The Data Exchange with Ben Lorica
Alle afleveringen
375 afleveringen, van nieuw naar oud
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Why You Should Optimize Your Deep Learning Inference Platform
13 mei 2021 · 42 min
In this episode of the Data Exchange, I speak with Yonatan Geifman, CEO and co-founder of Deci, as well as with Ran El-Yaniv, Chief Scientist and co-founder of Deci and Professor of Computer Science at Technion. Lees meer
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AI Beyond Automation
6 mei 2021 · 43 min
In this episode of the Data Exchange, our special correspondent and managing editor Jenn Webb organized a mini-panel composed of myself and Jerry Overton, who previously served as a DXC Fellow, Head of AI at DXC Technology. We discussed Jerry’s experience helping companies across many industries adopt data science and machine learning. We spoke about Centers of Excellence for AI, automation in the workforce, human-centered and responsible AI, and cyborgs! Lees meer
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Injecting Software Engineering Practices and Rigor into Data Governance
29 april 2021 · 43 min
As the amount and importance of data grows within organizations, there is growing interest in tools that enable them to strategically utilize, manage, and unlock their data resources. This week’s guest is Steven (Steve) Touw, cofounder and CTO of Immuta, a startup that builds tools that help companies address data governance, data discovery, data privacy and security. Lees meer
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Building a data store for unstructured data and deep learning applications
22 april 2021 · 36 min
In this episode of the Data Exchange, I speak with Davit Buniatyan, founder and CEO of ActiveLoop, a startup building data management tools for unstructured data types commonly associated with deep learning. Lees meer
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How Technology Companies Are Using Ray
15 april 2021 · 35 min
In this episode of the Data Exchange, I speak Zhe Zhang, Engineering Manager at Anyscale where he leads the team that works on the Ray and its ecosystem of libraries and partners. Ray is an open source, general purpose framework for building distributed applications (more details in this post and video). Lees meer
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Data quality is key to great AI products and services
8 april 2021 · 41 min
In this episode of the Data Exchange, I speak with Abe Gong, CEO and co-founder at Superconductive, a startup founded by the team behind the Great Expectations (GE) open source project. GE is one of a growing number of tools aimed at improving data quality through tools for validation and testing. Other projects in this area include TensorFlow DV, assertr, dataframe-rules-engine, deequ, data-describe, and Apache Griffin. Lees meer
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Machine Learning in Healthcare
1 april 2021 · 43 min
In this episode of the Data Exchange, I speak with Parisa Rashidi, Associate Professor at the Department of Biomedical Engineering at University of Florida. Parisa is a computer scientist and machine learning researcher who specializes in applications of ML to healthcare and biomedical domains. Lees meer
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Measuring the Impact of AI and Machine Learning Research
25 maart 2021 · 41 min
In this episode of the Data Exchange, our special correspondent and managing editor Jenn Webb organized a mini-panel composed of myself and Simon Rodriguez, Data Research Assistant at the Center for Security and Emerging Technology (CSET) at Georgetown University. Through a series of reports and data briefs, CSET provides policymakers with data rich material to inform and guide public policy. Lees meer
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The Mathematics of Data Integration and Data Quality
18 maart 2021 · 44 min
In this episode of the Data Exchange, I speak with Ryan Wisnesky, CTO and co-founder of Conexus, a startup that uses techniques from mathematics and incorporates them into novel tools for data integration, data management, and knowledge management. Lees meer
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Pricing Data Products
11 maart 2021 · 46 min
In this episode of the Data Exchange, I speak with Jian Pei, Professor, School of Computing Science, Simon Fraser University. His research spans data science, big data, data mining, and database systems. But in this podcast we talk about tools for estimating the economic value of data. Lees meer
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Challenges, Opportunities, and Trends in EdTech
4 maart 2021 · 52 min
In this episode of the Data Exchange, our special correspondent and managing editor Jenn Webb and I speak with Sharon Zhou, a PhD student in Computer Science at Stanford University. Sharon has been teaching very popular courses on GANs (generative adversarial networks) on Coursera. In this conversation we examine the state of Education Technology (EdTech), learning platforms, and other tools for teaching online. A year into the global pandemic, we discuss advantages and disadvantages of various technologies for delivering classes, as well as broader issues in education. Lees meer
We also took the opportunity to discuss Sharon’s work on deep learning, including her work using GANs to help the general public and policy makers to better understand the implications of climate change.
