Lights On Data Show

Learn about SMARTER, a methodology created for better decision making and monetizing data.  This is a methodology to help people throughout the enterprise to think about how to embed data into their day-to-day work and strategic decisions.   Lori Silverman, CEO and Founder of Partners for Progress® has helped enterprises across 25 industries strategize about their future and navigate through messy, complex change. She’s authored three best-selling books, and is known for her work in collaborative data-informed decision-making. As a keynote speaker at 90+ events throughout the world, Lori has inspired thousands of people to take action. She’s also an adjunct professor in the Industrial and Organizational Psychology Master’s program at Golden Gate University.

Are you looking to start a career in Data Science?  Andrew Jones interviewed & screened hundreds of Data Science candidates, and through this process have learned exactly what can differentiate a stand out & successful candidate from the rest. He has 15 years working experience in Data Science at companies including Amazon & Sony PlayStation and is the Founder & Lead Instructor at Data Science Infinity. You can enroll into the program here: https://bit.ly/3IX3SyO

Tips and trick for continuous learning for the busy data professional, including setting up goals and keeping up your motivation. Monica Kay Royal is the Founder & Chief Data Enthusiast at nerdnourishment.

How will enterprises establish digital trust and secure the rapidly growing number of human and machine identities today and tomorrow? Let's learn more about the Zero Trust framework. Our guest is Dr. Ingrid Vasiliu-Feltes, Chief Executive Officer at Softhread. She is a Forbes Business Council member, digital strategist, passionate educator and entrepreneurship ecosystem builder, known as an expert speaker, board advisor and consultant.  Some of her accolades include: WBAF World Excellence Award-Social Entrepreneurship 2021, Top 25 Quantum Technology Leader, Top 50 Global Leaders in Health Tech, Top 100 Visionary In Education Award 2021, Top 100 Global Women in Leadership Award 2021 and many more.

Krzysztof Ograbek is a self-proclaimed Brain Nerd & Book Lover. He helps people read more and learn faster and often posts about healthy brain habits, books, education, and learning how to learn.  #data #books #habits #education #lightsondata

What is the data lakehouse? What are its benefits and considerations? Should every organization invest in one? Sanjeev Mohan is the Principal at SanjMo and is a Former Gartner Research VP, Big Data and Advanced Analytics.

How do you get started in AI? What are some of the recommendations for a learning paths, resources to benefit from, potential career paths and more? Our guest today is Vini Jaiswal. She is a Data AI Influencer, Published Author, Keynote Speaker, and currently a Developer Advocate at Databricks.

There's always the people side of any data project and we often forget that we need to manage change for the stakeholders and teams involved and not just the deliverable itself. In this episode we'll talk about those best practices on better dealing with the people side of managing data projects. Dan Everett is the VP Product & Solution Marketing at Informatica. He has more than 20 years of experience in data and analytics spanning strategy, governance, management and ethics. His passion is helping people understand how to use data to improve business and organizational outcomes.

Let's connect the dots between data management, data governance, responsible AI, diversity and inclusion and see how we can become a cognitive enterprise. Debbie Botha is a Chief Partnership Officer with Women in AI.

How to you ensure the value of your predictive analytics projects? How do you best estimate the ROI before the project stars? Let's find out. Keith McCormick is an independent consultant, trainer, speaker, and author of seven books. He has created over 20 LinkedIn Learning courses and frequent conference workshops, and has reached 1000s of individuals trying to learn statistics, machine learning, and data science.