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Best Secrets Of Data Analytics Leaders podcasts we could find (updated April 2020)
Best Secrets Of Data Analytics Leaders podcasts we could find
Updated April 2020
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Discover the strategies that convert data into insights and action. Acclaimed data analytics leaders will unearth the secrets of their success in each episode. Subscribe below to stay abreast of the best practices, trends, and technologies driving our fast-paced industry! For transcript articles of the podcasts visit https://www.eckerson.com/podcasts/secrets-of-data-analytics-leaders
 
Machine learning and artificial intelligence are dramatically changing the way businesses operate and people live. The TWIML AI Podcast brings the top minds and ideas from the world of ML and AI to a broad and influential community of ML/AI researchers, data scientists, engineers and tech-savvy business and IT leaders. Hosted by Sam Charrington, a sought after industry analyst, speaker, commentator and thought leader. Technologies covered include machine learning, artificial intelligence, de ...
 
Analytics on Fire is your backstage pass inside the enterprise analytics and business intelligence world. Join your host BI author, speaker, and co-founder, Mico Yuk (BI Brainz) as she pulls back the curtain on what’s working right now in the enterprise analytics/business intelligence world and what is not. You’ll hear the inside scoop from experienced business leaders on how to plan, implement and gain true business value from your analytics dollars. Visit analyticsonfire.com to subscribe a ...
 
So the question is this, how do entrepreneurial sales people like us, who have traditionally sold alone and used gut and intuition to hit their number, take their innate talents and begin selling using science, technology, and the secrets of thousands who have done it before---to crush their quota and change the world. That is the question and this podcast provides the answers.
 
Finally, a podcast to help you get the most out of your tech career. Join Rocket Talent CEO, Jonathan Spiess, as he talks to product managers, data scientists, and engineers from the most exciting tech companies about what it takes to crush it in the industry. Support this podcast: https://anchor.fm/rockettalent/support
 
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show series
 
Chief data officers (CDOs) first appeared in enterprise organizations after the Sarbanes Oxley Act became law in the United States in 2002 to improve corporate governance controls. CDOs started with a trickle, but have since become a flood, now populating more than two-thirds of large enterprises, according to a recent survey by NewVantage Partners…
 
Free Live Training Register for our upcoming live training at webinars.bidatastorytelling.com and download our FREE 50-page Analytics Design Guide! In this episode, you'll learn: Design is important. Just take a look at some of the Corona Virus visuals out there. In this fun, short episode I discuss how bad design can affect you in ways you may not…
 
Today we’re joined by Cathy Wu, Gilbert W. Winslow Career Development Assistant Professor in the department of Civil and Environmental Engineering at MIT. We had the pleasure of catching up with Cathy at NeurIPS to discuss her talk “Mixed Autonomy Traffic: A Reinforcement Learning Perspective.” In our conversation, we discuss Cathy’s transition to …
 
Today we’re joined by one of, if not the most cited computer scientist in the world, Yoshua Bengio. Yoshua is a Professor in the Department of Computer Science and Operations Research at the University of Montreal and the Founder and Scientific Director of MILA. We caught up with Yoshua just a few weeks into the coronavirus pandemic, so we spend a …
 
Today we’re joined by Josh Tobin, Co-Organizer of the machine learning training program Full Stack Deep Learning, and more recently, the founder of a stealth startup. We had the pleasure of sitting down with Josh prior to his presentation of his paper Geometry-Aware Neural Rendering at NeurIPS. This work looks to build upon DeepMind’s “Neural scene…
 
Today we’re joined by Ken Goldberg, professor of engineering and William S. Floyd Jr. distinguished chair in engineering at UC Berkeley. Ken, who is also an accomplished artist, and collaborator on projects such as DexNet and The Telegarden, has recently been focusing on robotic learning for grasping. In our conversation with Ken, we chat about som…
 
Today we’re joined by Stefan Lee, assistant professor at the school of electrical engineering and computer science at Oregon State University. Stefan, who we sat down with at NeurIPS this past winter, is focused on the development of agents that can perceive their environment and communicate their understanding with humans in order to coordinate th…
 
Today we’re joined by Jürgen Schmidhuber, Co-Founder and Chief Scientist of NNAISENSE, the Scientific Director at IDSIA, as well as a Professor of AI at USI and SUPSI in Switzerland. Jürgen’s lab is well known for creating the Long Short-Term Memory (LSTM) network which has become a prevalent neural network, used commonly devices such as smartphone…
 
