Michael Vizard

Talend has been on a building and buying spree to bolster its iPaasS offering.

Cloudera’s new edge offering will make it simpler to manage streaming data being generated by networked IoT devices.

In a world where compute costs are being driven down by hyperscale cloud, do the capabilities of AI mean compute demand will still outstrip supply?

Adobe plans to offer more tools aimed at helping their clients improve their real-time customer engagements in the coming year.

With its Watson AI technologies, IBM plans to bet on both sides of the “buy versus build” debate.

By adding Stitch’s data loading capabilities, Talend looks to make life easier for those considering a move to the cloud.

Data management across cloud platforms could be the driver of this huge merger but will it answer the market’s questions?

At their OpenWorld event this year, Oracle laid out a machine learning and blockchain -driven cloud effort for their clients.

The firm’s goal is to allow application development by providing a cloud service through which data pipelines can be managed.

SAP will advance their existing machine learning capabilities of cloud for robotics process automation.

Mastercard’s new partnership is designed to leverage analytics make B2B transactions faster and easier.

Cisco’s new rack server shows the firm thinks that their clients’ AI development won’t necessarily be cloud-based.