Showing posts with label AI/ML. Show all posts
Showing posts with label AI/ML. Show all posts

Wednesday, March 8, 2023

2023 Look Ahead for Developers

James Governor (@monkchips, Co-Founder @Redmonk) talks about Developer experience in 2023. Topics include trends, platforms, languages and culture.

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Topic 1 - Welcome back to the show. You are a rockstar in the developer world, and maybe unknown in the infrastructure world. Tell us a little bit about your background.

Topic 2 - [Developers as a Whole]  In 2023, do you think about developers any differently than you did in 2018 or 2021? Do you think about developers in terms of things they get done, or the types of work they do (front-end, back-end, mobile, data-science, etc.), or something else?

Topic 3 - [Trends] What are the big developer-centric trends that you are tracking or really have your interest? AI? Hosting services? Database services? WASM?  

Topic 4 - [Platforms]  Will we ever find that PaaS pot-of-golf at the end of the rainbow, or is the dream of platforms just a unicorn? Or do we have to realize that successful platforms are all micro-platforms? 

Topic 5 - [Languages] Redmonk famously tracks development languages every six months. It feels like there are only two trends - what stays the same, and the language that is the new hotness. Do languages really matter?  

Topic 6 - [Culture] Lots of people talk about changing a company’s culture to better serve the needs of developers. Do you have any examples of

Drunk Agile
Dan Vacanti and Prateek Singh drink whisk(e)y and discuss various facets of agile...

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Wednesday, March 30, 2022

Automating Decisions, Processes and ML without Code

Loren Goodman (CTO @InRule) talks about the intersection of AI/ML, DevOps, and Low Code/NoCode and making complex decisions using automation.

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SHOW NOTES:


Topic 1 - Loren, welcome to the show. How about a brief introduction and background. 

Topic 2 - Our audience shows an interest in AI/ML but at least as us as the hosts, we aren’t deep on the AI/ML side. So, let’s start at the start, what is a decision platform? How is AI/ML involved? And most importantly, why do companies need one?

Topic 3 - As I understand this, this is about an intersection of AI/ML with DevOps and then providing access to non-technical SME’s as well? Is this the correct way to think about this? How does this relate to automating complex decisions and how does this help the business? Does this stray into the topic of LowCode/NoCode?

Topic 4 - Anytime I think about automation, especially highly automated CI/CD pipelines, I worry about a ripple effect. Is it true to say the more complex the decisions, the higher the risk that something will not go as planned? Any recommendations or best practices/lessons learned you would like to share?

Topic 5 - This has me thinking about another trend, we keep hearing anything with Ops tacked on the back. Of course DevOps, then DevSecOps, AIOps, etc. Is this DecisionOps? What industries are typically drawn to these types of platforms? I can see this benefiting highly regulated industries. 

Topic 6 - As this may be a new topic for some, if folks want to learn more, how would you suggest they get started in this space?


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Wednesday, March 24, 2021

From Engineer to Technology Leadership

Nick Weaver (@lynxbat, VP Architecture, Innovation, Data/Analytics at @Dicks) talks about the journey from engineer to technology leader within large corporations, the challenges of leading teams during COVID, and the realities of digital transformation.  

SHOW: 500

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Topic 1 - Welcome back to the show. It’s been almost two years. What are you up to these days?

Topic 2 - The last 5-6 years, you’ve really embraced moving from being a hard-core, hands-on engineer to being a leader of very large technology teams, projects and initiatives. Walk us through some of the new muscles developed, some of the unexpected, and some of the stuff you still need to figure out.

Topic 3 - When you were at Nike, you lived through a legitimate “digital transformation”, both in how the company engaged with the market, but also how you dealt with suppliers/vendors. Help us understand some of the dynamics in going through those changes.

Topic 4 - We all know lots of people on the vendor side of things, and how those dynamics work as people compete, collaborate or change companies. How does that work amongst “customers”, either in the same industry or cross-industry?

