Makers at Work: Folks Reinventing the World One Object or Idea at a Time


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Kettl holds a PhD in political science from Yale University. Kettl is a shareholder of the Green Bay Packers, along with his wife, Sue. He shared his AI project FakerFact. He shared lifecycle of an AI project and what are somethings that leaders could keep in mind to help create a successful data science AI team.

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This podcast is great for leaders learning to build a strong AI workforce. Mike's most recent passion in research has involved applying Machine Learning techniques to help combat fake news through the FakerFact. In this podcast RobertoMaranca shared his thoughts on running a large data driven organization.

He shared his thoughts on future of data organizations through compliance and privacy. He shared how businesses could survive policy like GDPR and prepare themselves for better data transparency and visibility. This podcast is great for leadership leading a transnational corporation. Want to sponsor? In this podcast BesaBauta from MeryFirst talks about the compliance and privacy challenges faced in hyper regulated industry. With her experience in health informatics, Besa shared some best practices and challenges that are faced by data science groups in health informatics and other similar groups in regulated space.

This podcast is great for anyone looking to learn about data science compliance and privacy challenges. She oversees the Research, Evaluation, Analytics, and Compliance for Health REACH division, including data governance and security measures, analytics, risk mitigation, and policy initiatives. She holds a Ph.

Makers at Work: Folks Reinventing the World One Object or Idea at a Time

Her research has focused on health systems, mental health, and integration of technology to improve population-level outcomes. He sheds light into some of the big opportunities in open source and how businesses could work together to achieve progress in data science. Dan also shared the importance of smooth communication for success as a data scientist. Starting with the unusual work of analyzing potential jury pools in the s, Dan also did some of the first PC based voter registration analytics in the Chicago area including putting the first complete list of registered voters on a PC as hard as that is to imagine today a 50 megabyte harddrive on DOS systems was staggering.

Interested in almost anything new and technical, he worked at The Chicago Board of Trade where he taught himself BASIC to write algorithms while working as an Arbitrager in financial futures. After the military Dan moved to San Francisco where he worked several small companies and startups designing and implementing some of the first PC based fax systems who cares now!

Dan's current just for fun Project is working to create an app that will record and analyze bird songs and provide the user with information on the bird and the specifics of the current song. He shared his analytics journey, his perspective on how other businesses are engaging in data analytics practice. He also sheds some light on best practices that businesses could adopt to execute a successful data strategy.

He also serves on the advisory boards of multiple university and professional analytic programs. His focus has always been to help translate complex analytics into terms that business users can understand and to then help an organization implement the results effectively within their processes. His work has spanned clients in a variety of industries for companies ranging in size from Fortune companies to small non-profit organizations.

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Andy shared his journey on what some of the businesses and its leaders are doing wrong and how businesses needs to rethink their data silos to future proof themselves. This is a good podcast for any data leader thinking about cracking the code on getting high quality insights from data. Andy has a specific passion for projects at the intersection of computer science and the life sciences. He shared some of the best practices, opportunities and challenges with respect to team dynamics, process orientation and leadership relationship building. He shared some of the best practices and opportunities that resides in HR data.

Aaron also shared some tactical steps to perform to help build a better data driven teams to execute data driven strategies. This podcast is great for folks looking to explore the depth of HR data and opportunities that resides in health and medicine domain. Key thought leader, international speaker, team builder and data architect in building advanced and one-of-a-kind technical and data infrastructure to support precision medicine initiatives in large and cutting edge health care institutions.

Experience in start-up and new team development. Proven change-agent in diverse organizations and politically charged environments.

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A catalyst to create vision, motivation and results across entire enterprise. Creative thinker; organized, resolute, and able to direct multiple competing priorities with great precision while meeting strict deadlines and budget requirements. Strong healthcare and research industry knowledge, particularly in Life Sciences, with expertise in the development, implementation, and support of large data enterprise architectures.

Excellent interpersonal skills; able to work effectively with individuals of diverse backgrounds and inspire teams to work to their fullest potential. They shared their insights on a cleaner way to create strategies for a future proof and transformation friendly organization. Their tactical suggestions goes a long way in helping install a robust strategy to increase responsiveness. In the past, he led the design firm Doblin and was a senior partner at Monitor Group, serving as a member of its global Board of Directors before the company was acquired by Deloitte.

He has been with some form of Monitor for more than 25 years. He is also a member of the Deloitte U. Goldbach helps executives and their teams transform their organizations by making challenging and pragmatic strategy choices in the face of uncertainty. He is an architect, expert practitioner, and teacher of the variety of strategy methodologies developed and used by Monitor Deloitte over the years.

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Serving clients in many industries, including consumer products, telecommunications, media and health care, Goldbach helps companies combine rigor and creativity to create their own future. He shares some key takeaway insights for aspiring leaders to take for managing large enterprise data science practice. He shared the importance of collaborations and growth mindset via partnership. He discussed his "So what" approach to problem solving.

