The Data Exchange with Ben Lorica
By Ben Lorica
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Episodes: 232
Description
A series of informal conversations with thought leaders, researchers, practitioners, and writers on a wide range of topics in technology, science, and of course big data, data science, artificial intelligence, and related applications. Anchored by Ben Lorica (@BigData), the Data Exchange also features a roundup of the most important stories from the worlds of data, machine learning and AI. Detailed show notes for each episode can be found on https://thedataexchange.media/ The Data Exchange podcast is a production of Gradient Flow [https://gradientflow.com/].
| Episode | Date |
|---|---|
|
Monthly Roundup: Llama 3, Agents, Evaluation Metrics, Cyc, TikTok, and more
|
May 16, 2024 |
|
LLMs for Data Access: Unlocking Insights with Text-to-SQL
|
May 09, 2024 |
|
2024 Artificial Intelligence Index
|
May 02, 2024 |
|
DBRX and the Future of Open LLMs
|
Apr 25, 2024 |
|
Monthly Roundup: New LLMs, GTC 2024, Constraint-Driven Innovation, Model Safety, and GraphRAG
|
Apr 18, 2024 |
|
Automating Software Upgrades: How to Combine AI and Expert Developers
|
Apr 11, 2024 |
|
Generative AI in the Industrial Sphere
|
Apr 04, 2024 |
|
The Intersection of LLMs, Knowledge Graphs, and Query Generation
|
Mar 28, 2024 |
|
Unlocking the Potential of Private Data Collaboration
|
Mar 21, 2024 |
|
Frontiers of AI: From Text-to-Video Models to Knowledge Graphs
|
Mar 14, 2024 |
|
Adaptive, Specialized, and Accessible: Where AI Systems Are Heading Next
|
Mar 07, 2024 |
|
2024 Themes and Trends in AI
|
Feb 29, 2024 |
|
The AI Infrastructure Revolution: From Cloud Computing to Data Center Design
|
Feb 22, 2024 |
|
AI in Depth: Transforming Transportation, Enterprise, and Policy
|
Feb 15, 2024 |
|
Software Meets Hardware: Enabling AMD for Large Language Models
|
Feb 08, 2024 |
|
Incentives are Superpowers: Mastering Motivation in the AI Era
|
Feb 01, 2024 |
|
Synthetic Futures: The Convergence of Biology and AI
|
Jan 25, 2024 |
|
AI Co-Pilots in Action: Transforming Function Calling in Cybersecurity
|
Jan 18, 2024 |
|
Leveling Up: Tools and Techniques to Make AI Development More Accessible
|
Jan 11, 2024 |
|
LLMs on CPUs, Period
|
Jan 04, 2024 |
|
Democratizing Wealth Management With AI
|
Dec 28, 2023 |
|
Knowledge Graphs: Contextualizing Enterprise Data for More Accurate LLMs
|
Dec 21, 2023 |
|
TimeGPT: Machine Learning for Time Series, Made Accessible
|
Dec 14, 2023 |
|
Best Practices for Building LLM-Backed Applications
|
Dec 07, 2023 |
|
The Evolution of Crypto, Blockchain, and Web3
|
Nov 30, 2023 |
|
Open Source Data and AI: Past, Present, Future
|
Nov 23, 2023 |
|
Orchestration for LLM and RAG applications
|
Nov 16, 2023 |
|
Reflections from the First AI Conference in San Francisco
|
Nov 09, 2023 |
|
Kùzu: A simple, extremely fast, and embeddable graph database
|
Nov 02, 2023 |
|
Navigating the Nuances of Retrieval Augmented Generation
|
Oct 26, 2023 |
|
