Category Archives: Data Mining

Big Data Analytics: The Key to Resolving Complex Business … – ReadWrite

Big data analytics is the complex process of examining large and diverse datasets to uncover hidden patterns, correlations, market trends, and customer preferences. It is a crucial tool for organizations to make informed business decisions and tackle complex problems. In this article, we will explore the significance of big data analytics, its applications, benefits, challenges, and its history and growth.

Just as you would want a trained physician to diagnose your health problems, you need experts in big data analytics to help solve complex business problems. Subject Matter Experts (SMEs) or Known Opinion Leaders (KOLs) who have proven success in your industry can apply AI and analytics methods to develop a roadmap and lead your organization to success.

Big data analytics is a form of advanced analytics, which involves complex applications with elements such as predictive models, statistical algorithms, and what-if analyses powered by analytics systems. It differs from traditional business intelligence (BI) queries, which answer basic questions about business operations and performance.

The big data analytics process consists of four main steps:

Many different types of tools and technologies are used to support big data analytics processes. Some common technologies and tools include:

Big data analytics applications often include data from both internal systems and external sources, such as weather data or demographic data on consumers compiled by third-party information service providers. Streaming analytics applications are also becoming common in big data environments, as users perform real-time analytics on data fed into Hadoop systems through stream processing engines like Spark, Flink, and Storm.

Big data analytics has been embraced by a diverse range of industries as a key technology driving digital transformation. Users include retailers, financial services firms, insurers, healthcare organizations, manufacturers, energy companies, and other enterprises. Some examples of how big data analytics can be applied in these industries include:

The benefits of using big data analytics services include:

Despite the many benefits that come with using big data analytics, its use also presents challenges:

The term big data was first used to refer to increasing data volumes in the mid-1990s. In 2001, Doug Laney expanded the definition of big data by describing the increasing volume, variety, and velocity of generated and used data. These three factors became known as the 3Vs of big data. As per recent study most of the routine and daily based task will be automated in 2030.

The launch of the Hadoop distributed processing framework in 2006 was another significant development in the history of big data. Hadoop, an Apache open-source project, laid the foundation for a clustered platform built on top of commodity hardware that could run big data applications.

By 2011, big data analytics began to take a firm hold in organizations and the public eye, along with Hadoop and various related big data technologies. Initially, big data applications were primarily used by large internet and e-commerce companies such as Yahoo, Google, and Facebook, as well as analytics and marketing services providers. More recently, a broader variety of users have embraced big data analytics as a key technology driving digital transformation.

Big data analytics plays a crucial role in addressing complex business problems and helping organizations make informed decisions. Its applications, benefits, and growth have made it an indispensable tool in various industries. By understanding the challenges and choosing the right technologies and tools, organizations can harness the power of big data analytics to drive success and remain competitive in the marketplace.

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Big Data Analytics: The Key to Resolving Complex Business ... - ReadWrite

Validea’s Top 5 Information Technology Stocks Based On Joseph … – Nasdaq

Validea's Top 5 Information Technology Stocks Based On Joseph ...  Nasdaq

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Validea's Top 5 Information Technology Stocks Based On Joseph ... - Nasdaq

A Dirty Job That Few Want: Mining Companies Struggle to Hire for the Energy Transition – The Wall Street Journal

Lily Dickson was hurrying across the University of Leeds campus when a student campaigner handed her a flier that called for a ban on campus recruiting by mining and oil-and-gas companies.

The 24-year old doctoral student in geology was taken aback. She had recently returned from a trip to Finland, having worked with Vancouver-based miner Mawson Gold, exploring new places to mine cobalt in Europe.

The ban wasnt an empty threat or an isolated incident. Last year, four U.K. universitiesbut not Leedsbanned mining firms from recruiting on campus and attending careers fairs, part of a broader trend of college graduates and young workers turning their backs on extractive industries that they fear harm the planet.

Companies that mine copper, lithium and other metalsviewed as a critical part of the supply chain to produce green energysay they are struggling to find enoughyoung workers to support the transition.Most mining companies in the U.S., Australia and Europe say their expansion and growth plans could come under pressure if current hiring trends continue, especially for high-skilled roles such as engineers, exploration geologists and data analysts.

Changing societal expectations place pressure on our brand as an employer, and require us to become better at communicating who we are and what we stand for, said Rio Tinto in its latest annual report.