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Towards Simple, Interpretable, and Trustworthy AI
25 februari 2021 · 42 min
In this episode of the Data Exchange I speak with Sheldon Fernandez, CEO at Darwin AI, and Alex Wong, Professor at the University of Waterloo, Co-Founder of DarwinAI (Chief Scientist) and Euclid Labs. Lees meer
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The Rise of Metadata Management Systems
18 februari 2021 · 30 min
In this episode of the Data Exchange, our special correspondent and managing editor Jenn Webb organized a mini-panel composed of myself and Assaf Araki, investment manager at Intel Capital. Assaf and I have written a series of articles and this interview took place shortly before the release of our most recent collaboration: The Growing Importance of Metadata Management Systems. We devote this episode to how metadata management will impact many enterprise data systems. Lees meer
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Tools for building robust, state-of-the-art machine learning models
11 februari 2021 · 42 min
In this episode of the Data Exchange I speak with Michael Mahoney, a researcher at UC Berkeley’s RISELab, ICSI, and Department of Statistics. Mike and his collaborators were recently awarded one of the best papers awards at NeurIPS 2020, one of leading research conferences in machine learning. Lees meer
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Download the 2021 Trends Report: Data, Machine Learning, AI and learn emerging technologies for data management, data engineering, machine learning, and AI.
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Creating Master Data at Scale with AI
4 februari 2021 · 38 min
In this episode of the Data Exchange, our special correspondent and managing editor Jenn Webb organized a mini-panel composed of myself and Sonal Goyal, founder of Aficx, a startup that builds solutions to unify data silos for cross selling and upselling, fraud and risk management, compliance and regulatory reporting. Lees meer
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Bringing AI and computing closer to data sources
28 januari 2021 · 49 min
In this episode of the Data Exchange I speak with Bruno Fernandez-Ruiz, CTO and cofounder of Nexar, Inc., a startup that uses dash cams powered by vision-based applications to improve driving and logistics. Lees meer
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Download the 2021 Trends Report: Data, Machine Learning, AI and learn emerging technologies for data management, data engineering, machine learning, and AI.
Detailed show notes can be found on The Data Exchange web site.
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Deep Learning in the Sciences
21 januari 2021 · 40 min
In this episode of the Data Exchange I speak Bharath (“Bart”) Ramsundar, author and open source developer. While in graduate school, Bart created deepchem, an open source project that aims to democratize deep learning for science. Lees meer
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Taking business intelligence and analyst tools to the next level
14 januari 2021 · 48 min
In this episode of the Data Exchange I speak with Ira Cohen: co-founder and Chief Data Scientist at Anodot, a startup that uses AI for business monitoring. Lees meer
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Data exchanges and their applications in healthcare and the life sciences
7 januari 2021 · 52 min
In this episode of the Data Exchange I speak with Omer Dror, CEO and co-founder of Lynx.md, a startup that enables data exchanges and markets in the health and life sciences. Data exchanges match data providers and suppliers, with data buyers and users. Lees meer
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Detailed show notes can be found on The Data Exchange web site.
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Key AI and Data Trends for 2021
31 december 2020 · 53 min
In this episode of the Data Exchange, our special correspondent and editor Jenn Webb organized a mini-panel composed of myself and my podcast co-organizer Mikio Braun. We began our conversation by taking a look back at some of our predictions from last year which included applications of reinforcement learning, end-to-end machine learning platforms, and more. This year we organized trends in the following categories: Lees meer
Tools for building and managing machine learning and AI applications.
