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    News

    The Enterprise AI Show

    The Enterprise AI Show explores the AI journey for Enterprise companies around the world.  [formerly The Cloudcast] 

    As the AI revolution moves from experimentation to execution, The Enterprise AI Show provides the clarity needed to lead. Join Aaron Delp and Brian Gracely as they explore the intersection of generative AI, enterprise systems, and global business strategy. Each episode features clear-headed conversations with the people making actual decisions—founders, investors, and practitioners—focusing on the technical architectures and business models that drive real-world ROI.

    New shows every Wednesday and Sunday. 

    Topics: Enterprise AI strategy · The AI Economy ·  LLMs in production · AI leadership · Agentic AI ·  Digital Sovereignty · Machine Learning · AI startups ·  Cloud Computing 

    Advertise

    Copyright: © 2024 Massive Studios

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    Latest Episodes:
    Developer Tools for Kubernetes Oct 02, 2019
    Show notes

    SHOW: 417
    DESCRIPTION: Brian talks with Ellen Korbes (@ellenkorbes, Developer Relations at @garden_io) about the emerging sets of tools and frameworks to make it easier for application developers to interact with Kubernetes.

    SHOW SPONSOR LINKS:

    • PricingWire: Monetization & Pricing Strategy for Software & Technology Innovators
    • PricingWire - Pricing Metric Decision Guide


    • Datadog Homepage - Modern Monitoring and Analytics
    • Try Datadog yourself by starting a free, 14-day trial today. Listeners of this podcast will also receive a free Datadog T-shirt
    • [FREE] Try an IT Pro Challenge
    • Get 20% off VelocityConf passes using discount code CLOUD


    CLOUD NEWS OF THE WEEK:

    • Cloudflare - Workers Sites: Extending the Workers platform with Serverless building blocks
    • WeWork pulls IPO, will restructure under new CEOs
    • Docker, once worth over $1 billion, tells employees it's trying to raise cash amid 'significant challenges'


    SHOW INTERVIEW LINKS:

    • Garden Homepage
    • Ellen’s Homepage
    • The State of Kubernetes Development Tooling


    SHOW NOTES:

    Topic 1 - Welcome to the show. Tell a little bit about your background, and some of the things that you do in your day-to-day of Developer Relations with Garden.

    Topic 2 - Kubernetes is a weird system because it involves containers and schedulers, neither of which developers really want to deal with. So why has Kubernetes become so popular, if it’s potentially not that friendly for developers?

    Topic 3 - There has been a lot of activity in open source communities to create ways to make it easier for developers to work with Kubernetes. Some of those have been “PaaS” offerings (s2i, buildpacks, etc.), and some have been new tooling (e.g. Helm, Draft, Skaffold, Forge, Telepresence, Garden, and Tilt). Can you tell us about some of the new tooling - how do they map to developer needs?

    • Debugging - Squash, KubeFwd, Stern
    • “Connect” - KubeFwd, Telepresence, Ksync
    • Development Orchestrators - Garden, Skaffold, Tilt

    Topic 4 - In going through the different tools, what have you found are the ones that make the most immediate impact for developers?

    Topic 5 - As Kubernetes get more popular and widely used, do you think it’s important for developers to have to learn about Kubernetes? Or do you think that the external tooling will abstract it enough for them to be productive without that knowledge?

    FEEDBACK?

    • Email: show at thecloudcast dot net
    • Twitter: @thecloudcastnet and @ServerlessCast<

    FEEDBACK?

    • Email: show @ the enterprise ai show dot com
    • Bluesky: @TheEntAIShow.bsky.social
    • Twitter/X: @TheEntAIShow
    • Instagram: @TheEntAIShow

    Dashboards, Metrics and Observability Sep 25, 2019
    Show notes

    SHOW: 416
    DESCRIPTION: Brian talks with Björn Rabenstein (Engineer at @Grafana) about the intersection of Dashboards, Metrics, Monitoring and Observability.

