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datacenteredleadership's podcast

Author: Tyler Stannard

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Data centered leadership aims to inspire the next generation of IT professionals by sharing the vision, interests, and growth struggles of leaders in emerging data-centered fields such as healthcare informatics, information security, and artificial intelligence.

The wisdom shared here can help anyone who is working to start a career in these exciting, rapidly growing fields.

At Data Centered Leadership, you can learn from the leaders who are creating the hottest technological trends. Anyone who wants to become a successful leader in the data-centered economy should listen.

We will share the latest trends in fields such as information security, artificial intelligence, big data, edge computing and more.
11 Episodes
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Isabela Blasi discusses her journey of co-founding and growing Indicium Tech, a company that provides a wide range of custom data science and data storage solutions to customers around the world.   Contact Isabela and Indicium Tech here to see how they can empower your company with data solutions: Isabela Blasi Site - https://bit.ly/3du7fgH LinkedIn - https://bit.ly/3sunC0V E-mail- contato@indicium.tech
Sameh Shamroukh discusses the future of supply chain analytics and AI. Specifically, he shares how supply chain control towers can help businesses to operate more efficiently by integrating supply data from many businesses into one AI system. Sameh is a supply chain and logistics expert with 24 years' experience driving supply chain transformations. He has driven improvements in global operations and client satisfaction for major Fortune 500 companies. Sameh holds a PhD in Supply Chain Analytics.
Johannes Giorgis is a Senior Software Engineer/Data Scientist who deploys machine learning models for the masses with ninja skills. In his spare time, he trains future data scientists in the art of interview mastery at the school he co-founded, https://www.acingdatascience.com. He also shared some additional resources on preparing for the world of data science, listed below: https://elitedatascience.com/become-a-data-scientist https://blog.sharpestminds.com/ https://medium.com/red-panda-ai/best-vancouver-technology-meetups-of-2019-4c6c565463ba
Adrian Gonzalez, Professor of Agricultural Engineering at Universidad Romulo Gallegos, shares how he uses data science and engineering techniques to build the highly efficient, predictive smart farms of the future.
Pawel Skrzypek is an experienced and highly successful leader of software engineers who was also a financial advisor on the side. Today, his two passions have come together at Melodic Cloud and AI Investments LTD, where he creates cutting edge open-source cost saving multi-cloud software architecture, and also applies the latest advancements in AI research to perform active investments with a significant edge. Check out Melodic Cloud at the link below and save money on your cloud computing costs! http://melodic.cloud/ Also see Pawel's latest, exciting research on AI stock prediction at AI Investments! http://aiinvestments.pl/
Michael Krizmanic joins us to discuss his path and his views on how he gained employment in a down market with no experience, how he hones his skills, vets people for interviews, and is transitioning from being an expert programmer to a highly successful data scientist.
Mark Montgomery is an experienced polymath who has made significant gains in business and artificial intelligence. Mark discusses his views on the development of AI technology over the last 3 decades. He also shares the exciting innovations presented by his Kyield OS, which integrates many sources of data in the business environment and uses AI to augment decision makers. This system could be most valuable for filtering out the noise to find anomalies that can lead to advancements in research or prevention of disaster.
"If you all can't even agree, then why would I ever fund your solution?" Says the CEO. Have you ever had difficulty convincing your boss to back your model or data project? Many people in IT fields have trouble getting funding for their data projects. Scott Taylor, the founder of Metametaconsulting, has seen all the reasons why. He explains why it is so important to have good master data, and how people in IT can become more effective in getting their projects funded.
John Sosa, Ph.D, shared how he started as a motivated engineering student who wrote a software that filled the need for easier, more repeatable image analysis in his lab group. John explained how he achieved success by leveraging a supportive user base and work environment combined with his dedication to continuous improvement of the product. Additionally, John explained some of the lessons he learned and changes in focus he had to make to go from the creator/founder role of his business to CEO of an organization. He also discussed the business lessons he learned and the strategies he took to maintain growth. Furthermore, he shared his vision for the future of MIPAR. Dr. Sosa, his team, and Mipar's customers have worked to develop the software into something that is so informative and easy-to-use, it is now a first-principles image analysis teaching tool in many universities. Visit https://www.mipar.us/ for more information. Thank you for the inspiration John!
Ben is the Chief AI Officer and co-founded Zeff to accelerate AI value delivery around unstructured data for the enterprise. Ben is known for pushing the boundaries for what is possible with deep learning. In this episode, he discusses his rise from a chemical engineering student to a leading AI researcher. He shares some of his favorite AI projects, including his work using AI to identify gender and racial bias gaps during hiring at HireVue, and making a deep learning system to beat humans at Halo. Additionally, Ben shares his vision for the future of AI.
Bill Lombardi is a CIO and strategic business analytics advisor. He has over 20 years experience pioneering the field of business analytics from small startups to large corporations such as Clorox and IBM. In this episode, he will discuss how to approach data problems in business from beginner to CIO level.
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