Technically Minded

Technically Minded

By CrederaBusiness
Download on the App Store

Technically Minded episodes

  • MLOps best practices: Part 2

    In Part 2 of our MLOps best practices series, Chief Data Scientist Vincent Yates, Chief Technology Officer Jason Goth, and Credera Senior Architect and MLOps expert Amanda Aschenbrenner, dig deeper into the engineering challenges associated with getting MLOps into production.

    32 min
  • Maximizing your organization's cloud transformation journey

    With the increase of cloud investment, it’s no longer a question of if the cloud is a differentiating factor, but how leaders can leverage cloud strategy for differentiated value. Learn how Credera’s cloud transformation framework unlocks the “how” with innovation at enterprise scale, all while maintaining cloud security.

    39 min
  • MLOps best practices: Part 1

    Artificial intelligence (AI) and machine learning (ML) can undoubtedly offer significant benefits to most organizations, but only when used correctly. So what does it take to get a machine learning application into development, and into development reliably, securely, and repeatably?

    Today we’re focusing on the challenges associated with MLOps and discussing a few solutions for CDOs and CIOs to implement in their organizations.

    42 min
  • Understanding the role of the Chief Data Officer

    While the role of the CDO is on the rise, most Chief Data Officers still struggle with the ambiguity of their role and the massive responsibility of transforming their organization to become data-driven.

    In our latest podcast, Chief Data Scientist Vincent Yates and Credera's CTO Jason Goth discuss a few key questions about the role of the CDO:

    • What are the blockers to a CDOs success? How they can navigate those to find success?
    • Who should CDOs report to?
    • What does the role of the CDO need to include?
    • If organizations don’t have a CDO, should hire internally or externally?
    • What is the best way for CDOs to drive value?
    • Referenced in the show:

      • Strategy&
      • Data and AI Leadership Executive Survey 2022 
      • 51 min
      • 6 practices for successful AI/ML investments

        Machine learning (ML) and artificial intelligence (AI) have revolutionized industries and our daily lives, so why is it that 90% of ML models still never make it to production? 

        Credera's CTO Jason Goth and Chief Data Scientist Vincent Yates are discussing the top lessons they've learned over years working with clients in this domain. Here are the 6 practices they recommend for ensuring your AI/ML investments are successful:

        1. Take a Design-First Approach
        2. Keep it Simple
        3. Know the Limitations of Your Data
        4. There’s More Engineering in an AI/ML Solutions than AI or ML
        5. You Can’t Decompose Modeling Problems Like Software Domains
        6. Data Scientists Don’t Know How Much Things Cost
        7. 48 min
        8. Is low-code the future for marketing?

          It used to be that when companies needed new information systems, they had to hire a developer or use off-the-shelf software. Now, however, there’s a third option: Low-code and no-code applications. But how can leaders know when they’re right for your organization?




          35 min
        9. Real ways to make development go faster

          As businesses plan new ways to integrate software into their companies, many believe the challenge becomes, "how can we code faster?" For most large organizations, the real problem with writing code has nothing to do with actually writing code. 

          In this episode, Jason Goth and Vincent Yates make the case that the real challenge for organizations when integrating new software efficiently is how to take a holistic process view and iterate faster. 



          44 min

        About Technically Minded

        From the publisher's feed

        Technically Minded brings together some of the brightest sparks in technology and transformation consulting to wax lyrical on current trends and challenges facing organisations today.