AI governance

Agentic AI Signals a Shift to New Enterprise Operating Model

The rise of agentic AI is compelling executives to reassess whether AI merely enhances existing operations or fundamentally transforms their business models.

Data and Data Management

Beyond the Hype: 3 Structural Shifts Every SAP Leader Must Make In 2026

At this year's Digital Lounge @ Davos, over 200 leaders acknowledged the industry's shift from the allure of AI capabilities to focusing on data sovereignty, accountability, and governance as critical components for ensuring responsible AI implementation, underscoring the importance of addressing legacy data management and integrating AI within a broader risk landscape.

Analytics and AI

Public Sector ERP and AI Are Running on Two Clocks: Will That Gap Become a Strategic Risk?

Public sector technology strategy is conflicted by the slow, methodical pace of legacy system modernization, exemplified by the UK's Defence and Bank of England initiatives, contrasted with the rapid, high-profile push for AI and advanced computing, leading to a widening gap between ambition and execution.

Analytics and AI

Oracle NetSuite Expands Partner Program to Accelerate AI Innovation

Oracle NetSuite has expanded its partner program with a new SuiteApp.AI Marketplace, enhanced developer resources, and certification pathways to accelerate AI adoption in its ecosystem, enabling partners to create AI-driven applications that integrate with core ERP workflows, while promoting faster innovation and reducing complexity for customers.

Analytics and AI

Year in Review: ERP AI Integration Went from Promise to Performance in 2025

End users in 2025 stopped seeing AI as a futuristic buzzword for enterprise planning. What had long been pitched as a future differentiator finally began delivering measurable operational benefit this year. According to ERP Today’s reporting on the manufacturing sector, 82% of companies increased...

Business Process Management and Automation

Connected Construction: ERP Without the Bottlenecks

Cloud ERP is evolving into a critical operating system for construction and field service companies, enabling resilience, real-time decision-making, and lean operations, as evidenced by the experiences of Tester Construction, Tech Electronics, and Carlson LaVine Construction in their transitions to Acumatica.

Application Development and Integration

Inside Salesforce’s Agentforce Roundtable: How Did Leaders Really Use AI Agents in 2025?

Executives are shifting their focus from the hype of AI to practical implementation, emphasizing the importance of data activation, hybrid reasoning models, and effective change management to ensure AI agents deliver value in real-world applications.

Cloud Platform and Technology

Cloud Security Has Hit a Speed Wall as AI, Multicloud Outpace Defenses

The December 2025 Palo Alto Networks State of Cloud Security Report reveals that cloud security is lagging behind the rapid growth and complexity of modern IT, with a critical emphasis on identity risks and the urgent need for integration of security operations to protect increasingly vulnerable cloud systems.

ERP Strategy and Planning

Five Risks SAP Leaders Can No Longer Ignore in 2026

As SAP vulnerabilities surge and attackers exploit weaknesses swiftly, organizations must prioritize automated security measures and cloud responsibility models while addressing legacy systems and integrating SAP into broader security operations to mitigate risks and safeguard critical business processes.

Analytics and AI

Agentic AI Defined and How It Is Reshaping the Enterprise Architect’s Role

The rise of agentic AI in enterprise applications is transforming the role of architects from static designers to dynamic overseers, requiring new workflows and governance models as AI increasingly undertakes decision-making tasks historically handled by humans.

Enterprise Architecture

UK Enterprises Gain New Control over AI with BT’s Sovereign Deployment Platform

BT has launched a new sovereign platform designed to enhance UK control over AI and cloud workloads, providing a secure domestic environment for data residency and compliance, in alignment with national strategies while preparing for future sovereign services.

Analytics and AI

Strong AI Governance is Critical to Responsible Enterprise Deployment

As companies rapidly adopt generative and autonomous AI technologies, effective governance has become essential to mitigate risks such as accuracy, bias, and compliance, necessitating executive oversight and coordinated efforts across various departments to ensure trust and accountability in AI deployments.

Analytics and AI

From SAP Sapphire 2025: Joule Everywhere – How SAP Is Making Business AI Omnipresent and Proactive

SAP's upcoming Joule Everywhere update in 2025 integrates generative AI agents across its entire ecosystem, enabling intelligent co-piloting and seamless decision-making within workflows while enhancing security and governance.

ERP Strategy and Planning

Beyond the Blue Button: Building Operational Resilience and Enabling Responsible AI Governance

Organizations must enhance their resilience by improving risk visibility and aligning technology initiatives with business outcomes, while also establishing a culture of accountability and responsible AI governance to navigate the complexities of cyber threats and innovation.

Analytics and AI

Empowering Your Business with AI: Key Features in ServiceNow’s Yokohama Release

The Yokohama release of ServiceNow introduces innovative AI features, including an AI Governance Module for secure deployment, Now Assist for ATF and eBook Generation to boost operational efficiency, and Spoke Generation along with Table Summarization to enhance integration and data insights, thereby empowering business technology decision-makers to optimize their AI initiatives.

Analytics and AI

Engineering Trust in the Heart of AI

Insights from PWC’s UK Head of AI Public Policy and Ethics.

Analytics and AI

IBM and e& collaborate to enhance AI ethics and compliance

e& partners with IBM to create a multi-model AI governance solution aimed at enhancing AI compliance, ethical oversight, and transparency, leveraging IBM's watsonx.governance platform to address risks and optimize AI performance as part of their ongoing collaboration.