predictive AI

An abstract representation of interconnected digital networks, flowing data, and artificial intelligence symbols over a blurred industrial background.

Sage Makes the Case for Three Kinds of AI in the Supply Chain, and One Data Foundation Beneath Them

Two September 2026 Sage Advice articles frame supply chain AI as predictive, generative, and agentic layers that only deliver value on connected ERP data with human oversight. ERP Today's 2026 coverage of Sage Copilot in X3, IDC trust research, and customer readiness shows why explainability is now a supply chain requirement.

Human Capital Management

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.

Rootstock Launches Summer ’25 Release with AI Agent, New Data Grid, and Expanded Financials

Manufacturing Systems and Automation

Epicor Pushes the Boundaries of Industrial Intelligence with New AI and Sustainability Tools

At the Epicor Insights 2025 conference, Epicor announced its commitment to the manufacturing and supply chain sectors with the introduction of AI-driven tools, including Epicor Prism and Grow AI for enhanced operational efficiency and data quality, alongside the Carbon Cost Rollup for managing carbon footprints in production, highlighting the increasing importance of sustainability in ERP systems.

IFS Valuation Soars Past €15 B on Major Investment & Strong Growth

ERP Strategy and Planning

From Birmingham, UK: IFS Bets Big on Industrial AI—and Invites Its Customers to Lead the Charge

At IFS Connect UKI 2025, CEO Mark Moffat emphasized IFS's urgent ambition to lead industrial enterprise software by 2029 through AI integration, focused R&D investments, and real-world operational value, while urging customers to embrace AI as a mindset for optimizing asset-heavy industries.