All the sessions from Transform 2021 are available on-demand now. Dremio today launched a cloud service that creates a data lake based on an in-memory SQL engine that launches queries against data stored in an object-based storage system. The goal is to make it easier for organizations to take advantage of the data lake, dubbed Dremio Cloud, without having to employ an internal IT team to manage it, said Tomer Shiran, chief product officer for Dremio. An organization can now start accessing Dremio Cloud in as little as five minutes, he said. Based on Dremio's existing SQL Lakehouse platform, the Dremio Cloud service runs on the Amazon Web Services (AWS) public cloud.

Artificial intelligence (AI), machine learning, deep learning – all terms casually tossed about over recent years to paint a vision of a future only seen in Hollywood movies. But 2018, experts say, is the future -- the year when AI will start to dominate devices both at home and at work. Simply put, there will be less talk and more action as all energies sunk in investment and research and development of newer applications of AI start producing results in 2018. "Results are starting to appear beyond computers learning to beat humans at board games and TV game shows," said Bernard Marr, bestselling author and industry expert. "I expect 2018 to provide a continuous stream of small but sure steps forward, as machine learning and neural network technology take on more routine tasks."

"Basic analytics are out; machine learning (and beyond) are in," says Kenneth Sanford, U.S. lead analytics architect for collaborative data science platform Dataiku, as he looks back on 2017. Sanford says practical applications of machine learning, deep learning, and AI are "everywhere and out in the open these days," pointing to the "super billboards" in London's Piccadilly Circus that leverage hidden cameras gathering data on foot and road traffic (including the make and model of passing cars) to deliver targeted advertisements. So where will these frameworks and tools take us in 2018? We spoke with a number of IT leaders and industry experts about what to expect in the coming year. AI is already here, whether we recognize it or not.

"Basic analytics are out; machine learning (and beyond) are in," says Kenneth Sanford, U.S. lead analytics architect for collaborative data science platform Dataiku, as he looks back on 2017. Sanford says practical applications of machine learning, deep learning, and AI are "everywhere and out in the open these days," pointing to the "super billboards" in London's Piccadilly Circus that leverage hidden cameras gathering data on foot and road traffic (including the make and model of passing cars) to deliver targeted advertisements. So where will these frameworks and tools take us in 2018? We spoke with a number of IT leaders and industry experts about what to expect in the coming year. AI is already here, whether we recognize it or not.