Wednesday, April 25, 2018

Listen to The Cloudcast

The Cloudcast #344 - Bringing AI to Edge Computing

Aaron and Brian talk with Simon Crosby (@simoncrosby, CTO) and Simon Aspinall (@sapsinall, CMO) at new AI startup SWIM.AI about the changing landscape of the cloud and edge, the vertical industry opportunities with edge computing, how AI is being applied to real-time events, and how SWIM is enabling new thinking for those use-cases.

Show Links:

Show Notes
  • Topic 1 - Welcome back to the show. Let’s put some voices with names, since we have two Simons today.
  • Topic 1a - You’re both coming off of successful companies that you built or grew (Simon Crosby - Bromium, Zen Source), (Simon Aspinall, Virtustream). What motivated you to get involved in both the AI and Edge Computing space?
  • Topic 2 - Let’s start with the basics. There’s lots of data happening at the edge. This means there is lots of potential value at the edge. But the computing and network at the edge is different than the centralized cloud. Walk us through how to extract that potential value?
  • Topic 3 - SWIM’s technology is called EDX. How does EDX get deployed, and what needs to live around it to make it valuable to companies. Are there edge and cloud components?
  • Topic 4 - We were learning about EDX and came across the concept called “digital twins”. What does this mean and what does it do?
  • Topic 5 - What are some of the initial use-cases that you’re finding interesting in EDX?

Thursday, March 29, 2018

The Cloudcast #340 - Adding AI into Software Platforms

Brian talks with Srinivas Krishnamurti (@skrishna09; Founder/CEO of Zugata) about the evolution of workplace management, how companies should think about problems that might require AI, the level of complexity needed to add AI to existing platforms, and how to manage the Human-to-AI interactions in software.

Show Links:

Show Notes
  • Topic 1 - Welcome to back the show. Remind people about Zugata and give us some updates on Self-Improvement as a Service.
  • Topic 2 - Zugata recently launched “Zugata Insights”
  1. Improve Company Culture
  2. Eliminate Gender Bias
  3. Better Understand the Skills & Attributes of Top Performers
  • Topic 3 - Zugata is a SaaS-based platform. How do you add AI-centric services to a SaaS platform?
  • Topic 4 - What is the state of available technology to add AI capabilities (e.g. existing open source tools, or cloud-based services) vs. having to hire that skill vs. retraining in-house developers?
  • Topic 5 - Your tools directly interact with human-centric issues. How much adaptation has to happen to steer AI around human-centric decisions vs. non-human-centric decisions?

Thursday, March 22, 2018

The Cloudcast #339 - Understanding Cryptocurrencies & Markets

Aaron talks with Jesse Proudman (@jesseproudman; Founder of @StrixLeviathan) about entrepreneurship, his new company Strix Leviathan, the basics of cryptocurrencies and markets, how these markets are evolving and what's next for their platform.

Show Links:

Show Notes
  • Topic 1 - Jesse, catch everyone up on the last few years. You had a good exit at BlueBox and then went on to a DE (Distinguished Engineer) position at IBM.
  • Topic 2 - Tell us about your journey to founding Strix Leviathan and this interesting intersection of AI and cryptocurrency. Was this a hobby that turned into a passion which turned into your next thing?
  • Topic 2a (Lightning Round) - Some cryptocurrency basics
  1. What is a cryptocurrency? What does it use as it’s basis of value?

  2. How do the cryptocurrency markets work? What are the basic elements someone needs to understand?
  3. Cryptocurrencies have been crazy volatile for the last few years. Is it good to have currency be so volatile? 
  • Topic 3 - Cryptocurrency is in the early days. What are some of the struggles today you see and the challenges folks entering this market are facing. For instance in a TechCrunch article you mention API issues with trading as an example of the infancy of the platforms. What do you think happens to the market in the both the short and long term?
  • Topic 4 - What problem is Strix Leviathan ultimately trying to solve for?
  • Topic 5 - It appears the engine today is two parts: a cryptocurrency tracker (data ingestion) and a trading engine. Correct? Where does the AI part fit into all of that? Is it doing the analysis and making recommendations on trades or does it actually perform the trades?
  • Topic 6 - Just this week you received a $1.6M funding round. What’s next for the platform and where are you headed?
  • Topic 7 - You took a slightly unconventional approach to startup with BlueBox, what lessons did you learn that you will bring forward to this venture?