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.

WIRE)--Experian's best-in-class digital credit risk decisioning solutions have garnered industry-wide recognition, winning two recent awards focused on application excellence in artificial intelligence. Experian prides itself on using data and new technologies that solve real-world problems for businesses and consumers. "We are proud to be recognized by two prestigious institutions for our work with artificial intelligence," said Steven Wagner, Global Managing Director, Experian Decision Analytics. "Experian remains dedicated to using the latest in advanced analytics to help businesses build and protect trusted relationships with customers." Experian Decision Analytics was recognized as a winner of the Artificial Intelligence Excellence Award program by Business Intelligence Group for its credit and collections decisioning solution, PowerCurve, which features intelligent agent-customer assist that processes complex, regulated, and subjective interactions with customers, revolutionizing how they digitally interact, on their terms, with lenders.

DENVER--(BUSINESS WIRE)--Veritone, Inc. (NASDAQ: VERI), the creator of the world's first operating system for artificial intelligence, aiWARE, today announced that Business Intelligence Group has named Veritone as a winner in the 2021 Artificial Intelligence Excellence Awards for its patented suite of real-time AI-powered Veritone Energy Solutions. Launched in the fall of 2020, Veritone's energy solutions optimize smart grid energy distribution by continuously knowing how much of what type of energy to deliver where, providing grid resilience and autonomous microgrid management when portions of the grid fail, and optimal economic dispatch during normal operations. The solutions deliver supply/demand forecasting, energy smoothing and optimization, DER synchronization and predictive control, energy arbitrage, and smart grid simulation. The solutions collect current weather forecast data, energy demand, and pricing data, and detect the current state and capacity of all energy devices, to intelligently determine the ideal energy supply mix and pricing to meet grid demand, in real time. Utilities and developers can now deliver profitable renewable energy with unparalleled grid efficiency and resiliency.

Weak, stolen, or reused passwords are the #1 cause of data breaches and hacks. This is why it's essential for people and businesses to have a different password for every account--ensuring if one is breached other accounts remain secure. Yet research shows that password reuse is real; a recent Verizon study revealed nearly 70% of people admitted to reusing passwords. Password Changer seamlessly logs users into compatible websites, generates strong, unique passwords, then changes the passwords for those sites on the user's behalf in one-click. Now, Password Changer has been rebuilt from the ground up to improve its reliability and website coverage.

Cuyahoga Falls, Ohio, May 13, 2021 (GLOBE NEWSWIRE) -- Bespoke AI-driven predictive models have traditionally been expensive and normally have taken months to create and deploy, making them the exclusive domain of only the largest financial institutions. Community banks and credit unions have been at a major competitive disadvantage in using predictive analytics and AI to drive business decisions. Segmint, the global leader in transaction cleansing and analytics for financial institutions, announced the launch of its industry leading AI Platform, a cloud-based and always-on predictive modeling engine which can build and deploy custom predictive models for any financial institution within two weeks. Segmint's AI Platform delivers predictive models at incredible speed and scale, using insights that describe the full universe of customer data. The AI Platform boasts seamless data integration with multiple cores where data flows into the models on a daily basis, continuously updating the insights.

European network of health innovators, EIT Health has today launched an AI report from its Think Tank, outlining the need for a post-pandemic technological transformation to strengthen EU health systems over the next decade. The'Healthcare Workforce and Organisational Transformation with AI' report identifies key focus areas that need to be addressed at an EU and national level, during the COVID-19 pandemic, in order to maximise the potential of AI and technology in healthcare. As life expectancy increases, healthcare systems face increasing demand, with patients having more complex needs, costs rising and the workforce struggling to meet demand. EIT Health predicts that without major structural and transformational change, healthcare systems will become unsustainable, and the European vision of universal healthcare will be threatened. Key recommendations from the report include improving collaboration and exchange of best practice across the EU, building on existing networks and infrastructures to support AI integration, improving education and skills, and developing value-based financial models that incorporates AI.