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Tag: experimentation

Kyvos Exec: Semantic Layers are Critical for Enterprise AI

As enterprises move from AI experimentation to production deployments, questions around data consistency, governance, and scalability are becoming increasingly important.  Many organizations have invested heavily in modern data platforms, yet AI systems still struggle to deliver reliable outcomes when business context is fragmented across tools and datasets. Pratik Jain, Senior Director of Technology at Kyvos…

Hyland platform innovations focus on AI governance, context, and agent oversight

Hyland has unveiled platform innovations designed to move AI from experimentation to enterprise-wide adoption. Powered by the Content Innovation Cloud, these advancements transform governed enterprise content into trusted, actionable intelligence that accelerates business outcomes. To meet the demands of global organizations, Hyland announced the general availability of the Enterprise Context Engine and introduced industry-specific ontologies…

PwC: SAP AI Strategy Shifts Toward Enterprise Execution

SAP’s latest AI announcements at Sapphire are landing as enterprise customers move beyond experimentation and begin demanding measurable returns, stronger governance, and scalable operational outcomes from AI investments. Patrick Pugh, global and U.S. alliances leader at PwC, told Channel Insider that the event reflected a broader shift in the SAP market: enterprises are increasingly embedding…

SAS makes AI governance the centerpiece of its agent strategy

Enterprises are quickly moving from AI experimentation to deployment, however, when agentic AI begins making more decisions, invoking more tools, and operating across fragmented data environments, there can be an erosion of visibility, governance, and trust. SAS laid out its answer to that problem at its annual conference, SAS Innovate, introducing a new family of…

Webinar: The IT Leader’s Guide to AI Governance

Generative AI is moving from experimentation to everyday enterprise use, often faster than governance models were designed to support. As adoption accelerates, organizations are navigating the evolving landscape with new questions around security, data privacy, compliance, and control, all while being asked to enable innovation at speed. This 30 to 35-minute conversation offers practical perspectives…

Deterministic + Agentic AI: The Architecture Exposure Validation Requires

Few technologies have moved from experimentation to boardroom mandate as quickly as AI. Across industries, leadership teams have embraced its broader potential, and boards, investors, and executives are already pushing organizations to adopt it across operational and security functions. Pentera’s AI Security and Exposure Report 2026 reflects that momentum: every CISO surveyed

The AI inflection point: What security leaders must do now

AI is no longer a speculative topic for security leaders. It has moved from experimentation to implementation, and increasingly, to measurable production impact. Over the past year, my conversations with CISOs have shifted. The question is no longer whether AI belongs in cybersecurity; it’s about deploying it responsibly, strategically and at scale. For security leaders,…

From Big Data to Smart Data: Why Australian CIOs Must Rethink AI Efficiency and Accuracy

COMPANY OPINION: Artificial intelligence has quickly moved from experimentation to executive priority across Australian organisations. Boards are asking how AI can reduce cost, improve productivity, and deliver better citizen and customer outcomes. Yet many CIOs are discovering an uncomfortable truth: AI initiatives are not failing because of weak algorithms. They are failing because of poor…