    SHOW SPONSOR LINKS:

    • Digital Ocean Homepage
    • Get Started Now and Get a free $50 Credit on Digital Ocean


    • PricingWire: Monetization & Pricing Strategy for Software & Technology Innovators
    • PricingWire - Pricing Metric Decision Guide
    • [FREE] Try an IT Pro Challenge
    • Get 20% off VelocityConf passes using discount code CLOUD

    CLOUD NEWS OF THE WEEK:

    • Congress begins to investigate anti-trust behavior of Amazon and AWS
    • Microsoft “Project Saturn” to re-architect AzureStack based on containers
    • GitHub/Microsoft acquires Semmle (code analysis)

    SHOW INTERVIEW LINKS:

    • Grafana Labs Homepage
    • Björn’s talk at VelocityConf - “What remains of dashboards and metrics without the hype and anti-patterns”
    • Björn’s talk at SRECon - “SRE in the Third Age”
    • Björn’s GitHub and LinkedIn
    • Book: “Seeking SRE”

    SHOW NOTES:

    Topic 1 - Welcome to the show. Tell about your background prior to joining Grafana Labs. (worked with Julius Volz at Soundcloud, guest on The Cloudcast on Eps.263 and Eps.319).

    Topic 2 - I saw a tweet the other day that said, “CIO directive to cut contracts because they have 37 monitoring tools and still the reliability is poor...". Your talk at VelocityConf is about the hype around observability and monitoring. What is the state of Ops visibility?

    Topic 3 - Let’s start by talking about good hygiene and good practices. What types of things should Ops teams, SREs and even Developers always been doing to have good visibility of their environments?

    Topic 4 - What are the big mistakes that companies make, or what anti-patterns are becoming more pervasive?

    Topic 5 - As a builder of tools, and an operator of tools, what are some of the things you wish more Dev knew, but maybe don’t know what to ask?

    FEEDBACK?

    • Email: show at thecloudcast dot net
    • Twitter: @thecloudcastnet and @ServerlessCast

    FEEDBACK?

    • Email: show @ the enterprise ai show dot com
    • Bluesky: @TheEntAIShow.bsky.social
    • Twitter/X: @TheEntAIShow
    • Instagram: @TheEntAIShow

    Chaos Engineering and Team Health Sep 18, 2019
    Show notes

    SHOW: 415
    DESCRIPTION: Brian talks with Paul Osman (@paulosman, SRE Engineering Manager @UnderArmour) about aligning business value to Chaos Engineering, measuring its impact, and changing team culture to embrace the chaos.

    SHOW SPONSOR LINKS:

    • PricingWire: Monetization & Pricing Strategy for Software & Technology Innovators
    • PricingWire - Pricing Metric Decision Guide


    • Digital Ocean Homepage
    • Get Started Now and Get a free $50 Credit on Digital Ocean
    • [FREE] Try an IT Pro Challenge
    • Get 20% off VelocityConf passes using discount code CLOUD

    CLOUD NEWS OF THE WEEK:

    • Kong announces "Kuma" Service Mesh
    • "Maesh" - by Containous - simpler Service Mesh

    SHOW INTERVIEW LINKS:

    • Paul’s Books (Microservices with JavaScript, Microservices Development)
    • [video] Embracing Chaos - DevOps Day Austin
    • [Velocity] Managing Chaos: Chaos Engineering and Team Health
    • Under Armour Homepage
    • “Chaos Engineering” on previous episodes of The Cloudcast

    SHOW NOTES:

    Topic 1 - Welcome to the show. Before we get into Chaos Engineering, let’s talk a little bit about your background and some of the things you did prior to joining Under Armour.

    Topic 2 - We’ve talked about Chaos Engineering a few times on the show before. At a company level, what are some of the things (Connected Health) where it makes sense for Under Armour to be investing in Chaos Engineering and developing expertise around this discipline?

    Topic 3 - Walk us through how a team at Under Armour thinks about Chaos Engineering, from the business need to think about scheduling it (or not scheduling it), measuring it, and then communicating the results back within your team and to management.

    Topic 4 - I think people think that Chaos is a periodic event, like a DR test, but in reality, it needs to be somewhat of an on-going activity. How do you connect the dots between this on-going Chaos and actual problems in your systems - and how/when to measure problems (or what to measure)?

    Topic 5 - What is the most difficult part about getting the team culture to understand that Chaos is an important part of day-to-day activities and dealing with “failure” being part of the system?

    FEEDBACK?

    • Email: show at thecloudcast dot net
    • Twitter: @thecloudcastnet and @ServerlessCast

    FEEDBACK?

    • Email: show @ the enterprise ai show dot com
    • Bluesky: @TheEntAIShow.bsky.social
    • Twitter/X: @TheEntAIShow
    • Instagram: @TheEntAIShow

    Knative Serverless Sep 11, 2019
    Show notes

    SHOW: 414
    DESCRIPTION: Brian talks with Sebastien Goasguen (@sebgoa, CTO/Co-Founder at @TriggerMesh) about the evolution of the Knative project.

