Compute engines for AI : Key trends in data platforms
It’s been a year since the Hurricane Hurricane started, but it has changed significantly in the use of database services, according to analysts at the CUBE Research and SiliconAngle. Why are they changing the way their data services are being built on different platforms for different use cases, and what is the key drivers behind each. () The BBC looks at how it is getting ready for the next data platform event, Supercloud 7 - and how is it likely to be used for artificial intelligence (AI) applications? The latest trends have revealed that the world has seen changes in data use and the future of businesses using data apps and computer systems, as well as increasing use for remote areas of data computing, such as data storage, data management and software development? And what does it mean for cyber-security and cybersecurity? These are some of the biggest challenges in which developers are trying to develop algorithms that can be created by AI and automated systems designed to tackle these shifts, writes Rob Strechai and Sanjeev Mohan, who spoke to theCUBE research team on the Super Cloud 7 – including the Big Tech Advisors and research firms across the UK? What makes it possible to get ahead of this year s New Data Platform event in SanjMo and Databricks Inc. and Snowflock Inc, the BBC has learned about the impact of AI on data systems and its ability to use the data system and other technologies?
Source: siliconangle.comPublished on 2024-08-02
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