in data science requires dedication, continuous learning, and practical application of skills. Therefore, choose a course that not only imparts knowledge but also equips you with the ability to adapt to the ever-changing landscape of data science. Additionally, consider seeking advice from professionals already working in the field to gain insights into the most relevant skills and courses for your specific career aspirations.

When choosing a data science course in Noida, consider your background, career goals, and preferred learning format. It's also important to research the institute or platform offering the course, review the curriculum, and seek feedback from past students if possible. Additionally, look for programs that provide hands-on experience and opportunities for practical application of data science skills, as real-world projects can significantly enhance your learning and future employability.

Source link: Data Analytics Case Studies

Top 12 IT Companies in Noida