• https://youtu.be/7J6lz967nqU

    Check out this episode to learn about:

    • An understanding of when to use ML and data science in a social, philanthropic, or government setting to make better decisions.
    • How to use data that has already been collected, and discovering what other data should be collected and analyzed.
    • Getting comfortable with probability over certainty in our research and analysis





    Peter York is a Partner at BCT Partners and leads the Data Analytics Team. He uses machine learning, statistical programming, and predictive/prescriptive analytics to create models to evaluate and improve the effectiveness of social programs for clients in the government, non-profit and corporate sectors. He has a book on the topic of evaluation for philanthropists – “Funder's Guide to Evaluation: Leveraging Evaluation to Improve Nonprofit Effectiveness”.

    In this episode of the Roboticist, Peter York talks about when and how to use machine learning and data science to make better decisions regarding social problems.

  • Check out this episode to learn about:

    • The difference between data analysis and data management
    • How to identify statistics problems in a business problem
    • Statistics advancements needed to work with AI


    https://www.bluesigmaanalytics.com/ http://amzn.to/YGhXzv


    Dr. Randy Bartlett, Ph.D. CAP, PSTAT is a Statistician/Statistical Data Scientist, the author of 'A Practitioner’s Guide to Business Analytics,’ and the co-founder of the LinkedIn group “About Data Analysis.” He specializes in strategic consulting for business analytics, data analysis, and data management. In this episode of The Roboticist, Dr. Bartlett discusses the importance of statistics in building Artificial Intelligence applications, and explains the differences between statistics, data analysis, and data management.  
  • Check out this episode to learn about:

    • The value of bringing in a 3rd party expert
    • Why readiness for change is vital to your RPA project
    • The importance of having good processes




    Frank Casale is the founder of The Institute for Robotic Process Automation and Artificial Intelligence. IRPA AI provides expert insight, education, and networking to help buyers, providers, and advisors navigate the rapidly changing landscape of automation solutions. In this episode of The Roboticist, Frank Casale tells us about the importance of having a good process before automating it, the organizational challenges that can come from change, and why you shouldn’t wing it, and bring in an expert, if you can.
  • Check out this episode to learn about:

    • Creating personalized learning journeys
    • How rapid assessments increase learning performance
    • The optimal studying formula




    Dr. Andrés Fortino is a thought leader, author, speaker, inventor, and educator. He’s authored eight books and 40 publications on innovation, invention, IT, higher education and entrepreneurship. Dr. Fortino is also the Co-Founder and Chief Learning Officer for Autonomous Professional Development, which uses proprietary autonomous education systems to measure an individual’s professional knowledge and advise them on reaching their learning goals. In this episode of The Roboticist we took a turn from our usual robotics, machine learning and artificial intelligence-focused discussion to focus on learning. Dr. Andrés Fortino tells us about how assessments can help create personalized learning journeys, how rapid assessments can increase learning performance and ensure quality learning, and the optimal studying formula (hint: there are no shortcuts!).

Meet the Host

I’m Frank Jacquette, and I started my software consulting company based on a simple premise: technology exists to make your life better. It seems like most technology companies plunge on to building the Next Cool Thing without remembering that the human being is the most important part of the system.


That premise has carried us far: we’ve been recognized three times in the Inc. 5000, six times in the Philadelphia 100, and written up as a great place to work.


We’ve successfully brought our approach to some of the largest companies in the world (and helped some smaller companies get much, much larger).

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