MONTREAL, March 16, 2021 /CNW/ - Amgen announced today that it has entered into a multi-year partnership with Mila – Quebec Artificial Intelligence Institute. One of the world's leading biotechnology companies, Amgen uses cutting-edge science and technology to discover and develop innovative therapeutics, and AI is currently deployed in several of its R&D and manufacturing activities. This new partnership will permit Amgen to expand its knowledge of AI and deep learning by interacting and engaging with experts in Mila's unique ecosystem, both virtually and (eventually) on the Mila campus in Montreal. This announcement was made during Effervescence 2021, an international virtual gathering of scientists, entrepreneurs and industry professionals from the life sciences and health technology sectors in the presence of the Quebec Minister of Economy and Innovation, Pierre Fitzgibbon. "We are very happy to have signed this partnership with Mila," said Philip Tagari, Amgen's Vice President of Research, Therapeutic Discovery.

Juniper Networks executives say the company's artificial-intelligence (AI) focused enterprise strategy is what is behind much of the positive momentum the company is experiencing. Speaking at the JP Morgan 49th Annual Global Technology, Media and Communications conference today, CEO Rami Rahim said that the company's enterprise business has never been as strong as it is today and he attributes much of that strength to the company's AI-driven enterprise strategy. "AI-driven enterprise is not just a marketing slogan," Rahim said. We have an AI engine that drives the solutions that we are offering customers today." Much of the company's AI-driven enterprise strategy is a result of its 2019 acquisition of Mist Systems, which had an AI-powered wireless platform that Juniper then used to enhance its own networking solutions.

Happiest Minds Technologies has recorded a whopping net profit of INR 36.05 crores– a 580.19% year on year growth -- in the latest quarter. The IT company's sales for the same period stood at INR 220.71 crore–an 18.44% spurt. Headquartered in Bengaluru and with offices in Pune and Delhi NCR, Happiest Minds Technologies helps businesses in their digital transformation journey. The company offers Internet of Things (IoT), analytics/artificial intelligence, and digital process automation services. The company has 194 clients as of March 31, 2021.

Frost & Sullivan's white paper highlights the process of creating an AI strategy for your imaging department The medical imaging industry is in the midst of large-scale transformation, largely driven by the advancements in technologies such as artificial intelligence (AI) and analytics, digitalization of radiology, as well as the rise of precision medicine and teleradiology. These cutting-edge technologies are aimed at addressing challenges in clinical, operational, and staff and patient experiences. In addition, they will resolve critical business pain points such as reimbursement cuts, sub-optimal use of imaging, radiologist burnout, missed appointments, and shortage of radiology subspecialists. Frost & Sullivan's latest white paper, A practical Guide for the Implementation of Artificial Intelligence in Medical Imaging, highlights the major challenges in imaging and explores how AI can be leveraged to solve these challenges. It also covers the likely pitfalls during the implementation process and some of the key factors to consider for the successful implementation of an AI program.

Use BigQuery to process tabular data. Use Dataflow to process unstructured data. Use managed datasets to link data to your models. The recommended approach for processing your data depends on the framework and data types you're using. This section provides high-level recommendations for common scenarios. For general recommendations on data engineering and feature engineering for ML, see Data preprocessing for machine learning: options and recommendations and Data preprocessing for machine learning using TensorFlow Transform. If you're using TensorFlow for model development, use TensorFlow Extended to prepare your data for training. TensorFlow Transform is the TensorFlow component that enables defining and executing a preprocessing function to transform your data.

BlockFi Inc., a crypto-lending startup, mistakenly sent some users Bitcoin as part of a promotion and is working on reversing it.The company made what it called incorrect promo payouts in Bitcoin instead of U.S. dollars to certain customers. Though BlockFi worked on reversing them, a number of recipients withdrew the coins before the company could backpedal. The firm's exposure is around $10 million, though that amount is decreasing as more users return the coins, said Zac Prince, co-founder and chief executive officer of BlockFi."BlockFi "The issue that caused the withdrawals was fixed and incremental safeguards have been developed to prevent any similar issue in the future."The Though it's down significantly this week, each coin is trading around $34,000 Wednesday.Last week, BlockFi tweeted that some promotion participants "may see an inaccurate bonus payment displayed in their transaction history."Meanwhile, It's been in the limelight as it's grown in recent months amid a crypto-market rally that's being unwound this week.Read more: Lending Bitcoin to Earn 6% Comes With Risk You Won't Get at BankThe crypto firm's snafu is reminiscent of Citigroup Inc.'s $500 million blunder last summer when it accidentally sent payments to a group of lenders."As a stand-alone, it was just a glitch," Mike Loukas, chief executive officer at TrueMark Investments, said of BlockFi. "We see it with banks all the time in dollars.

Technological innovations have changed our lives in a way no one had ever imagined. Considering top technologies, mainly artificial intelligence, it would be no wrong to say that technology has revolutionized the way we used to work, shop, communicate, and travel. Today we have AI-powered software and applications that can act as human beings to resolve our queries and provide us with the information we need. Quytech, the leading mobile and web app development company, explores the potential of artificial intelligence and develops AI-based solutions that can help businesses to grow and succeed. Artificial intelligence relies on data available on the world wide web to assist in decision making.

