Gurucul GRA is a proven big-data security analytics solution that has been successfully deployed by government agencies and global Fortune 500 companies across the financial, healthcare, technology, retail and manufacturing sectors to detect and deter insider threats, account compromise and advanced external attacks. Customers include one of the world's largest Internet payment companies, a top 5 US health insurer, large financial services firms, and government agencies. Gurucul was the only vendor cited for meeting all five use cases outlined in the Market Guide for UEBA report by analyst firm Gartner: security management, insider threats, data exfiltration/DLP, identity access management, SaaS security, plus the extra qualifications for compliance and cyber fraud. Gurucul has received industry recognition for its innovations in security analytics, including 2016 SC Awards in the US and Europe for Best Behavior Analytics/Enterprise Threat Detection, being named SINET 16 Innovator in both 2014 and 2015, Gartner Cool Vendor 2014, winning the 2016 CDM award for Best Insider Threat Prevention Solution, and more. Product review of Gurucul GRA by SC Magazine: "This is, hands-down, the most sophisticated example of behavioral analytics we have seen to date.
Data science provides a venue that exercises the inquisitive mind. The opportunity to investigate new datasets and understand their value for a theory or model never ceases to fascinate and enthrall. That inquisitive nature -- the mission to understand what drives value in the commercial real estate (CRE) market -- runs at the core of what we do here at GeoPhy. It leads to the exploration and analysis of a wide variety of data. This variety and the unprecedented volume of data now available provide two of the conventional "V's" of big data , and make this quest both a compelling and complicated one -- like fitting together pieces of a puzzle.
Machine Learning is the new buzz word and AI is the slang word these days. What does happen in this exiting field in Europe? Is AI common ground for all businesses or the exclusive territory for a few? Who has managed to validate a business model for autonomous vehicles or chatbots?Whatdoesdata-drivenor API-firstbusinessmodelslook like? With this report we want to provide a comprehensive review of investment in startups and high-growth AI and Data Analytics companies across 22 countries in Europe.
According to TechSci Research report, "United States Artificial Intelligence Market, By Application, By Region, By End User Competition Forecast & Opportunities, 2011-2021", the artificial intelligence market in the US is projected to grow at a CAGR of 75% during 2016 - 2021 on account of growing artificial intelligence technology adoption in consumer electronic devices, research and developmental activities in healthcare industry, unmanned aerial vehicles, autonomous cars, etc. Moreover, venture capital investments in this sector, are in full swing, especially in the US. The country is witnessing numerous start-ups sprouting every year, backed by various angel investors and venture capitalists. Major venture capitalist active in the United States artificial intelligence market include Accel, General Catalyst Partners, GV, Work-Bench, Promus Ventures, Kleiner Perkins Caulfield & Byers, Khosla Ventures, Samsung Electronics, Wipro Technologies, Samsung Global Innovation Centre, Goldman Sachs, Bank of America Merrill Lynch, and Formation 8, among others. In 2015, western region of the United States dominated the artificial intelligence market of the country, on account of presence of major end users such as cyber security solution providers, healthcare institutes, government headquarters, etc., in the region.
Financial services incumbents along with early-stage startups and large tech companies are all competing in fintech. CB Insights CEO Anand Sanwal gave a 110-slide presentation at our fintech conference in New York. The full deck covered broad VC funding trends for fintech and the developments in large categories such as wealth management, blockchain, remittance tech, and insurance tech. On robo-advisors, Sanwal noted that market volatility has not necessarily been a boon to the category. "It's not all roses," he said. "There are headwinds … When market volatility picks up, people want to talk to an advisor." At the end Sanwal highlighted 9 trends we're watching that are generating excitement. The slides for those trends are included below. If you have questions, please use the hashtag. Use it on Twitter or on the mobile app, and I'll try to get to them. Please ask me easy questions only. If you like something about the presentation, please tweet it out. If you do not like something about the presentation, please just keep it to yourself. Let me jump in and we'll go through this pretty quickly, I think. So this is what we do, take lots of data and try to predict technology trends. You've seen this join the conversation piece. We have lots of great customers, many of whom are in the room.