Enterprise AI

Google Cloud Partnerships: Gemini Enterprise Pushed Deeper into Workday and IBM Delivery

Google Cloud is advancing Gemini Enterprise into enterprise AI through expanded partnerships with Workday and IBM, focusing on integrating HR and finance agents into workflows and enhancing delivery capacities with industry-specific solutions.

Databricks and SnowflakDatabricks vs Snowflake enterprise AI data war lakehouse architecturee battle over AI and data

Analytics and AI

Databricks’ $134B Valuation Puts the Enterprise AI Data War in Focus

Databricks is signaling a pivotal shift in enterprise AI spending towards essential data platforms for effective model utilization, highlighted by its recent $7 billion funding round and competition with Snowflake to manage data for analytics and agentic AI.

Analytics and AI

SAP Sapphire Interviews: SAP Executives Say AI Is Pushing ERP Back to the Center of Business Strategy

At SAP Sapphire 2026, Maura Hameroff and David Vallejo emphasized that AI is transforming ERP systems into strategic business frameworks that enhance enterprise decision-making by integrating industry knowledge and addressing fragmented data, thereby enabling companies to efficiently navigate modern challenges in supply chain management and overall business operations.

image of Workday office surrounded by blue skies | Compa

Analytics and AI

Workday’s AI Agent Push Started Showing Up in its Q1 Earnings Numbers

Workday's Q1 fiscal 2027 results demonstrated strong revenue growth and increasing adoption of AI agents, reassuring investors that AI can enhance rather than undermine subscription software economics.

Analytics and AI

ServiceNow’s Next Knowledge 2026 Message: Governed AI Has to Reach the Frontline

ServiceNow's Knowledge 2026 initiative emphasizes a governance layer for AI and security, with tools like Otto, an AI-driven interface designed to streamline enterprise workflows for employees and operators, enhancing user experience across systems while integrating deeper operational capabilities.

Analytics and AI

SAP Sapphire Madrid Customer Keynote: Enterprise AI Value Depends on Business Ownership

The SAP Sapphire Madrid keynote highlighted the shift in AI discussions from announcements to operational integration, emphasizing that AI's value relies on governance, user trust, and practical implementation within business processes, as showcased by various case studies from companies like Ericsson, Fonterra, and EssilorLuxottica.

Analytics and AI

ServiceNow Repositioned Around AI Security and Governance at Knowledge 2026

ServiceNow positions itself as a governance and action layer for enterprise AI, launching Autonomous Security and Risk, enhancing the AI Control Tower for comprehensive governance, and making its Action Fabric available to external agents, amidst a backdrop of growing financial momentum and challenges in broad adoption.

Analytics and AI

SAP Sapphire Customer Keynote Shows AI Value Depends on Readiness, Data, and Standardization

At SAP Sapphire 2026, the customer keynote made a definitive case: AI value in the enterprise depends on readiness, data standardization, and clean core ERP foundations—not experimentation. Through transformation stories from Lockheed Martin, ExxonMobil, Levi Strauss, and Aeropuertos Argentina, SAP reinforced that organizations succeeding with AI have built the operational and data infrastructure to support it on SAP S/4HANA and BTP.

Workday office building | Workday and Groundswell take US federal agency to the cloud

Analytics and AI

Workday’s Moat Is Real—But AI Is Testing Its Limits

Two analysts offer diverging views on Workday's long-term viability, with Joe Schmidt suggesting that AI may erode the structural switching costs that currently protect it, while Josh Bersin argues that Workday's established frameworks position it favorably as AI evolves, highlighting a critical market shift towards architectural effectiveness in ERP and HCM systems.

Analytics and AI

SAP Targets Data and Model Gaps with Dremio and Prior Labs Acquisitions to Advance Enterprise AI Architecture

SAP aims to enhance enterprise AI by acquiring data platform Dremio and AI research firm Prior Labs, addressing fragmented data environments and improving model performance on structured business data, thereby integrating data infrastructure and AI model development into a unified architecture.

SAP earnings results showing cloud revenue growth, current cloud backlog, and Business AI strategy

Analytics and AI

SAP Q1 Earnings Shows Cloud Strength, but Can the AI and Backlog Momentum Hold?

SAP delivered a Q1 earnings beat, but the more important story was beneath the headline numbers. The company showed strong cloud growth and expanding backlog, while also signaling likely deceleration ahead and a gradual shift toward Business AI as a consumption-based revenue model.

Analytics and AI

Workday Advances ‘Lights-Out Finance’ Vision with Autonomous Financial Testing Tool

Workday is advancing its “lights-out finance” vision with an AI-driven Financial Test Suite that continuously detects fraud and anomalies before transactions are completed.

Analytics and AI

Oracle’s AI Pivot Is Reshaping How It Builds Software, Staffs Teams, and Funds Growth

Oracle is transforming its operational and financial strategies by shifting focus to AI as a core element of its enterprise framework, resulting in significant layoffs while simultaneously investing heavily in infrastructure and automation to enhance product development efficiency.