    SHOW SPONSOR LINKS:

    • Digital Ocean Homepage
    • Get Started Now and Get a free $50 Credit on Digital Ocean


    • PricingWire: Monetization & Pricing Strategy for Software & Technology Innovators
    • PricingWire - Pricing Metric Decision Guide
    • [FREE] Try an IT Pro Challenge
    • Get 20% off VelocityConf passes using discount code CLOUD

    CLOUD NEWS OF THE WEEK:

    • HashiCorp collaborates with Microsoft to deliver service mesh ‘as a service’ on Microsoft Azure
    • HashiCorp launches key multi-cloud provisioning capabilities in Terraform Cloud for individuals, teams, and enterprises
    • Microsoft acquires Movere for Cloud migrations -
    • Stripe launches “Stripe Capital”

    SHOW INTERVIEW LINKS:

    • Triggermesh Homepage
    • Sebastian’s Knative Serverless talk at VelocityConf
    • Sebastian on previous episodes of The Cloudcast (here, here)
    • [Tutorial] Cloud-Agnostic Serverless (from KubeCon 2019)

    SHOW NOTES:

    Topic 1 - Welcome back to the show. Almost a year ago, you launched TriggerMesh with Mark Hinkle. How is the business doing?

    Topic 2 - A couple of years ago, you helped create a technology called Kubeless, to do Serverless/FaaS on Kubernetes. And then Knative came along. For people that aren’t familiar with Knative, can you give us a Tl;DR on what it is and how it has evolved as a standard for Kubernetes?

    Topic 3 - Let’s talk about the different elements of Knative and how each one of them is evolving - Build, Serving and Eventing.

    • Building is now "Project Tekton"

    Topic 4 - Can we talk about the differences between “Serverless” and “Functions-as-a-Service”, especially in the context of different frameworks, and event sources?

    Topic 5 - Triggermesh has been very early in delivering Serverless or Functions-as-a-Service via Knative. What are some of the lessons you’ve learned (use-cases, customer preferences, area of education) over the last year?

    Topic 6 - Do you have any insight into some of the things that might be coming next in Knative?

    FEEDBACK?

    • Email: show at thecloudcast dot net
    • Twitter: @thecloudcastnet and @ServerlessCast

    FEEDBACK?

    • Email: show @ the enterprise ai show dot com
    • Bluesky: @TheEntAIShow.bsky.social
    • Twitter/X: @TheEntAIShow
    • Instagram: @TheEntAIShow

    Everything is a Little Bit Broken Sep 04, 2019
    Show notes

    SHOW: 413
    DESCRIPTION: Brian talks with Heidi Waterhouse, (@wiredferret, Developer Advocate @LaunchDarkly) about the challenges of balancing stability and agility, from a technology perspective and a cultural perspective.

    SHOW SPONSOR LINKS:

    • PricingWire: Monetization & Pricing Strategy for Software & Technology Innovators
    • PricingWire - Pricing Metric Decision Guide


    • Digital Ocean Homepage
    • Get Started Now and Get a free $50 Credit on Digital Ocean
    • [FREE] Try an IT Pro Challenge
    • Get 20% off VelocityConf passes using discount code CLOUD

    CLOUD NEWS OF THE WEEK:

    • Donate to the Red Cross for victims of Hurricane Dorian

    SHOW INTERVIEW LINKS:

    • Heidi Waterhouse (homepage)
    • Heidi’s upcoming keynote at Velocity (Berlin)
    • LaunchDarkly Homepage

    SHOW NOTES:

    Topic 1 - Welcome to the show. We’re going to talk about broken systems today, but before we get into that, let’s talk about your background, and what types of things you work on at LaunchDarkly.

    Topic 2 - As we start seeing companies adopt a lot of these new technologies and methods (Agile, DevOps, Microservices, Distributed Systems, Cloud-Native Apps, Continuous Integration, etc.) we’re seeing them go through this interesting transformation of having to think differently about how things should work and how they might break. This is an area that you talk about quite a bit.

    Topic 3 - There is a 5 9s mentality and there is a release daily intro production mentality that sort of seem at odds with each other. How do we start figuring out how to manage that big space in between those two world views? Or can they be the same?

    Topic 4 - By adding in error budgets, layered access, and other accommodations for failure and for designing our systems for function over form or purity - we learn how to add resiliency to their system by learning to trust but mitigate their reliance on the perfect performance of their underlying tools.

