In this episode, guest Prashant Natarajan sits down with TDS to discuss this new book and applications in AI as well as data advice. Prashant Natarajan is the Vice President of H20.ai Health and Life Sciences division with a record of turning things around at Siemens Oracle Deloitte Unum. He is a Co-Faculty Instructor at Stanford University, author of numerous best-selling books e.g. “Demystifying Big Data & Machine Learning for Healthcare,” published by Taylor & Francis. His latest book is on its way " Demystifying Artificial Intelligence for the Enterprise: Building Tomorrow’s Self-Driving Organization (upcoming 2021)". Connect with Prashant on LinkedIn  The Data Standard is a community of data scientists, architects, engineers, and enthusiasts. In addition to regular podcasts, we host monthly events, publish through leadership pieces, and offer a stimulating ecosystem for networking and collaboration. https://datastandard.io  https://www.linkedin.com/company/the-data-standard  https://www.youtube.com/channel/UCTuolowXD05RY9DkIWqRT6Q

In this episode, we talk with Sam Anthony, the CTO, and co-founder of Perceptive Automata, a company that makes software to help autonomous vehicles understand human behavior. We discuss the missing piece for autonomous driving, why it is such a hard problem for autonomous vehicles to understand human intention and behavior, safety standards and testing for autonomous vehicles, Perceptive Automata’s business, how Perceptive Automata’s software works in ADAS and AV systems, how the algorithms are trained, and the state of autonomous vehicle development. Connect with Sam on LinkedIn  The Data Standard is a community of data scientists, architects, engineers, and enthusiasts. In addition to regular podcasts, we host monthly events, publish through leadership pieces, and offer a stimulating ecosystem for networking and collaboration. https://datastandard.io https://www.linkedin.com/company/the-data-standard https://www.youtube.com/channel/UCTuolowXD05RY9DkIWqRT6Q

Mickey Alon is a serial entrepreneur, passionate about designing, building, and launching innovative products that drive business outcomes. He’s Co-author of Mastering Product experience in Saas and CPO. Currently, he’s the CTO and Founder of Gainsight PX, a leading Product-growth platform. In this episode, guest Mickey Alon sits down with TDS to discuss Using data for marketing automation. Connect with Mickey on LinkedIn  The Data Standard is a community of data scientists, architects, engineers, and enthusiasts. In addition to regular podcasts, we host monthly events, publish through leadership pieces, and offer a stimulating ecosystem for networking and collaboration. https://datastandard.io https://www.linkedin.com/company/the-data-standard https://www.youtube.com/channel/UCTuolowXD05RY9DkIWqRT6Q

Ihsan Saracgil, Principal Data Scientist at Visible Alpha sits down with TDS to advise Ph.D. students in investment research.  Connect with Ihsan on LinkedIn  The Data Standard is a community of data scientists, architects, engineers, and enthusiasts. In addition to regular podcasts, we host monthly events, publish through leadership pieces, and offer a stimulating ecosystem for networking and collaboration. https://datastandard.io https://www.linkedin.com/company/the-data-standard https://www.youtube.com/channel/UCTuolowXD05RY9DkIWqRT6Q

Data science is an interdisciplinary field that extracts knowledge and insights from many structural and unstructured data, using scientific methods, data mining techniques, machine-learning algorithms, and big data. The healthcare industry generates large datasets of useful information on patient demography, treatment plans, results of medical examinations, insurance, etc. Data science provides aid to process, manage, analyze, and assimilate the large quantities of fragmented, structured, and unstructured data created by healthcare systems. This data requires effective management and analysis to acquire factual results. In this episode, guest Jonah Leshin sits down with TDS to discuss the importance of making data useable in healthcare. Jonah joined Datavant from Highland Math, where he was co-founder and Chief Data Scientist, leading data analytics and data monetization. Jonah holds a Masters in Math from the University of Cambridge, where he studied as a UK Fulbright Scholar, and a Ph.D. in Math from Brown University. Outside of work, Jonah enjoys playing tennis and taking family walks. Connect with Jonah on LinkedIn  The Data Standard is a community of data scientists, architects, engineers, and enthusiasts. In addition to regular podcasts, we host monthly events, publish through leadership pieces, and offer a stimulating ecosystem for networking and collaboration. https://datastandard.io https://www.linkedin.com/company/the-data-standard https://www.youtube.com/channel/UCTuolowXD05RY9DkIWqRT6Q