Today we're joined by Beidi Chen, PhD student at Rice University. Beidi is part of the team that developed a cheaper, algorithmic, CPU alternative to state-of-the-art GPU machines. They presented their findings at NeurIPS 2019 and have since gained a lot of attention for their paper, SLIDE: In Defense of Smart Algorithms Over Hardware Acceleration …
 
Today we're joined by Sergey Levine, an Assistant Professor in the Department of Electrical Engineering and Computer Science at UC Berkeley. We last heard from Sergey back in 2017, where we explored Deep Robotic Learning. We caught up with Sergey at NeurIPS 2019, where Sergey and his team presented 12 different papers -- which means a lot of ground…
 
Imagine spending years learning ML from the ground up, from its theoretical foundations, but still feeling like you didn’t really know how to apply it. That’s where David Odaibo found himself in 2015, after the second year of his PhD. David’s solution was Kaggle, a popular platform for data science competitions. Fast forward four years, and David i…
 
Predicting the future of science, particularly physics, is the task that Matteo Chinazzi, an associate research scientist at Northeastern University focused on in his paper Mapping the Physics Research Space: a Machine Learning Approach, along with co-authors including former TWIML AI Podcast guest Bruno Gonçalves. In addition to predicting the tra…
 
The unfortunate reality is that many of the most commonly used machine learning metrics don't account for the complex trade-offs that come with real-world decision making. This is one of the challenges that today’s guest, Sanmi Koyejo has dedicated his research to address. Sanmi is an assistant professor at the Department of Computer Science at the…
 
You know me — I love community! Being a part of the BI community has changed my life and it can change your too for the better if you choose the right community, and understand how to use it to your advantage. Listen and learn. Today’s guest is Allen Hillery, editor of Nightingale, a data visualization society journal. Allen describes why community…
 
Today we’re joined by Ilias Diakonikolas, faculty in the CS department at the University of Wisconsin-Madison, and author of the paper Distribution-Independent PAC Learning of Halfspaces with Massart Noise, which was the recipient of the NeurIPS 2019 Outstanding Paper award. The paper, which focuses on high-dimensional robust learning, is regarded …
 
I still can’t believe what transpired at the recent BI Data Storytelling (BIDS) Accelerator Workshop—simply because we made the exception of letting in a VIP after enrollment had closed. Why? The VIP desperately expressed his need to learn and implement our BI methodology/framework. He was determined to get it done, and the results he shares are am…
 
Today we’re joined by Kamran Khan, founder & CEO of BlueDot, and professor of medicine and public health at the University of Toronto. BlueDot, a digital health company with a focus on surveilling global infectious disease outbreaks, has been the recipient of a lot of attention for being the first to publicly warn about the coronavirus that started…
 
Today we’re joined by Emmanuel Ameisen, machine learning engineer at Stripe, and author of the recently published book “Building Machine Learning Powered Applications; Going from Idea to Product.” In our conversation, we discuss structuring end-to-end machine learning projects, debugging and explainability in the context of models, the various type…
 
Today we’re joined by Abeba Birhane, PhD Student at University College Dublin and author of the recent paper Algorithmic Injustices: Towards a Relational Ethics. We caught up with Abeba, whose aforementioned paper was the recipient of the Best Paper award at the most recent Black in AI Workshop at NeurIPS, to go in-depth on the paper and the though…
 
Today we’re excited to kick off our annual Black in AI Series joined by Nemo Semret, CTO of Gro Intelligence. Gro provides an agricultural data platform dedicated to improving global food security, focused on applying AI at macro scale. In our conversation with Nemo, we discuss Gro’s approach to data acquisition, how they apply machine learning to …
 
Today we’re joined by Ryan Rogers, Senior Software Engineer at LinkedIn. We caught up with Ryan at NeurIPS, where he presented the paper “Practical Differentially Private Top-k Selection with Pay-what-you-get Composition” as a spotlight talk. In our conversation, we discuss how LinkedIn allows its data scientists to access aggregate user data for e…
 
Today we conclude our KubeCon ‘19 Series joined by Erez Cohen, VP of CloudX & AI at Mellanox. In our conversation, we discuss: Erez’s talk “Networking Optimizations for Multi-Node Deep Learning on Kubernetes.” where he discusses problems and solutions related to networking discovered during the journey to reduce training time. NVIDIA’s recent acqui…
 
