We’re delighted to welcome another special guest, Colin Evans from Juniper Networks. In the process of working out exactly what Juniper does, conversation soon turns to a variety of network-related themes, including automation and the mobile edge. Having done a general telecoms deep dive, they conclude with a look at Ericsson’s recant quarterly earnings release and what it might indicate about the broader industry.

Automation, edge and Ericsson

In episode 121 of Jamstack Radio, Brian speaks with Tony Holdstock-Brown of Inngest. This conversation explores infrastructure architecture, edge computing, the importance of developer experience, the rise of the developer cloud, and insights on optimizing the essential Time to Value metric.

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Jamstack Radio - Ep. #121, Reliable Serverless Functions with Tony Holdstock-Brown of Inngest

In episode 122 of Jamstack Radio, Brian catches up with Anthony Campolo of Edgio. In this conversation they recap Anthony's career journey and explore many technical topics including edge computing, the current state of the JavaScript ecosystem, insights on leveraging Jamstack for infrastructure ambitions, and combatting imposter syndrome in DevRel.

Jamstack Radio - Ep. #122, Living on the Edge with Anthony Campolo of Edgio

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In episode 123 of Jamstack Radio, Brian speaks with Glauber Costa of ChiselStrike. They discuss Glauber’s background in open source and unpack insights on reducing friction around databases, utilizing SQLite at the edge, and communicating with customers.

Jamstack Radio - Ep. #123, SQLite on the Edge with Glauber Costa of ChiselStrike

In episode 130 of Jamstack Radio, Brian speaks with Jamie Barton of Grafbase about backend as a service (BaaS). Together they share insights on elevating the local development experience and integrating projects with edge databases. They also explore solutions for authentication, edge caching, and getting started in development.

Jamstack Radio - Ep. #130, Faster GraphQL APIs with Jamie Barton of Grafbase

In this Tech Barometer podcast segment, Nutanix President and CEO Rajiv Ramaswami discusses the challenges driving more IT leaders to develop hybrid multicloud strategies for managing across private data centers, public cloud services, edge computing sites while enabling new application development and AI capabilities.

Find more enterprise cloud news, features stories and profiles at The Forecast:
http://www.theforecastbynutanix.com/

Transcript:
https://media23.connectedsocialmedia.com/nutanix/12/20596/Nutanix_CEO_Talks_Hybrid_Multicloud_Capabilities.pdf

Hybrid Multicloud

Nutanix CEO Talks Hybrid Multicloud Capabilities

The realm of edge computing has evolved from a futuristic concept to a fundamental force driving business innovation. 

This technological evolution isn't just a fleeting trend; it's reshaping how we interact with data in profound ways.

Leveraging Edge Computing In 2024- Elevate Your Business With Custom Software Solutions

Fresh off the studio, Jay Jenkins, CTO of Cloud Computing in Akamai, dives deep into the transformative potential of edge AI in a dynamic conversation on Akamai's latest technological advancements. Discussing the company's strategic edge computing platform, Gecko, Jenkins describes how it is redefining cloud computing paradigms by embedding capabilities directly into the edge network. He explores the broader implications of edge AI for real-time applications and generative AI technologies, highlighting Akamai's vision to support the burgeoning demands of data processing and AI inferencing at the network edge. With insights into early trials and future use cases, he shares how Akamai is set to revolutionize industries, from immersive retail to spatial computing and explores what great would look like for Akamai in cloud computing and AI at the edge.

"So already this year we've rolled out 10 of these regions. So two in APJ and Kuala Lumpur and Hong Kong. But 75 of these locations by the end of the year along with our core computing regions will give us 100 locations where customers can run these workloads, and we're not going to stop there. So we're going to have hundreds of these regions over the next few years, and we're going to focus on those locations where hyper-scalers don't have compute. Africa and South America, for example, have been extremely underserved when it comes to computing capabilities. There's a huge potential for those countries if we could get them the compute. And that's exactly what we intend to do. But, those are extreme regions. Even in places like the U.S., which are well served by the hyper-scalers, there's certainly the middle of the U.S. which is ignored. In Southeast Asia, if you're in Singapore or Jakarta, you're served by everybody. But if you're in Vietnam, how are you served? If you're in Thailand, how are you served? The internet is inherently unfair. We want to make it more fair for our customers and our customers' customers." - Jay Jenkins

