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If you want to learn how data science, artificial intelligence, machine learning, and deep learning are being used to change our world for the better, you’ve subscribed to the right podcast. We talk to entrepreneurs and experts about their experiences employing new technology—their approach, their successes, their failures, and the outcomes of their work. We make these difficult concepts accessible to a wide audience.
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Data Crunch
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Creating a Database for AI with Activeloop
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27:50
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Working with structured and semistructured data can be hard, but it's currently much easier than working with unstructured data, like images, video, audio, and text. We talk with Davit Buniatyan, CEO of Activeloop, who chats with us about how he works to make unstructured data for machine learning easier and faster to work with.…
What's it like to build an AI product in an industry that still uses outdated project management technology and has no clear conceptual model? After receiving his PhD at Stanford, René Morkos speaks to this very situation. He describes his journey building an AI product in the construction industry.By Data Crunch Corporation
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Data Crunch
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The Future of Unstructured Data with Graviti
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29:38
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After graduating from the University of Pennsylvania with a master’s degree in artificial intelligence/robotics, Edward Cui was one of the first Uber self-driving car engineers. He’s had a lot of experience working with unstructured data and shares how we can increase the efficiency of modeling unstructured data by an order of magnitude.…
What is the secret culprit behind overworked teachers and administrators in much of the educational system? We're joined by one of Data Crunch's finest, James Thomas, who tells from both a technological and personal standpoint the real difficulties faced by our teachers and students, and how the right approach to data can solve many of their proble…
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Data Crunch
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CEOs: Here Is What You Should Know about GPT-3
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If you haven't heard, GPT-3 is a machine learning model that can write text. Text that looks like a human wrote it—almost out of thin air. The real opportunity is in the ease of use. GPT-3 doesn't replace your writers. It augments them, making writing faster and more accessible without compromising your results. The last thing you want to do is com…
Higher education institutions house lots of important data that bad actors can access and sell on the dark web, like students' social security numbers, financial aid information, and national security research. Protecting this information should be a high priority for institutions, but it's not always easy to apply best practices and enforce compli…
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Data Crunch
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GE Aviation's Dinakar Deshmukh Discusses Data
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17:16
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As the VP of Data Science and Analytics for GE Aviation, Dinakar Deshmukh talks about how he, and the large team he is over, solve big problems internally and externally by splicing the power of data science with deep domain knowledge.By Data Crunch Corporation
Telmo Silva created ClicData, an end-to-end SAAS BI platform, which as he describes, is the little guy coming up in the BI platform world. He talks about how his company was started, where it’s been, and where it’s going with cutting-edge R&D. He also offers additional thoughts on the role of data in the business world today.…
Keeping quality customers is the aim of nearly every healthy business. Cactus Raazi challenges the typical methods of doing this and suggests alternative data-focused pricing strategies in order for businesses to survive in the future.By Data Crunch Corporation
Robin Purohit talks to us about how he and his company are creating AI tools to help developers be more effective. Learn what their approach is, how they're training their models, and where they're headed in the future.By Data Crunch Corporation
By Data Crunch Corporation
By Data Crunch Corporation
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Data Crunch
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Machine Learning and Flight with Ian Cassidy
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22:07
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Ian Cassidy: When you did a PCA, a principal component analysis, like, it was like beautiful. There was, like, a red circle in the middle of, you know, the blue on purchase, you know, data points. And there were the red purchase ones and they were all clustered together. It was, it was really interesting. And like the, the machine learning model ha…
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Data Crunch
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Implementing ML Algorithms with Ylan Kazi
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26:28
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By Data Crunch Corporation
By Data Crunch Corporation
Many companies are sitting on data assets that could be revenue streams for them, without knowing it. Matt Staudt of VDC discusses making latent data profitable.Ginette: I'm Ginette, Curtis: and I'm Curtis, Ginette: and you are listening to Data Crunch, Curtis: a podcast about how applied data science, machine learning, and artificial intelligence …
By Data Crunch Corporation
By Data Crunch Corporation
With recent events being what they are, epidemiology has come into the spotlight. What do epidemiologists do and how does data shape their everyday experience? Sitara and Mee-a from "Donuts and Data" fill us in. Ginette: I'm Ginette, Curtis: and I'm Curtis, Ginette: and you are listening to Data Crunch, Curtis: a podcast about how applied data scie…
By Data Crunch Corporation
By Data Crunch Corporation
For David Guralnick, education, AI, and cognitive psychology have always held possibility. With many years of experience in this niche, David runs a company that designs education programs, which employ AI and machine learning, for large companies, universities, and everything in between. David Guralnick: Somehow what's happened in a lot of the use…
By Data Crunch Corporation
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Data Crunch