Today we’re joined by Bob Killen, Research Cloud Administrator at the University of Michigan. In our conversation, we discuss: How his group is deploying Kubernetes at UM. The user experience of his broad user base, including those using KubeFlow environments. How users are taking advantage of distributed computing. Should ML/AI focused Kubernetes …
 
Today we kick off our KubeCon ‘19 series joined by Haytham AbuelFutuh and Ketan Umare, a pair of software engineers at Lyft. In our conversation, we discuss: Their newly open-sourced, cloud-native ML and data processing platform, Flyte. What prompted Ketan to undertake this project and his experience building Flyte. The core value proposition of Fl…
 
Practice, practice, practice! Storytelling takes practice, especially Storytelling With Data (SWD). What are the fundamental principles for communicating effectively with data and using storytelling concepts to communicate that data? Today’s guest is Cole Knaflic, author of Storytelling With Data and Storytelling With Data: Let’s Practice. She is s…
 
Today we’re accompanied by Robert Osazuwa Ness, Machine Learning Research Engineer at ML Startup Gamalon and Instructor at Northeastern University. Robert, who we had the pleasure of meeting at the Black in AI Workshop at NeurIPS last month, joins us to discuss: Causality, what it means, and how that meaning changes across domains and users. Benefi…
 
Today we’re joined by Jannis Born, Ph.D. student at ETH & IBM Research Zurich. We caught up with Jannis a few weeks back at NeurIPS, to discuss: His research paper “PaccMannRL: Designing anticancer drugs from transcriptomic data via reinforcement learning,” a framework built to accelerate new anticancer drug discovery. How his background in cogniti…
 
Today we’re joined by Blaise Aguera y Arcas, a distinguished scientist at Google. We had the pleasure of catching up with Blaise at NeurIPS last month, where he was invited to speak on “Social Intelligence.” In our conversation, we discuss: Blaise’s role at Google, where he leads the Cerebra team. Their approach to machine learning at the company, …
 
Today we’re joined by Pablo Samuel Castro, Staff Research Software Developer at Google. Pablo, whose research is mainly focused on reinforcement learning, and I caught up at NeurIPS last month. We cover a lot of ground in our conversation, including his love for music, and how that has guided his work on the Lyric AI project, and a few of his other…
 
Welcome to 2020! It’s time to kick the new year and new decade off by recapping awesome things that happened in 2019 for Analytics on Fire (AoF). Plus, what 10 things can amazing AoF listeners expect and look forward to in 2020? Let’s begin the countdown. In this episode, you'll learn: [03:52] 10 things to expect from AoF in 2020 [06:02] #3: More s…
 
Today we close out AI Rewind 2019 joined by Amir Zamir, who recently began his tenure as an Assistant Professor of Computer Science at the Swiss Federal Institute of Technology. Amir joined us back in 2018 to discuss his CVPR Best Paper winner, and in today’s conversation, we continue with the thread of Computer Vision. In our conversation, we disc…
 
Today we continue the AI Rewind 2019 joined by friend-of-the-show Nasrin Mostafazadeh, Senior AI Research Scientist at Elemental Cognition. We caught up with Nasrin to discuss the latest and greatest developments and trends in Natural Language Processing, including Interpretability, Ethics, and Bias in NLP, how large pre-trained models have transfo…
 
Today we keep the 2019 AI Rewind series rolling with friend-of-the-show Timnit Gebru, a research scientist on the Ethical AI team at Google. A few weeks ago at NeurIPS, Timnit joined us to discuss the ethics and fairness landscape in 2019. In our conversation, we discuss diversification of NeurIPS, with groups like Black in AI, WiML and others taki…
 
Today we continue to review the year that was 2019 via our AI Rewind series, and do so with friend of the show Chelsea Finn, Assistant Professor in the Computer Science Department at Stanford University. Chelsea’s research focuses on Reinforcement Learning, so we couldn’t think of a better person to join us to discuss the topic. In this conversatio…
 
A chief data officer not only defines a data strategy to meet current needs but also evolves the strategy to ensure that the organization derives value far into the future.Originally published at https://www.eckerson.com/articles/seven-core-responsibilities-of-a-chief-data-officer-cdoBy Eckerson Group
 
Today we kick off our 2019 AI Rewind Series joined by Zack Lipton, a jointly appointed Professor in the Tepper School of Business and the Machine Learning Department at CMU. You might remember Zack from our conversation earlier this year, “Fairwashing” and the Folly of ML Solutionism, which you can find at twimlai.com/talk/285. In our conversation,…
 