The Rise of Generative AI-Powered Social Media Manipulation
|
Oct 19, 2023 |
|
Versioning and MLOps for Generative AI
|
Oct 12, 2023 |
|
Navigating the Generative AI Landscape
|
Oct 05, 2023 |
|
Trends in Data Management: From Source to BI and Generative AI
|
Sep 28, 2023 |
|
AI and the Future of Speech Technologies
|
Sep 21, 2023 |
|
The Future of Cybersecurity: Generative AI and its Implications
|
Sep 14, 2023 |
|
Ivy: The One-Stop Interface for AI Model Deployment and Development
|
Sep 07, 2023 |
|
Navigating the Risk Landscape: A Deep Dive into Generative AI
|
Aug 31, 2023 |
|
Software Development with AI and LLMs
|
Aug 24, 2023 |
|
A Lightweight SDK for Integrating AI Models and Plugins
|
Aug 17, 2023 |
|
Using LLMs to Build AI Co-pilots for Knowledge Workers
|
Aug 10, 2023 |
|
ETL for LLMs
|
Aug 03, 2023 |
|
The Future of Graph Databases
|
Jul 27, 2023 |
|
Delivering Safe and Effective LLM and NLP Applications
|
Jul 20, 2023 |
|
Using Data and AI to Democratize Entity Resolution and Master Data Management
|
Jul 13, 2023 |
|
An Open Source Data Framework for LLMs
|
Jul 06, 2023 |
|
Redefining AI Infrastructure: Deploying and Developing with a Next-Generation Developer Platform
|
Jun 29, 2023 |
|
The Rise of Custom Foundation Models
|
Jun 22, 2023 |
|
The Future of Vector Databases and the Rise of Instant Updates
|
Jun 15, 2023 |
|
LLMs Are the Key to Unlocking the Next Generation of Search
|
Jun 08, 2023 |
|
Building and Deploying Foundation Models for Enterprises
|
Jun 01, 2023 |
|
Building Robust AI Infrastructure for Critical Solutions
|
May 25, 2023 |
|
Machine Learning for High-Risk Applications
|
May 18, 2023 |
|
Boosting Perception With Synthetic Data
|
May 11, 2023 |
|
Revolutionizing B2B: Unleashing the Power of AI and Data
|
May 04, 2023 |
|
AI Metadata
|
Apr 27, 2023 |
|
The 2023 AI Index
|
Apr 20, 2023 |
|
Custom Foundation Models
|
Apr 13, 2023 |
|
Uncovering and Highlighting AI Trends
|
Apr 06, 2023 |
|
How Data and AI Happened
|
Mar 30, 2023 |
|
Blazing fast bulk data transfers between any cloud
|
Mar 23, 2023 |
|
Exhaustion of High-Quality Data Could Slow Down AI Progress in Coming Decades
|
Mar 16, 2023 |
|
Generating high-fidelity and privacy-preserving synthetic data
|
Mar 09, 2023 |
|
How technology is disrupting the venture capital industry
|
Mar 02, 2023 |
|
Running Machine Learning Workloads On Any Cloud
|
Feb 23, 2023 |
|
2023 Trends in Data Engineering and Infrastructure
|
Feb 16, 2023 |
|
Preparing for the Implementation of the EU AI Act and Other AI Regulations
|
Feb 09, 2023 |
|
The Open Source Stack Unleashing a Game-Changing AI Hardware Shift
|
Feb 02, 2023 |
|
Data Science and AI in Context
|
Jan 26, 2023 |
|
Evaluating Language Models
|
Jan 19, 2023 |
|
2023 Opportunities and Trends: Data, Machine Learning, and AI
|
Jan 12, 2023 |
|
Exploring DALL·E 2
|
Jan 05, 2023 |
|
Data Science at Shopify and Stitch Fix
|
Dec 29, 2022 |
|
Building a data management system for unstructured data
|
Dec 22, 2022 |
|
A Cloud Native Vector Database Management System