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Despite their part in the energy transition, mining companies face a perception of being in a dirty industry thanks to a legacy of mining disasters and accusations of worker exploitation and sexual assault. It is among the worst ranked professions for young people to enter: A global survey by consulting firm McKinsey found 70% of its 15- to 30-year-old respondents said that they definitely wouldnt or probably wouldnt work in mining.

In the U.S., the number of 2020 geology and earth-sciences graduates was nearly 25% less than in 2015, according to the U.S. National Center for Education Statistics. During that period, the total number of students graduating overall increased 8%.

Canada and Australia, countries where mining is a significant economic contributor, also saw student enrollment to related courses drop. In Australia, the total number of mining graduates fell 63% in 2020 from 2014, according to McKinsey. Canadas mining and mineral-engineering enrollment was down 10% in 2020 compared with 2016, according to Canadas Mining Industry Human Resources Council.

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The declines are raising concerns of a future knowledge gap that could affect extraction as companies are having to mine deposits with lower density of metals.

People have left before, but now we dont have the talent pipeline coming in, and we are also losing experience through retirees, said Alex Gorman, mining research analyst at Peel Hunt.

More than half the mine workers in the U.S. are aged 45 years or older, according to Rohitesh Dhawan, chief executive of industry group, International Council on Mining and Metals. The people we have in the industry now are typically older and closer to retirement, he said, adding that the recruiting challenges means the industry is being squeezed on both sides.

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According to a McKinsey survey, 86% of industry leaders found recruiting and retaining the talent they needed harder. And, nearly three-quarters of those executives said the talent shortage is holding them back from delivering on production targets and strategic objectives. Rio Tinto has warned the shortfall could mean business delays or underperformance.

In the U.S., the job vacancy rate for mining and logging was 5.1% in March, up from 3.6% five years ago, according to Bureau of Labor Statistics data. Canadas mining job vacancy rates have been trending upward since 2015 to a peak last summer of around 4% in mining and quarrying jobs and slightly over 6% for mining support activities. Likewise, in Australia, mining vacancies rose to 10,600 jobs in February, up from 2,500 in May 2016, the lowest level since 2009, according to the Australian Bureau of Statistics.

The sector also struggles to attract women. Mining is among the few industries that continue to be male dominated and has a reputation as being unsafe for women. Rio Tinto found 28% of women working in mining experienced sexual harassment while 21 women reported cases of actual or attempted rape or sexual assault in the past five years, according to a 2022 report based on its survey of 10,000 employees.

It can be intimidating being the only woman in the room, said mining analyst Gorman, who also worked in copper mining projects in Botswana earlier in her career. Its hard to have a family and be a geologist on site, she said.

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An EY study last year found that women made up 12% of the global mining and metals workforce, a gender imbalance second only to the construction sector. The lack of women in leadership positions also is proving to be a hurdle when it comes to attracting a younger, diverse workforce.

Mining companies also face accusations of exploitation of local workforces.

There is normally not enough responsibility taken, especially with regard to sub-Saharan Africa in terms of exploitation of countries, said Haydon Mort, CEO of Geologize Ltd., a communications firm that helps mining companies with their public image.

The current recruitment challenge is built upon the perception that mining companies didnt take ownership of previous disasters and accusations of exploitation of local workforces are contributing to the bad reputation, experts say.

Companies are taking steps to counter the perception and hiring challenges. Miners are expanding their recruiting to include business and data-science majors. They also are hiring closer to mining locations where potential recruits are more familiar with the companies.

Rio Tinto saw a 30% uptick in the number of enrollments into its graduate-trainee program globally last year. This was our biggest cohort to date with 265 graduate roles, a spokesman for the company said, adding that it was hoping to recruit 300 college graduates this year.

BHP expects to hire 3,500 people through a new program recruiting apprentices and trainees rather than just college graduates.

Job-focused nonprofits also are jumping into the fray, eager to help build a talent pipeline for what they see as a fast-growing industry.

Women in Mining U.K., a nonprofit group, is working with schools to introduce more courses related to environmental and geological sciences into the U.K. curriculum, especially for those aged between 8 and 13. Everyone learns a bit of geology when they learn about volcanoes and this can be complimented further, said Stacy Hope, managing director of the group.

Hope also is aiming to introduce internships and scholarships to build a career path for young women interested in the field. She hopes that younger workers will help mining companies evolve, taking on more social responsibility and improving their mining practices.

Recruiting closer to the mines worked for Codelco, the state-owned copper mining company in Chile. In a recent survey, Codelco was the company that Chilean college graduates most wanted to work for, despite the recent disciplinary action from the environmental regulator. Other companies in the top 10 included Nestl and Walmart, according to Merco, a rankings agency.

