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Systems Thinking for a Data-Driven World

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Author: Sai Krishnan Mohan

Data Management and Analytics Professional, Management Consultant and Mentor
Balancing Agility & Architecture

Agility vs. Architecture: Merging the CDO and CIO Mindsets

Currently, enterprise analytics is experiencing its most significant transformation to date. From an era of dashboards that offered visibility and … More

Visibility to Thinking to Action

Beyond Dashboards: How Agentic AI Will Transform Enterprise Decision Systems

Enterprise analytics is undergoing its most consequential transformation yet. What began as a quest for visibility—dashboards surfacing performance data across … More

What Mainframes got right about Autonomy and What Agentic AI must learn

As enterprises rush towards Agentic AI, leaders are confronting an uncomfortable truth: autonomy scales far faster than trust. What’s often … More

Beyond Generative AI: Entering the Age of Work-Delegating Systems

Traditional AI — often defined by generative capabilities such as content creation — has matured, solving the “content problem” through … More

Management Consulting in the LLM / GPT era

Data science methods, tools and technologies have evolved in recent times yielding benefits in productivity in analytical model development. Skill … More

Reinforcing Learnings in the Organisation

Deep learning paradigms are about teaching computers what to do based on how humans learn (i.e. by example). The popularity … More

Reimagining People Capability Maturity in the Age of Generative AI

We are in the midst of a profound AI-driven transformation of work. Generative AI is reshaping how tasks are performed, … More

Agentic AI and the New Agency Problem

Analytics and AI solution providers are rapidly pivoting toward agentic AI, positioning autonomous agents as a breakthrough for productivity and … More

Musings on depth and speed in analysis

Speed and depth as core values in ‘ways of working’ in-themselves seem mutually exclusive. Collating and considering ‘all the facts’ … More

Digital Drug Discovery – A Concept Note

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