Category: 3-SometimeTechTalk

This is the first episode of a UNAJUA Series focused on distilling a handful of global Web3 buzz trends like crypto, NFTs, the metaverse and even AI— reflecting how they are unfolding within an African context. Offering minimum viable insight in this series is the inimitable Kate Byrne. Kate has served as a C-Suite executive leader at blue chip brands such as Katapult X, SOCAP Global, Inc, Fast Company and the George Lucas Education Foundation. She is currently the Chief Impact Officer of PopVenture— a new financial system enabling everyone to invest in entrepreneurs and innovations that will impact all our lives. She is an experienced, strategic self-starter intent on channelling her many years of hands-on experience in traditional and new media, fintech, and tech community building to create useful products people need and love. Kate is also the host of two great podcasts worth checking out, Women Advancing and Rebels with a Purpose. So, are NFTs over? Listen in for Kate's nuanced international take. OP-ED: Africa's biotech industry can deliver social and economic returns by Sona Mahendra for African Tech Roundup (https://www.africantechroundup.com/africas-biotech-industry-can-deliver-social-and-economic-return-sona-mahendras/) EDITORIAL DISCLAIMER: While the Celo Community Fund supports this UNAJUA Series, African Tech Roundup maintains complete editorial oversight. Opinions expressed by contributors do not necessarily reflect the views of the African Tech Roundup or the presenting sponsor, Celo Community Fund. SUPPORT US: Value our work? Then, join our Patreon Community (www.africantechroundup.com/patreon/) and help the African Tech Roundup platform remain single-mindedly focused on serving Africa's tech and innovation ecosystem with robust independent insight and learning content.

Dr. Anna Lembke is a professor of psychiatry at Stanford University's School of Medicine and chief of its Addiction Medicine Dual Diagnosis Clinic. She's also the author of Dopamine Nation, a bestseller that uses neuroscience to explain why the pursuit of pleasure so often leads to pain. In this episode, we discuss Dr. Lembke's fascinating thesis about what happens to our brain chemistry each time we pick a device. Stay tuned for the second half, where we discuss whether a more invigorating but less happy life is worth it.

Since the day a hiring manager first wheeled a whiteboard into a conference room, software engineers have dreaded the technical interview, which can be an all-day process (or multi-day homework assignment). If you’re interviewing for multiple roles, you can expect to write out a bubble sort in pseudocode for each one. These technical interviews do no favors for hiring companies, either, because the investment needed from both parties limits the number of candidates a company can consider. In this age of data-driven decisions, perhaps there’s a way that AI and ML can help candidates and companies find each other.  

On this episode of the podcast, sponsored by Turing AI, we chat with Chief Revenue Officer Prakash Gupta about building a better hiring process with AI. Turing helps companies scale their engineering programs quickly with remote developers from around the world. We talk about how to vet a profession without standard markers, the benefits of soft skills, and how AI-assisted hiring helps everyone involved. 

While companies have been outsourcing development for years, COVID made the software industry almost entirely remote. Suddenly, every company has the ability to hire the best developers regardless of location. And good developers can find work at companies of all sizes without packing up and settling in Silicon Valley. 

But when any company could conceivably interview any candidate, how do you vet candidates at scale? There is no standardized board certification for software engineers, after all. Every interviewer has to vet the candidates themselves, and that’s where human biases come in. 

On one side, you have Fortune 500 companies developing complex systems and undergoing digital transformation projects, plus startups looking to scale their engineering organizations as their product finds market fit. On the other, you have a new generation of engineers trained on bootcamps and online resources who may not have opportunities where they live. That’s where Turing comes in, matching 1.7 million engineers from over 140 countries with jobs at hundreds of companies. 

Turing strives to mitigate bias by collecting hundreds of signals about candidates over a four- to six-hour process. This process covers projects candidates have worked on, technology aptitude, and soft skills through 30-minute tests, candidates’ online presence in places like GitHub and Stack Overflow, and qualitative assessments refined over two years of feedback loops. 

A process that once consisted of ten interviews can now drop to two or three at the most. Some Turing customers have eliminated interviews altogether, relying on Turing’s AI-powered solutions to surface and evaluate the best candidates. To see how Turing can streamline your interview process, either as a candidate or a company, check out turing.com today.

Adam Newman grew up in the suburbs of New York and Brooklyn. Now, he lives in the DC / Maryland area. His grandparents were immigrants, and owned a bakery and were Taylors. So the entrepreneur and self starter characteristics found in Adam are deeply rooted. He's married with 4 kids, and loves to spend lots of time outdoors and living vicariously through his childrens sports activities. He spends a lot of time helping his wife grow her education business, and she spends a lot of time supporting and encouraging him with his ventures.

Through his life experiences, including losing his Father to cancer, an idea originated in him around consumers owning their purchase data, while benefitting companies who cooperate with data privacy best practices. When a few things caught up in the world - data privacy rules, the industry, and Adam himself - he was able to step into creating a win-win solution around data.

This is the creation story of Pyrl.

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Topics covered in this episode:

• SQLCodeGen
• The death of setup.py*, long live pyproject.toml
• aiocache
• Hatch: a modern, extensible Python project manager
• Extras
• Joke

See the full show notes for this episode on the website at pythonbytes.fm/297

Topics covered in this episode:

• SQLCodeGen
• The death of setup.py*, long live pyproject.toml
• aiocache
• Hatch: a modern, extensible Python project manager
• Extras
• Joke

See the full show notes for this episode on the website at pythonbytes.fm/297

Heather is a General Partner at OSS Capital, which provides VC backing to seed-stage COSS (commercial open source) startups. Her law practice focuses on intellectual property and open-source licensing, and she serves on the IEEE-ISTO Board of Directors.

Connect with Heather on LinkedIn or explore her work on her website.

Today’s Lifeboat badge goes to user keshlam for their answer to the question Why do we need abstract classes in Java?.

Ryan Gallant, the Chief Executive Officer at SLATE Research & Consulting joins the show to discuss modular approaches to government IT modernization and why agencies don’t need to completely modernize all their systems, infrastructure, and processes at once. We also discuss how cybersecurity is moving from a theoretical, omnipresent challenge to an engrained part of IT and he gives advice to the private sector to help them establish their technologies into strategic plans for agencies.