Analytics and AI

Data Activation vs. AI Frustration: Analyzing Boomi’s 2026 Platform Evolution

The AI honeymoon is over. Explore how Boomi’s new Meta Hub and Agent Control Tower solve the "fragmented data" bottleneck to move enterprise AI into governed production.

Analytics and AI

Workday, Salesforce FY26 Q4 Earnings Show Growth, Scale, and Platform Competition

Recent fourth quarter fiscal year 2026 earnings from Workday and Salesforce highlight the significance of production-grade AI adoption and platform expansion in driving enterprise software growth.

Analytics and AI

Data Sovereignty, Latency, Trust: Why ERP AI Cannot Live in the Public Cloud Alone

As AI integrates into ERP workflows, the need for robust governance, data residency, and operational control is rising, leading organizations to seek infrastructure strategies that ensure consistency and reliability in the face of regulatory demands.

Analytics and AI

Workday Names Co-Founder Aneel Bhusri CEO as Company Reorients Leadership for AI Era

Workday appointed co-founder Aneel Bhusri as CEO, succeeding Carl Eschenbach, to lead the company's next phase focused on leveraging AI within enterprise applications while maintaining operational discipline established during Eschenbach's tenure.

Analytics and AI

Microsoft Data Security Index 2026: AI Adoption Is Outpacing Data Security Controls

Microsoft’s 2026 Data Security Index shows generative AI adoption accelerating faster than data security controls, exposing governance and visibility gaps across enterprise environments.

ERP Strategy and Planning

Microsoft Dynamics 365 Business Central Raises the ERP Bar for the Mid-Market

Business Central is Microsoft's cloud ERP solution for small and mid-market organizations, featuring integrated finance, sales, and AI capabilities, while leveraging a partner-first approach to enhance vertical solutions, positioning it as a competitive force against other mid-market ERPs.

Analytics and AI

Agentforce Manufacturing Addresses Labor Shortages, Operational Inefficiencies

Salesforce released Agentforce Manufacturing, a suite of AI agent templates enabling manufacturers to enhance autonomy and efficiency while mitigating labor shortages, marking a significant shift in the industry toward predictive and proactive operations.

Analytics and AI

Autonomous AI and Composable Architectures are Helping ERPs Transforming Energy Sector

The oil, gas and chemical industries are shifting their enterprise resource planning strategies towards autonomous operations and composable architectures, spurred by low commodity prices and increasing regulatory demands, leading to improved decision-making through AI and enhanced operational efficiencies.

Analytics and AI

The Enterprise AI Revolution Is Boring, and That Is What Makes It Work

The article advocates for 'boring AI,' which emphasizes embedding AI into back-end processes and workflows to deliver real operational value, as opposed to flashy, superficial applications that often fail to provide measurable returns.

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...

CRM and Customer Experience

5 Predictions: What Salesforce Leaders Expect from Enterprise AI Agents in 2026

At a Salesforce roundtable, executives predicted that by 2026, companies will face a clear divide based on their adoption of AI agents as operational infrastructure, leading to significant changes in voice communication, engineering delivery models, governance structures, and user experiences.

CRM and Customer Experience

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.

Application Development and Integration

Rimini Street Pushes Agentic AI into ERP Without Forcing Upgrades

Rimini Street's launch of the Rimini Agentic UX, an AI-driven layer for existing ERP systems, aims to enhance productivity and process automation without the need for costly upgrades as strategic third-party support.

Analytics and AI

Salesforce Agentforce Playbook: Five Steps to Fund and Scale Enterprise AI

In a competitive AI market, the key to success lies not in the technology itself but in crafting a solid business case that emphasizes clear problem definition, coalition-building, scalable solutions, and pre-deployment governance to ensure measurable ROI and executive buy-in.

Analytics and AI

Inside the AI Shift Transforming Customer, Field Service and What it Means for ERP

The Salesforce 7th annual State of Service report reveals a rapid transformation in customer service driven by AI agents, predicting that by 2027 AI will resolve half of service cases, prompting organizations to enhance data integration and redefine service roles, ultimately positioning service as a blueprint for broader enterprise architecture change.

Analytics and AI

AWS Enters the AI Factory Race, Raising Stakes for Cloud-Data Sovereignty, Enterprise Architecture

Amazon Web Services (AWS) is launching on-premises AI factories that integrate advanced hardware and managed service offerings into customer data centers, enabling organizations to develop and deploy AI applications while addressing data sovereignty concerns and enhancing their existing ERP systems.

Analytics and AI

AI Agents Shifting from Hype to Enterprise Workflow Redesign: IBM Webinar

The misconceptions about AI agents primarily stem from enterprise expectations rather than the technology itself, emphasizing the need for organizations to redesign workflows for effective adoption and integration of AI systems.