Artificial intelligence is advancing faster than most organizations can govern it. As enterprises race to keep pace, a focus on smart governance is emerging to balance AI innovation with necessary oversight. For many enterprises, the belief is that for artificial intelligence to truly thrive, its risks must be managed and trust must be built through ...

The increasing complexity of governance, risk and compliance, or GRC, often leaves internal audit teams caught up in manual processing, preventing them from taking on more strategic roles in the business. Enterprises are in need of a connected risk platform to automate busywork and raise productivity. To address this demand, AuditBoard Inc. is integrating new ...

Artificial intelligence is ushering in a new era where a robust AI data strategy is paramount. Companies are focusing on building smarter, more connected systems that make data easier to deploy for the next wave of innovation. That AI data strategy transition was a major focus of theCUBE’s coverage of NetApp INSIGHT. AI has graduated ...

Business auditing is undergoing a major transformation. While financial accuracy and regulatory compliance remain front and center, auditors are increasingly taking advantage of artificial intelligence to shift their focus from being primarily compliance checkers to delivering strategic value. Snowflake Inc., a cloud-based data platform provider, finds itself at the center of this shift. The company ...

Financial services teams are starting to test agentic artificial intelligence in targeted workflows. Underpinning these experiments are application programming interfaces, bringing API governance into focus. Standardizing middleware, defining service ownership and enforcing identity across APIs is increasingly viewed as a prerequisite for an industry-wide shift, according to Rishi Singh (pictured), vice president and head of ...

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 ...