Michael Vizard

The alliance will enable IT teams to design and operationalize data pipelines for Big Data workloads using visual tools without having to write code.

Despite the perception that AI is more hype than reality right now, a wide majority of companies are looking to more aggressive adoption of AI.

Organizations must determine precisely which types of processes will benefit most from an injection of machine and deep learning algorithms.

Oracle Enterprise Manager now provides analytics and monitoring tools plus a single dashboard to manage Oracle database environments on multiple clouds.

Eveline was developed based on the personal experience of Eveline co-founder and CTO Carson Chen and his wife.

As more AI models are built and deployed, organizations will need to continuously document how each update changed the model’s behavior.

The first realization of that effort is a new AI Catalog from DataRobot, which makes it easier for business analysts and citizen data scientists to prepare data for machine learning.

To address latency challenges organizations are adopting streaming processing engines, in-memory computing database, and soon 5G wireless services.

The goal of the strategy is to make it simpler for IT organizations that are building stateful applications to mix and match databases as they best see fit.

The decision to build Splunk DSP and acquire Streamlio is being driven by the increased need to respond to events in real time.

Via this initiative IBM is hoping to make it simpler for organizations to build and deploy innovative financial services applications using a common pool of data, while simultaneously reducing their governance and compliance costs.

While real-time analytics is clearly on the rise, no one should expect the need for batch-oriented data warehouses to decline any time soon.