Antony Akisetty, Data Scientist & Global Search Strategist at Accuride International sits down with TDS to discuss their journey in the data science field and applications within small median manufacturing. Connect with Antony on LinkedIn  The Data Standard is a community of data scientists, architects, engineers, and enthusiasts. In addition to regular podcasts, we host monthly events, publish through leadership pieces, and offer a stimulating ecosystem for networking and collaboration. https://datastandard.io https://www.linkedin.com/company/the-data-standard https://www.youtube.com/channel/UCTuolowXD05RY9DkIWqRT6Q

In this episode, guest Bilal Clarence sits down with TDS to discuss Data Privacy. Bilal is currently working at Capital One as Senior Director of Privacy and Data Solutions. Clarance was a member of the Pioneer men’s basketball team from 2001-2003 and the Bearcat men’s basketball team from 2003 to 2005, including the 2003-’04 squad that advanced to the NCAA Division II Elite Eight and was inducted into Northwest’s M-Club Hall of Fame in 2014. Continuing his basketball career after college, Clarance played basketball in Europe from 2005-2009. He was a member of the Danish men’s national team and served as captain from 2007 to 2009. Connect with Bilal on LinkedIn  The Data Standard is a community of data scientists, architects, engineers, and enthusiasts. In addition to regular podcasts, we host monthly events, publish through leadership pieces, and offer a stimulating ecosystem for networking and collaboration. https://datastandard.io https://www.linkedin.com/company/the-data-standard https://www.youtube.com/channel/UCTuolowXD05RY9DkIWqRT6Q

In this episode, guest Jose Unpingco sits down with TDS to discuss Data sensitivity and defects as well as defining a health data paradox. Dr. Jose Unpingco is currently the Senior Director for Data Science/Machine Learning at West Health Institute in La Jolla, a nonprofit medical research organization. Dr. Unpingco earned his Ph.D. in 1997 from the Electrical and Computer Engineering Department at the University of California, San Diego. Prior to joining West Health, Dr. Unpingco worked with the SSC Pacific High-Performance Computing Center as an on-site Director for the DoD High-Performance Computing Modernization Program (HPCMP) in the PETTT component of HPCMP where he helped develop large scale file transfer technology that is still used today, as well as encouraging the DoD to adopt open-source technology such as Python for scientific computing.In addition to his work at SSC Pacific, Dr. Unpingco has extensive industrial experience as a research engineer and technical director at Hughes Aircraft Co., Raytheon, Mission Research, and ATK, working on a wide range of systems -- underwater acoustics, adaptive antennas, radar detection, and imaging, and modern target tracking. Dr. Unpingco is the author of two internationally published books by Springer titled “Python for Signal Processing” and “Python for Probability, Statistics and Machine Learning.” In addition to his duties at West Health, Dr. Unpingco is an invited lecturer at UCSD, teaching undergraduate/graduate Data Science classes. He also sits on the industry advisory council for UCSD Extension's Data Science and Machine Learning program. Connect with Jose on LinkedIn  The Data Standard is a community of data scientists, architects, engineers, and enthusiasts. In addition to regular podcasts, we host monthly events, publish through leadership pieces, and offer a stimulating ecosystem for networking and collaboration. https://datastandard.io https://www.linkedin.com/company/the-data-standard https://www.youtube.com/channel/UCTuolowXD05RY9DkIWqRT6Q

In this episode, guest Nelson Tsaku sits down with TDS to discuss tips for business in data literacy and a crisp data model. Connect with Nelson on LinkedIn   The Data Standard is a community of data scientists, architects, engineers, and enthusiasts. In addition to regular podcasts, we host monthly events, publish through leadership pieces, and offer a stimulating ecosystem for networking and collaboration. https://datastandard.io https://www.linkedin.com/company/the-data-standard https://www.youtube.com/channel/UCTuolowXD05RY9DkIWqRT6Q

Milan Patel, Global Director, Data Science at ADARA, sits down with TDS to discuss analytical products that produce factual insights through low-cost high-value processes. Connect with Milan on LinkedIn The Data Standard is a community of data scientists, architects, engineers, and enthusiasts. In addition to regular podcasts, we host monthly events, publish through leadership pieces, and offer a stimulating ecosystem for networking and collaboration.  https://datastandard.io https://www.linkedin.com/company/the-data-standard https://www.youtube.com/channel/UCTuolowXD05RY9DkIWqRT6Q

