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Category: Council Posts

Extending the Governance Framework to Strengthen AI Strategy and GenAI Solutions

Emerging practices such as adversarial testing and AI-driven QA are redefining the landscape of performance assurance.

How to Use Emerging Technologies Strategically for Long-Term Business Benefits

The journey may be complex, but the rewards for those who can integrate emerging technologies into their business strategy are limitless.

The balancing act: Data Management and Data Consumption

Data Architects have a tougher challenge now than ever before.

Why Agentic AI Will Dominate the Tech Landscape in 2025: Insights from Personal Experience

Don’t wait—start your journey with agentic AI now and lead your industry into a new era of technological excellence.

Overcoming Data Silos and Integration Barriers in Enterprise AI Implementation

This journey isn’t just about technology; it’s a strategic leap toward reshaping the future of business.

Uplevel your enterprise marketing systems with AI and Data Science

This isn’t the future; it’s the present reality for forward-thinking enterprises.

Unpacking the Power of Data Products: Driving Business Value through Data

This shift is not just about technology—it’s about fostering collaboration, driving data governance, and providing real-time insights that directly impact business outcomes.

Comparing Major Companies’ AI Spending in 2024 and the Challenge of Productionizing AI Solutions

Businesses still struggle to produce their AI solutions when investment on AI reaches all-time highs in 2024.

How to Navigate the Complexities of Data Governance in the AI Industry: Strategies for Building Robust Frameworks

These leaders shared invaluable insights on how they are navigating the complexities of data governance based on their industry experiences, and the strategies they are employing to build robust frameworks in an increasingly AI-driven world. 

Council Post: Robust Data Engineering Practices Can Supercharge AI

While AI models often steal the spotlight, the true unsung hero of successful AI implementations is data engineering.

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Treat AI like infrastructure, not innovation. Start with business problems, not technical capabilities.

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AI Insights in 2025 shows scale is the strategy

Position AI as a partner, not a threat.

Addressing the Limitations of Centralized Artificial Intelligence through Edge AI

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Ethical Intelligence: Building Trustworthy AI in Healthcare

Building ethical AI is less about technology maturity than about organizational maturity, the willingness to

Enterprise AI Powered Digital Transformation

Research shows companies embedding AI into core business strategy are twice as likely to outperform

Scaling and ROI of Generative AI/ Digital initiatives for Smart Factory

Gen AI is transforming factories into intelligent systems where data drives better decisions and improves

Enterprise-Ready Agentic AI: What’s Hype, What’s Real, What’s Risk?

Leaders weigh the promise, limits, and governance of next-gen AI in enterprise settings

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