Topic 5 - You’re still a technologist at heart. What technologies are interesting to you these days? 

Topic 6 - From where you are today, how would you mentor a young Nick Weaver that just did a 5 minute demo during an EMCworld keynote in 2008-2009? 


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Sunday, March 14, 2021

The Complexities of Edge Computing

It’s smaller computers, doing limited tasks. So why is Edge Computing so complicated, and why are there so many definitions?

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THE COMPLEXITIES OF EDGE COMPUTING

No single definition of edge, because of so many use-cases

  • Branch office
  • Near-Edge 
  • Far-Edge
  • Disconnected

Hardware can dictate quite a bit about edge characteristics

  • Custom-OS or COTS OS
  • General purpose HW or Specialized HW (GPU, NVMe, DPUs)
  • #of computing devices; volume of local storage

Networking can dictate quite a bit about edge characteristics

  • Are the devices always connected to the Internet?
  • How are disconnected environments handled?
  • How much bandwidth is available? Is it symmetric or asymmetric? 
  • What are the traffic patterns of the applications? Local vs. Backhaul. 

Security can dictate quite a bit about edge characteristics

  • How does Security happen on Day 0?
  • What are the security vs. usability tradeoffs? (direct user interaction) 
  • How is security maintained? (CVE, Local Security services, etc.)

Maintenance can dictate quite a bit about edge characteristics

  • How much does it cost to deploy new edges?
  • How often are the edges expected to be upgraded? 
  • How will maintenance happen? (Local tech, remote download, etc.)
  • How sophisticated is the Day 2 Ops? (Telemetry, Environmentals, Benchmarks, etc.) 

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Wednesday, August 19, 2020

Robotic and Intelligent Process Automation

Mike Kalinowski (@mxkalinowski, Senior Manager of Product at @Infor) talks about the basics of RPA, the challenges of automating diverse heritage systems, the emerging role of AI/ML in RPA, and the evolution of business analysts.

SHOW: 463

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SHOW NOTES:


Topic 1 - Welcome to the show. Tell us a little bit about your background and what attracted you to the interaction of business processes and technology automation.

Topic 2 - For anyone that isn’t familiar with the concept of RPA (Robotic Process Automation), can you give us a brief overview of the business problem it attempts to solve and the basic technology behind it? 

Topic 3 - We often hear about systems with APIs and how they can be automated and interacted with. But many back-end systems could be older, so how does RPA interact with these types of systems?  

Topic 4 - Oftentimes these automated workflows can involve inputs and outputs from various systems (applications). Who tends to be the owner of an RPA system, or does it blur the lines between groups? 

Topic 5 - As I look at what Infor OS provides around Intelligent Process Automation, very graphical, it seems like it overlaps with this “Low Code / No Code” trend/buzzword. Is there any reality to that, or are they very different things?  

Topic 6 - When I look at case-studies for RPA, the ROIs are usually incredible. How do companies often get started, and are there any gotchas you’d suggest people avoid?  



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Wednesday, June 17, 2020

MLOps, GPUs and AI Developers

Dillon Erb (@dlnrb, CEO @HelloPaperSpace) talks about what exactly is MLOps, Serverless AI platforms, and how developers can utilize GPUs for AI/ML.

SHOW: 455

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SHOW NOTES:

Topic 1 - Dillon, welcome to the show, tell us a little bit about yourself and how you got involved in this space?

Topic 2 - I’ve had a running joke on the show that a market doesn’t exist until you attach Ops to it. Today we’ll talk about MLOps. Give everyone an introduction for those not familiar.

Topic 3 - What exactly is a Serverless AI Platform? How does this differ from traditional CI/CD platforms that our listeners would be used too? Is this abstracting away the infrastructure layer for MLOps teams?

Topic 3a - Switching gears from Ops to Developers, what do you mean when you say that you make it easy for developers to use GPUs? What do developers need to know about hardware-level stuff like GPUs that they didn’t need to know with CPUs?