|
Dec 15, 2022 |
|
What’s Next for Machine Learning in Time Series
|
Dec 08, 2022 |
|
Efficient Methods for Natural Language Processing
|
Dec 01, 2022 |
|
Responsible and Trustworthy AI
|
Nov 23, 2022 |
|
Building a premier industrial AI research and product group
|
Nov 17, 2022 |
|
An open source, production grade vector search engine
|
Nov 10, 2022 |
|
A comprehensive suite of open source tools for time series modeling
|
Nov 03, 2022 |
|
Building Safe and Reliable AI applications
|
Oct 27, 2022 |
|
A new storage engine for vectors
|
Oct 20, 2022 |
|
Project Lightspeed: Next-generation Spark Streaming
|
Oct 13, 2022 |
|
The Unreasonable Effectiveness of Speech Data
|
Oct 06, 2022 |
|
Machine Learning Integrity
|
Sep 29, 2022 |
|
Synthetic data technologies can enable more capable and ethical AI
|
Sep 22, 2022 |
|
Confidential Computing for Machine Learning
|
Sep 15, 2022 |
|
Applied NLP Research at Primer
|
Sep 08, 2022 |
|
Using SQL to Retrieve Data from APIs and Web Services
|
Sep 01, 2022 |
|
Machine Learning for Time Series Intelligence
|
Aug 25, 2022 |
|
Unleashing the power of large language models
|
Aug 18, 2022 |
|
Building production-ready machine learning pipelines
|
Aug 11, 2022 |
|
Machine Learning at Gong
|
Aug 04, 2022 |
|
Data Infrastructure for Computer Vision
|
Jul 28, 2022 |
|
How DALL·E works
|
Jul 21, 2022 |
|
Scalable, end-to-end machine learning, for everyone
|
Jul 14, 2022 |
|
Orchestration and Pipelines for Data Scientists
|
Jul 07, 2022 |
|
Dataframes at scale
|
Jun 30, 2022 |
|
Software-Defined Assets
|
Jun 23, 2022 |
|
Adversarial Machine Learning
|
Jun 16, 2022 |
|
Orchestrating Machine Learning Applications
|
Jun 09, 2022 |
|
Narrative AI
|
Jun 02, 2022 |
|
Machine Learning Model Observability
|
May 26, 2022 |
|
Dataflow Automation
|
May 19, 2022 |
|
Practical Machine Learning and Deep learning
|
May 12, 2022 |
|
Machine Learning for Optimization
|
May 05, 2022 |
|
Efficient Scaling of Language Models
|
Apr 28, 2022 |
|
Data Science at Stitch Fix
|
Apr 21, 2022 |
|
The 2022 AI Index
|
Apr 14, 2022 |
|
Why You Need A Time-Series Database
|
Apr 07, 2022 |
|
Data Science at Shopify
|
Mar 31, 2022 |
|
An AI Risk Management Framework
|
Mar 24, 2022 |
|
An open source and end-to-end library for causal inference
|
Mar 17, 2022 |
|
The Graph Intelligence Stack
|
Mar 10, 2022 |
|
NLP and Language Models in Healthcare and the Life Sciences
|
Mar 03, 2022 |
|
Delivering Continuous Intelligence at Scale
|
Feb 24, 2022 |
|
Imperceptible NLP Attacks
|
Feb 17, 2022 |
|
Evolving Data Science Training Programs
|
Feb 10, 2022 |
|
Building Machine Learning Infrastructure at Netflix and beyond
|
Feb 03, 2022 |
|
Democratizing NLP
|
Jan 27, 2022 |
|
Machine Learning at Discord
|
Jan 20, 2022 |
|
Applications of Knowledge Graphs
|
Jan 13, 2022 |
|
Key AI and Data Trends for 2022
|
Jan 06, 2022 |
|
Large Language Models
|
Dec 30, 2021 |
|
Data and Machine Learning Platforms at Shopify
|
Dec 23, 2021 |
|
What is AI Engineering?
