• [embed]https://youtu.be/9I0s5WX7Fjs[/embed]

    Check out this episode to learn about:

    • How Industry 4.0 is going to affect industry and the workforce, and how robotics fits into this emerging field • The challenges as a robotics manufacturer to get businesses to adopt autonomous robots • What can autonomous mobile robots do for businesses without a massive investment

    Resources/links:

    waypointrobotics.com www.linkedin.com/in/jasonwalkerlinkedin/ www.youtube.com/channel/UCWun7QcW54KCjJXkg__E86w

    Summary:

    Jason Walker is the co-founder and CEO of Waypoint Robotics, developers of easy-to-use industrial autonomous mobile robots. With over 15 years of experience in the robotics industry, Walker’s accolades include awards for multiple academic robotics competitions, as well as multiple patents for various robot-related technologies. In this episode of the Roboticist, Jason discusses the current trend of automation in manufacturing technologies, commonly referred to Industry 4.0, and the challenges faced by both the designers of autonomous robots, and the companies looking to adopt them.
  • https://youtu.be/rm9o95BIT0o

    Check out this episode to learn about:

    • The questions to ask when thinking about using Artificial Intelligence
    • When should you start embracing AI for your business.
    • The first steps you should take when undertaking an AI solution.

    Resources/links:

    https://www.linkedin.com/in/oliverchristie/

    https://foxymachine.com

    Summary:

    Oliver Christie is an Artificial Intelligence Architect, Strategist and Futurist who helps companies with adopting, developing, and building advanced technologies. Oliver was named 1 of 10 influencers driving AI in Business by CBR and is a prolific writer.

    In this episode of the Roboticist, Oliver discusses when and how companies should start to adopt AI within their businesses

  • 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

    Resources/links:

    https://bctpartners.com

    https://www.linkedin.com/in/peter-york-544042b/

    Summary:

    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

    Resources/links:

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

    Summary:

    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.  

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).

Subscribe to get new episodes emailed to you.