Egyptian gold miner Centamin is also hiring more local labor than expatriates from Europe and Australia. Recruiting workers from within Africa keeps them relatively local and brings people with relevant knowledge from places such as Congo, Ghana and Zimbabwe that have more recent experience of mining compared with places like Europe, said Martin Horgan, CEO of Centamin.

Mort of Geologize said social-media apps such as Instagram are also a good tool to reach young people, but notes that the industry also needs to take ownership of previous issues such as environmental degradation.

You need authenticity, he said. Be transparent about the environmental impact and community of what you are doing.

However, not everyone agrees that mining is essential to the energy transition.

A certain amount of mining is necessary but the current profit-driven industry is responsible for wide-scale environmental and ecological devastation as well as countless acts of human rights abuses, said Jamie Kelsey Fry, a spokesman for U.K.-based environmental pressure group Extinction Rebellion.

Dickson was one of eight women in her 25-strong mining geology masters course last year. Most of her classmates have taken up jobs in the industry. She is continuing her studies, but she does plan to work in the industry eventually.

For Dickson, mining offers the chance to travel, work outdoors and research into sustainability, along with feeding her fascination with how the world works. As soon as you realize mining is essential, the most important thing is to get involved, said Dickson. Its excitingworking on things like a European source of cobalt, thats something which could actually be beneficial to society.

Write to Yusuf Khan at

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A Dirty Job That Few Want: Mining Companies Struggle to Hire for the Energy Transition - The Wall Street Journal

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Why Palantir Technologies Stock Rallied on Tuesday – The Motley Fool

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Why Palantir Technologies Stock Rallied on Tuesday - The Motley Fool

The Concept of Predictive Modelling – CIOReview

The use of computer software for predictive modeling has become increasingly popular as the process has become more complex and data quality efforts have increased exponentially.

In recent years, digital products and services have created more data than we've ever seen before. Consequently, more organizations are using big data analytics to derive value from their data.

What is predictive modeling?

Predictive analysis uses historical or real-time data to predict future events or outcomes. Forecasting sales, understanding customer behavior, and reducing market risks are some of the reasons businesses use predictive modeling. In addition to predicting future events, it determines what historical events are likely to occur again.

Data mining technologies are frequently used in predictive modeling solutions to analyze large data sets. As part of predictive modeling, data is collected, statistical analysis is performed, predictions are made, and the model is validated or revised. In the case of additional input data, these processes are repeated.

Benefits of predictive modelling

Predictive modeling reduces the time, effort, and resources needed to forecast business outcomes. Predictive modeling has the following top benefits:

An organization can use a predictive model to predict cyberattacks, fraudulent transactions, and other types of risks.

Marketing campaigns can be optimized by using predictive modeling to uncover customer insights.

Predictive modeling can be used to forecast inventory, create pricing strategies, and predict sales revenue.

Predictive modeling can help an organization prioritize resources in several ways. Getting lists of expected leads to convert allows sales teams to devote more time and effort to these high-priority leads.

How to build a predictive model

A variety of predictive modeling techniques are available. Neural networks and regression are two of the most prevalent techniques. As a statistical concept, regression describes the relationship between inputs and outputs. Depending on the variables, the predictive model could be linear or nonlinear.

An interconnected network of nodes in a hierarchical structure is the basis of neural networks, a predictive modeling tool based on the human brain. By establishing patterns and relationships between variables, future trends can be predicted. Aside from these two most popular predictive modeling techniques, businesses also use clustering, outliers, and classification models.

Data analytics teams traditionally handled predictive modeling manually. The use of computer software for predictive modeling has become increasingly popular as the process has become more complex and data quality efforts have increased exponentially. Because of this, most organizations use predictive modeling tools such as Oracle Crystal Ball, RapidMiner Studio, and SAP Predictive Analytics.

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Scientists identify over 5000 new species at future deep-sea mining … – Bulletin of the Atomic Scientists

Editors note: This story was originally published by The Guardian. It appears here as part of theClimate Deskcollaboration.

Scientists have discovered more than 5,000 new species living on the seabed in an untouched area of the Pacific Ocean that has been identified as a future hotspot for deep-sea mining, according to a review of the environmental surveys done in the area.

It is the first time the previously unknown biodiversity of the Clarion-Clipperton Zone (CCZ), a mineral-rich area of the ocean floor that spans 1.7m sq miles between Hawaii and Mexico in the Pacific, has been comprehensively documented. The research will be critical to assessing the risk of extinction of the species, given contracts for deep-sea mining in the near-pristine area appear imminent.