|
Dec 16, 2021 |
|
NLP and AI in Financial Services
|
Dec 09, 2021 |
|
Modern Experimentation Platforms
|
Dec 02, 2021 |
|
Reinforcement Learning in Real-World Applications
|
Nov 24, 2021 |
|
MLOps Anti-Patterns
|
Nov 18, 2021 |
|
Why You Need a Modern Metadata Platform
|
Nov 11, 2021 |
|
Making Large Language Models Smarter
|
Nov 04, 2021 |
|
AI Begins With Data Quality
|
Oct 28, 2021 |
|
Modernizing Data Integration
|
Oct 21, 2021 |
|
Deploying Machine Learning Models Safely and Systematically
|
Oct 14, 2021 |
|
Large-scale machine learning and AI on multi-modal data
|
Oct 07, 2021 |
|
Machine Learning in Astronomy and Physics
|
Sep 30, 2021 |
|
The Unreasonable Effectiveness of Multiple Dispatch
|
Sep 23, 2021 |
|
How To Lead In Data Science
|
Sep 16, 2021 |
|
Why interest in graph databases and graph analytics are growing
|
Sep 09, 2021 |
|
The State of Data Journalism
|
Sep 02, 2021 |
|
Auditing machine learning models for discrimination, bias, and other risks
|
Aug 26, 2021 |
|
An oscilloscope for deep learning
|
Aug 19, 2021 |
|
What’s new in data engineering
|
Aug 12, 2021 |
|
The evolution of the data science role and of data science tools
|
Aug 05, 2021 |
|
Data Augmentation in Natural Language Processing
|
Jul 29, 2021 |
|
Storage Technologies for a Multi-cloud World
|
Jul 22, 2021 |
|
Building a next-generation dataflow orchestration and automation system
|
Jul 15, 2021 |
|
Building a flexible, intuitive, and fast forecasting library
|
Jul 08, 2021 |
|
Neural Models for Tabular Data
|
Jul 01, 2021 |
|
Training and Sharing Large Language Models
|
Jun 24, 2021 |
|
Questioning the Efficacy of Neural Recommendation Systems
|
Jun 17, 2021 |
|
Automation in Data Management and Data Labeling
|
Jun 10, 2021 |
|
Reinforcement Learning For the Win
|
Jun 03, 2021 |
|
How Companies Are Investing in AI Risk and Liability Minimization
|
May 27, 2021 |
|
The Future of Machine Learning Lies in Better Abstractions
|
May 20, 2021 |
|
Why You Should Optimize Your Deep Learning Inference Platform
|
May 13, 2021 |
|
AI Beyond Automation
|
May 06, 2021 |
|
Injecting Software Engineering Practices and Rigor into Data Governance
|
Apr 29, 2021 |
|
Building a data store for unstructured data and deep learning applications
|
Apr 22, 2021 |
|
How Technology Companies Are Using Ray
|
Apr 15, 2021 |
|
Data quality is key to great AI products and services
|
Apr 08, 2021 |
|
Machine Learning in Healthcare
|
Apr 01, 2021 |
|
Measuring the Impact of AI and Machine Learning Research
|
Mar 25, 2021 |
|
The Mathematics of Data Integration and Data Quality
|
Mar 18, 2021 |
|
Pricing Data Products
|
Mar 11, 2021 |
|
Challenges, Opportunities, and Trends in EdTech
|
Mar 04, 2021 |
|
Towards Simple, Interpretable, and Trustworthy AI
|
Feb 25, 2021 |
|
The Rise of Metadata Management Systems
|
Feb 18, 2021 |
|
Tools for building robust, state-of-the-art machine learning models
|
Feb 11, 2021 |
|
Creating Master Data at Scale with AI
|
Feb 04, 2021 |
|
Bringing AI and computing closer to data sources
|
Jan 28, 2021 |
|
Deep Learning in the Sciences
|
Jan 21, 2021 |
|
Taking business intelligence and analyst tools to the next level
|
Jan 14, 2021 |
|
Data exchanges and their applications in healthcare and the life sciences
|
Jan 07, 2021 |
|
Key AI and Data Trends for 2021
|
Dec 31, 2020 |
|
A Unified Management Model for Successful Data-Focused Teams
|
Dec 24, 2020 |
|
Security and privacy for the disoriented
|
Dec 17, 2020 |
|
The State of Responsible AI
|
Dec 10, 2020 |
|
Improving the robustness of natural language applications
|
Dec 03, 2020 |
|
End-to-end deep learning models for speech applications
|
Nov 26, 2020 |
|
Securing machine learning applications
|
Nov 19, 2020 |
|
Testing Natural Language Models
|
Nov 12, 2020 |
|
Detecting Fake News
|
Nov 05, 2020 |
|
The Computational Limits of Deep Learning
|
Oct 29, 2020 |
|
Making deep learning accessible
|
Oct 22, 2020 |
|
Building and deploying knowledge graphs
|
Oct 15, 2020 |
|
Financial Time Series Forecasting with Deep Learning
|
Oct 08, 2020 |
|
A programming language for scientific machine learning and differentiable programming
|
Oct 01, 2020 |
|
Using machine learning to modernize medical triage and monitoring systems
|
Sep 24, 2020 |
|
Connecting Reinforcement Learning to Simulation Software
|
Sep 17, 2020 |
|
Using machine learning to detect shifts in government policy
|
Sep 10, 2020 |
|
What is AI Assurance?
