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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