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How to Reduce Uncertainty in Early Stage Venture Funding
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24:11
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By Data Crunch Corporation
If you've ever tried to find a doctor in the United States, you likely know how hard it is to find one who's the right fit—it takes quite a bit of research to find good information to make an informed choice. Wouldn't it be nice to easily find a doctor who is the right fit for you? Using data, Covera Health aims to do just that in the radiology spe…
We talk with Ben Jones, CEO of Data Literacy, who's on a mission to help everyone understand the language of data. He goes over some common data pitfalls, learning strategies, and unique stories about both epic failures and great successes using data in the real world.Ginette Methot: I’m Ginette,Curtis Seare: and I’m Curtis,Ginette: and you are lis…
How do you build a comprehensive view of a topic on social media? Jordan Breslauer would say you let a machine learning tool scan the social sphere and add information as conversations evolve, with help from humans in the loop.Ginette Methot: I’m Ginette,Curtis Seare: and I’m Curtis,Ginette: and you are listening to Data Crunch,Curtis: a podcast ab…
Sometimes AI and deep learning are not only overkill, but also a subpar solution. Learn when to use them and when not. Diego from Northwestern's Deep Learning Institute discusses practical AI and deep learning in industry. He covers insights on how to train models well, the difference between textbook and real AI problems, and the problem of multip…
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Data Crunch
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Potential Advantages of Blockchain for Data Scientists
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25:53
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Luciano Pesci is bullish on blockchain and data science. Since blockchain offers a complete historical record, no one can delete or alter prior information written into the record. He sees this characteristic as a massive advantage for data scientists. Luciano Pesci: And the key for data scientists and leaders who are gonna oversee data sciences, y…
There have been some spectacular fails when it comes to looking at Internet traffic, think Google Flu Trends; however, Predata, a company that helps people understand global events and market moves by interpreting signals in Internet traffic, has honed human-in-the-loop machine learning to get to the bottom of geopolitical risk and price movement.P…
The way you organize your data science team will greatly affect your business’s outcome. This episode discusses different structures for a data science team, as well as top down versus bottom up approaches, how to get data science solutions into production organically, and how to be part of the business while remaining in contact with other data sc…
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Data Crunch
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The Hidden World of Data Science in Utilities
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19:05
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David Millar is a man bringing analytical solutions to an industry that historically has had little data. But with the explosion of smart devices, that is all changing, and the way utilities operate is as well.David Millar: The way that electricity markets work is that you have what's called the day ahead market. And so the day before, let's say on…
Simeon Schwarz has been walking the data management tightrope for years. In this episode, he helps us see the hidden organizational and economic impacts that come from leading a data management initiative, and how to understand and overcome the inertia, fears, and status quo that hold good data management back.Simeon Schwarz: Fighting against shado…
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Data Crunch
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Using Data to Design Tests People Don’t Hate
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18:51
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David Saben is on a mission to make taking tests less painful, and he’s using data to do it. In this episode, he’ll discuss reviving methods developed in 1979 to shorten tests and make them more effective, as well as how to use psychometrics to aid in the design and crafting of an effective test.David Saben: When I see my son who's 11 years old, sp…
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Data Crunch
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Activating Analytics in Business and Government
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13:51
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Todd Jones: My name is Todd Jones. I'm the chief analytics officer here at WebbMason analytics. We are a professional services firm helping our clients accelerate their analytic evolution. So I think my journey started about 10 years ago. Uh, I graduated from Princeton with a degree in operations research and financial engineering. So I could have …
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Data Crunch
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Last-Mile Logistics Analytics—for Everyone Who Isn't Amazon
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23:34
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Today we speak with Professor Ram Bala, an expert in supply chain management analytics, particularly last-mile delivery. He has very interesting insights into how today’s supply chain is evolving. He talks about various methods and algorithms he uses, the specific challenges inherent in doing last mile logistics and deliver, how pricing factors in,…
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Data Crunch
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Running a Successful Machine Learning Startup
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26:37
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Today, our guest, Alain Briancon, will talk to us about how to work with Fortune 500 companies and help them get quick value from their data, how to build a roadmap of incremental value during the data collection and analysis process, how they help predict and incentivize customer purchases, and how to dial in on an idea for successful data science…
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Data Crunch
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Executive Panel: How Can Data Science, ML, and AI Best Support Executive Goals
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Today is a special episode. We welcome three executive guests from different organizations to share their experiences and insights about how data science can best support executive goals. Ginette Methot: I'm Ginette Curtis Seare: And I'm Curtis Ginette: And you are listening to Data Crunch Curtis: A podcast about how applied data science, machine l…
