Remove exploring-the-gartner-critical-capabilities-for-data-integration-report-tools
article thumbnail

Exploring the Gartner® Critical Capabilities for Data Integration Report Tools

Data Virtualization

Reading Time: 2 minutes Gartner Critical Capabilities documents compare vendors across a set of designated capabilities, and they are meant to be read in conjunction with Gartner Magic Quadrant reports, for an understanding of how the different vendors compare. In this post, I’d like.

article thumbnail

The 10 Essential SaaS Trends You Should Watch Out For In 2020

datapine

“Software as a service” (SaaS) is becoming an increasingly viable choice for organizations looking for the accessibility and versatility of software solutions and online data analysis tools without the need to rely on installing and running applications on their own computer systems and data centers.

Software 314
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Generative AI in the Enterprise

O'Reilly on Data

As of November 2023: Two-thirds (67%) of our survey respondents report that their companies are using generative AI. AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. Two-thirds of our survey’s respondents (67%) report that their companies are using generative AI. What’s the reality?

article thumbnail

What gives IT leaders pause as they look to integrate agentic AI with legacy infrastructure

CIO Business Intelligence

According to a January KPMG survey of 100 senior executives at large enterprises, 12% of companies are already deploying AI agents, 37% are in pilot stages, and 51% are exploring their use. So its not surprising that 70% of developers say that theyre having problems integrating AI agents with their existing systems.

IT 141
article thumbnail

The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

datapine

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes.

article thumbnail

Going ‘AI native’ with in-house ChatGPT the MITRE way

CIO Business Intelligence

MITREChatGPT, a secure, internally developed version of Microsoft’s OpenAI GPT 4, stands out as the organization’s first major generative AI tool. And it enables research teams to analyze legislation and policy documents in record time, delivering plans for proposed changes to these critical agencies in a day rather than weeks.

article thumbnail

Cloudera Named a Visionary in the Gartner MQ for Cloud DBMS

Cloudera

We’re excited to share that Gartner has recognized Cloudera as a Visionary among all vendors evaluated in the 2023 Gartner® Magic Quadrant for Cloud Database Management Systems. Cloudera, a leader in big data analytics, provides a unified Data Platform for data management, AI, and analytics.