    Topic 5 - You get to talk to a lot of developers and architects. What are some of the best ways that you’ve seen them not only grasp these concepts but communicate them up to their management chains so they educate them about the terminology and concepts?


    FEEDBACK?

    • Email: show at thecloudcast dot net
    • Twitter: @thecloudcastnet and @ServerlessCast

    FEEDBACK?

    • Email: show @ the enterprise ai show dot com
    • Bluesky: @TheEntAIShow.bsky.social
    • Twitter/X: @TheEntAIShow
    • Instagram: @TheEntAIShow

    2019 Mid-Year Industry Update Aug 28, 2019
    Show notes

    SHOW: 412
    DESCRIPTION: Brian talks with Brandon Whichard (@bwhichard, Co-Host of Software Defined Talk podcast) about the tech/cloud trends that have shaped the first half of 2019.

    SHOW SPONSOR LINKS:

    • Digital Ocean Homepage
    • Get Started Now and Get a free $50 Credit on Digital Ocean
    • Datadog Homepage - Modern Monitoring and Analytics
    • Try Datadog yourself by starting a free, 14-day trial today. Listeners of this podcast will also receive a free Datadog T-shirt
    • [FREE] Try an IT Pro Challenge
    • Get 20% off VelocityConf passes using discount code CLOUD

    CLOUD NEWS OF THE WEEK:

    • VMware announces Project Pacific - unified vSphere and Kubernetes
    • VMware announced "Tanzu" multi-cloud Kubernetes management framework

    SHOW INTERVIEW LINKS:

    • Software Defined Talk Podcast

    SHOW NOTES:

    Topic 1 - Welcome to the show. I’ve been listening to your show, Software Defined Talk, for quite a while. Tell us about your show, your co-hosts and the types of things you discuss on the show?

    Topic 2 - What are some of the biggest trends you’ve seen (or been discussing) so far in 2019? Anything really surprise you?

    • Big IPOs in 2019 - AirBnB, Uber, Lyft, Pinterest, WeWork, Zoom, etc. - the GigEconomy
    • The rise of Kubernetes, the decline of Cloud Foundry
      • Pivotal getting acquired --
      • Mesosphere now D2IQ going Kubernetes
      • Docker gets a new CEO
    • OSS licensing wars
    • VMware seems to be acquiring a new company every week
      • VMware + Heptio + Pivotal + Bitnami= ?
      • VMware now has a managed offering in AWS, Azure, IBM Cloud, GCP, Alibaba

    Topic 3 - AWS has continued to be the leading public cloud for a decade now. Do you see anything slowing AWS down?

    Topic 4 - There were lots of articles earlier in the year about big public cloud contracts between web companies and the public cloud (hundreds of millions in cloud spending). Many of those companies are now struggling as they have gone IPO. If they struggle to make revenue (and subsequently their cloud payments), do you see this having any effect on sentiment about public cloud?

    Topic 5 - There is starting to be some noise in the news and the markets about a potential economic slowdown. How much do you think about what that might mean to the tech industry, and subsequently buyers and users of tech? Sometimes in slower times, we see the creativity of new tech emerge (2001 - mass websites; 2007/8 - AWS and iPhone, 2019/2020 - ??)
    FEEDBACK?

    • Email: show at thecloudcast dot net
    • Twitter: @thecloudcastnet and @ServerlessCast

    FEEDBACK?

    • Email: show @ the enterprise ai show dot com
    • Bluesky: @TheEntAIShow.bsky.social
    • Twitter/X: @TheEntAIShow
    • Instagram: @TheEntAIShow

    Blockchain beyond the Database Aug 21, 2019
    Show notes

    SHOW: 411
    DESCRIPTION: Brian talks with Brian Platz (@bplatz, CEO/Co-Founder at @Flureee) about blockchain use-cases outside of cryptocurrencies, immutable data, graph databases, and building APIs on data.

    SHOW SPONSOR LINKS:

    • Datadog Homepage - Modern Monitoring and Analytics
    • Try Datadog yourself by starting a free, 14-day trial today. Listeners of this podcast will also receive a free Datadog T-shirt
    • Digital Ocean Homepage
    • Get Started Now and Get a free $50 Credit on Digital Ocean
    • [FREE] Try an IT Pro Challenge
    • Get 20% off VelocityConf passes using discount code CLOUD

    CLOUD NEWS OF THE WEEK:

    • Microsoft acquires JClarity
    • AWS forbids partners from mentioning multi-cloud
    • Does the VMware buying Pivotal announcement happen this week or during VMworld?