Foundational data technologies.
(Cloud) Computing and Hardware.
Emerging trends in AI.
This episode provides a sneak peak to a formal report that comes out in early 2021. Sign-up here and we will send you a copy of our 2021 Trends Report as soon as it comes out.
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A Unified Management Model for Successful Data-Focused Teams
24 december 2020 · 48 min
In this episode of the Data Exchange, our special correspondent and editor Jenn Webb organized a mini-panel composed of myself and Jesse Anderson, Managing Director at the Big Data Institute. Jesse is the author of a recent book entitled “Data Teams: A Unified Management Model for Successful Data-Focused Teams”. Lees meer
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Download the 2020 NLP Survey Report and learn how companies are using and implementing natural language technologies.
Detailed show notes can be found on The Data Exchange web site.
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Security and privacy for the disoriented
17 december 2020 · 47 min
In this episode of the Data Exchange I speak with Dan Geer, Senior Fellow at In-Q-tel and Andrew Burt, co-founder and Managing Partner of BNH.ai and Chief Legal Officer at Immuta. Dan is one the leading experts in cybersecurity and risk management, and he has written numerous influential essays on security, privacy, and risk (examples here and here). Andrew serves as co-founder of a new law firm focused on AI compliance and related topics. BNH is the first law firm run by lawyers and technologists focused on helping companies identify and mitigate those risks. Lees meer
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Download the 2020 NLP Survey Report and learn how companies are using and implementing natural language technologies.
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The State of Responsible AI
10 december 2020 · 39 min
In this episode of the Data Exchange I speak with Dr. Rumman Chowdhury, founder of Parity, a startup building products and services to help companies build and deploy ethical and responsible AI. Prior to starting Parity, Rumman was Global Lead for Responsible AI at Accenture Applied Intelligence. Lees meer
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Download the 2020 NLP Survey Report and learn how companies are using and implementing natural language technologies.
Detailed show notes can be found on The Data Exchange web site.
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Improving the robustness of natural language applications
3 december 2020 · 38 min
In this episode of the Data Exchange I speak with Jack Morris, a member of Google’s AI Residency program. He is co-creator of TextAttack, an open source framework for adversarial attacks, data augmentation, and adversarial training in NLP (paper, code). Lees meer
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Download the 2020 NLP Survey Report and learn how companies are using and implementing natural language technologies.
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End-to-end deep learning models for speech applications
26 november 2020 · 44 min
In this episode of the Data Exchange I speak with Yishay Carmiel, an AI Leader at Avaya, a company focused on digital communications. He has long been immersed in speech technologies and conversational applications and I have frequently used him as a resource to understand the latest in speech systems. We previously co-wrote an article that listed out recommendations for teams building speech applications. We also had a previous conversation on the impact of deep learning and big data on speech technologies. Lees meer
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Download the 2020 NLP Survey Report and learn how companies are using and implementing natural language technologies.
Detailed show notes can be found on The Data Exchange web site.
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Securing machine learning applications
19 november 2020 · 46 min
In this episode of the Data Exchange I speak with Ram Shankar, a Berkman Klein Center affiliate, and a researcher and engineer who works at the intersection of Machine Learning and Security. This episode is focused on the current state of tools and techniques for securing machine learning applications. Lees meer
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Download the 2020 NLP Survey Report and learn how companies are using and implementing natural language technologies.
Detailed show notes can be found on The Data Exchange web site.
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Testing Natural Language Models
12 november 2020 · 30 min
In this episode of the Data Exchange I speak with Marco Ribeiro, Senior Researcher at Microsoft Research, and lead author of the award-winning paper ”Beyond Accuracy: Behavioral Testing of NLP models with CheckList”. As machine learning gains importance across many application domains and industries, there is a growing need to formalize how ML models get built, deployed, and used. MLOps is an emerging set of practices focused on productionizing the machine learning lifecycle, that draws ideas from CI/CD. But even before we talk about deploying a model to production, how do we inject more rigor into the model development process? Lees meer
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Download the 2020 NLP Survey Report and learn how companies are using and implementing natural language technologies.