Most of the animals identified by researchers exploring the zone are new to science, and almost all are unique to the region: only six, including a carnivorous sponge and a sea cucumber, have been seen elsewhere.

Contracts for mining exploration in the CCZ have been granted to 17 deep-sea mining contractors in an area covering 745,000 sq miles. The companies, backed by countries including the UK, US and China, want to exploit minerals including cobalt, manganese and nickel, in part to sell to the alternative energy sector.

In July the International Seabed Authority, a quasi-UN body based in Jamaica that regulates deep-sea mining, will begin accepting exploitation applications from these companies.

To better understand the impact of mining this fragile ecosystem and its newly discovered inhabitants, an international team of scientists has built the first CCZ checklist by compiling all the records from expeditions to the region. Published in the journal Current Biology, it includes 5,578 different species, of which an estimated 88% to 92% had never before been seen.

We share this planet with all this amazing biodiversity and we have a responsibility to understand it and protect it, said Muriel Rabone, the papers lead author, a deep-sea ecologist at the Natural History Museum (NHM).

To study and collect specimens from the ocean floor, biologists have joined research cruises in the Pacific that send remote-controlled vehicles to traverse the seabed 4,000 to 6,000 metres below.

Dr Adrian Glover, deep-sea biologist at the NHM and senior author of the study,who has taken part in several expeditions to the CCZ, most recently on the UKs Smartex expedition, described it as an incredible privilege. The expedition, funded through the Natural Environment Research Council and others, is backed by UK Seabed Resources (UKSR), a deep-sea mining company that operates the UKs exploration area.The NHM has previously worked with UKSR and Deep Green, now the Metals Company, another mining firm, as a contractor in the area to provide baseline biodiversity data. It insists all data gathered is open-access in peer-reviewed literature.

The scientists watch operations by video link direct from the boat, as new species are gathered by remote operating vehicles in the darkness below.

The seabed, Glover said, is an amazing place where, despite the extreme cold and dark, life thrives. One of the characteristics of the abyssal plane is the lack of food, but life has a way of persisting down there, he said. Its a mystery.

One of the deep-sea animals discovered was nicknamed the gummy squirrel, because of its huge tail and jelly-like appearance, he said. There are also glass sponges, some of which look like vases. The most common categories of creatures in the CCZ are arthropods, worms, members of the spider family and echinoderms, which include spiny invertebrates such as sea urchins and sponges.

With approval for deep-sea mining looming, Glover said he believed it was imperative that we work with the companies looking to mine these resources to ensure any such activity is done in a way that limits its impact upon the natural world.

Asked about other scientists, including Sir David Attenborough, calling for moratorium on deep-sea mining because of the irreversible damage they say it will do to ecosystems, Glover said he believed his role was to inform.

Our role as scientists is not to decide if it can go ahead it is to provide the data, he said. Everyone who lives on this planet should be concerned about using it in a sustainable way. There is a big discussion on the horizon and it is incredibly important to engage the public to find out what path people want to pursue. You have regulators, the governments and the public, who will listen and read the information, the pros and cons.

In some ways I see it as very positive that we can come up with a regulatory structure before mining takes place. [In] other large industries, such as oil and gas, the regulations came later.

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Scientists identify over 5000 new species at future deep-sea mining ... - Bulletin of the Atomic Scientists

Ethereum Miner Turns to Dogecoin: BIT Mining Dumps ETH After … – Crypto News Flash

In a surprising twist in the crypto-sphere, BIT Mining (BTCM), once a leading Ethereum miner, has altered its crypto treasury strategy drastically. Following Ethereums monumental transition from proof of work to proof of stake, the Ohio-based miner, listed on the New York Stock Exchange, has shifted its focus to Dogecoin and Litecoin.

The company reported a revenue of $72.9 million for the last quarter, marking a near 20% increase from the previous quarter but witnessing a 75% plunge year on year. BIT Minings revenue is primarily split across three sectors: mining cryptocurrencies independently, mining as part of a pool, and hosting services within its data centers.

In the previous quarter, BIT Minings revenue from its mining pool reached $60 million, accounting for 82% of its total income. Meanwhile, self-mining and data centers each contributed approximately $6 million.

Prior to Ethereums transformation in September last year, known as the Merge, Ethereum mining made up over three-quarters of BIT Minings self-mining revenue. This pivotal shift in Ethereums consensus mechanism, which eradicated the necessity for crypto miners, predictably plunged BIT Minings self-mining income from $7.1 million in Q3 2022 to a mere $1.9 million in the subsequent period.