Pandemic, new regulations send enterprises hunting for data to level-up their AISAN MATEO, Calif., May 18, 2021 (GLOBE NEWSWIRE) -- Explorium, the External Data platform that automatically discovers thousands of relevant data signals and uses them to improve analytics and machine learning, has closed its $75M Series C funding round, led by global venture capital and private equity firm Insight Partners, with existing investors Zeev Ventures, Emerge, F2 Venture Capital, 01 Advisors and Dynamic Loop Capital also participating. The round brings Explorium’s total investment to more than $127M, as George Mathew, Managing Director at Insight Partners and former President & COO of Alteryx, joins Explorium’s board of directors. Explorium’s latest capital raise, eight months after its Series B, comes on the heels of a year that revealed the limitations — and perils — of predictive models based entirely on internal data, as well as the challenges of obtaining impactful and reliable data from outside a company’s four walls. Reviewing the events of 2020, consulting firm McKinsey & Co. noted: “In a few short months, consumer purchasing habits, activities and digital behavior changed dramatically, making preexisting consumer research, forecasts and predictive models obsolete. Moreover, as organizations scrambled to understand these changing patterns, they discovered little of use in their internal data.” As business conditions evolved and regulations restricted access to crucial sources of information, business teams went hunting outside their organizations for data to support machine learning and other mission-critical analytics—and discovered it was no easy task. A recent Explorium study found enterprises were hungry for external data but had no clear idea how to get it. Of the respondents: 79% perceived external data as very valuable for analysis and modeling93% said finding relevant data took high or medium effort81% said they spent at least $100K a month acquiring external dataLess than 33% have an organized strategy for acquiring it. “Just a few years ago, enterprises were trying to get machine learning up and running. Now they’re realizing the importance not just of data quality, but data diversity,” said Dave Menninger, SVP & Research Director at Ventana Research. “Nearly 80% of the participants in our Machine Learning research are working with external data to enrich their models. The challenge is how to access that information easily and keep it up to date.” Explorium stands out as a singular solution to enterprises’ data dilemma. Its External Data Platform analyzes data models, searches its wide collection of thousands of external data signals and automatically discovers the most relevant signals to improve analytics and machine learning. Data scientists and business analysts can quickly enrich their predictive models with external data, benchmark the boost in performance and deploy the models with just a few keystrokes, with the assurance that all data is compliant with current regulations. Since the start of the pandemic, Explorium has doubled its customer base and more than quadrupled revenue. Companies like BlueVine, GlassesUSA.com, Melio and PepsiCo use Explorium to enhance AI models for use cases including lead scoring, identifying default risk and fraud and upleveling analytics such as demand forecasting and customer lifetime value. “Machine learning is key to our competitive strategy, and external data is what powers it,” said Elad Zoldan, Head of Data at Melio. “Before we started using Explorium, we had to search for data source by source and strike separate deals with different providers. It wasn’t a scalable or flexible solution. With Explorium, we have a universe of external data at our fingertips, and an incredibly efficient way to figure out what data will make the biggest impact.” In addition to its ML Engine for automated external data discovery and feature engineering, Explorium has released Signal Studio, a new product that enables data and business analyst teams to quickly find and integrate the most relevant external data signals to their analytics pipelines. “We’re seeing data become the new differentiator,” said George Mathew, Managing Director at Insight Partners. “AI and machine learning are already table stakes. Everyone has them. Competitive advantage will depend not just on the quality of your models but on the diversity of data fueling those models, making Explorium a unique proposition for data scientists and analysts alike.” “As we saw last year, machine learning models and tools for advanced analytics are only as good as the data behind them. And often that data is not sufficient,” said Maor Shlomo, CEO at Explorium. “We’re addressing a business-critical need, guiding data scientists and business leaders to the signals that will help them make better predictions and achieve better business outcomes.” About ExploriumExplorium provides the first External Data Platform to improve Analytics and Machine Learning. Explorium enables organizations to automatically discover and use thousands of relevant data signals to improve predictions and ML model performance. Explorium External Data Platform empowers data scientists and analysts to acquire and integrate third-party data efficiently, cost-effectively and in compliance with regulations. With faster, better insights from their models, organizations across fintech, insurance, consumer goods, retail and e-commerce can increase revenue, streamline operations and reduce risks. Learn more at www.explorium.ai. About Insight PartnersInsight Partners is a leading global venture capital and private equity firm investing in high-growth technology and software ScaleUp companies that are driving transformative change in their industries. Founded in 1995, Insight Partners has invested in more than 400 companies worldwide and has raised through a series of funds more than $30 billion in capital commitments. Insight’s mission is to find, fund and work successfully with visionary executives, providing them with practical, hands-on software expertise to foster long-term success. Across its people and its portfolio, Insight encourages a culture around a belief that ScaleUp companies and growth create opportunity for all. For more information on Insight and all its investments, visit insightpartners.com or follow us on Twitter @insightpartners. Media contactTheresa Carper415 848 9175 explorium@firebrand.marketing

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Rosetta Stone English from Lexia Learning, a Cambium Learning Group company, was named the winner of a Gold Stevie Award in the ELL/World Language Acquisition Instructional Solution category in The 19th Annual American Business Awards . The American Business Awards are the U.S.A.'s premier business awards program. All organizations operating in the U.S.A. are eligible to submit nominations – public and private, for-profit and non-profit, large and small. Nicknamed the Stevies for the Greek word meaning "crowned," the awards will be virtually presented to winners during a live event on Wednesday, June 30. More than 3,800 nominations – a record number – from organizations of all sizes and in virtually every industry were submitted this year for consideration in a wide range of categories.