Detailed show notes can be found on The Data Exchange web site.
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Detecting Fake News
5 november 2020 · 33 min
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In this episode of the Data Exchange I speak with Xinyi Zhou, a graduate student in Computer and Information Science at Syracuse University. Xinyi and her advisor (Reza Zafarani) recently wrote a comprehensive survey paper entitled “A Survey of Fake News: Fundamental Theories, Detection Methods, and Opportunities”. They set out to organize the many different methods and perspectives used to detect fake news. Their paper is a great resource for anyone wanting to understand the strengths and limitations of various state-of-the-art techniques, and a feel for where the research community might be headed in the near future.
Download the 2020 NLP Survey Report and learn how companies are using and implementing natural language technologies.
Detailed show notes can be found on The Data Exchange web site.
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The Computational Limits of Deep Learning
29 oktober 2020 · 43 min
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In this episode of the Data Exchange I speak with Neil Thompson, Research Scientist at Computer Science and Artificial Intelligence Lab (CSAIL) and the Initiative on the Digital Economy, both at MIT. I wanted Neil on the podcast to discuss a recent paper he co-wrote entitled “The Computational Limits of Deep Learning” (summary version here). This paper provides estimates of the amount of computation, economic costs, and environmental impact that come with increasingly large and more accurate deep learning models.
Download the 2020 NLP Survey Report and learn how companies are using and implementing natural language technologies.
Detailed show notes can be found on The Data Exchange web site.
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Making deep learning accessible
22 oktober 2020 · 47 min
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In this episode of the Data Exchange I speak with Piero Molino, creator of Ludwig, a toolbox that allows users to train and test deep learning models through a declarative interface. Piero created Ludwig while serving as a Senior Research Scientist at Uber AI. He originally created Ludwig for his personal use and it slowly garnered users within Uber. By the time it was open sourced in early 2019, the project immediately found a receptive audience in the conferences I was chairing at the time.
Download the 2020 NLP Survey Report and learn how companies are using and implementing natural language technologies.
Detailed show notes can be found on The Data Exchange web site.
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Building and deploying knowledge graphs
15 oktober 2020 · 50 min
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In this episode of the Data Exchange I speak with Mayank Kejriwal, a Research Assistant Professor in the Department of Industrial and Systems Engineering, and a Research Lead at the USC Information Sciences Institute. The focus of our conversation is knowledge graphs, a collection of linked entities (objects, events, concepts) that is used in many AI applications. For example, Google uses a knowledge graph to enhance its search engine results with infoboxes that appear in some search results. Other areas where knowledge graphs are common include e-commerce, healthcare, and financial services.
Download the 2020 NLP Survey Report and learn how companies are using and implementing natural language technologies.
Detailed show notes can be found on The Data Exchange web site.
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Financial Time Series Forecasting with Deep Learning
8 oktober 2020 · 37 min
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In this episode of the Data Exchange I speak with Murat Özbayoğlu, Chair of Artificial Intelligence Engineering at TOBB University of Economics and Technology in Ankara, Turkey. I wanted Murat on to discuss two survey papers he and his colleagues wrote on the use of deep learning in finance.
I’ve long been fascinated with finance and trading. My first job after I left academia was as the lead quant in a hedge fund, and ever since, I’ve tried to stay abreast of what tools and techniques quants and data scientists in finance are using. Forecasting in this setting usually means price prediction or price movement (trend) prediction. Output of forecasting models are used to inform investment decisions. What makes finance particularly challenging is that many people are using the same underlying data (time series of prices/values), and thus as Murat notes, many firms use alternative data sources (such as text) as potential sources of additional signal.
Download the 2020 NLP Survey Report and learn how companies are using and implementing natural language technologies.
