Category: 3-SometimeTechTalk

Tomasz is a general partner at Theory Ventures, a venture capital firm focused on early-stage software companies.

He’s a coauthor of Winning with Data, a deep dive into how big data has changed business best practices and organizational culture.

Tomasz was on the podcast back in 2023. Give it a listen!

Explore Tomasz’s writing.

Follow Tomasz on LinkedIn.

Ryan Petersen is the CEO of Flexport. Adam Parker is the CEO of Trivariate Research. Today we host an 'emergency' special report on the impact of tariffs on tech and the economy. Join us for the first half where Petersen breaks down what the administration is hoping to do with its tariff policy, whether it's advisable, what the near and long term impacts will be, and whether Trump will blink. In the second half, Parker, a star equity analyst, highlights how Amazon, Apple, Google, Meta, Microsoft, NVIDIA, and Tesla will react to the tariffs. Tune in for a comprehensive deep dive on what's driving the biggest economic disruption in years and what happens from here.

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Here's Ryan Petersen's tariff briefing: https://youtu.be/Z1rBu2-lEY8?si=8ptEQdrU9yiCHWLO

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Topics covered in this episode:

• Git Town solves the problem that using the Git CLI correctly
• PEP 751 – A file format to record Python dependencies for installation reproducibility
• git-who and watchgha
• Share Python Scripts Like a Pro: uv and PEP 723 for Easy Deployment
• Extras
• Joke

See the full show notes for this episode on the website at pythonbytes.fm/427

Meet Marie Lora-Mungai, expert advisor in African creative industries and sports business and founder of Restless Global - whose 20-year journey from CNN journalist to production company founder to industry advisor gives her a unique vantage point on Africa's creative economy. In thought-provoking conversation with Andile Masuku, Lora-Mungai makes a compelling case for African filmmakers to stop seeking funding for traditional productions and instead leverage AI tools to create content independently. Episode overview: The discussion stems from Lora-Mungai's viral Linkedin post warning African filmmakers about AI disruption. She points to a jarring disconnect: while some creators are still trying to raise millions for conventional productions, others are creating professional-quality content using AI tools on a laptop. The conversation explores how this technological shift is redefining what it means to be a filmmaker in 2025 and beyond. Key topics: - The widening gap between traditional film projects and AI-enabled production - How AI tools are eliminating conventional barriers to content creation - The shift from specialised roles to comprehensive creative vision - Why traditional fundraising may be obsolete for many productions - The changing landscape for talent, especially voice actors and performers - Emerging regulatory needs for protecting creative identity in an AI world Notable points: 1. Many Nollywood filmmakers are not yet leveraging AI, though the first AI-themed movie releases this month in Nigeria 2. Independent filmmakers Hussain Sambal are creating professional-quality content using AI with minimal resources 3. Lora-Mungai advises creators to "build in public" rather than spending time seeking traditional funding 4. AI tools are making traditional film specialisations like editing and visual effects increasingly obsolete 5. Blockchain and Web3 technologies may become essential for tracking and monetising creative assets in an AI-dominated landscape Be sure to listen out for a particularly candid moment when Masuku reveals he recently turned down offers from companies wanting to replicate his voice using AI, and Lora-Mungai's forthright response about the inevitability of this transformation. Here's a link to Marie Lora-Mungai's inciting Linkedin post: https://www.linkedin.com/posts/marieloramungai_african-filmmakers-we-need-to-talk-about-activity-7312399340570918912-uVie?utm_source=share&utm_medium=member_desktop&rcm=ACoAAAGwgRYBG52bgfG6IE0hzny7wKy24y4L_74) Image credit: Restless Global

Mustafa Suleyman is the CEO of Microsoft AI and a co-founder of DeepMind. He joins Big Technology to discuss Microsoft's strategy to build more personalized and emotionally intelligent AI companions. Tune in to hear how Microsoft is differentiating its AI offerings through personality design, memory features, and action capabilities that could transform our digital interactions. We also cover Microsoft's data center plans, its relationship with OpenAI, and predictions about when we might reach AGI. Hit play for a fascinating look at the future of human-AI relationships and what it means for work, technology, and society.

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Questions? Feedback? Write to: bigtechnologypodcast@gmail.com

2024 was a defining year for AI investment. Read the HumanX/Crunchbase report.

You can learn more about HumanX or register for next year’s event, April 7-9, 2026 in San Francisco.

Follow Stefan on LinkedIn.

Follow Jager on LinkedIn. 