Derek Singh, Chief Analytics Officer at FixtHub, sits down with TDS to discuss data modeling in a fixed income space. Connect with Derek on LinkedIn The Data Standard is a community of data scientists, architects, engineers, and enthusiasts. In addition to regular podcasts, we host monthly events, publish through leadership pieces, and offer a stimulating ecosystem for networking and collaboration.  https://datastandard.io https://www.linkedin.com/company/the-data-standard https://www.youtube.com/channel/UCTuolowXD05RY9DkIWqRT6Q

Telematics has been widely adopted in a wide variety of industries since the turn of the millennium and has provided businesses with previously unobtainable information into both vehicle and driver performance. This has drastically simplified fleet management processes and enabled significant improvements in efficiency and productivity. Vehicles are more than transportation: they’re now smart mobile devices generating large volumes of telematics data.  In this episode, guest Sajeewa Dayaratne sits down with guest host Ash Malgaonkar to discuss Data in the telematics industry.  Coretex is a complete telematics solution provider that supplies world-class fleet management and business intelligence technology, enabling transport operators to optimize the core of their business in real-time. The company’s enterprise IoT platform delivers cloud-based software and in-vehicle sensor technology. Coretex believes that technology should be used to create a safer, greener, and more productive society. Connect with Sajeewa on LinkedIn The Data Standard is a community of data scientists, architects, engineers, and enthusiasts. In addition to regular podcasts, we host monthly events, publish through leadership pieces, and offer a stimulating ecosystem for networking and collaboration.  https://datastandard.io https://ww w.linkedin.com/company/the-data-standard https://www.youtube.com/channel/UCTuolowXD05RY9DkIWqRT6Q

Samuel Gomez, CTO at GATACA, sits down with TDS to discuss systems transitions. GATACA is a cybersecurity company that develops self-sovereign identity technology to deliver hyper-secure, passwordless, and privacy-preserving access to digital services. Connect with Samuel on LinkedIn The Data Standard is a community of data scientists, architects, engineers, and enthusiasts. In addition to regular podcasts, we host monthly events, publish through leadership pieces, and offer a stimulating ecosystem for networking and collaboration.  https://datastandard.iohttps://www.linkedin.com/company/the-data-standardhttps://www.youtube.com/channel/UCTuolowXD05RY9DkIWqRT6Q

Tom Doyle, SVP, R&D at Medidata Solutions, sits down with TDS to discuss working with clinical trial software in medical data. Connect with Tom Doyle on LinkedIn The Data Standard is a community of data scientists, architects, engineers, and enthusiasts. In addition to regular podcasts, we host monthly events, publish through leadership pieces, and offer a stimulating ecosystem for networking and collaboration.  https://datastandard.io https://www.linkedin.com/company/the-data-standard https://www.youtube.com/channel/UCTuolowXD05RY9DkIWqRT6Q

In this episode of The Data Standard Podcast Experience, Philomena Lamoureux discusses Federated Learning and how it is impacting the technology sector in many different ways.  She was formerly the Head of AI at Blooma.ai and currently is a Data Science Manager at ResMed.  She has a strong background in federated learning systems and 10+ years of expert experience in computational modeling. During Philomena’s PhD, she had a specialization in machine learning, natural language processing, and artificial intelligence solutions.  She has a passion for data science and hopes to grow the data science community with her organization titled AI Paths.  Her organization helps to bridge the gap between aspiring data scientists and industry related projects. Connect with Philomena on LinkedIn

