Sponsored Content
Sponsored content is a special advertising section provided by IT vendors. It features educational content and interactive media aligned to the topics of this web site.
A Guide to Unlock the Power of Private AI
Private AI is a powerful solution enabling businesses to access the insights provided by artificial intelligence securely while maintaining full control of data. While the benefits are compelling, companies must first undertake the necessary groundwork to capitalize on private AI. Explore this site to understand how private AI transforms operations across industries and how companies responsibly incorporate it into their business practices.
-
Yellowfin joins GenAI fray, launches new NLQ capabilities
The longtime BI vendor is the latest to add generative AI-powered natural language query capabilities aimed at enabling more ...
-
Tableau enters the agentic AI era with the launch of Next
The new platform features agents addressing needs such as data preparation and natural language-based analysis, and includes a ...
-
AI tests limits of data privacy regulation
OpenAI CEO Sam Altman spoke about where data privacy guardrails are needed and where there might be room to rework privacy ...
-
Policymakers look to state laws for federal data privacy law
Twenty U.S. states have adopted comprehensive data privacy laws, meaning that businesses face a complex network of laws with ...
-
7 data cleansing best practices
Organizations rely on data for analytics and decision-making, but if that data is flawed, inconsistent or otherwise unreliable, ...
-
Unified databases: A powerhouse behind generative AI success
Unified databases support generative AI (GenAI) by integrating all data types into a single platform, streamlining infrastructure...
-
4 common challenges of supplier relationship management
Problems with suppliers can affect a company's supply chain and, eventually, its bottom line. Learn some of the best ways to ...
-
ERP customers seek answers to AI questions before investing
ERP customers say yes to AI investments, as long as they can realize efficiency and productivity gains.