![]() “The prediction models learn patterns from the employee data or organizations and synthesize them into easy-to-understand and actionable information. He also said Visier provides proven ML predictions that have been verified across hundreds of enterprises. He said Visier uses AI to enrich the data of an organization with standardized information, enabling organizations to better compare and understand trends over time. Wong said Visier develops its solution with a combination of Scala, Angular, open-source algorithms and proprietary technologies. Ryan Wong, cofounder and CEO at Visier, told VentureBeat that Visier provides solutions that relay fast, accurate people data so businesses can enhance productivity and performance, increase employee satisfaction and retention, ensure profitable career planning and ethically upgrade future decision making. To achieve better team and business management outcomes, leaders need to start by asking the right questions about their workforce. ![]() ![]() (also Visier) is a HR analytics platform offering cloud-based solutions for workforce analytics and workforce planning. He said DataStax uses modern APIs that allow developers to skip the complexity of multiple OSS projects and APIs that don’t scale.ĭataStax claims its modern data APIs “power commerce, mobile, AI/ML, IoT, microservices, social, gaming and interactive applications that must scale-up and scale-down based on demand.” Kapoor noted that DataStax has an edge over other players in the industry because it’s only open stack that unifies data in motion and data at rest for real-time use, available on any cloud and with pay-as-you-grow pricing. Kapoor said these developers continue to tap the power of advanced event streaming technology based on Apache Pulsar to act instantly on data, drive dynamic customer experiences and take advantage of ML and AI - all on a single data stack that works. The company’s open stack helps developers easily build real-time applications that run their businesses. Companies like Verizon, Audi, ESL Gaming and many others are using DataStax solutions - including DataStax NoSQL cloud database, Astra DB and unified event streaming technology, Astra Streaming - to build real-time, high-scale applications that power their businesses.Īccording to DataStax Chairman and CEO, Chet Kapoor, DataStax provides an open stack for all the real-time data built on the world’s most scalable database (Apache Cassandra) and the most advanced streaming technology (Apache Pulsar), in an open, cloud-native architecture. Some of the leading digital services used daily for streaming, gaming, social networks, ecommerce and many others are built on DataStax. Real-time data company, DataStax, says it helps enterprises unleash the value of real-time data to quickly build the smart, high-growth applications required to become data-driven businesses. Each company is ranked by its total funding to date, with quotes and metrics supplied during interviews with VentureBeat. Here are 10 AI startups that are demonstrating upward growth trajectories in a fast-paced market and whose CEOs have articulated to VentureBeat over the past few months a broader context to their key differentiators, strategies and traction.īelow are vital details on these 10 AI startups that are worth watching across diverse industries, including retail, finance, cybersecurity, devops and more. But which startups in the ever-evolving AI startup space might require a closer look for enterprises? ![]() ![]() Many players in the ecosystem are jostling to lead the pack with enough investment dollars. Another State of AI report from CBS Insights last year said AI startup funding hit a record high of $17.9 billion in Q3. A report published last month by Statista showed the number of AI-focused startups worldwide was 3,465 in 2018, with 1,393 in the U.S. ![]()
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