Council Posts Archives

The Ethical AI Imperative: Building Trust Through Responsible Governance

Responsible AI development emphasizes the need for transparency, explainability, and ethical governance to build trust and mitigate risks in decision-making processes.

Turning Vision into Reality: Mastering the Leap from POC to Production

Transitioning from proof-of-concept to full-scale production in AI requires a comprehensive operational framework to overcome challenges in data, performance, integration, compliance, and organizational readiness.

Council Post: Strategies for Entry-Level Success in the AI Job Market

Success in the AI job market requires a blend of adaptability, creativity, and a strong understanding of the business landscape.

Unlocking the Power of Data with AI-Powered MDM

MDM is the discipline of creating a reliable source of truth for all business data, including data about customers, products, employees, finances, and more.

Developing People Capabilities in the era of Generative AI

Enhancements to PCMM can guide companies to stay agile and competitive while also helping their employees succeed alongside AI technologies.

Reimagining Apps from the Lens of ChatGPT: A New Era of Personalized Intelligence

Rather than being mere tools, apps are evolving into smart companions—engaged, responsive, and capable of growing alongside the user.

Arjun Srinivasan’s Journey from Tech Expert to AI Leadership

His leadership philosophy is based on empathy, authenticity, and a belief that technology should always serve the greater good.

Of Cranks and Code: Generative AI’s Satirical Beginnings in Gulliver’s Travels

Today, we must ensure that AI tools are used thoughtfully, balancing their potential with a critical awareness of their limitations, ethical risks, and societal impact.