Talking the Future of Tech
We dive into AI, manufacturing and how to improve manufacturing outcomes by better analyzing data.
If you are interested in manufacturing or advanced applications of AI and digital twins – which is where we create accurate representations of physical items – this episode will hit all of your favorite topics!
Transcript: otter.ai/u/xNB0GZQXB4hQMly991…?utm_source=copy_url
We explore the UEFI certificate issue in which secure boot is potentially compromised. Certificates that are included in most UEFI BIOSes have been compromised in ways that could easily be used as an attack vector, a very significant flaw and something that should be on your purview and radar to fix and patch.
We’re going to talk about what the issue is, why it’s important, how secure boot works, and what you can do to mitigate this problem in your own infrastructure. An important episode for anybody running or managing desktops, data centers or any infrastructure of any type.
Transcript: otter.ai/u/H15Z2NZDom8Hta8gHJ…?utm_source=copy_url
We discuss the impact AI and data sovereignty data protection will have on platforms, consolidated management of your data like in Office by Microsoft or Google, on premises, and systems. This includes a whole bunch of data that you will want to use to train AI models to improve your day to day operations, but you probably don’t want a lot of vendors pulling that data apart and transiting it. We have a fascinating discussion about how the market is impacting these forces.
Transcript: otter.ai/u/gpyotjoYz5ev-1Q2yv…?utm_source=copy_url
This episode is one of our book club episodes starring John Walpole, who wrote the Two But Rule, which is very tongue in cheek while also very serious about momentum thinking and using a negative bouncy discussion pattern.
I like to think of it as a bouncy discussion pattern to really explore ideas and drive ideation in a positive way by asking and challenging people’s ideas in a constructive way.
Transcript: otter.ai/u/2-CzhoZXo1U9URwEc3…?utm_source=copy_url
This episode explores the intersection of infrastructure automation and security through the lens of the Crowd Strike outage. We’ll discuss the tension between maintaining stable, reliable data center infrastructure and the need to embrace change and innovation.
Recent events like the CrowdStrike outage demonstrate the paradox that infrastructure teams face. We’ll dive into the importance of having multiple control planes and standardized processes that can adapt to rapid industry changes.
Transcript: otter.ai/u/Wos9IOPfpSGPOYNT-A4muQccA5w
We start talking about walled gardens and the momentum and push that causes us to get into vendor active environments in this episode. This is going to be a multi-part discussion where we look at the drivers of AI in the future.
In this case, we used up a lot of time before this recording talking about Kubernetes and what’s next for Kubernetes and containers, as well as how that ecosystem has been shaping up. This conversation is about the wall gardens that could be broken down, and in some cases, have actually been built taller because of containerization and Kubernetes and infrastructure and how infrastructure works.
After that background before going into the discussion, we pick it up on how these ecosystems and walled gardens are self reinforcing as well as chinks in the armor that will allow us to go back to interoperable standards.
Transcript: otter.ai/u/oZiuGGiJwjsvycVosq…?utm_source=copy_url
Power, electrical power, and how the upcoming trend of AI data centers is intersecting as a load with generation, storage, transportation, Bitcoin mining and mining all use power. These are all highly interconnected in how we use and manage the grid, but are using power in different ways.
Transcript: otter.ai/u/mszdgZE5_TG_H6lywY…?utm_source=copy_url
Analog computing is the idea of non-digital computing. Not quanta, but non-digital, basically using analog circuits, either electrical circuits or potentially even mechanical or fluid circuits, to perform calculations and control systems. These are surprisingly common, especially in older devices, but less common in current and modern devices.
But they’re making a comeback, in part because they’re very fast and efficient, but also because with AI tooling and digital twinning, we can design these circuits much more effectively. With 3D fabrication we can actually create these circuits more effectively if they’re mechanical.
Transcript: otter.ai/u/WRIb_V_hWt9KBcbCXY…?utm_source=copy_url
Cloud2030Analog ComputingHybrid SystemsSystems EngineeringSpace Tech
We revisit where we are with Crypto – more specifically where we are with distributed ledger technology or DLT. We give pertinent and real examples of places where the core technology behind Crypto is thriving and making a big difference, as well as has regained its value. We discuss the human impacts of that and what went wrong.
Transcript: otter.ai/u/1je6MzCQuv0U_9_MOa…?utm_source=copy_url
Martez Reed and I have an in depth conversation about the challenges of propagating technology inside of enterprises, this core challenge of selling silos and individual technologies. What Martez describes as beneficial tool sprawl versus building up systems and integrating things and end to end technology. This is what I’ve been calling infrastructure pipelining. We break down what’s going on in the street related to Open Source technology, Kubernetes, other aspects of what’s happening and how things fit together in an interesting and dynamic way.
Transcript: otter.ai/u/2M4P8U1haMsoT2ahg3…?utm_source=copy_url