Analytics and AI

Artificial Intelligence (AI) and analytics are indispensable in propelling digital transformation efforts, particularly influencing Enterprise Resource Planning (ERP). With the rapid progression of technology and computing power, organizations across various sectors are generating immense amounts of data daily, impacting ERP processes. The significance of this data lies in its potential to extract actionable insights, facilitate strategic planning, and drive innovation within the ERP framework. In this context, AI and analytics emerge as pivotal tools, facilitating the extraction of value from the vast amounts of data generated and collected across the enterprise, optimizing ERP functionalities. Analytics is commonly categorized into descriptive, prescriptive, diagnostic, and predictive types, enhancing the ERP landscape. AI algorithms contribute not only to predictive and prescriptive analytics but also empower companies to develop innovative ERP capabilities, exemplified by advancements such as Industry 4.0.

kyano

Analytics and AI

Why Industry-Built ERP Will Lead the Next Wave of Manufacturing Modernization

Manufacturing executives are increasingly favoring vertical ERP systems over generic platforms due to the former's ability to provide tailored, out-of-the-box solutions that align with industry-specific workflows.

Analytics and AI

Google Launches Gemini for Government, Supporting DOE Labs on Genesis Mission

Google launches Gemini for Government at 47 cents per year for federal agencies, partnering with DOE National Labs to enhance scientific productivity through agentic AI workflows, secure collaboration, and advanced research tools.

Analytics and AI

2025 Was a Pivotal Point for Oracle NetSuite: Where Is Its AI Roadmap Heading in 2026?

Oracle NetSuite laid the groundwork in 2025 for an AI-native ERP experience, with 2026 expected to see the launch of key features like NetSuite Next and Autonomous Close, which will embed AI into financial and operational workflows, moving AI from conceptual to operational use.

SYSRPO and DATASCOPE

Analytics and AI

Utilities Turn to Physical AI to Accelerate Grid Modernization

Utilities are increasingly utilizing robotics and physical AI to enhance inspections, mitigate risks, and optimize workforce efficiency amidst challenges like electrification growth, aging infrastructure and labor shortages.

Coda

Analytics and AI

December’s M&A Sprint Signals AI Infrastructure Consolidation Era for Enterprises

In December 2025, a surge of over $100 billion in strategic technology acquisitions is compelling ERP executives to pivot away from fragmented solutions towards more robust, AI-native architectures amidst rising valuations and an emphasis on security.

ClickUp AI Agents

Analytics and AI

ClickUp Addresses Work Sprawl with Codegen Acquisition

ClickUp has acquired AI startup Codegen to enhance its platform with autonomous software engineering capabilities, integrating execution engines with enterprise context for a unified workspace that enables AI agents to perform tasks across multiple systems.

Analytics and AI

BlackLine Acquires WiseLayer in Bid to Enhance AI Capabilities

BlackLine's acquisition of WiseLayer marks a pivotal moment in finance as AI agents take on complex judgment-heavy tasks, transforming operating models and integration practices while significantly enhancing efficiency and accuracy in financial operations.

Analytics and AI

Palo Alto, Google Cloud Expand AI Security Alliance as 99% of Organizations Report AI Attacks

Palo Alto Networks and Google Cloud have expanded their partnership with a nearly $10 billion deal to enhance AI and cloud security, integrating Palo Alto’s Prisma AIRS platform with Google Cloud’s infrastructure to provide comprehensive security across hybrid multicloud environments.

Analytics and AI

BillingPlatform Adds Platform Capabilities for Advanced Revenue Insights

BillingPlatform's upgraded capabilities transform billing into a real-time decision system for revenue leaders, enhancing visibility, reducing manual reporting, leveraging AI for transparency and robust integration.

data maturity ai

Analytics and AI

Data Maturity Is the Strongest Predictor of AI Success in 2026, Says New CData Study

Despite investment in AI copilots, many enterprises' lack of robust data infrastructure hampers their ability to derive sustainable ROI from AI initiatives, with only 6% of organizations considered genuinely AI-ready due to fragmented data systems.

Analytics and AI

Manufacturing Expands Physical Automation with AI-Driven Robotics

Manufacturers are transitioning to AI-enabled robotic ecosystems that enhance productivity and quality by integrating with ERP and MES systems, which leads to significant improvements in efficiency and maintenance planning.

Analytics and AI

Certinia Launches Winter ’26 Release for Improved Agentic AI, Workflow

Certinia's Winter '26 release leverages AI to enhance operational efficiency for services-centric organizations by automating project monitoring, streamlining sales-to-delivery processes and improving customer success management.

