Thursday, June 7, 2018

The Cloudcast #350 - Accenture Cloud Platform

Aaron and Brian talks with Michael Liebow (@mliebow, Global Managing Director, @AccentureCloud) about evolving the Accenture culture to deliver on-demand cloud services, working across multiple cloud platforms, managing complex cloud billing models, and leveraging serverless technology to improve operations.

Show Links:

Show Notes
  • Topic 1 - Welcome to the show. You’ve done some fairly significant things (Gov’t, VC/Board, CEO, International Business, Startups, etc.) prior to joining Accenture. Tell us about your background and some of your focus areas at Accenture.
  • Topic 1a - Let’s start by talking about the Accenture Cloud Platform (ACP) and how it has adapted to the Accenture culture (consulting). How do you bridge a culture of broad projects to a cloud offering with defined services?
  • Topic 1b - What do Accenture clients expect from the Accenture Cloud Platform both in terms of technology as well as culture/organizational shifts (e.g. DevOps, Digital Transformation, move into new markets, etc.)?
  • Topic 2 - In large corporations, what are realistic timelines before technology changes or cultural changes start to make a material impact on the business?
  • Topic 3 - Recently the ACP team was recognized for some new innovation around “tagging” cloud assets in multiple environments. How important is it to be able to bring basic concepts like tagging to corporations for consistency (terminology, asset management, compliance, billing, etc.)?
  • Topic 4 - We’ve heard that there is some pretty unique technology behind the scenes of the ACP - e.g. the entire platform runs as a set of serverless functions. Is this true, or what other tidbits can you share with us about building a global, multi-tenant cloud platform?

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?

    Thursday, February 15, 2018

    The Cloudcast #334 - The Future of Edge Computing

    Brian talks with Derek Collison (@derekcollison, Founder and CEO at Synadia Communications) about the future of edge computing, the impact of AI/ML on edge systems, and how Telcos and open source communities will evolve with edge computing opportunities.

    Show Links:

    Show Notes
    • Topic 1 - Welcome to the show. We’ve spoken with you many times over the years, but first time on the podcast. Your background is very well documented, so maybe give us a little glimpse into your latest company - Synadia Communications.
    • Topic 2 - (Public) Cloud Computing has grown in lock-step with the growth of the smartphone (since 2007), creating a specific pattern of application/communication and data collection. What are the forces that are driving all the attention around the Edge Computing evolution (e.g. sensors, smart cars, peer-to-peer patterns, etc.)?
    • Topic 3 - What do the economics of Edge Computing look like today? Where are the big bottlenecks, or areas for big disruption? Does it vary widely depending on the application (e.g. sensor data vs. streaming vs. telemetry) , or geography (e.g. dense cities, transportation networks, rural areas, etc.)
    • Topic 4 - You’ve talked about the Google Brain project for a long time. We’ve seen growth around centralized AI/ML for the last 5-7 years. Do you expect a different mode of AI/ML that has to emerge because Edge Computing patterns will be significantly different than centralized models, or do they need small adaptations?
    • Topic 5 - You’ve need heavily involved with messaging technologies over the years, from TIBCO to NATS. Can you share some insight into how messaging (or async communications) that might need to evolve at the edge, in more distributed types of systems?