As Ethereum mining waned, the firm garnered $6.2 million from mining cryptocurrencies in Q1 2023, predominantly Litecoin (LTC) and Dogecoin (DOGE), post the shutdown of certain Bitcoin mining rigs. Notably, Dogecoin and Litecoin witnessed skyrocketing hash rates around the time of the Merge, despite their differing hashing algorithms from Ethereum.

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Amid these changes, Analyst Mike Fay (via Seeking Alpha) has expressed bafflement over BIT Minings decision to sell off one-third of its Ethereum holdings, amounting to 1,602 ETH ($3 million at current prices). In contrast, the firm boosted its Dogecoin holdings by 62% quarter on quarter, escalating from 42.8 million DOGE ($3.1 million) to 69.5 million DOGE ($5 million). Its Bitcoin holdings remained steady at 289 BTC, worth $7.8 million.

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With this shift, BIT Minings crypto treasury was almost 28% Dogecoin at the end of Q1 2023. The companys total assets stood at $40.2 million, with liabilities amounting to $39 million, including lease obligations.

Fay argued against BIT Minings strategy, questioning why the firm would hold onto meme coins instead of leveraging Ethereums staking potential at virtually no cost. Despite rising Ethereum prices, BIT Minings decision has sparked speculation and criticism, further fueling the debate on effective digital asset management strategies.

Crypto News Flash does not endorse and is not responsible for or liable for any content, accuracy, quality, advertising, products, or other materials on this page. Readers should do their own research before taking any actions related to cryptocurrencies. Crypto News Flash is not responsible, directly or indirectly, for any damage or loss caused or alleged to be caused by or in connection with the use of or reliance on any content, goods, or services mentioned.

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Ethereum Miner Turns to Dogecoin: BIT Mining Dumps ETH After ... - Crypto News Flash

This Week on Crypto Twitter: White House Mining Tax Scrapped, Bukele Hires Bitcoin Expert – Decrypt

Illustration by Mitchell Preffer for Decrypt

Markets finally began to grow a little this week after four weeks of stagnation. There wasnt a whole lot of news to drive prices either way. In the U.S., regulators continued to hold the line on their assertion that existing rules are sufficient for the industry. Meanwhile, another domestic crypto exchangeGeminicontinued expanding offshore.

The most politically important tweet from Crypto Twitter this week came from Congressman Warren Davidson, who confirmed on Monday that the new U.S. debt ceiling agreement blocked an unpopular White House proposal for a 30% excise tax to be applied to crypto mining firms based on how much electricity they consume.

Also that day, Bitcoin NFT project Ordinals hit a new milestone.

On Tuesday, El Salvadors National Bitcoin Officean official institution set up to promulgate Bitcoin as legal tender in the countryannounced that the countrys authoritarian president Nayib Bukele had hired a new Bitcoin consultant.

Alex Svanevik, the CEO of blockchain data and research company Nansen, announced that the company was letting go of 30% of its staff in order to streamline the company. He also mentioned the bear market as a factor.

Blockchain gumshoe ZachXBT exposed a particularly callous scam on Thursday.

Imagine earning a million in twenty-four hours for doing nothing except opening your wallet. Well, it has already happened. Welcome to the blockchain.

Its easy to get worried about AI these days with so many tech industry leaders labeling it a potential extinction threat. OpenAI CEO Sam Altman offered a more mundane prediction about the advent of artificial general intelligence: maybe things will keep on keeping on.

NFT theft is declining but the Blur marketplace is becoming popular for stolen digital goods, according to PeckShieldAlert.

Messari analyst Ally Zach on Thursday did a deep dive on Solanas newest users and how the blockchain caters to consumer applications.

Finally, crypto wallet provider Atomic on Saturday warned that several wallets have been compromised. Crypto sleuth ZachXBT revealed the eye-watering amounts of crypto at stake.


This Week on Crypto Twitter: White House Mining Tax Scrapped, Bukele Hires Bitcoin Expert - Decrypt

AI Accelerating Innovation in a Booming Nutraceutical Industry – The Economic Times

The process of developing a label claim in a nutraceutical product, from data mining to putting down a label claim that can goto lab for prototyping, can take anywhere from 3 to 6 months. With numerous products in development simultaneously, timelines can stretch further, and the challenge of selecting the right ingredients for label claims becomes increasingly complex. The growing library of potential ingredients, in-depth research papers, and regulatory compliance requirements add layers of complexity to the nutraceutical product development process.