    SHOW INTERVIEW LINKS:

    • Fluree Homepage - Business Application Platform
    • Brian Platz on Hackernoon [podcast]

    SHOW NOTES:

    Topic 1 - Welcome to the show. Before we jump into Fluree and the breadth of technologies that power the stack, let’s talk about your background and what drove you to create Fluree.

    Topic 2 - Let’s start with the problems - why does the industry need a new data management stack? What types of use-cases or data-management problems does the Fluree stack address?

    Topic 3 - Let’s talk about the Fluree stack, because it brings together several technologies (e.g. Blockchain, GraphQL, etc.) that have gotten a lot of hype, but people aren’t always sure how they should be used.

    Topic 4 - When we step back and look at the Fluree stack, we see a focus around distributed architectures, immutability, graph data richness. Much of this sounds like it aligns to aspects of what is known as the Semantic Web. Are there connections there?

    Topic 5 - Let’s talk about your philosophy about API management and exposing data at the data-layer instead of the app-layer. What are the pros and cons of this sort of trade-off, and what are some of the things either data or app teams need to consider with this approach?

    FEEDBACK?

    • Email: show at thecloudcast dot net
    • Twitter: @thecloudcastnet and @ServerlessCast

    FEEDBACK?

    • Email: show @ the enterprise ai show dot com
    • Bluesky: @TheEntAIShow.bsky.social
    • Twitter/X: @TheEntAIShow
    • Instagram: @TheEntAIShow

    Etsy's Big Data Cloud Migration Aug 14, 2019
    Show notes

    SHOW: 410
    DESCRIPTION: Aaron and Brian talk with Kevin McHale (Senior Staff Engineer at Etsy) about the migration of their Big Data / Data Science platform from on-premises to Google Cloud, the business drivers for the migration, and the lessons the team has learned throughout the multi-year process.

    SHOW SPONSOR LINKS:

    • Digital Ocean Homepage
    • Get Started Now and Get a free $50 Credit on Digital Ocean
    • Datadog Homepage - Modern Monitoring and Analytics
    • Try Datadog yourself by starting a free, 14-day trial today. Listeners of this podcast will also receive a free Datadog T-shirt
    • [FREE] Try an IT Pro Challenge
    • Get 20% off VelocityConf passes using discount code CLOUD

    CLOUD NEWS OF THE WEEK:

    • GitHub Actions now includes CI/CD

    SHOW INTERVIEW LINKS:

    • Etsy Homepage
    • Etsy’s Engineering Blog (“Code as Craft”)
    • Migrating Etsy to Google Cloud

    SHOW NOTES:

    Topic 1 - Welcome to the show. Before we dive into your work at Etsy, tell us a little bit about your background prior to Etsy - you’re pretty good at math.

    Topic 2 - You’ve been working on two very interesting projects at Etsy - both building/evolving the data platform, and helping to manage the migration to Google Cloud Platform (GCP). Let’s start by talking about the Etsy data platform.

    Topic 3 - What have been some of the business drivers that are pushing the data platform to collect more information, to become more cloud-native, and to better enable data pipelines?

    Topic 4 - At some point in 2017-18, Etsy decided to migrate some of the platforms to Google Cloud. Tell us about that decision-process, and how the migration has been going. What have been some of the lessons learned?

    Topic 5 - How does working with Google Cloud (or just being in the public cloud) help accelerate the work that you’re doing on evolving the Etsy data platform?

    FEEDBACK?

    • Email: show at thecloudcast dot net
    • Twitter: @thecloudcastnet and @ServerlessCast

    FEEDBACK?

    • Email: show @ the enterprise ai show dot com
    • Bluesky: @TheEntAIShow.bsky.social
    • Twitter/X: @TheEntAIShow
    • Instagram: @TheEntAIShow

    New Challenges for IT Professionals Aug 07, 2019
    Show notes

    SHOW: 409
    DESCRIPTION: Corey Hynes, (@CoreyJHynes, CEO Learn on Demand Systems, @LoDSystems) talks about the need for hands-on ways to learn new skills, train IT professionals, and how innovative companies and individuals are adapting to the new culture of tech learning challenges.

