Building a cross-cloud operational model can be a daunting task. Per-cloud silos are not the answer, but neither is a fully generic abstraction plane that strips out capabilities unique to a particular provider. In his session at 20th Cloud Expo, Chris Wolf, VP & Chief Technology Officer, Global Field & Industry at VMware, will discuss how successful organizations approach cloud operations and management, with insights into where operations should be centralized and when it s best to decentralize.
IBM Corp announced on Tuesday that some of its Watson artificial intelligence services will now work on rival cloud computing providers as it seeks to win over customers that want greater flexibility in how they store and analyse data. The announcement builds on IBM's moves to position its services as compatible with nearly any form of computer infrastructure a customer wants to operate. Other efforts include a pending acquisition of open-source software company Red Hat for $34 billion. With the change, companies will be able to use Watson AI tools such as Watson Assistant, which can help them develop conversational services such as a virtual customer service agent, in mobile apps hosted on Amazon.com "With most large organizations storing data across hybrid cloud environments, they need the freedom and choice to apply AI to their data wherever it is stored," Rob Thomas, general manager of IBM Data and AI, said in a news release on Tuesday as it opened "Think," its annual conference in San Francisco to showcase new technology.
This is a rare example of Amazon chasing rather than leading in public cloud computing, the business of renting out computer power, storage and related services over the internet. In March, Google released a wide range of cloud services centered around a type of AI known as machine learning, which the internet giant has used internally for years.
Last time I looked at the technology clusters that could make you money in 2017. I discussed intelligent systems technology, interaction technology, small software technology, sensor analytics technology and cyber security technology – all pretty good bets. I identified these five as technology areas that should yield some nice returns in 2017 and beyond. While I'm not a stock picker or a professional investor, I suggested – based on technology trends research we conduct on an ongoing basis – some technology clusters that should yield solid returns over time. But the same research suggests that there are some areas you might want to avoid.