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Data Crunch
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The Biggest Pitfalls of New Analytical Initiatives
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27:27
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27:27
Our guest Andrzej Wolosewicz has had years of experience helping companies define and build machine learning and analytical solutions that have a measurable impact on the business, and he shares with us his experience and expertise. He shares with us the biggest pitfalls he sees companies fall into over an over as they try to implement these initia…
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Data Crunch
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Digital Credentials and Machine Learning Aim to Change How You Hire
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19:57
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Today we’re going to see how a clever idea and the skillful use of data is starting to disrupt how people get credentials. The use case here has the potential to remove gender and racial bias in the hiring process, help companies understand specific talent gaps in their workforce, and help learners find lucrative educational pathways they can take.…
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Data Crunch
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How to Win Hearts and Minds as a Data Leader
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21:47
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Joe Kleinhenz talks about his journey from starting out in data all the way to becoming a leader in one of the largest insurance organizations in the United States. We'll learn about the importance of staying on top of technology, how to win hearts and minds of nontechnical folks, centralized versus decentralized team, pros and cons, how to hold ef…
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Data Crunch
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Building Data Products that Work in the Health and Wellness Industry
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19:40
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Our guest today holds a PhD in organizational psychology and has been working on data products in the health and wellness space for over a decade. We cover a lot of ground in this interview: how to create data products that work, how to avoid the unexpected consequences of poorly designed data interventions, and the importance of ethnographic think…
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Data Crunch
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The Road to a Data-Driven Culture in Your Organization
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How do you whittle the murky business of creating a data-driven culture down to a proven process? Today we talk to a guest who has done this time and time again, helping companies transform their operations. He points out the small nuances and details about the process, like questions to ask to start on the right foot, critical feedback loops to pu…
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Data Crunch
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Statistics Done Wrong—A Woeful Podcast Episode
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Beginning: Statistics are misused and abused, sometimes even unintentionally, in both scientific and business settings. Alex Reinhart, author of the book "Statistics Done Wrong: The Woefully Complete Guide" talks about the most common errors people make when trying to figure things out using statistics, and what happens as a result. He shares pract…
What does it take to become a data scientist? We speak with three people who have become data scientists in the last three years and find out what it takes, in their opinions, to land a data science job and to be prepared for a career in the field.Curtis: We’ve talked a lot in our recent episodes about all the interesting things you can do with dat…
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Data Crunch
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Automated Machine Learning with TransmogrifAI
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12:49
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Would you rather take a year to develop a proprietary algorithm for your company that has an accuracy of 95% or use an open source platform that takes a day to develop an algorithm that has nearly the same accuracy? In most business cases, you'd choose the latter. In this episode, we talk to Till Bergmann who works on a team that developed Transmog…
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Data Crunch
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The Data Scientist's Journey with Nic Ryan
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What does it take to become a data scientist? Nic Ryan has been in the field for over a decade and answered thousands of questions from people looking to get into the field. In this episode, he talks about his journey into data science and his experiencing mentoring aspiring data scientists, giving advice to both beginners and seasoned professional…
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Data Crunch
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Cutting-Edge Computational Chemistry Enabled by Deep Learning
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17:42
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Machine learning is becoming a bigger part of chemistry as of the last two or three years. Industries need to have people trained in both fields, and it's taken time for them to make their way into this sector. Olexandr Isayev is at the forefront of that wave, and he talks to us about what he's done while melding deep learning and chemistry togethe…
Python versus R. It's a heated debate. We won't solve this raging controversy today, but we will peek into the history of Python, particularly in the open source community surrounding it, and see how it came to be what it is today—a well used and flexible programming language.Travis Oliphant: Wes McKinney did a great job in creating Pandas . . . no…
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Data Crunch
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Machine Learning, Big Data, and Your Family History
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How can artificial intelligence, machine learning, and deep learning benefit your family? These technologies are moving into every field, industry, and hobby, including what some say is the United State's second most popular hobby, family history. Today, it's so much easier to trace your roots back to find out more about your progenitors. Tyler Fol…
