As organizations race to operationalize artificial intelligence, application programming interfaces are becoming a hotbed of discussion. It is increasingly clear that the right API platform decides which enterprises lead and which fall behind. Agentic patterns demand real-time context, safe action-taking and tight feedback loops; all three break down if the substrate of APIs, identity and catalogs ...

Companies are moving toward flexible, secure data foundations that make them more versatile for artificial intelligence. At the same time, there’s a growing focus on stronger security and smarter automation to build trust and resilience as AI becomes central to operations. AI offers organizations the potential to boost productivity and unlock new business models and ...

Businesses are shifting toward data platforms driven by artificial intelligence and guided by a cloud-neutral strategy. To further AI’s success, enterprises are prioritizing clearer insight into their data and stronger protection against cyberthreats. The launch of NetApp Inc.’s new AI Data Engine comes into play with these trends in mind. Above all, it’s important to ...

As AI adoption accelerates, organizations are confronting an AI security chasm marked by new risks across data and models. The industry is responding by building AI systems that are secure and trustworthy from the ground up. Cybersecurity company Snyk Ltd. and its partners have sought to respond to these trends. Their focus is on closing the ...

Across the tech industry, the focus of artificial intelligence is shifting from building smarter models to securing consistent return on investment. To this end, companies are realizing that real AI ROI comes from using their data effectively to power AI at scale. Organizations are working to overcome barriers to realizing ROI from AI by focusing ...

The semiconductor industry is entering a new era defined by rapid advancements in artificial intelligence infrastructure, marking the rise of AI-era silicon. Companies across the value chain are transforming their development and production models to keep pace with the complexity and scale of next-generation computing. Such topics were in focus during theCUBE + NYSE Wired: ...

Artificial intelligence deployment and hybrid cloud adoption are changing the ways in which organizations use and manage data. The industry is moving toward unified, intelligent data systems that make operations simple, secure and scalable. However, organizations face growing challenges balancing AI data demands amid rapid technological developments. Data and storage professionals have emerged as the ...

Across industries, enterprises are embracing data, artificial intelligence and automation as catalysts for transformation. Effective data management can turn information into the lifeblood of a business, driving growth across operations. That potential holds just as true for sports franchises, which are turning to technology and data partnerships to drive innovation and enhance fan experiences. However, ...

Enterprises are moving toward usage-based and results-driven pricing as artificial intelligence becomes central to products and services. Real-time metering and flexible billing are enabling companies to track consumption instantly, manage costs more effectively and capture greater value from how their technologies are used. Monetization of application programming interfaces has existed for about a decade, but ...

The software industry is racing toward agent-driven systems powered by artificial intelligence. To optimize and scale them, companies are standardizing on robust infrastructure and on the Model Context Protocol with the hope that MCP will simplify integration across tools and data sources. Agents are rapidly becoming the next generation of integration platforms, connecting more tools ...