MCP Dev Summit [Day 1] ft. Anthropic, Hugging Face, Open AI & Microsoft
Keynote Sessions (Broadway Ballroom / Main Stage)
Thursday, April 2
9:00 AM – 9:30 AM: Welcome & Opening Keynote: Standardizing the Intelligence Layer – Adam Seligman (Workato)
9:30 AM – 10:00 AM: The Future of MCP: A Technical Roadmap – David Soria Parra (Anthropic)
10:00 AM – 10:10 AM: Lessons Learned from Driving Enterprise MCP Adoption – Sheng Liang (Obot AI)
10:10 AM – 10:40 AM: Engineering the Agentic Era – Paul Carleton (Anthropic)
Friday, April 3
9:00 AM – 9:45 AM: Opening Keynote: MCP at Scale – David Nalley (AWS)
9:45 AM – 10:15 AM: Secure Containerization for MCP Servers – Ce…
Watch on YouTube ↗
(saves to browser)
Chapters (15)
9:00
AM – 9:30 AM: Welcome & Opening Keynote: Standardizing the Intelligence Layer –
9:30
AM – 10:00 AM: The Future of MCP: A Technical Roadmap – David Soria Parra (Anthr
10:00
AM – 10:10 AM: Lessons Learned from Driving Enterprise MCP Adoption – Sheng Lian
10:10
AM – 10:40 AM: Engineering the Agentic Era – Paul Carleton (Anthropic)
9:00
AM – 9:45 AM: Opening Keynote: MCP at Scale – David Nalley (AWS)
9:45
AM – 10:15 AM: Secure Containerization for MCP Servers – Cecilia Liu (Docker)
10:15
AM – 10:45 AM: Unhobbling Enterprise Agents – Diamond Bishop (Datadog)
11:30
AM – 11:55 AM: Securing the Enterprise Runtime: Managing and Observing MCP Tooli
11:55
AM – 12:20 PM: Fireside Chat: The Evolution of Developer Protocols – Rick Nucci
12:20
PM – 12:45 PM: Beyond Frameworks: Building Runtime-Agnostic AI Agents – Harshul
2:00
PM – 2:25 PM: MCP or Not MCP: That Is the Question – Du'An Lightfoot (AWS)
2:25
PM – 2:50 PM: Secure Your MCP Servers with OAuth, JWT, SPIFFE and More – Lin Sun
2:50
PM – 3:15 PM: From MCP Chaos to Clarity: EnrichMCP (The ORM Pattern for Producti
3:15
PM – 3:40 PM: MCP Through the Travel Funnel: From Exploration to Booking – Sanja
4:10
PM – 5:10 PM: Closing Panel: MCP in the Wild: GTM and Engineering Workflows at S
Playlist
Uploads from MLOps.community · MLOps.community · 0 of 60
← Previous
Next →
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
[Exclusive] Weights & Biases Round-table // Model Management in a Regulated Environment
MLOps.community
LLMs in Focus: From One-Size Fits All to Verticalized Solutions // Venky Ganti & Laurel Orr // #196
MLOps.community
Data Wrangling and AI Transformation // Venky Ganti & Laurel Orr // MLOps Podcast #196 clip
MLOps.community
The Role of Infrastructure in ML Leveraging Open Source // Niels Bantilan // MLOps Podcast #197
MLOps.community
Inferring Creativity // Nick Hasty // MLOps Podcast #198
MLOps.community
Challenges Operationalizing ML (And Some Solutions) // Nathan Ryan Frank // MLOps Podcast #199
MLOps.community
Founding, Funding, and the Future of MLOps // Mihail Eric // MLOps Podcast #200
MLOps.community
Evolution of ML Engineering and Automation // Niels Bantilan // MLOps Podcast clip #197
MLOps.community
Evaluating Tech Tools for Product Development // Nick Hasty // MLOps Podcast #198 clip
MLOps.community
Language, Graphs, and AI in Industry // Paco Nathan // MLOps Podcast #201
MLOps.community
Small Data, Big Impact: The Story Behind DuckDB // Hannes Mühleisen & Jordan Tigani // Podcast #202
MLOps.community
Practical Approach to ML and AI System Design // Nathan Ryan Frank // MLOps Podcast #199 clip
MLOps.community
The Future of Visual Generative AI Development // Mihail Eric // MLOps Podcast #200 clip
MLOps.community
Pioneering AI Models for Regional Languages // Aleksa Gordić // MLOps Podcast #203
MLOps.community
MLOps at the Crossroads // Patrick Barker & Farhood Etaati // MLOps Podcast #204
MLOps.community
The Myth of AI Breakthroughs // Jonathan Frankle // MLOps Podcast #205
MLOps.community
PDF Parsing and Value Chain Analysis // Paco Nathan // MLOps Podcast #201 clip
MLOps.community
RAG Has Been Oversimplified // Yujian Tang // MLOps Podcast #206
MLOps.community