Detailed show notes can be found on The Data Exchange web site.
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A programming language for scientific machine learning and differentiable programming
1 oktober 2020 · 50 min
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In this episode of the Data Exchange I speak with Viral Shah, co-founder and CEO, Julia Computing. Along with his Julia language co-creators, Viral was awarded the 2019 Wilkinson prize, for outstanding contributions in the field of numerical software. I first tweeted about Julia at the beginning of March 2012 after seeing Jeff Bezanson give a talk in Stanford. I’ve dabbled with it here and there, but have never used it for a major project. Over the past few years, Julia continued to add packages at a steady pace and the package manager is really quite impressive and solid. We spent much of the podcast discussing the state of Julia, Julia 1.5, and the Julia ecosystem and community.
Download the 2020 NLP Survey Report and learn how companies are using and implementing natural language technologies.
Detailed show notes can be found on The Data Exchange web site.
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Using machine learning to modernize medical triage and monitoring systems
24 september 2020 · 33 min
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In this episode of the Data Exchange I speak with Kira Radinsky, Chairwoman & Chief Technology Officer at Diagnostic Robotics, a startup using AI to build a medical-grade triage and clinical-predictions platform. She is also a visiting Professor at Technion – Israel Institute of Technology. Kira has extensive experience using data science and machine learning in a variety of settings, and she was one of the pioneers in using alternative data sources to augment forecasting models. Her earlier work includes models to predict social unrest as well as disease outbreaks. The global pandemic has increased the need for experts in medical data mining, a field where Kira has made many significant contributions to.
Download the 2020 NLP Survey Report and learn how companies are using and implementing natural language technologies.
Detailed show notes can be found on The Data Exchange web site.
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Connecting Reinforcement Learning to Simulation Software
17 september 2020 · 53 min
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In this episode of the Data Exchange I speak with Max Pumperla, deep learning engineer at Pathmind and a contributor to many open source projects in data science and machine learning. Max is speaking on applications of reinforcement learning to simulation problems at the upcoming Ray Summit, a free virtual conference scheduled for Sep 30th and Oct 1st. Earlier this year I had Pathmind’s CEO Chris Nicholson on this podcast and he described how reinforcement learning might play a role in simulation problems. In this episode, Max provides an update and a technical description of how Pathmind uses reinforcement learning, RLLib, and Tune, to help users of AnyLogic, a widely used software for simulations in business applications.
Detailed show notes can be found on The Data Exchange web site.
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Using machine learning to detect shifts in government policy
10 september 2020 · 43 min
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In this episode of the Data Exchange I speak with Weifeng Zhong, Senior Research Fellow at the Mercatus Center at George Mason University. He is the core maintainer of the open source Policy Change Index (PCI), a framework that uses machine learning and NLP to “process and read” large amounts of text to discern government priorities and policies. The initial PCI is focused on major policy shifts in China and uses NLP and machine learning to process and analyze the People’s Daily.
Detailed show notes can be found on The Data Exchange web site.
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What is AI Assurance?
3 september 2020 · 38 min
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In this episode of the Data Exchange I speak with Ofer Razon, co-Founder & CEO at Superwise, a startup focused on building tools that help companies gain more visibility and control of machine learning models in production. Ofer and Superwise are part of a group in the early stage of building tools and best practices for scaling AI operations. The goal is to help multiple stakeholders build the necessary solutions to evaluate models, receive alerts and troubleshoot on time, validate, observe, and gather insights for more efficiency. AI assurance will ultimately bring together different parts of an organization including business, data science and operational teams, legal and compliance, and privacy and security.
Detailed show notes can be found on The Data Exchange web site.
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Best practices for building conversational AI applications
27 augustus 2020 · 44 min
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In this episode of the Data Exchange I speak with Alan Nichol, co-founder and CTO of Rasa, the startup behind the popular open source framework for building conversational AI applications. I had Alan on as a guest in my old podcast, and that conversation was focused on components of Rasa and of chatbot applications. This time around we talked about the state of developer tools, as well as software engineering best practices for building conversational AI applications.
