Data Futurology - Leadership And Strategy in Artificial Intelligence, Machine Learning, Data Science

Felipe Flores
Data Futurology - Leadership And Strategy in Artificial Intelligence, Machine Learning, Data Science

Artificial intelligence is a tremendously beneficial technology that's advancing at an incredibly rapid pace. As more and more organisations adopt and implement AI we find that the main challenges are not in the technology itself but in the human side, ie: the approaches, chosen problems and what's called 'the last mile', etc. That's why Data Futurology focuses on the leadership side of AI and how to get the most value from it. Join me, Felipe Flores, a Data Science executive with almost 20 years of experience in the space. Every week I speak with top industry leaders from around the world

  1. #244: Navigating Data Quality: Insights from the Chief Operator of Data Quality Camp

    16/08/2023

    #244: Navigating Data Quality: Insights from the Chief Operator of Data Quality Camp

    This week on the Data Futurology podcast, we host Chad Sanderson, the Chief Operator of Data Quality Camp. Over the ten years Sanderson has been involved in data, he has held key roles in companies including Convoy, a late-stage freight technology company, and Microsoft, where he worked on the AI platform team. Sanderson’s experience with these companies made him realise that there was a need for a platform where data specialists could come together and discuss strategies for maintaining high-quality data in their organisations. His group, Data Quality Camp, has since attracted nearly 8,000 members, and has become a real meeting place to discuss everything from the technical implementation of a data strategy, through to helping members find work in an increasingly dynamic and disrupted workplace environment. On the podcast, Sanderson highlights the strategies he has seen to deliver high-quality data environments, some of the traps and pitfalls to avoid, and how data specialists can better engage with and gain buy-in from the other lines of business within the organisation. For insights direct from someone at the heart of the data quality conversation, don’t miss this in-depth conversation with Chad Sanderson. Join the Data Quality Camp on Slack (https://dataquality.camp/slack) Connect with Chad: https://www.linkedin.com/in/chad-sanderson/ Thank you to our sponsor, Talent Insights Group! Join us for our next events: Advancing AI and Data Engineering Sydney (5-7 September) and OpsWorld: Deploying Data & ML Products (Melbourne, 24-25 October): https://www.datafuturology.com/events  Join our Slack Community: https://join.slack.com/t/datafuturologycircle/shared_invite/zt-z19cq4eq-ET6O49o2uySgvQWjM6a5ng

    39 min
  2. #243 Mastering DataOps and MLOps: Building a Strong Foundation for Success and Future Growth

    08/08/2023

    #243 Mastering DataOps and MLOps: Building a Strong Foundation for Success and Future Growth

    At Data Futurology’s OpsWorld conference in March, a panel of experts came together to discuss the importance of getting measurements, processes and methodologies right to drive DataOps and MLOps across the organisation. The panel consisted of Katherine Fowler, Head of Business Transformation at L’Occitane Australia, Amar Poddatooru, Head of Data and Technology at Australian Ethical, and Emyr James, Head of Data at Resolution Life and moderating the discussion was Andrew Aho, Regional Director, Data Platforms at InterSystems. It became a far-reaching discussion that started with methods to define and measure the ROI of data and analytics initiatives and how to get those projects off the ground. The discussion moved on to overhyped technologies in the data space, and then looked forward to what is on the horizon for the years ahead. As the panel discussed, there is a lot of interest among consumers in some innovative technologies, including ChatGPT. This is in turn driving a lot of interest at the executive level at rolling out solutions that use these tools. However, without the right foundations in place, and without proper concern for the privacy and regulatory risks associated with these tools, they will cause the data team more headaches than they’re worth. This panel discussion is essential for understanding how to structure a foundation for data success, be disciplined in deploying the available resources across the data team, gain executive buy-in, and then steadily build the practice up. Enjoy the show!  Thank you to our sponsor, Talent Insights Group! Join us for our next events: Advancing AI and Data Engineering Sydney (5-7 September) and OpsWorld: Deploying Data & ML Products (Melbourne, 24-25 October): https://www.datafuturology.com/events  Join our Slack Community: https://join.slack.com/t/datafuturologycircle/shared_invite/zt-z19cq4eq-ET6O49o2uySgvQWjM6a5ng What we discussed 2:07: Felipe introduces the Measurements Thought Leaders panel and moderator, Andrew Aho. 3:48: How do you define and measure data and analytics ROI? 7:21: A discussion on metrics that help get data initiatives off the ground. 9:41: How a data leader needs to focus on the data platform, and articulate both the “big picture” view and the details. 12:35: As more organisations adopt ops, processes and methodologies, what challenges might people anticipate arising, and how can those be addressed? 17:24: What can data professionals do to help solve the change management challenge? 18:34: What are the challenges and impact of upcoming “silver bullet” technologies like ChatGPT? 20:16: What is currently overhyped in the data space (and why)? 24:03: What can we as data scientists do to ensure that we’re looking at the right risks and drawing accurate conclusions on what is right for the business? 26:13: If the goal is to focus on data science, how can we also keep experimentation and creativity going? 29:49: How do you estimate the value of change to get executive buy-in? 31:18: What upcoming developments and trends will emerge over the next five to ten years?

    39 min
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Artificial intelligence is a tremendously beneficial technology that's advancing at an incredibly rapid pace. As more and more organisations adopt and implement AI we find that the main challenges are not in the technology itself but in the human side, ie: the approaches, chosen problems and what's called 'the last mile', etc. That's why Data Futurology focuses on the leadership side of AI and how to get the most value from it. Join me, Felipe Flores, a Data Science executive with almost 20 years of experience in the space. Every week I speak with top industry leaders from around the world

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