Artificial intelligence (AI) specialists are increasingly optimistic about their job prospects, with nearly three-quarters planning to switch employers within the next year, according to a Dice report.
Although AI is rapidly becoming a crucial tool for data analysis, shaping some of the most significant trends in data programs over the past year, and just 12% of businesses say their data is AI-ready.
There is a significant disconnect between employers’ expectations for AI in the workplace and how employees are actually using it, according to a Slingshot/Dynata survey of 253 adults at U.S.-based companies.
Despite growing investment in AI and automation, enterprise satisfaction with AI solution and service providers lags other technologies, according to a report by Information Services Group (ISG).
Efficient data management practices, real-time data access and robust security […]
Accenture and Amazon Web Services (AWS) recently launched the Accenture […]
Businesses are grappling with increasing software costs, with nearly 80% reporting higher expenses over the past year, according to a Forrester report.
A critical factor for successful AI deployment is data liquidity, which enables organizations to seamlessly access, integrate and analyze data from diverse sources.
There is a strong consensus on the need for updated AI regulations and a pressing need for AI oversight, with many expressing skepticism about the current U.S. government approach.
At least 90% of U.S. business leaders are encouraging AI use or are confident in their ability to effectively harness its benefits, putting the country ahead of other leading nations in AI transparency and investment.
