AI and GenAI
From AI ambition to AI impact: What enterprises need to get right
HCLTech’s The AI Impact Imperatives, 2026 report shows that enterprise AI success depends on the right foundation, the right AI governance and the right partners
HCLTech research with 467 senior executives finds respondents expect, on average, 43% of major AI projects initiated over the next 24 months to fail, highlighting three imperatives for impact
Autonomous payments orchestration with Pega: Speed at scale, trust by design
Banks are under pressure to resolve payment exceptions and disputes faster than ever, yet speed alone is not enough: automation must scale without weakening oversight, auditability or customer trust.
Agentic AI for private equity with HCLTech, Google Cloud and Gemini Enterprise
Private equity firms can turn Agentic AI into measurable portfolio value by combining industry-specific use cases, repeatable agent models and disciplined financial measurement
How Agentic, Physical and Sovereign AI are transforming manufacturing
As AI moves deeper into manufacturing, organizations need a digital thread connecting intelligence to physical action, supported by cost-efficient edge infrastructure and greater control over data
Building the services economy for industrial manufacturers
Industrial manufacturers are shifting from one-time equipment sales to outcome-based services, using AI, connected assets and lifecycle data to reshape customer experience, operations and aftermarket
AI-enabled quality and process optimization in manufacturing
AI is helping manufacturers move beyond operational visibility toward predictive and prescriptive insights that can improve quality, optimize resources and support better decisions on the shop floor
Beyond infrastructure: Reimagining hybrid cloud for intelligence and resilience
As enterprises become more distributed and AI moves closer to where data is generated, hybrid cloud is taking on a broader role
Why Sovereign AI will shape the next decade of enterprise transformation
As AI moves from pilots to business-critical systems, enterprises need greater control over where data is processed, where models run, how infrastructure is managed and how governance is enforced
Why private equity needs an AI foundation before it can scale
Private equity firms need to industrialize the platform and operating model foundations that allow AI to scale and create sustainable value across the portfolio
Physical AI: The race to scale intelligence in the real world
Physical AI can help enterprises improve productivity, resilience and operational performance, but success depends on combining engineering, OT, IT and Responsible AI at scale
Governance as the operating foundation for industrial AI
As agents, digital twins and Physical AI take on greater operational responsibility, manufacturers need governance that aligns autonomy with risk, accountability and trust
