2016 Automation Big Data 
AI News
NOVEMBER 20, 2024
Salesforce is now stepping up its AI game with Agentforce, a platform that lets businesses to build and deploy digital agents to automate tasks such as creating sales reports and summarising Slack conversations. In 2016, it launched Einstein, an AI feature baked into its CRM platform. What problem is it solving?
AI News
JULY 12, 2024
In 2016, SoftBank controversially acquired British chip designer Arm in a much larger deal. See also: PC market finds new momentum amid AI interest Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London.
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AI News
OCTOBER 24, 2024
billion was secured in private investment since 2016, with investments made in 52 unique industry sectors compared to 35 sectors in 2016. Photo by John Noonan ) See also: EU AI Act: Early prep could give businesses competitive edge Want to learn more about AI and big data from industry leaders? In 2022, £18.8
AI News
MAY 28, 2024
We launched the Atera all-in-one platform for IT management in 2016, so quite a few years ago. It’s everything from technical things like patching and security to ongoing support, alerts, automations, ticket management, reports, and analytics, etc. Want to learn more about AI and big data from industry leaders?
AI News
JULY 12, 2024
In 2016, SoftBank controversially acquired British chip designer Arm in a much larger deal. See also: PC market finds new momentum amid AI interest Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London.
AI News
AUGUST 29, 2023
Analysts and thought leaders almost universally urge the importance of the CEO being actively involved in data initiatives. But what gets buried in the small print is the acknowledgement that many data projects never make it to production. In 2016, Gartner assessed it at only 15%. Yet this leads into another important point.
DataRobot Blog
APRIL 29, 2022
With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. The stakes in managing model risk are at an all-time high, but luckily automated machine learning provides an effective way to reduce these risks.
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