To beat fossil fuels for energy density and portability, EV charging has to be fast and ubiquitous. But the infrastructure to deliver charging is expensive, both in the chargers themselves and the power infrastructure to deliver the electricity. Companies delivering charging infrastructure are thus cautious, wanting to be sure they’ll make back their investment.

But this isn’t somewhere we can afford to be timid. Stable Auto employs machine learning algorithms to build a cloud based SaaS product that can run deep analytics to determine optimal locations for EV charging. This lowers the risk for infrastructure investment, making it easier for businesses to justify capital investment and hastening the EV revolution. Higher profitability will inevitably also lead to more entrants in the market driving prices down for consumers and accelerating the adoption curve.

Rising energy costs and thoughtful legislation have created a landscape where work like Stable’s can enhance ROI for the companies capable of delivering the infrastructure while simultaneously benefiting consumers by increasing the density of EV charging options. It’s a fantastic example of capitalism driving climate impact. Jamie spoke with us about Stable’s machine learning approach, the state of the US energy industry, and the truly shocking amount of electricity that’ll be necessary to fully switch to EVs.

And, you can work for Stable! They’re hiring for all roles.

Our guest, Jamie Schiel

Jamie Schiel is the Co-Founder and CTO of Stable. Before co-founding Stable, Jamie helped pioneer the use of drones by electrical utilities in New Zealand before landing at MIT Media Lab, where he built a billion frames-per-second camera for automotive and medical sensing. His contributions to clean transportation and energy earned him a spot on the Forbes 30 Under 30 list.

https://www.linkedin.com/in/jamieschiel/

Stable Auto: https://stable.auto/

Your Hosts

Mansi Shah - Joshua Marker

ClimateStack

In this episode we speak with Dr Soudip Roy Chowdhury, CEO of Eugenie.ai. Eugenie is building an AI platform that is helping to reduce carbon emissions from asset-heavy manufacturing operations. Many industrial processes, such as steel and cement production, require large amounts of energy to generate high temperature process heat. The current reliance on fossil fuels for this energy makes it difficult and economically prohibitive to switch to low-carbon alternatives and effectively decarbonize.

These industries are the epitome of what we think about when we think of carbon emissions. They are vast, generate a tremendous amount of carbon impact, and aren’t going anywhere. Eugenie.ai is tackling the problem by bringing accuracy to emission measurement using an ensemble of methods and then deep learning their way to the most optimal operational practices. In our conversation we learned just how medieval some of this tech is, which is great news - there’s a tremendous amount of slack in the system to take up. Eugenie’s platform is able to improve production, reduce wastage, and improve product quality all while reducing ~30% of emissions – and because of rising costs, do it at a net financial gain to companies.

Though a complete overhaul might be long ways out, the smallest efficiency gain brought about in the industrial sector by machine learning adds up to carbon saving comparable to fixing the entire transportation industry!

Our Guest, Soudip Roy Chowdhury

Soudip Roy Chowdhury is the founder and CEO of Eugenie.ai. He has successfully taken Eugenie from the conceptualization stage to a merger, transforming it from 0 to 1. Eugenie has been featured by Google I/O, CNBC, Forbes, and major analyst reports as an innovative solution for industrial decarbonization.

With over 18 years of professional experience, Soudip has held various technical leadership roles at IBM Research, Rakuten, Tata Elxsi, Fractal AI Inc., and other AI and data startups across three continents. He holds a PhD in machine learning and is passionate about applying AI to solve large-scale problems such as climate change.

At Eugenie, Soudip and his team are building an AI platform to decarbonize asset-heavy manufacturing operations. A nature lover and avid traveler, he shares his environmental passion with his daughter. In addition to his work at Eugenie, Soudip advises several startups in sustainability, AI, and healthcare domains. He is an advisor on the Forbes Tech Council, serves as an AI/ML advisor for DevNetwork, and holds an adjunct faculty position at IIT Kharagpur in India.

Eugenie: https://www.linkedin.com/company/eugenie-ai/

Soudip: https://www.linkedin.com/in/soudiprc/

Your Hosts

Mansi Shah - Joshua Marker

ClimateStack

In this episode we speak with Charles Humble, climate polymath and author, about why we as software engineers should think about energy consumption of our workloads. We also talk about how nascent legislation and standards are turning externalities into real costs, forcing innovation that gives us more control over software energy usage. Charles has encyclopedic knowledge of the history of the industry and is a former CTO himself, so his judgments are practical, realistic, and applicable.

It’s easy to become cynical when you learn that our industry uses about 300TWh per year, about the consumption of Brazil. What I admired about Charles is that despite his knowledge, he was optimistic. He used a comparison to acid rain, to bring home “We can fix this problem,” and goes on to tell us how we can do the same for tech industry as well.

Listen to learn that there may actually be useful things you can do, now and in the future, to shape your system’s energy usage and energy policy of the large hyperscalers.

Our Guest, Charles Humble

Charles Humble is a freelance consultant, author and podcaster. A former software engineer, architect, and CTO he has worked as a senior leader and executive of both technology and content groups. He was InfoQ’s editor-in-chief from 2014-2020, and was chief editor for Container Solutions from 2020-2023.

He writes regularly for The New Stack and other publications, is a highly experienced content strategist, and has spoken at multiple international conferences including Devoxx, GOTO, WTF is SRE and QCon. His primary areas of interest are how we build software better, including sustainability and ethics, cloud computing, remote working, diversity and inclusion, and inspiring the next generation of developers.

Charles is also a keyboard player, and half of the ambient techno band Twofish.

You can find him on linkedIn at https://www.linkedin.com/in/charleshumble/

Links to Charles' Mentions

• The BBC 4 program, “Costing The Earth” https://www.bbc.co.uk/programmes/b006r4wn
• WATTime, information and APIs for optimizing energy usage: https://watttime.org/
• Green Software Foundation: We are building a trusted ecosystem of people, standards, tooling and best practices for green software: https://greensoftware.foundation/. They make an API that is a wrapper around WATTime and other carbon intensity data for real-time optimization: https://sci-guide.greensoftware.foundation/I/APIBased/
• Holly Cummins, senior principal software engineer at Quarkus for Red Hat: https://www.linkedin.com/in/holly-k-cummins/
• Amazon is making sustainability datasets more readily available: https://aws.amazon.com/blogs/publicsector/aws-announces-simpler-access-sustainability-data-launches-hackathon-accelerate-innovation-sustainability/

• Books
  • “Building Green Software” by by Anne Currie, Sarah Hsu, Sara Bergman: https://www.oreilly.com/library/view/building-green-software/9781098150617/
  • “

Your Hosts

Mansi Shah - Joshua Marker

ClimateStack