In this presentation, we delve into the compelling intersection of artificial intelligence (AI) and data management, emphasising the critical need for businesses to adapt and enhance their strategies.

With AI's pervasive influence continuing to reshape our conversations, generative AI (Gen-AI) and large language models (LLMs) are leading the charge.

This session will cover:

Current Landscape:

●      Explore generative AI & LLMs in businesses.

●      Highlight challenges in data quality, ethics, and cost management.

Foundations of Success:

●      Emphasise robust data management for reliable AI outcomes.

●      Propose a paradigm shift beyond traditional methods.

Adapting to the New Era:

●      Explore strategies such as data mesh & literacy programs.

●      Recognise the learning curve for AI adoption.

Democratising Data with AI:

●      Showcase AI solutions for non-tech users with natural language queries.

●      Discuss AI's role in recommending data sources, transforming insights.

Ethical Considerations:

●      Address risks, focus on regulatory standards & broad data access.

The Future of AI:

●      Explore the evolving landscape of real-time data insights.

●      Encourage aligning data strategies with AI realities.

Join us as we navigate the ethical challenges, technological innovations, and strategic imperatives that define the future of AI and data management in 2024 and beyond.