Riddhiman Das is the CEO of TripleBlind, a privacy platform for AI. They have raised $32M in funding, with their most recent round led by General Catalyst. He was previously the Head of International Technology Investments at Ant Financial, which is Alibaba's financial services arm. He was the Product Architect at Zoloz, Chairman at Laplacian, Chief Data Offier at mySideWalk, and CTO of Galleon Labs. He has received the 2013 White House Champions of Change from President Barack Obama.

In this episode, we cover a range of topics including:
- Attack surface of an AI application
- What are the ways in which privacy can be compromised during training and deployment of AI models
- Role based access control for Generative AI applications
- Data leakage in Generative AI applications
- Characteristics of a good privacy product
- How is TripleBlind used in healthcare and financial sectors

Riddhiman's favorite book: Twenty Thousand Leagues Under the Sea (Author: Jules Verne)

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Where to find Prateek Joshi:

Newsletter: https://prateekjoshi.substack.com 
Website: https://prateekj.com 
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19 
Twitter: https://twitter.com/prateekvjoshi 

In this episode, the host Prateek Joshi talks about AI infrastructure ideas and categories including:

Model infrastructure:
- Compute hardware
- ML frameworks
- Foundation model providers
- Distributed model training
- Model deployment
- Building and serving verticalized models
- Streaming ML models
- Monitoring and logging
- Experimentation framework
- On-device applications
- Orchestration platform
- Latency
- User feedback loop

Data infrastructure:  
- Storage hardware
- Data acquisition
- Databases
- Data labeling
- Cataloging product usage data
- Privacy and security
- Backup and redundancy systems

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Where to find Prateek Joshi:

Newsletter: https://prateekjoshi.substack.com 
Website: https://prateekj.com 
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19 
Twitter: https://twitter.com/prateekvjoshi 

Molham Aref is the CEO of RelationalAI, an AI coprocessor for the data cloud. They have raised $122M in funding from the likes of Tiger Global, Madrona, Addition, and Menlo Ventures. He is a serial enterpreneur and has been the CEO of LogicBlox, Predictix, and Optimi.

In this episode, we cover a range of topics including:
- Relational knowledge graphs
- Knowledge graphs for AI-driven applications
- What is an AI coprocessor
- Graph analytics
- Interaction between ML infrastructure and knowledge graph infrastructure
- Data infrastructure for AI compute

Molham's favorite book: The Datapreneurs (Author: Bob Muglia)

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Where to find Prateek Joshi:

Newsletter: https://prateekjoshi.substack.com 
Website: https://prateekj.com 
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19 
Twitter: https://twitter.com/prateekvjoshi 

In this episode, the host Prateek Joshi talks about:
- why do we care about this problem
- who needs it
- how does it work
- list of 8 strategies to speed up ML

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Where to find Prateek Joshi:

Newsletter: https://prateekjoshi.substack.com 
Website: https://prateekj.com 
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19 
Twitter: https://twitter.com/prateekvjoshi 

Anand Babu "AB" Periasamy is the cofounder and CEO of MinIO, a high performance object storage for AI that's built for large scale workloads. They have raised $126M in funding from the likes of General Catalyst, Softbank, Intel Capital, and Nexus Venture Partners. It's the world's fastest growing object storage company with more than 1 billion Docker pulls and more than 35K stars on GitHub. He's also an angel investor with investments in companies like H2O.ai, Isovalent, Starburst, Postman, and many more. He was previously the cofounder and CTO of Gluster, which got acquired by Red Hat.

In this episode, we cover a range of topics including:
- Why is storage important for AI workflows
- What are the characteristics of a good data storage product
- Repatriation of data from public cloud to on-prem
- Running ML experiments in parallel
- AI compute offerings from data infrastructure providers
- Making data infrastructure faster and cheaper

AB's favorite book: An Awesome Book! (Author: Dallas Clayton)

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Where to find Prateek Joshi:

Newsletter: https://prateekjoshi.substack.com 
Website: https://prateekj.com 
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19 
Twitter: https://twitter.com/prateekvjoshi 

Eran Yahav is the cofounder and CTO of Tabnine, an AI assistant that developers can use to build software faster. He's a professor at Technion - Israel Institute of Technology and was previously a researcher at IBM. He has a PhD in Computer Science from Tel Aviv University.

In this episode, we cover a range of topics including:
- Tasks in software development
- What tasks are likely to benefit from LLMs
- The launch of Tabnine Chat 
- Characteristics of a good AI coding assistant
- Making AI coding assistants context-aware
- Generic LLMs vs domain specific LLMs
- AI copilot for devops work

Eran's favorite book: Catch-22 (Author: Joseph Heller)

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Where to find Prateek Joshi:

Newsletter: https://prateekjoshi.substack.com 
Website: https://prateekj.com 
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19 
Twitter: https://twitter.com/prateekvjoshi 

In this episode, the host Prateek Joshi talks about:
- why do we need data orchestration
- what exactly is it
- how does it work
- where is it used in the real world
- market landscape of tools

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Where to find Prateek Joshi:

Newsletter: https://prateekjoshi.substack.com 
Website: https://prateekj.com 
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19 
Twitter: https://twitter.com/prateekvjoshi 

Karthik Dinakar is the cofounder and CTO of Pienso, an interactive AI platform anyone can use to turn text data into insights without requiring any coding. He has a PhD in Machine Learning from MIT. He has held roles at MIT Media Lab, Microsoft, and Deutsche Bank.

In this episode, we cover a range of topics including:
- Tech stack of Generative AI applications
- Problem with general purpose LLMs
- Training LLMs on my own data
- Making LLMs faster and cheaper
- Shortage of AI compute
- Context windows
- Pursuit of AGI

Karthik's favorite books: 
- Introduction to Algorithms (Authors: Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein)
- Mindstorms: Children, Computers, And Powerful Ideas (Author: Seymour Peypert)

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Where to find Prateek Joshi:

Newsletter: https://prateekjoshi.substack.com 
Website: https://prateekj.com 
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19 
Twitter: https://twitter.com/prateekvjoshi 

In this episode, the host Prateek Joshi talks about 7 skills that ML builders should develop when they build products.

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Where to find Prateek Joshi:

Newsletter: https://prateekjoshi.substack.com 
Website: https://prateekj.com 
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19 
Twitter: https://twitter.com/prateekvjoshi 

Venkat Venkataramani is the cofounder and CEO of Rockset, a real-time search and analytics database built for the cloud. They've raised more than $60M in funding from the likes of Greylock and Sequoia. He was previously at Meta for 8 years and Oracle for 5.5 years. He has spent his entire life building data products, so he has a ton of insights on this topic.

In this episode, we cover a range of topics including:
- Separation of storage and compute
- Isolating compute for ingest and query
- Converged Index
- Vector search
- Stream Processing Systems vs Real-Time Analytics Databases
- Data infra for AI applications
- Bringing compute to data

Venkat's favorite books:
- The Hitchhiker's Guide to the Galaxy (Author: Douglas Adams)
- The Three-Body Problem (Author: Liu Cixin)

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Where to find Prateek Joshi:

Newsletter: https://prateekjoshi.substack.com 
Website: https://prateekj.com 
LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19 
Twitter: https://twitter.com/prateekvjoshi