Challenging Big Data Assumptions // Hannes Mühleisen & Jordan Tigani // MLOps Podcast #202 clip
MLOps.community
Evaluating AI Models and Building Societal Trust // Aleksa Gordić // MLOps Podcast #203 clip
MLOps.community
How Data Platforms Affect ML & AI // Jake Watson // MLOps Podcast #207
MLOps.community
Micro Graph Transformer Powering Small Language Models // Jon Cooke // MLOps Podcast #208
MLOps.community
Implications of Gen AI: ML 1.0's Future? // Patrick Barker & Farhood Etaati // Podcast #204 clip
MLOps.community
[Exclusive] QuantumBlack Round-table // Gen AI Buy vs Build, Commercial vs Open Source
MLOps.community
Lightweight Feature Platform // Matt Bleifer & Mike Eastham // MLOps Podcast #209
MLOps.community
The Realistic Approach to MLOps // Jonathan Frankle // MLOps Podcast clip #205
MLOps.community
Mitigating LLM hallucinations paper breakdown
MLOps.community
LLM Evaluation with Arize AI's Aparna Dhinakaran // MLOps Podcast #210
MLOps.community
Ads Ranking Evolution at Pinterest // Aayush Mudgal // MLOps Podcast #211
MLOps.community
Prompt Templates the Song
MLOps.community
DSPy: Understanding Stacking and Chaining Networks in Language Models // Omar Khattab
MLOps.community
Data Governance and AI // Alexandra Diem // MLOps Podcast #212
MLOps.community
The AI Engineer Song
MLOps.community
Evaluating and Integrating ML Models // Morgan McGuire and Anish Shah // MLOps Podcast #213
MLOps.community
Information Retrieval & Relevance // Daniel Svonava // MLOps Podcast #214
MLOps.community
LLM Use Cases in Production // AI in Production Conference // Panel 1
MLOps.community
A Survey of Production RAG Pain Points and Solutions // Jerry Liu // AI in Production Conference
MLOps.community
Becoming an AI Evangelist // Alex Volkov // MLOps Podcast #215
MLOps.community
Managing Data for Effective GenAI Application // Anu Arora and Anass Bensrhir // MLOps Podcast #216
MLOps.community
Tecton's Approach to Scaling Data Aggregations // Mike Eastham // MLOps podcast #209 clip
MLOps.community
The Real E2E RAG Stack // Sam Bean // MLOps Podcast #217
MLOps.community
A Decade of AI Safety and Trust // Petar Tsankov // MLOps Podcast #218
MLOps.community
LLM Applications & Outcome Evaluation in the New Era // Aparna Dhinakaran // MLOps Podcast #210 clip
MLOps.community
Language Processing, Recommendations, System Integration // Aayush Mugdal // MLOps Podcast #211 clip
MLOps.community
[Exclusive] Zilliz Roundtable // Why Purpose-built Vector Databases Matter for Your Use Case
MLOps.community
Model Merging and Mixtures of Experts // Maxime Labonne // AI in Production Conference
MLOps.community
Security and Privacy // Day 2 Panel 1 // AI in Production Conference
MLOps.community
Hypothesis Testing and Stakeholder Collaboration // Alexandra Diem // MLOps Podcast #212 clip
MLOps.community
Kubecon Shirt Compliment Challenge
MLOps.community
The Art and Science of Training LLMs // Bandish Shah and Davis Blalock // MLOps Podcast #219
MLOps.community
Getting 50 people to comment on my shirt at Kubecon
MLOps.community
4 Years of the MLOps Community // Demetrios Brinkmann // MLOps Podcast #220
MLOps.community
Expressing Data Desires through Vectors // Daniel Svonava // MLOps podcast #214 clip
MLOps.community
Anatomy of a Software 3.0 Company // Sarah Guo // AI in Production Keynote
MLOps.community
Building the Next Generation of Reliable AI // Shreya Rajpal // AI in Production Keynote
MLOps.community
Designing ML Infra for ML & LLM Use Cases // Amritha Arun Babu & Abhik Choudhury // Podcast #221
MLOps.community
What Business Stakeholders Want to See from the ML Teams // Peter Guagenti // MLOps Podcast #222
MLOps.community
From Chatbot Creation to Ingestion Pipelines // Alex Volkov // MLOps Podcast #215 clip
MLOps.community
Considerations of Data Quality // Anu Arora and Anass Bensrhir // MLOps podcast #216 clip
MLOps.community
Charting LLMOps Odyssey // Yinxi Zhang @ Databricks // AI in Production Talk
MLOps.community
DeepCamp AI