Mr. Pankaj Bhat, GM R&D Piramal Pharma Limited, believes that a single product formula targeting a less complicated disease area can ideally be developed in 4-6 months, provided it is based on comprehensive scientific research, regulatory compliance, and thoroughly screened intellectual property data.

According to Shriram Balasubramanian, Director of Zuventus, companies need dedicated teams to expedite new nutraceutical product development, potentially launching 2-3 products per year. Although, Arun Misra, Global Head of Regulatory Affairs at Unilever, highlights the challenges of regulatory compliance and ingredient rationalization, as new ingredients are introduced regularly.

Given the enormous Indian nutraceutical industry potential of $100 billion, companies face a conundrum: how can they create multiple products quickly to meet the growing demand? The answer lies in artificial intelligence (AI) and the NutrifyGenie AI engine, which is transforming the global supply chain in nutraceuticals, allowing companies to swiftly commercialize their innovations across key markets.

The NutrifyGenie engine uses sophisticated algorithms to mimic the new product development process in a company. It aids in commercial decision-making, label claim validation, and real-time regulatory compliance for India and 11 other countries. The advanced convergence version of NutrifyGenie is slated to launch in June 2023 at the Nutrify C Suite Summit.

Vishrut Srivastava, MD of Yodaplus, a leader in AI, states that the complexities of generating differentiated nutraceutical label claims can only be addressed through a well-mapped global database and AI application. Rakshit Mehta, Chairman of Euroalliance, has used NutrifyGenie to create 36 nutraceutical products in a short period, has wholly adopted the platform and the AI engine's power and capability.

Raktim Chattopadhyay, CEO of Esperer Nutrition, highlights the challenges in creating scientifically advanced products, as documentation and rationalization increase exponentially with the complexity of the product. Esperer used NutrifyGenie to launch a high-tech nutraceutical portfolio for oncology.

Arvind Shukla, VP & Business Head of Nutrition & Nutraceuticals at Dr. Reddy's Labs, says that the main reasons for slow product launches in the nutraceutical industry are the vast information accessibility, validation, and supply chain scrutiny. Companies must ensure their products are differentiated, safe, effective, and sustainable. Arvind believes that AI technologies shall be able to assist in addressing these challenges.

Dhawal Katkar; Vice President & Business Head - Consumer Products; Glenmark believes that Nutraceuticals is the new OTC in the pharmaceutical industry. To harness the power of responsible nutrition and offer a substantial portfolio that follows principles of responsible nutrition, there is a need for curated AI ( AI plus professionals intelligence intervention ). This combination has a very critical role in curating and assisting in choice of precision ingredientsandproducts.

Amit Srivastava, Founder of NutrifyGenie, has worked with a team of data scientists, pharmacologists, biochemists, and IT professionals to create a world-class AI engine for nutraceutical product design, development, and commercialization. In the last 10 months, NutrifyGenie has commercialized dozens of products, with plans to launch hundreds more this year.

NutrifyGenie designs validated, differentiated formulas, mechanism of action diagrams, and showcases intellectual property data, enabling companies to explore patent filing for their unique formulas. The AI engine also connects supply chains and distribution networks in 11 countries, with plans to expand to 9 more in the coming quarters.

AI-driven solutions like NutrifyGenie are revolutionizing the nutraceutical industry, speeding up the new product development process and helping companies bring innovative, differentiated products to market faster than ever before. By leveraging AI technology, companies can navigate the complex landscape of ingredient selection, research analysis, and regulatory compliance more efficiently, ultimately delivering safe and effective nutraceutical products to meet the growing global demand.

Moreover, AI engines such as NutrifyGenie are not only reducing time-to-market for new products but also ensuring that companies can access a broader range of ingredients and research data, leading to more innovative and targeted nutraceutical solutions. This has significant implications for the industry, as it enables businesses to better address the diverse health needs of consumers worldwide.

As the nutraceutical industry continues to grow, it is expected that AI will play an increasingly significant role in shaping its future. The integration of AI in nutraceutical development promises to streamline processes, improve product quality, and enable companies to better respond to market trends and consumer demands.

The advent of AI in the nutraceutical industry marks a significant turning point for the sector. As more companies adopt AI-driven solutions, we can expect to see a new era of innovation and growth in nutraceuticals, leading to a healthier and more vibrant global population.

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AI Accelerating Innovation in a Booming Nutraceutical Industry - The Economic Times