talk-data.com talk-data.com

Jon Cooke

Speaker

Jon Cooke

1

talks

CTO & Founder Dataception

Jon Cooke is the CTO and founder of Dataception, where he drives innovation at the intersection of Data, AI, Product Thinking using Data Object Graphs. He is the creator of the Data Product Pyramid, a framework that guides organizations from raw data to fully operational, decision-driven AI products.

He and his team has built Nebulyx.AI – An advanced AI and Data Product platform to create end-to-end AI driven business process (materialised as Data Object Graphs) solutions in hours.

With over three decades of experience in enterprise data and AI systems, Jon focuses on AI-infused data products, using small, purpose-built language models, graph-based architectures, and end-to-end product ownership using business focussed data products.

His work utilises the convergence of AI and graph technologies to enhance data discovery, reasoning, and automation within business processes.

Bio from: Big Data LDN 2025

Frequent Collaborators

Dan Harris Cloudaeon 4 Frank Khan Sullivan 4
Filtering by: Big Data LDN 2024 ×

Filter by Event / Source

Less Drag. More Data. How to Optimise Your ETL Pipelines 4 Big Data LDN 2024 1 Big Data LDN 2025 1 Big Data LDN 2025 1 The Joe Reis Show 1 Experiencing Data w/ Brian T. O’Neill (AI & data product management leadership—powered by UX design) 1

Talks & appearances

Showing 1 of 9 activities

Search activities →

Harnessing Big Data with AI: Opportunities, Challenges, and Ethical Considerations

2024-09-18 · Big Data LDN 2024
Face To Face
with Jon Cooke (Dataception) , Ravi Ramachandran (The GTM Firm & Co-Founder, Eidolon AI) , Steven Totman , Natalie Cramp
AI/ML Big Data Data Management

Our panel discussion explores the transformative potential of big data and AI across diverse industries. We will address key technical challenges such as data management and model scalability, along with ethical and privacy concerns, including data utilization and algorithmic biases. Looking ahead, we will discuss future trends and emerging AI breakthroughs. Emphasizing interdisciplinary collaboration, we advocate for diverse teams to ensure fairness and innovation in AI solutions. This dialogue aims to illuminate the complexities and opportunities in big data and AI.