|
Sep 03, 2020 |
|
Best practices for building conversational AI applications
|
Aug 27, 2020 |
|
Tools for scaling machine learning
|
Aug 20, 2020 |
|
From Python beginner to seasoned software engineer
|
Aug 13, 2020 |
|
Assessing Models and Simulations of Epidemic Infectious Diseases
|
Aug 06, 2020 |
|
Improving the hiring pipeline for software engineers
|
Jul 30, 2020 |
|
How to build state-of-the-art chatbots
|
Jul 23, 2020 |
|
Democratizing machine learning
|
Jul 16, 2020 |
|
How graph technologies are being used to solve complex business problems
|
Jul 09, 2020 |
|
Machines for unlocking the deluge of COVID-19 papers, articles, and conversations
|
Jul 02, 2020 |
|
Designing machine learning models for both consumer and industrial applications
|
Jun 25, 2020 |
|
Building open source developer tools for language applications
|
Jun 18, 2020 |
|
Viewing machine learning and data science applications as sociotechnical systems
|
Jun 11, 2020 |
|
Identifying and mitigating liabilities and risks associated with AI
|
Jun 04, 2020 |
|
How machine learning is being used in quantitative finance
|
May 28, 2020 |
|
Understanding machine learning model governance
|
May 21, 2020 |
|
Improving performance and scalability of data science libraries
|
May 14, 2020 |
|
Why TinyML will be huge
|
May 07, 2020 |
|
An open source platform for training deep learning models
|
Apr 30, 2020 |
|
Algorithms that continually invent both problems and solutions
|
Apr 23, 2020 |
|
Computational Models and Simulations of Epidemic Infectious Diseases
|
Apr 16, 2020 |
|
Human-in-the-loop machine learning
|
Apr 09, 2020 |
|
Next-generation simulation software will incorporate deep reinforcement learning
|
Apr 02, 2020 |
|
Business at the speed of AI: Lessons from Shopify
|
Mar 26, 2020 |
|
How deep learning is being used in search and information retrieval
|
Mar 19, 2020 |
|
The responsible development, deployment and operation of machine learning systems
|
Mar 12, 2020 |
|
Hyperscaling natural language processing
|
Mar 05, 2020 |
|
What businesses need to know about model explainability
|
Feb 27, 2020 |
|
Scalable Machine Learning, Scalable Python, For Everyone
|
Feb 20, 2020 |
|
Computational humanness, analogy and innovation, and soft concepts
|
Feb 13, 2020 |
|
Building domain specific natural language applications
|
Feb 06, 2020 |
|
The state of privacy-preserving machine learning
|
Jan 30, 2020 |
|
Taking messaging and data ingestion systems to the next level
|
Jan 23, 2020 |
|
Business at the speed of AI: Lessons from Rakuten
|
Jan 16, 2020 |
|
The combination of the right software and commodity hardware will prove capable of handling most machine learning tasks
|
Jan 09, 2020 |
|
Key AI and Data Trends for 2020
|
Dec 26, 2019 |
|
The evolution of TensorFlow and of machine learning infrastructure
|
Dec 12, 2019 |
|
Building large-scale, real-time computer vision applications
|
Nov 26, 2019 |
|
Taking stock of foundational tools for analytics and machine learning
|
Nov 12, 2019 |