Detailed show notes can be found on The Data Exchange web site.
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Tools for scaling machine learning
20 augustus 2020 · 39 min
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In this episode of the Data Exchange, our special correspondent and editor Jenn Webb organized a mini-panel composed of myself and Paco Nathan, author, teacher, and founder of Derwen.ai, a boutique consulting firm specializing in Data, machine learning (ML), and AI.
We began by discussing tools for scaling machine learning. Paco and I have been impressed with the growth in the number of libraries being built on top of Ray as well as the variety of use cases that are being addressed by Ray.
We then discussed the upcoming Ray Summit, a FREE virtual conference featuring over 50 talks on machine learning, Python, serverless and cloud native technologies.
We also looked back at the first eight months of this podcast (here’s an archive of previous episodes). Both Paco and Jenn were instrumental in getting this podcast started, and I wanted to mark crossing the 30episode threshold with a short retrospective.
Detailed show notes can be found on The Data Exchange web site.
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From Python beginner to seasoned software engineer
13 augustus 2020 · 49 min
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In this episode of the Data Exchange I speak with Joel Grus, Principal Engineer at the Capital Group. He previously served as a Senior Research Engineer at the Allen Institute for AI, where he was a core engineer on AllenNLP, a PyTorch-based library for NLP research. Joel is also the author of one of the most widely read books in data science – Data Science from Scratch. Joel has a new book which I recommend highly: Ten Essays on Fizz Buzz.
Detailed show notes can be found on The Data Exchange web site.
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Assessing Models and Simulations of Epidemic Infectious Diseases
6 augustus 2020 · 44 min
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In this episode of the Data Exchange I bring back Bruno Gonçalves, a data scientist working at the intersection of Data Science and Finance. Bruno was a guest on this podcast in April, when the COVID-19 cases were spiking in his home base in NYC. Prior to shifting over to data science, he spent several years as a researcher focused on mathematical models in Epidemiology – a field with a rich history dating as far back as the 1920s. I wanted to bring him back to get an update on the mathematical models being used to model the global pandemic.
Detailed show notes can be found on The Data Exchange web site.
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Improving the hiring pipeline for software engineers
30 juli 2020 · 52 min
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In this episode of the Data Exchange I speak with Karthik Ramasamy (Senior Director Of Engineering at Splunk) and Arun Kejariwal (experienced engineering leader). The focus of our conversation was hiring technical talent such as software engineers, developers, data scientists, architects, etc. The global pandemic has caused a global economic slowdown and massive layoffs across many industry sectors. But many companies are still hiring and companies are still competing for technical talent. In our bi-weekly newsletter, links pertaining to hiring and work culture have been very popular from the outset.
Detailed show notes can be found on The Data Exchange web site.
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How to build state-of-the-art chatbots
23 juli 2020 · 45 min
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In this episode of the Data Exchange I speak with Lauren Kunze, CEO of Pandorabots, a widely used platform for building chatbots. About four years ago I attended Bot Day in San Francisco, and at the time, chatbots were very much in the news. Today, chatbots are used across many industries and use cases, and on many types of devices. Lauren Kunze and Pandorabots have been at the forefront of many important developments in the conversational applications space. They assist many enterprises build and deploy bots, and they also create leading edge chatbots like Mitsuku.
Detailed show notes can be found on The Data Exchange web site.
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Democratizing machine learning
16 juli 2020 · 44 min
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In this episode of the Data Exchange I speak with Ameet Talwalkar, co-founder and Chief Scientist at Determined AI1, and an Assistant Professor in the Machine Learning Department at Carnegie Mellon University. A few months ago, I spoke with one of Ameet’s co-founders (Evan Sparks), around the time they announced that they were open sourcing the Determined Training Platform (DTP). Ameet and I started off by discussing the first few months of DTP as an open source project, specifically initial feedback from users, applications and use cases that they are seeing, and much more.