Justin Brown, CEO of the Center for Public Sector AI and former Secretary of Human Services for the State of Oklahoma joins the show to level-set on where things stand with AI adoption in government—especially at the state and local levels. From small-scale AI implementations to larger strategic trends, we explore how emerging technologies are reshaping service delivery across health and human services. We also discuss the evolution of leadership conversations around AI, how states are approaching policy differently, and the rise of lightweight, outcomes-focused use cases.

Ivan Poupyrev grew up in the Soviet Union, studying rocket science. He moved to the US in 2013 to pursue the early days of VR. He has worked at Disney and Google, and has been focused on merging the physical and digital world for many years. Prior to this latest revolution, Ivan was one of the skeptics towards the idea of AI. But at Google, he was convinced by one of his now co-founders, the value in this tech.

Nick Gillian has been working in real time Machine learning for nearly 2 decades - but path here was a bit different. His background is in music and audio engineering - think the math behind amps, studios, mixers, etc. During his masters studies, he fell in love with sensors, and participated in early development and advancement of this tech alongside machine learning. He built a toolkit, which eventually got the attention of Ivan.

Ivan was working at Google, and one of his team members began utilizing the toolkit built by Nick. Upon discovering this, Ivan reached out to Nick to see if he wanted to join the top secret team - and eventually, Nick convinced Ivan of the power of machine learning and AI.

This is the creation story of Archetype AI.

Sponsors

• Mailtrap
• PropelAuth
• Tecla
• Speakeasy
• QA Wolf
• SnapTrade

Links

• https://www.archetypeai.io/
• https://www.linkedin.com/in/ivan-poupyrev/
• https://www.linkedin.com/in/nick-gillian-b27b1094/

Our Sponsors:
* Check out Vanta: https://vanta.com/CODESTORY


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Ranjan Roy from Margins is back for our weekly discussion of the latest tech news. We cover 1) OpenAI's $40 billion fundraise 2) Is the $40 billion number real? 3) Can OpenAI live up to the expectations that come along with the money? 4) What OpenAI will spend the cash on 5) AI products are growing fast 6) Would you go to AI therapy? 7) Is AI a letdown? 8) Why AI boasts have gotten ahead of the technology 9) AI's brand risk 10) Was the problem with Apple Intelligence actually AI, not Apple? 11) Amazon launches Alexa Plus with missing features 12) Elon Musk's xAI acquires Elon Musk's X

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Enjoying Big Technology Podcast? Please rate us five stars ⭐⭐⭐⭐⭐ in your podcast app of choice.

For weekly updates on the show, sign up for the pod newsletter on LinkedIn: https://www.linkedin.com/newsletters/6901970121829801984/

Want a discount for Big Technology on Substack? Here’s 40% off for the first year: https://tinyurl.com/bigtechnology

Questions? Feedback? Write to: bigtechnologypodcast@gmail.com

The Gene Simmons of Data P rotection: Protegrity's KISS Method

Today, we are kicking off a new series on the podcast, entitled The Gene Simmons of Data Protection - the KISS Method, brought to you by none other than Protegrity. Protegrity is AI-powered data security for data consumption, offering fine grain data protection solutions, so you can enable your data security, compliance, sharing and analytics.

Episode Title: KISS (Keep It Simple, Stupid): A Data Security Dilemma with James Rice

In this episode, we are talking with James Rice, VP at Protegrity. He is going to help us strip away the nonsense, when it comes to securing data, and help us understand why we don't need a fortress... just a kill switch. While companies throw billions at firewalls, AI driven threat detection, and fortress like defenses - attackers still find their way in. James reminds us to keep it simple, with Protegrity's KISS Method which stands for Keep It Simple Stupid - and how when data is useless to attackers, breaches become mere inconveniences instead of existential threats.

Questions:

• What exactly is the KISS method, and how does it apply to cybersecurity?
• Why are traditional cybersecurity approaches failing to stop breaches?
• What are some of the biggest myths about security that lead businesses to waste money on ineffective defenses?
• How do encryption, tokenization, and de-identification work together to make stolen data useless?
• Can you share an example where a company’s focus on complex security backfired, and how a simpler approach could have helped?
• What’s the biggest pushback you hear from companies hesitant to adopt a simpler, data-first security model?
•  If a company wanted to implement the KISS method tomorrow, what are the first three steps they should take?

Links

• https://www.protegrity.com/
• https://www.linkedin.com/in/jamesrice1/

Our Sponsors:
* Check out Vanta: https://vanta.com/CODESTORY


Support this podcast at — https://redcircle.com/code-story/donations

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