Datacentrix

Find the latest for Datacentrix company news

Agentic AI: Reshaping Enterprise Data Management with Intelligent Collaboration

Dattatreya Raychowdhuri's innovative data management approach marks a transformative shift toward intelligent enterprise ecosystems

Credit where credit's due: Inside Experian's AI framework that's changing financial access

Experian's enterprise AI framework offers valuable lessons for businesses seeking to scale beyond proof of concept.

Zenoti bets big on AI as profitable software maker expands beyond beauty sector and into gyms

Zenoti has hired several new execs over the past year, including Chief Financial Officer Sean Blitchok; Chief Customer Officer Steve Hudek; and Senior VP of Marketing Doug Sechrist. In 2023 it added Neal Singh, former chief operating officer at Icertis, as president and COO.

Anthropic And Databricks Team Up To Help Customers Launch Their Own AI Agents

The deal will bring flagship model Claude, to thousands of corporate customers, including Comcast, Conde Nast and Block.

Datadog, Inc. (DDOG) Positioned to Benefit from AI Software Growth

We recently published a list of Top 10 Trending AI News Updates Investors Should Not Miss. In this article, we are going to take a look at where Datadog, Inc. (NASDAQ:DDOG) stands against other top trending AI news updates investors should not miss.

Qi implements Generative AI and Cloud technology from Genesys

Qi enhances its customer service with Genesys' Generative AI and Cloud technology, achieving an 80% reduction in response time and 60% telecom cost savings.

Quantexa nabs $175M at a $2.6B valuation to double down on data analytics for AI

London startup Quantexa has made its name over the years with an enterprise platform that employs AI and data analytics to fight money laundering and

Nexla enhances integration platform with agentic AI, no-code pipelines and data marketplace

Data integration platform provider Nexla Inc. today announced an update to its Nexla Integration Platform that expands no-code generation, retrieval-augmented generation or RAG pipeline engineering, and data governance capabilities to make enterprise-grade generative artificial intelligence accessible to everyone.