The everything-as-a-service movement is rearranging things for enterprises and consumers alike. The bundles of software-based service clouds in enterprise information technology can be difficult to integrate. And as more businesses switch to subscription models, they wind up with innumerable data points to track on the delivery journey. Naturally, many are yearning for a solution that herds everything neatly into ...

Automating away rote tasks with machine learning can do more than nibble down at super-sized business processes. When ML is embedded deep in the machinery of infrastructure, it can transform the jobs of people who use it and drastically impact business outcomes. For example, Oracle Corp.’s new database with ML automation will change the workdays of ...

How are the world’s richest startups born? They’re not born; they’re made. Wrought one bit at a time from a harebrained, middle-of-the-night idea. That’s how founders go from bootstrapping an air mattress on the floor of their apartment to becoming a serious threat to the hospitality industry. It’s not just persistence, but persistent pivoting that wins the race, ...

On track one, we have complicated technologies for hot new trends such as big data analytics and artificial intelligence. On track two are the growing number of tools that collapse these complexities into simpler abstractions — things like cloud services and serverless computing. The race is neck-and-neck, since no sooner is something simplified than something in its ...

Mission-critical apps on-premises, machine-learning apps on Google Cloud Platform, serverless apps on Amazon Web Services cloud — phew, it’s getting hectic in modern enterprise information technology. The number of clouds isn’t going to shrink anytime soon, so it would help if things like data backup and data management would fuse to keep the number of ...

A lot of companies are biting their nails thinking they’re not doing enough to modernize through cloud computing. They’re grasping at everything with cloud-infrastructure, cloud-based, cloud-service, cloud-native on the label. They want to be all-in on cloud, all the time. For them, David Hitz (pictured), founder and executive vice president of NetApp Inc., has a question: ...

There are many flavors of  partnerships in tech — some dismissed as optical deals or Barney deals. What does a real-deal, deep-engineering partnership look like? It looks like an osmosis between two companies’ portfolios that changes the way end-users consume and benefit from them. It looks like NetApp Inc.’s partnership with Microsoft Corp.’s Azure cloud. ...

On the zig-zag route to multicloud’s ultimate destination, it helps to have a Swiss Army knife on hand — a tool that can core an apple as easily as it can pop the lid off a bottle of Martinelli’s. For businesses migrating data, that tool would be data protection that spans on-premises and cloud environments and ...

Sure, every company these days wants to digitize everything and live as close to the cutting edge as Google LLC or Uber Technologies Inc. But do they have the necessary know-how in areas like artificial intelligence, deep learning, microservices, etc.? Most don’t, so they’re seeking vendors that have packaged Google-league brains and tech into ready-made, ...

Many companies out there are tired of sitting on their data waiting for it to hatch. When will computing services vendors come up with a solution that helps them turn a profit from data? First of all, the market’s driving technologies for big-data analytics and artificial intelligence aren’t exactly easy to master. But hybrid computing methods that bring analytics ...