Detailed show notes can be found on The Data Exchange web site.
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How graph technologies are being used to solve complex business problems
9 juli 2020 · 50 min
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In this episode of the Data Exchange I speak with Denise Gosnell, Chief Data Officer at DataStax. Denise is also the co-author of the new book, The Practitioner’s Guide to Graph Data, which covers foundational tools and techniques needed to utilize graph technologies in production applications. This conversation is a great introduction to what has become an important class of technologies and tools. Graph technologies are used to power a wide array of applications, including recommendation engines, fraud detection systems, identity and access management, search, and many other use cases.
Detailed show notes can be found on The Data Exchange web site.
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Machines for unlocking the deluge of COVID-19 papers, articles, and conversations
2 juli 2020 · 43 min
In this episode of the Data Exchange I speak with Amy Heineike, Principal Product Architect at Primer.ai, a startup building machines that can read and write. Primer recently used their technology to build COVID-19 Primer, a web site that provides an overview of the latest research papers, media coverage, and social media conversations pertaining to COVID-19. Lees meer
Detailed show notes can be found on The Data Exchange web site.
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Designing machine learning models for both consumer and industrial applications
25 juni 2020 · 34 min
In this episode of the Data Exchange I speak with Christopher Nguyen, CEO of Arimo (a Panasonic company). I first met Christopher in the early days of Apache Spark, Arimo was one of the first companies to embrace Spark and make it a central component of their data platform. He was also an early proponent of exploring deep learning for enterprise applications. A serial entrepreneur, Christopher was also an Engineering Director at Google where he was responsible for Google Apps. Lees meer
Detailed show notes can be found on The Data Exchange web site.
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Building open source developer tools for language applications
18 juni 2020 · 44 min
In this episode of the Data Exchange I speak with Matthew Honnibal, founder of Explosion AI, a startup focused on building developer tools for AI and natural language processing. Matthew and team are the creators of popular tools like spaCy (NLP), Thinc (lightweight deep learning library), and Prodigy (annotation and active learning). Lees meer
Our conversation focused on a range of topics including:
spaCy
Thinc
Explosion AI and Prodigy
Distributed computing with Ray
Detailed show notes can be found on The Data Exchange web site.
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Viewing machine learning and data science applications as sociotechnical systems
11 juni 2020 · 41 min
In this episode of the Data Exchange I speak with Chris Wiggins, Associate Professor at Columbia University, Chief Data Scientist at the New York Times, and co-founder of hackNY. He began his career in theoretical physics but he always had a strong interest in applying quantitative techniques to other disciplines. Early in his career he became interested in applications of machine learning to problems in biology and the health sciences. Lees meer
Our conversation focused on a range of topics including:
How he shifted his focus from physics to machine learning and data science.
Applications of reinforcement learning.
“Data scientist” as a job title, and data science training programs.
Ethics in machine learning and data science, including training the next generation of data scientists.
A 2015 essay written by Michael Jordan and Tom Mitchell.
Detailed show notes can be found on The Data Exchange web site.
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Identifying and mitigating liabilities and risks associated with AI
4 juni 2020 · 35 min
In this episode of the Data Exchange I speak with Andrew Burt, Chief Legal Officer at Immuta and co-founder and Managing Partner of BNH.ai, a new law firm focused on AI compliance and related topics. As AI and machine learning become more widely deployed, lawyers and technologists need to collaborate more closely so they can identify and mitigate liabilities and risks associated with AI. BNH is the first law firm run by lawyers and technologists focused on helping companies identify and mitigate those risks. Lees meer
Our conversation focused on a range of topics including:
Why a law firm is the right vehicle for helping companies manage and mitigate risks associated with AI and machine learning.
The legal profession’s long history in managing risk and regulatory frameworks.
Model governance.
Incident response and recovery.
Detailed show notes can be found on The Data Exchange web site.
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