Time to Market is Everything – Make it Happen with DataOps
A DataOps approach is about breaking down the barriers between people, technology, tools, and data to gain context and drive
Google Looks to Accelerate AI App Development and Deployment
Google is trying to make it simpler for organizations to build and maintain AI applications at a time when there is often a disconnect between data scientists …
Microsoft: Our AI 99% Accurate At Detecting Security Flaws
Microsoft found that pairing machine learning models with security experts significantly improves the identification and classification of security
5 DevOps Trends That Demand Your Attention
DevOps today plays an increasingly important role as businesses must rapidly develop, deploy, and update applications to keep pace with ever-changing customer …
ST Telemedia Moves Into DataOps With Majority Stake In CloudCover
CloudCover provides cloud-based services for DevOps and DataOps
Four Intelligent Automation Methodologies – One Objective
The methodologies are complementary, have commonalities, require different skills, and should be part of the overall meta-iterations within a concerted digital …
Real-time Analytics News Roundup for Week Ending February 21
In the news this week: new edge servers and an ingestion and analysis platform for streaming edge data, an updated platform for automating the deployment and …
Artificial Intelligence Tools for Software Testing
AI has changed software testing for good, and it continues to improve the processes associated with software development and testing.
How Agile Procurement Accelerates Application Development
Excessive lead times in procurement cycles can impact company goals and slow the adoption of innovative applications that can improve customer
IBM Extends Scope of DataOps Portfolio
New IBM tools advance the state of DataOps by automating manual tasks that would have to be performed by a data