Cognizant AI

Analytics and AI

Cognizant and Microsoft Target the Last-Mile Problem in Enterprise AI

Cognizant and Microsoft have expanded their AI partnership to co-develop industry-specific solutions and integrate Microsoft's AI stack into Cognizant’s services, primarily benefiting sectors like financial services and healthcare, as they aim to enhance AI deployment and operational impacts through deeper collaboration and streamlined workflows.

Analytics and AI

Nextworld Platform 25.2: Ambient AI, Visual Workflows for ERP 

Nextworld's Platform 25.2 enhances business operations by introducing ambient AI agents, a Visual Workflow Builder and an upgraded Developer Studio, streamlining automation and innovation while empowering technical and non-technical users to simplify complex workflows.

Unit4 and Pragmatic AI

Analytics and AI

AI Growth Will Outrun Power Capacity Without Industry Collaboration

As AI's electricity demand surges, energy executives emphasize the critical need for rapid infrastructure development and strategic energy planning to sustain digital transformation.

Analytics and AI

IBM Advances Generative, Agentic AI Deeper into SAP Operations with ICAMS

IBM announced its Application Management Suite for SAP (ICAMS), designed to enhance SAP transformation through generative and agentic AI, thereby streamlining management processes and improving operational efficiency across SAP environments amidst the complex transition to S/4HANA.

Analytics and AI

Oil and Gas ERP Leaders Signal Agentic AI Push in Recent Deployments

Oil and gas operators are prioritizing digital transformation through cloud ERP modernizations with autonomous AI agents and unified data platforms, highlighting the industry's focus on operational efficiency and competitive advantage.

Robot-Resilience | RPA

Analytics and AI

IFS, Boston Dynamics Bring Physical AI to Field Operations

IFS and Boston Dynamics have partnered to integrate autonomous robots into field service workflows, enhancing operational efficiency and safety by allowing robots to perform inspections in hazardous locations.

Analytics and AI

Aptean Launches AppCentral 2.0, Bringing Vertical AI Into Daily Industrial Operations

Aptean’s AppCentral 2.0 is a Vertical AI platform that enhances operational efficiency in manufacturing and distribution by integrating AI agents for real-time decision-making, automating routine tasks, and providing predictive insights.

Businessperson hold an image of an AI agent in hand.

Analytics and AI

Why the Future Belongs to Pragmatic, Practical AI

The focus for manufacturing leaders has shifted towards pragmatic AI solutions that deliver measurable operational improvements in ERP processes by driving profitability amidst growing AI investment in the sector.

Analytics and AI

SAP, Oracle Lead the Charge as AI-Driven Performance Management Market Targets USD 6.33B by 2030

The employee performance management market is expected to grow from $3.52 billion in 2025 to $6.33 billion by 2030, driven by a shift towards continuous, analytics-enabled performance cycles embraced by major firms like Adobe and Microsoft, with AI-centric platforms at the core, as organizations increasingly link performance to skills-based talent strategies and digital transformation efforts.

Analytics and AI

Oracle NetSuite Recognized as Leader in Gartner Magic Quadrant Reports, as Demand for AI-Driven ERP Accelerates

Oracle NetSuite has been named a Leader in Gartner's 2025 Magic Quadrant for Cloud ERP and Financial Planning Software, highlighting its AI-enhanced capabilities, expanded customer base, and integrated architecture that addresses the evolving demands of service-centric organizations.

Analytics and AI

Oracle Loads Up on AI Infrastructure as OCI Backlog, Data Center Commitments Surge

Oracle's Q2 FY2026 financial results reveal a dramatic surge in cloud and AI offerings, with remaining performance obligations rising to $523.3 billion, total cloud revenue hitting $8 billion, and significant growth in Oracle Cloud Infrastructure and GPU revenue.

Analytics and AI

Cloud-Native Logistics, Multi-Agent AI Set Pace for Next-Gen Supply Chain Resilience

Monolithic supply chain systems pose vulnerabilities for global brands amid geopolitical uncertainties, while cloud-native platforms utilizing modular services, IoT integration, and AI-driven multi-agent coordination enhance resilience, efficiency, and data security.

NGO AI ERP

Analytics and AI

Nonprofits Want AI, but They Need Modern ERP Platforms First—Unit4 Study

Nonprofits are facing operational challenges due to increased demand from crises and economic uncertainties, prompting 83% to invest in generative AI and modernized ERP systems for better data integration, mission impact, and donor transparency.

ERP AI

Analytics and AI

AI Agents, Real-Time Connectivity Defining ERP’s Future

ERP systems are transitioning to AI-native architectures with embedded autonomous agents, enhancing efficiency by automating tasks, monitoring transactions, and suggesting corrections, prompting companies to prioritize semantic data integration, upgrade flexibility and real-time connectivity.

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.