Generative AI transforms the role of the CIO, making them a central figure in driving innovation, strategy, and decision-making within organizations.
Search Results: ai data quality (585)
Understanding why ethical AI and explainable AI are foundational elements to generative AI is critical to moving forward.
New updates to Informatica’s Intelligent Data Management Cloud (IDMC) demonstrate the profound impact that AI has on data access and data-driven innovation.
Informatica used its annual customer conference to detail development work that infuses Generative AI into core products, while adding partnerships with cloud hyperscalers.
Organizations must understand how to optimize both non-generative and generative AI to unlock value across operations.
Four-time CEO Tony Uphoff shares a five-part framework for leaders to operationalize data at their organizations.
Leaders who can harness and act on intelligence will win bigger, and faster, in today’s world of data ubiquity, writes Scott Vaughan.
Vanenburg CEO Ardjan Baan shares how the company’s Google Cloud partnership helps customers gain value and actionable intelligence from data.
The human element plays a vital role in generative AI outcomes – particularly, human intelligence and creativity.
As mainframe systems are becoming outdated, Wayne Sadin and Adam Meyer discuss how Qlik provides analytics and data migration solutions for modernization.
With DroidGPT, Endor Labs applies generative AI to software development to ensure open-source packages are current and secure.
From education to the creator economy, few sectors are immune to the disruptive effects of generative AI, but different generations look at (and must approach) the technology differently.
By integrating generative AI with automation, industries can provide personalized customer experiences and meet shifting market conditions.
Wayne Sadin explains organizations can make the most of their big investments in generating and acquiring data with the help of SaaS data lakehouses.
Microsoft’s updates to its Azure AI Services for Health and Healthcare Cloud, set to be previewed at the HIMSS conference this week, signal a transformative leap forward.
Data quality impacts decision-making, efficiency, productivity, and customer experience; all business leaders must assign it a high priority.
End users with little to no IT background can learn data engineering and data science with the help of low-code/no-code platforms, but they must understand foundational aspects of the fields to avoid creating messy situations.
As a business leader today, your success relies on accurate data, real-time analytics, and actionable intelligence. Here are the tools to help you.
ESG data can be used to support sustainability in healthcare, but it’s not without its challenges and opportunities for C-suite leaders.
By leveraging environmental, social, and governance data, healthcare providers can optimize resource use, minimize waste generation, and enhance patient outcomes.