The Data Exchange with Ben Lorica

Ben Lorica
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Apr 11, 2024 • 36min

Automating Software Upgrades: How to Combine AI and Expert Developers

Steve Pike, Co-founder of Infield.ai, discusses automating software upgrades by blending AI and expert developers to address challenges like security fixes and bug updates. The conversation touches on the importance of combining automation with human expertise, utilizing data sources like GitHub, and the role of AI in speeding up software development processes.
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Apr 4, 2024 • 44min

Generative AI in the Industrial Sphere

Chetan Gupta, Head of AI Research at Hitachi, shares insights on applying generative AI in industrial settings. Topics include challenges of implementing AI, generating synthetic data for defect detection, automating fault tree creation, ensuring reliable AI behavior, and using generative AI for process transformation in industries.
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Mar 28, 2024 • 58min

The Intersection of LLMs, Knowledge Graphs, and Query Generation

Semih Salihoglu, Associate Professor at University of Waterloo and co-creator of Kuzu, discusses using Large Language Models (LLMs) for query generation in SQL and Cypher. Topics include automation of data warehouses, metadata impact on RAG System, developing graph database engines with multi-database support, integration of knowledge graphs for question answering, and logic-based reasoning with LLMs.
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Mar 21, 2024 • 36min

Unlocking the Potential of Private Data Collaboration

The podcast delves into data collaboration and secure computation challenges in various industries. Topics include synthetic data sets, secure multi party computation, NPC and Python integration in warehouses, and custom language models
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Mar 14, 2024 • 34min

Frontiers of AI: From Text-to-Video Models to Knowledge Graphs

Exploration of AI developments like text-to-video models and knowledge graphs. Discussions on productionizing AI, Google's Gemini, foundation model enhancements, AMD's software innovations, and knowledge graph augmentations of language models.
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Mar 7, 2024 • 43min

Adaptive, Specialized, and Accessible: Where AI Systems Are Heading Next

The podcast explores the advancements and challenges in AI systems, focusing on real-time learning, data limitations, and ethical considerations. It delves into the evolution of AI towards sensory inputs, the complexities of open source AI models, and the implications of foundation AI models in innovation and legal practices. Additionally, it discusses tax automation, book promotions, and the potential of AI in various fields.
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Feb 29, 2024 • 27min

2024 Themes and Trends in AI

Exploring 2024 AI trends like democratized AI hardware, advancements in generative AI models in enterprise settings. Introducing startups in computer vision and NLP, emphasizing importance of quality control in AI systems.
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Feb 22, 2024 • 43min

The AI Infrastructure Revolution: From Cloud Computing to Data Center Design

Bryan Cantrill, CTO and Co-founder of Oxide Cloud Computer, leads a startup delivering integrated hardware and software solutions for enterprises seeking cloud computing systems with hyperscaler agility. Oxide specializes in vertically integrated, scale-ready cloud infrastructure tailored for mainstream business needs.Subscribe to the Gradient Flow Newsletter:  https://gradientflow.substack.com/Subscribe: Apple • Spotify • Overcast • Google • AntennaPod • Podcast Addict • Amazon •  RSS.Detailed show notes can be found on The Data Exchange web site.
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Feb 15, 2024 • 41min

AI in Depth: Transforming Transportation, Enterprise, and Policy

Evangelos Simoudis is a seasoned venture investor and a senior advisor to global corporations, and Managing Director at Synapse Partners, a company that invests in startups developing enterprise applications that exploit Big Data and AI.Subscribe to the Gradient Flow Newsletter:  https://gradientflow.substack.com/Subscribe: Apple • Spotify • Overcast • Google • AntennaPod • Podcast Addict • Amazon •  RSS.Detailed show notes can be found on The Data Exchange web site.
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Feb 8, 2024 • 39min

Software Meets Hardware: Enabling AMD for Large Language Models

Sharon Zhou and Greg Diamos are co-founders of Lamini, a startup at the forefront of enabling enterprise adoption of large language models (LLMs). We discussed Lamini’s work with AMD, which focused on closing the gap between AMD hardware capabilities and software integration in LLM applications.Subscribe to the Gradient Flow Newsletter:  https://gradientflow.substack.com/Subscribe: Apple • Spotify • Overcast • Google • AntennaPod • Podcast Addict • Amazon •  RSS.Detailed show notes can be found on The Data Exchange web site.

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