In this episode, guest Mark Cusack sits down with TDS to discuss cloud Data Warehousing. Yellowbrick Data is a 7-year-old startup that continues to grow in the highly competitive cloud data warehouse market. Yellowbrick recently raised $75 million in its latest round of capital funding as it expands into a variety of industries, including telecom, healthcare, retail, and manufacturing. Yellowbrick describes itself as a cloud-native data warehouse.  It is available for deployment on-premises and in hybrid cloud and multi-cloud environments. Key topics from the interview include: What makes a database or data warehouse cloud-native? APIs, open-source, storage tiers,  networking. How does Yellowbrick define it?One of the key things with cloud-native data warehouses is the separation of storage and compute. It gives you scalable storage and dynamic compute resources.Not all approaches to storage/computing are the same. Yellowbrick has published a white paper that defines six different levels of storage/compute separation.There are performance and workload advantages, but also important considerations around cost.  Mark Cusack https://www.linkedin.com/in/macusack/ The Data Standard is a community of data scientists, architects, engineers, and enthusiasts. In addition to regular podcasts, we host monthly events, publish through leadership pieces, and offer a stimulating ecosystem for networking and collaboration.  https://datastandard.io https://www.linkedin.com/company/the-data-standard https://www.youtube.com/channel/UCTuolowXD05RY9DkIWqRT6Q

We live in an information-centric world, those who have the information have the power. And while it may seem advantageous to constantly have your finger on the pulse of data flowing about your business and the industry, it quickly becomes a challenge to make something out of all those numbers and figures. This is where data processing comes in: the capacity to research, collect, visualize and manipulate information to extract something useful from them. Control and understanding of large amounts of data is crucial to the success of a business, and data processing can help you reach the goals you’ve set for yourself easier. But how exactly can data processing help a business? In this episode, guest Kate McKenzie sits down with TDS to discuss the importance of data processing Kate McKenzie https://www.linkedin.com/in/kate-mckenzie-81388651/ The Data Standard is a community of data scientists, architects, engineers, and enthusiasts. In addition to regular podcasts, we host monthly events, publish through leadership pieces, and offer a stimulating ecosystem for networking and collaboration.  https://datastandard.io https://www.linkedin.com/company/the-data-standard https://www.youtube.com/channel/UCTuolowXD05RY9DkIWqRT6Q

The Data Standard is joined by Iwao Fusillo, Chief Data and Analytics Officer at General Motors. In this podcast, Iwao covers his journey through tech and how he began working at General Motors. He discusses empathy and mindfulness to his everyday life and workspace and how to become a mentor.  He covers advice to his own daughter and others entering the tech field. He explains how data and analytics have become demoralizing over the pandemic and how we look at this data differently since this pandemic.

Product Data Science means building data products, tools and measurement strategies that impact the consumer using a rigorous statistical methodology, expertise, and experience. In this episode, guest  Katrina Poole sits down with TDS to discuss Product Data Science.Katrina Poolehttps://www.linkedin.com/in/katrina-glaeser-poole-ab57a714/The Data Standard is a community of data scientists, architects, engineers, and enthusiasts. In addition to regular podcasts, we host monthly events, publish through leadership pieces, and offer a stimulating ecosystem for networking and collaboration. https://datastandard.iohttps://www.linkedin.com/company/the-data-standardhttps://www.youtube.com/channel/UCTuolowXD05RY9DkIWqRT6Q

Human resource departments are changing. What was an administrative function, running payroll and managing recruitment and training, is now a key player in corporate strategies and a major influence in employees’ everyday work experience. How has this come about? The answer lies in people analytics. People analytics (PA) applies the power of artificial intelligence (AI) to the large data sets about people held by human resources in order to solve business problems. If a company has a problem retaining good staff, PA will tell them why and what to do about it. If sales in some shops are not as good as others, PA will identify the root of the problem in staff engagement so that the company can change managerial behavior. The range of data available to PA includes not just HR staff records, but an increasingly wide range of data types that could have movement and health data from wearable devices. Using machine learning, HR departments can identify new trends and influence people's management decisions across the company. The pitch of PA is that it replaces the vagaries of human intuition and professional experience with hard facts to create evidence-driven human resource management which brings massive efficiencies and benefits for the business. The effects of the coronavirus pandemic on employment have accelerated the practice and influence of PA. The need for safe distancing at work and expansion of home working has increased the reach of HR and the amount of data available. In this episode, guest Zach Frank sits down with TDS to discuss people Analytics and AI Zach Frankhttps://www.linkedin.com/in/zachlfrank/The Data Standard is a community of data scientists, architects, engineers, and enthusiasts. In addition to regular podcasts, we host monthly events, publish through leadership pieces, and offer a stimulating ecosystem for networking and collaboration. https://datastandard.iohttps://www.linkedin.com/company/the-data-standardhttps://www.youtube.com/channel/UCTuolowXD05RY9DkIWqRT6Q