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Metadata & AI Summit 2024

Machine learning and AI are advancing at a remarkable pace, surpassing traditional algorithms to unlock substantial value. The Metadata & AI Summit stands at the intersection, showcasing the latest technical innovations and tackling the sector’s most pressing challenges.

Our 2024 program was packed with topics such as navigating data complexity, elevating data quality throughout organizations, fine-tuning metadata management for ML, uncovering generative AI trends, evaluating the future of open source in AI, and championing data leadership. Crafted to explore the technical depths and the broader effects of AI regulation on enterprises and its progressive evolution, the Metadata & AI Summit is the ideal gathering for thought leaders and data practitioners.

The rapid evolution of AI and machine learning is transforming the tech landscape, surpassing traditional algorithms to drive immense value. The 2024 Metadata & AI Summit brought together industry leaders to showcase breakthrough innovations and tackle the field’s biggest challenges.

Reflecting DataHub and Acryl Data’s commitment to refining data management and analytics for AI endeavors, the summit provided engaging discussions on making enterprise data AI-ready, revealing AI initiatives slated for 2025, and unveiling new strategies to simplify data complexity. Additionally, we dove into methods to boost data quality across firms, the criticality of metadata management in ML, and open source’s role in AI development. Keynotes covered current trends, and what lies ahead, complemented by panels and workshops led by leaders in the field.

Watch the Replays

Netflix

Netflix

Alicia Johnson, Kevin Chun, and Ashwin Iyer from Netflix share their journey in evolving the metadata service landscape.

Acryl Data

Keynote

Shirshanka Das, Co-founder and CTO of Acryl Data addresses a pressing question: Why do so few AI initiatives successfully reach production?

Apple

Apple

Join Apple's Deepak Chandramouli, Ravi Sharma, and Satish Kotha as they delve into how open-source DataHub addresses Apple's challenges.

Meet Our Speakers

Schedule

Day 1_Think Day_Tuesday_Oct_19

Keynote_Governance_in_age_AI     

Keynote: Governance in the Age of AI

Shirshanka Das - Co-founder & CTO, Acryl Data

 

6_new_data_essentials_gen_ai

6 New Data Essentials for the Era of Generative AI

Teresa Tung - Senior Managing Director, Accenture

 

Evolution_Llama_Herd_Stack

Evolution of Llama: from Herd to Stack

Raghotham Murthy - Engineer, Meta

 

Panel_ai_in_production_safety_considerations

Panel: AI in Production: Reliability and Safety Considerations

Shirshanka Das - Co-founder and CTO, Acryl Data, Teresa Tung - Senior Managing Director, Accenture, Joe Hellerstein - Jim Gray Professor of Computer Science, UC Berkeley, Deepak Agarwal - Chief AI Officer, VP of Consumer and Trust Engineering, Pinterest and Alex Demakis - Co-Founder and Chief Scientist, BespokeLabsAi

 

Break

Break

 

Democratizing_gen_ai_at_scale

Democratizing GenAI @ Scale: Enabling Businesses to Build Self-Serve GenAI Applications

Harsha Gurulingappa - Head of AI & Machine Learning, Merck Group

 

 

strategies_effective_data_leadership

Strategies for Effective Data Leadership

Jeff Tackes - Sr. Manager of Data Science, Kraft Heinz

 

Why_metadata_key_cross_disciplinary

Why Metadata is Key to Cross-Disciplinary Data Modeling

Joe Reis - Instructor, DeepLearning.ai

 

Role_data_building_trustworthy_ai

The Role of Data in Building Trustworthy AI Systems

Michelle Yi - Co-Founder, Generationship

 

Future_observability_democratizing_real_time

The Future of Observability: Democratizing Real-Time Analytics and Anomaly Detection for Everyone

Chinmay Soman - Head of Product, StarTree

 

Day_2_build_day_wednesday

Day_2_kickoff_intro_dataHub

The Role of Data in Building Trustworthy AI Systems

Maggie Hays - Founding Product Manager, Acryl Data

 

chaos_to_clarity_deutsche_telekom

From Chaos to Clarity: How Deutsche Telekom Transformed their Data Strategy through Metadata

Shashidhar Singhal - Director Of Engineering, Deutsche Telekom Digital Labs, and Karan Jindal - Senior Data Engineer, Deutsche Telekom Digital Labs

 

Forecast_generative_ai

A Forecast for Generative AI

Joey Gonzalez - Co-Founder, Head of AI, RunLLM

 

Do_it_yourself_semantic_code_search

Do it Yourself – Semantic Code Search (Locally Deployable on Your Laptop)

Raghavan Muthuregunathan - Sr. Engineering Manager, Search AI, LinkedIn

 

metadata_journey_netflix

Metadata Journey at Netflix

Alicia Johnson - Product Manager, Data Discovery & Governance, Kevin Chun - Senior Software Engineer, Data Discovery & Governance and Ashwin Iyer - Engineering Manager, Data Discovery & Governance, Netflix

 

Break day 2

Break

 

panel_metdata_in_action_tips_tricks

Panel: Metadata in Action – Tips and Tricks from the Field

Maggie Hays - Founding Product Manager, Acryl Data, Harvey Li - Engineering Manager II, Grab, Matthew Coudert - Data Engineer II, Checkout, and Nedra Albrecht - Sr. Data Engineer, Slack
 
 

evolution_generative_ai

Evolution of Generative AI

Sadid Hasan - AI Lead, Microsoft

 

metadata_for_ai_journey_learning_challenges

Metadata for AI – Journey, Learning & Challenges

Deepak Chandramouli - Senior Software Engineer, Apple, Ravi Sharma - Senior Engineering Manager, Apple, and Satish Kotha - Senior Engineer, Apple

 

 

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