    SHOW SPONSOR LINKS:

    • Datadog Homepage - Modern Monitoring and Analytics
    • Try Datadog yourself by starting a free, 14-day trial today. Listeners of this podcast will also receive a free Datadog T-shirt
    • Digital Ocean Homepage
    • Get Started Now and Get a free $50 Credit on Digital Ocean
    • Get 20% off VelocityConf passes using discount code CLOUD

    SHOW INTERVIEW LINKS:

    • Learn on Demand Systems Homepage
    • IT Pro Challenges
    • IT Pro Challenges – Case Study
    • Try Labs Free

    SHOW NOTES:

    Topic 1 - Welcome to the show. We’re obviously passionate about helping people learn with this podcast, but why don’t you tell us about your background and what makes you passionate about helping people learn at Learn on Demand Systems.

    Topic 2 - While we spent a lot of time covering the evolution of cloud technologies, the way that people learn today has evolved enormously as well. Help us understand the breadth of ways that Learn on Demand helps people learn - from Labs to Challenges to other forms?

    Topic 3 - One product that you recently started offering is called “IT Pro Challenges”. We’ve heard you say in other forums that you’re a big believer in hands-on learning. How does IT Pro Challenges help make sure that people get the actual skills they are learning?

    Topic 4 - A big part of learning is motivation - finding the time to learn, finding the motivation to try something new. What are some of the things that Learn on Demand Systems does to help motivate people to engage in the various types of learning systems you offer?

    Topic 5 - What is your message to people (individuals, managers, etc.) watching all these new technologies emerging and trying to figure out how to either pick the right learning/technology path for themselves, or generally putting a plan in place to improve themselves?

    FEEDBACK?

    • Email: show at thecloudcast dot net
    • Twitter: @thecloudcastnet

    FEEDBACK?

    • Email: show @ the enterprise ai show dot com
    • Bluesky: @TheEntAIShow.bsky.social
    • Twitter/X: @TheEntAIShow
    • Instagram: @TheEntAIShow

    The Rapidly Evolving Network Jul 31, 2019
    Show notes

    SHOW: 408
    DESCRIPTION: Brian talks with Devesh Garg (Co-Founder/CEO of @arrcusinc) about the growth of Arrcus, the evolution of the network (5G, IoT Edge, DC to Cloud, SDN), and the new economics of networking.

    SHOW SPONSOR LINKS:

    • Digital Ocean Homepage
    • Get Started Now and Get a free $50 Credit on Digital Ocean
    • Datadog Homepage - Modern Monitoring and Analytics
    • Try Datadog yourself by starting a free, 14-day trial today. Listeners of this podcast will also receive a free Datadog T-shirt
    • Get 20% off VelocityConf passes using discount code CLOUD

    CLOUD NEWS OF THE WEEK:

    • Amazon’s cloud business reports 37% sales growth ($8.5B/quarter) but misses analysts’ estimates
    • Azure growth slows to 64%, estimated at $16B in sales
    • Google Cloud earnings at $8B a year, plans to 3x the salesforce
    • T-Mobile and Sprint Merger finally get Justice Department blessing

    SHOW INTERVIEW LINKS:

    • Arrcus Homepage
    • Arrcus on The Cloudcast (Eps.356)
    • Devesh Garg on theCUBE (video)
    • Arrcus raises $30M in Series B funding

    SHOW NOTES:

    Topic 1 - Welcome back to the show. It’s been just about a year since we last spoke, you were just launching the company (amazing engineering experience and advisors). What has the last year of disrupting the networking industry been like? Tell us how the latest round of funding will help Arrcus grow.

    Topic 2 - Everything is connected now (way behind user-devices), everything is collecting and transmitting data, and we have no patience for the delay. Paint us a picture of how the network is evolving to deal with 5G, AI/ML at the edge, DC to Cloud interconnects, etc.

    Topic 3 - Arrcus has been focused on bringing better speeds and agility to networking. As more networking moves to SDN and SoC, how have companies been able to measure the gains that come from these new approaches to networking?

    Topic 4 - Arrcus recently announced multiple high-density 100GbE and 400GbE routing solutions for Hyper-scale Cloud, Edge, and 5G networks and ArcIQ, “AI-driven analytics platform that provides enhanced real-time visibility, control, and security”. Tell us about the new solutions and how this changes the model for network and cloud operations teams

    Topic 5 - What have you found to be the most critical areas of focus for the modern network operator, especially given the pace of innovation that offers them not only opportunity but also the challenges of keeping up with change?

    FEEDBACK?

    • Email: show at thecloudcast dot net
    • Twitter: @thecloudcastnet and @ServerlessCast

    FEEDBACK?

    • Email: show @ the enterprise ai show dot com
    • Bluesky: @TheEntAIShow.bsky.social
    • Twitter/X: @TheEntAIShow
    • Instagram: @TheEntAIShow

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