Podcasts

Katharine Jarmul and Ethical Machine Learning

Today on The InfoQ Podcast, Wes talks with Katharine Jarmul about privacy and fairness in machine learning algorithms. Jarmul discusses what’s meant by Ethical Machine Learning and some things to consider when working towards achieving fairness. Jarmul is the co-founder at KIProtect, a machine learning security and privacy firm based in Germany, and is one of the three keynote speakers at QCon.ai.

Grady Booch on Today’s Artificial Intelligence Reality and What it Means for Developers

On the podcast today, Wes Reisz and Grady Booch discuss what today’s reality is for AI. Booch answers questions like what does an AI mean to the practice of writing software, and how it seems to impact delivering software. In addition, Booch talks about AI surges (and winters) over the years, the importance of ethics in software, and host of other related questions.

Joe Beda on Kubernetes & the CNCF

Today on The InfoQ Podcast, Wes Reisz talks with Joe Beda. The two discuss the recent purchase of Heptio by VMWare, the Kubernetes Privilege Escalation Flaw (and the response to it), Kubernetes Enhancement Proposals, the CNCF/organization of Kubernetes, and some of the future hopes for the platform.

Megan Cartwright on Building a Machine Learning MVP at an Early Stage Startup

In this podcast, Megan Cartwright discusses why their customers need a more personal experience and how they're using technology to help. She also talks about how the team got to an early MVP and then how they did the same for getting to an early machine learning MVP for product recommendations. Cartwright is the director of data science for the personalized bra company ThirdLove.

Lynn Langit on 25% Time and Cloud Adoption within Genomic Research Organizations

On today’s podcast, Wes Reisz talks with Lynn Langit about a concept she calls 25% time and a project it led her to become involved within genomic research. 25% time is her own method of learning while collaborating with someone else for a greater good.