His primary responsibilities include leading enterprise-wide data initiatives providing strategy and policy guidance for data acquisition, usage and management. He joined the company in July Before joining CUNA Mutual group, Harsh spent many years working in information technology, analytics and data intelligence.

He worked at Capital One Financial Group in Plano, Texas, for 17 years where he most recently focused on creating an effective data and business intelligence environment to manage risks across the company as the Head of Risk Management Data and Business Intelligence.

A native of India, Harsh earned a B. In his spare time, Harsh enjoys golfing, and spending time with his wife, Rashimi, and their son who is 12 and a daughter who is 8. He sheds light on the opportunities in industrial IoT space and shared some insights into the mechanism of running a data science startup in IoT space. She shared some tactical suggestions for any future leader. Drew has been writing and speaking about the role of data — and the discipline of data science — in industry, government, and academia for several years. Drew has advised and consulted companies across many industries; ranging from fledgling start-ups to Fortune companies, as well as academic institutions and government agencies at all levels.

Drew started his career in counter-terrorism as a computational social scientist in the U. DrewConway on creating socially responsible data science practice.


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DrewConway on creating socially responsible data science practice FutureOfData Podcast In this podcast Drew Conway DrewConway from Aluvium talks about his journey on creating a socially connected and responsible data science practice. He shared tactical steps and suggestions to help recruite the right talent, build the right culture and nurture the relationship to create a sustained and impactful data science practice. The session is great for folks caring to create a self sustainning and growth compliant data science practice. He sheds deep insights on what machines perceive as intelligence and how to evaluate the current unwrapping of AI capabilities.

This podcast is a must attend for any one who wish to understand what all AI is all about.

Alexander D. Wissner-Gross is an award-winning scientist, engineer, entrepreneur, investor, and author. In , he completed his Ph. A popular TED speaker, his talks have been viewed more than 2 million times and translated into 27 languages. Running a data science startup, one decision at a time Futureofdata podcast.

The session is filled with insights for leadership looking for entrepreneurial wisdom to get on data driven journey. Hadapt was acquired by Teradata in Justin earned a BS in Computer Science from the University of Massachusetts at Amherst and an MBA from the Yale School of Management About Podcast: FutureOfData podcast is a conversation starter to bring leaders, influencers and lead practitioners to come on show and discuss their journey in creating the data driven future.

Marc also shared some tactical steps to perform to help build a better data driven teams to execute data driven strategies.


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This podcast is great for folks looking to explore the depth of HR data and opportunities that resides in it. ADP Analytics provides its clients not only the ability to read the pulse of its own human capital…but also provides the information on how they stack up within their industry, along with the best courses of action in order to achieve its goals through quantifiable insights. JohnNives on ways to demystify AI for enterprise.

He shared his perspective on how businesses should engage with AI and what are some of the best practices and considerations for businesses to adopt AI in their strategic roadmap. This podcast is great for anyone seeking to learn about way to adopt AI in enterprise landscape. Prior to joining N2Growth, Mr. Examples include CognitiveTV and the application of external unstructured data social, weather, etc.

Prior relevant experience includes executive leadership positions at Nielsen, IRI, Kraft and two successful advertising technology acquisitions Appnexus and SintecMedia. In this capacity, Jean-Louis combined information, analytics and technology to created significant business value in transformative ways. He is married with four children and lives in the New York City area.

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AmyGershkoff on building winning DataScience team. Amy sheds light on challenges of building a successful team and how businesses could align themselves to get maximum out of their data science practice. Amy discussed some tricks, tips and easy to execute strategies to keep the data science team and practice at the top of its efficiency. This is a great session for anyone who wants to be part of a winning and thriving data science practice within organization.

Amy Gershkoff consults and advises technology companies across the globe. She is the former Chief Data Officer for Ancestry, the world's leading genealogy and consumer genomics company. Want to fix DataScience? He sheds light on the importance of data governance and compliance in defining a robust data science strategy. He suggested tactical steps that executives could take in starting their journey to robust governance framework.

He talked about how to take away scare from governance. He gave insights on some of the things leaders could do today to build robust data science teams and framework.

Makers at Work: Folks Reinventing the World One Object or Idea at a Time Makers at Work: Folks Reinventing the World One Object or Idea at a Time
Makers at Work: Folks Reinventing the World One Object or Idea at a Time Makers at Work: Folks Reinventing the World One Object or Idea at a Time
Makers at Work: Folks Reinventing the World One Object or Idea at a Time Makers at Work: Folks Reinventing the World One Object or Idea at a Time
Makers at Work: Folks Reinventing the World One Object or Idea at a Time Makers at Work: Folks Reinventing the World One Object or Idea at a Time
Makers at Work: Folks Reinventing the World One Object or Idea at a Time Makers at Work: Folks Reinventing the World One Object or Idea at a Time
Makers at Work: Folks Reinventing the World One Object or Idea at a Time Makers at Work: Folks Reinventing the World One Object or Idea at a Time
Makers at Work: Folks Reinventing the World One Object or Idea at a Time Makers at Work: Folks Reinventing the World One Object or Idea at a Time

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