26.1 AI Podcast Brian Ray; Don Sheu

Brian and Don welcome a much anticipated guest for this episode, Professor Fernando Perez joins us for an episode of 26.1 AI Podcast. Dr. Perez speaks about his journey, the community, and all the challenges along the way. Fernando shares in his inimitable style, how he journeyed from straight laced physicist in pursuit of an academic career to doggedly ignoring naysayers and creating one of the most important components of the modern PyData stack. One personal challenge during this journey was losing a friend Dr. John Hunter. John also influenced your host Brian Ray. Though John missed collaborating when Fernando set out with IPython because of conflicts from prior commitments, the two joined in later to collaborate on advancing tools data scientists use every day now. Sit back and enjoy Fernando's dexterity on multiple topics as hosts Brian Ray and Don Sheu hold on for the ride for your benefit listener.

[Part 2 of 2] 
Listeners join in for a wonderful conversation in this episode. Our guests Matthew Rocklin and Hugo Bowne-Anderson are extending access to powerful distributed computing for more data users with their startup Coiled (https://coiled.io/). Data scientists with a two minute download of Coiled’s software (https://cloud.coiled.io/) can scale their work to the cloud. 
We discuss during the episode how conversations with the open source community resembles early customer conversations commonly used by entrepreneurs in a lean startup framework. Dask’s creator and Coiled founder Matthew described his software design approach that has a decided minimalist bent. A great benefit for users of popular Python libraries because of Matt’s approach is a familiar interface when using Dask or Coiled to extend the power of popular PyData stack tools. 
Our conversation turns to how Coiled has the capability to extend more computation power to many casual users of Python who are interested in solving data problems pragmatically without rebuilding a data factory every time. 

[Part 1 of 2]

Listeners join in for a wonderful conversation in this episode. Our guests Matthew Rocklin and Hugo Bowne-Anderson are extending access to powerful distributed computing for more data users with their startup Coiled (https://coiled.io/). Data scientists with a two minute download of Coiled’s software (https://cloud.coiled.io/) can scale their work to the cloud.

We discuss during the episode how conversations with the open source community resembles early customer conversations commonly used by entrepreneurs in a lean startup framework. Dask’s creator and Coiled founder Matthew described his software design approach that has a decided minimalist bent. A great benefit for users of popular Python libraries because of Matt’s approach is a familiar interface when using Dask or Coiled to extend the power of popular PyData stack tools.

Our conversation turns to how Coiled has the capability to extend more computation power to many casual users of Python who are interested in solving data problems pragmatically without rebuilding a data factory every time.

[Join us next week for Part 2]

Tileli Amimeur changed direction from a fast track traditional software career based on intriguing invitation to apply coding to biology. This shift followed study in undergrad and grad schools at University of Texas, and a string of jobs with top notch traditional technology companies. Now Tileli is happily applying computation in search of important cures with an interdisciplinary team of AI experts, biologists, and chemical engineers. A must listen no matter your day job. Listen for an understanding of how AI is touching every point of human experience, including coding proteins for cures.

Our prior guest e2f CEO Michel Lopez introduced this week's guest. Intento founder Konstantin Savenkov walks us through a tutorial on how to buy and sell AI. A dense episode worth a listen both for anyone considering buying AI for an enterprise, and founders seeking to sell an AI product to buyers. Intento serves companies making sense of 32 different possible translation vendors. Intento identified the complexity presented to buyers by such a large population of possible vendors as a good market opportunity for building a company. For startups seeking to find product market fit, Konstantin shares step by step the series of decisions that led Intento to concentrate on helping companies with selecting machine translations vendors. We discuss some practical advice on pitfalls many enterprises encounter trying to force procurement process built for buying traditional software onto decisions on new work processes created by AI products.

Our guest Kingsley Ndoh, MD has a global health project centered in Ondo state in Nigeria, where he endeavors to collect the largest set of cancer related data on people of African descent. We discuss during the episode, before algorithmic bias, how biased decisions about data collection has fatal consequences for cancer patients of African descent. Dr. Ndoh speaks about how Black Panther star Chadwick Boseman was far younger than current guidelines in the United States for early screening of colon cancer. Perhaps guidelines would change for the age to start early screening of cancer if we had the data on diverse populations. Listen all the way through for a consequential discussion that may help guide you as you practice your profession. Dr. Ndoh started out life in Jos, Nigeria. After training as a physician, he pursued his systems level interest in healthcare with further study at the University of Washington. He completed a masters in public health at UW, and since completing the degree he's joined the faculty.