Today we close out our 2019 NeurIPS series with Mohamed Sidahmed, Machine Learning and Artificial Intelligence R&D Manager at Shell. In our conversation, we discuss: The papers Mohamed and his team submitted to the conference this year, in particular: Accelerating Least Squares Imaging Using Deep Learning Techniques, which details how researchers c…
 
Today we continue our 2019 NeurIPS coverage joined by Daphne Koller, co-Founder and former co-CEO of Coursera and Founder and CEO of Insitro. We caught up with Daphne to discuss: Her background in machine learning, beginning in ‘93, and her work with the Stanford online machine learning courses, and eventually her work at Coursera. The current land…
 
Today we continue our 2019 NeurIPS coverage, this time around joined by Blake Richards, Assistant Professor at McGill University and a Core Faculty Member at Mila. In our conversation, we discuss: His invited talk at the Neuro-AI Workshop “Sensory Prediction Error Signals in the Neocortex.” His recent studies on two-photon calcium imaging, predicti…
 
Today we begin our coverage of the 2019 NeurIPS conference with Celeste Kidd, Assistant Professor of Psychology at UC Berkeley. In our conversation, we discuss: The research at the Kidd Lab, which is focused on understanding “how people come to know what they know.” Her invited talk “How to Know,” which details the core cognitive systems people use…
 
Today we’re joined by Feng Yan, Assistant Professor at the University of Nevada, Reno. In our conversation, we discuss: ALERTWildfire, a camera-based network infrastructure that captures satellite imagery of wildfires. The many purposes of ALERTWildfire, including the discovery of wildfires, the ability to scale resources accordingly, and a few oth…
 
Today we’re joined by Dave Castillo, Managing Vice President for ML at Capital One and head of their Center for Machine Learning. We caught up with David at re:Invent to discuss the aforementioned Center for Machine Learning, and what has changed since our last discussing with Capital One, which you can find at twimlai.com/talk/147. In our conversa…
 
Today we’re joined by Bryton Shang, Founder & CEO at Aquabyte. We caught up with Bryton after his talk at re:Invent’s ML Summit to discuss: Aquabyte, a company focused on the application of computer vision fish farming. How Bryton identified the various problems associated with mass fish farming and how he eventually moved to Norway to develop the …
 
Data leaders who launch self-service analytics programs without knowing their business users risk unleashing chaos. Data leaders need to canvas the organization and understand who produces what information for whom and where.Originally published at https://www.eckerson.com/articles/succeeding-with-self-service-analytics-know-thy-customer…
 
Today we kick off our re:Invent 2019 series with Ville Tuulos, Machine Learning Infrastructure Manager at Netflix. At re:Invent, Netflix announced the open-sourcing of Metaflow, their “human-centric framework for data science.” In our conversation, we discuss all things Metaflow, including: The problem Metaflow is trying to solve Why it was importa…
 
Today we’re joined by Stephen Merity, startup founder and independent researcher, with a focus on NLP and Deep Learning. In our conversation, we discuss: Stephen’s newest paper, Single Headed Attention RNN: Stop Thinking With Your Head. His motivations behind writing the paper; the fact that NLP research has been recently dominated by the use of tr…
 
BI tools change by the minute, so have you ever considered outsourcing your data visualization needs in the future? Maybe you should, especially if you don’t have proper in-house skill sets. Don’t risk your reputation because users can’t unsee a bad data visualization. Today’s guest is long-term BI Brainz customer Mustafa Mustafa, senior director o…
 
Master Data Management is no shiny object. But like many traditional IT practices, MDM is being severely tested – and rendered all the more strategic – by digitalization and rising data volumes.Originally published at https://www.eckerson.com/articles/five-master-data-management-best-practices-for-enterprises…
 
In this TWIML Democast, we're joined by SigOpt Co-Founder and CEO Scott Clark. Scott details the SigOpt platform, and gives us a live demo! This episode is best consumed by watching the corresponding video demo, which you can find at twimlai.com/talk/324.By Sam Charrington
 
The rise of machine learning has placed a premium on finding new sources of data to fuel predictive models. But acquiring external data is often expensive and many data sets are rife with errors and difficult to combine with internal data. But that’s going to change in 2020. To help us understand the scale, scope, and dimensions of emerging data ma…
 
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