Topic 4 - As with all things emerging tech, the use cases are constantly evolving. What are the early initial use cases that you are seeing? Are there unique things that emerge for gaming or media applications?

Topic 5 - How does access to data models fit into all of this?

Topic 6 - I noticed your company did some articles on Covid-19, can you explain what is going on there?

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Thursday, December 19, 2019

Decade in Review & Reader Mailbag Questions

SHOW: 429

DESCRIPTION: Aaron and Brian discuss the biggest trends of the 2010s decade, and answer reader mailbag questions from 2019. 

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TRENDS FROM THE DECADE (2010-2019):

  • Hype or Not?: OpenStack, HCI, Docker, Cloud Foundry (or any PaaS), Kubernetes, Blockchain, AI/ML, Serverless
  • The re-invention of Microsoft (Azure, GitHub, Open Source, dropping failed efforts (Nokia, Windows Mobile)
  • It’s hard to believe that Google is still only 3rd or 4th in public cloud (and it’s leadership is questioning its future)
  • The rise of open-source in the Enterprise, and all the challenges this created across the industry
  • The rise of developer-lead decision-making (shadow IT, mobile apps, decentralized decision-making, serverless as NoOps)
  • Everyone still sucks at security, but now it’s a headline problem
  • 10 years of DevOps discussions and most companies still haven’t figured out that it’s org-charts and culture.
  • The shift from Config-Mgmt (Ansible, Chef, Puppet, Salt) to things like Immutable infrastructure, Declarative schedulers, GitOps, etc.)

READER MAILBAG QUESTIONS:

Question 1 - If you had to advise someone that’s 25, 35 and 45 about “career path” in IT, what tips might you give them? - Thomas T.

Question 2 - You guys see a lot of different technologies through the interviews. Which new ones do you think have longevity and which ones are potentially overhyped? - Michael C.

Question 3 - What “disruptive technology” is a more important skill to learn? - Erika B.

Question 4 - What the most misunderstood concept in IT today? Seema J.

Question 5 - Why do you think our industry is so obsessed with the idea that the new technology will completely eliminate the old technology? Has that ever really happened? - Jacob H.


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Thursday, November 21, 2019

Reviewing Microsoft Ignite 2019

SHOW: 425

DESCRIPTION: Aaron and Brian take a look at the Docker acquisition and review the Microsoft Ignite show and announcements

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Topic 1 - Insight and feel from the show floor and the event

Topic 2 -  Azure Arc

Topic 3 - Project Cortex

Topic 4 - Baby steps in GitHub integration

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Wednesday, July 24, 2019

Amazon's journey to MARS

SHOW: 407

DESCRIPTION: Aaron and Brian talk with Stu Miniman, (@stu, Sr Analyst, Host of @theCUBE, and GM of Content at SiliconANGLE Media) about the Amazon re:MARS event, and how it addressed technology trends in Smart Cities, Drones, Voice-Controlled Apps, IoT, Alexa, AR/VR, and AI/ML.

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Topic 1 - Welcome back to the show. You get to talk to more communities that we do. What are some of the interesting topics, trends or people you’ve seen over the last few months of traveling and events? 

Topic 2 - Jeff Bezos has apparently been hosting his own MARS event for a while now. Why did it become an Amazon event now? 

Topic 3 - MARS is Machine Learning, Automation, Robotics and Space. Some of that overlaps with AWS (Machine Learning, Automation), and some is on the fringe of AWS (Space). Who was attending this event and what were the overall themes?

  • Sessions include Smart Cities, Drones, Voice-Controlled Apps, IoT, Alexa, AR/VR, AI/ML

Topic 4 - There seem to be a number of sessions that included venture capital. Do you see this event as being less like a normal tech event, and more like a blurring of tech and VC, because some of these topics could involve significant levels of funding (smart cities, manned space travel, etc.)? 

Topic 5 -  AWS recently had an event called re:Inforce, which was targeted at Security. Do you think we’re beginning to see the disaggregation of re:Invent into specialty events and sub-categories of technology interests? 

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