Audio Episode Highlights:
[0:40] Quote of the Day #QOTD by Jay Jenkins.
[1:45] Introduction: Jay Jenkins, CTO of Cloud Computing from Akamai.
[4:29] Lessons learnt from Jay’s career journey.
[6:31] Total Market Opportunity for AI at the Edge and Akamai’s value proposition.
[8:55] Introduction to Akamai and its global footprint.
[11:18] Jay’s role as global CTO in Cloud Computing and future vision.
[16:23] Generalized Edge Compute aka Gecko and why it differs from the hyper-scalers such as AWS.
[19:53] How Gecko enhances the user experience in terms of performance and latency.
[22:59] Challenges to integrate cloud native computing at a massive edge network.
[25:38] Lessons learned from Gecko’s early trials with enterprise customers of Akamai.
[28:01] Applications of Gecko beyond immersive retail.
[30:33] The One Thing that Jay knows about Gecko in generalized edge computing that very few do.
[33:07] Generative AI with Akamai Gecko’s platform.
[37:30] Inference at the edge with Large Language Models (LLMs).
[39:41] Role of Edge Computing for real-time AI processes.
[41:47] What does great look like for Akamai in the cloud computing space.
[43:53] Closing.

Podcast Information: Bernard Leong hosts and produces the show. Proper credits for the intro and end music: "Energetic Sports Drive" and the episode is mixed & edited in both video and audio format by G. Thomas Craig

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Akamai Cloud Computing & The Age of Edge AI with Jay Jenkins

Edge computing is a distributed computing framework that allows IoT devices to process and respond to data rapidly at the edge of the network. It can help optimize network performance by measuring the performance of users across the internet and employing analytics for each user's traffic.

Edge Computing

In this Tech Barometer podcast segment, McDowell shares insights from his report Taming the AI-enabled Edge with HCI-based Cloud Architectures and explores the impact of extending IT resources to the edge and the driving force of AI.

Find more enterprise cloud news, features stories and profiles at The Forecast:
http://www.theforecastbynutanix.com/

Transcript:
https://media24.connectedsocialmedia.com/nutanix/09/20801/Living_Workflow_AI_Edge.pdf

See also:
Slew of Changes Drive VMware Customers to Consider Alternatives
https://www.nutanix.com/theforecastbynutanix/news/vmware-changes-drive-interest-in-alternatives

Pivot Past the Enterprise AI and Cloud Native Hype
https://www.nutanix.com/theforecastbynutanix/news/moving-beyond-hype-around-enterprise-ai-and-cloud-native

More Reasons for HCI at the Edge
https://www.nutanix.com/theforecastbynutanix/technology/edge-computing-with-public-and-private-cloud-data-centers

The Future of AI Computing Resides at the Edge
https://www.nutanix.com/theforecastbynutanix/business/the-future-of-computing-explained

Artificial Intelligence

Living Workflow of AI at the Edge

In this podcast, Namee Oberst, co-founder of AI Bloks, the company behind AI framework LLMWare, discusses the recent trend in Generative AI and Language Model technologies, the Small Language Models (SLMs) and how these smaller models are empowering the edge computing on devices and enabling AI-powered PC's.

Read a transcript of this interview: https://bit.ly/3O9LZOZ

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InfoQ Podcast

Transcript

Namee Oberst on Small Language Models and How They are Enabling AI-Powered PCs

Discover how Edge Computing is reshaping industries in this episode of TechToBard Talks. From <a href="https://techtobard.com/edge-computing-in-autonomous-vehicles/">Edge Computing in autonomous vehicles</a> making split-second decisions to industrial automation revolutionizing production, we explore real-world applications of edge technology. Learn about the security challenges in edge computing and how businesses are tackling them. We also dive into the powerful synergy of IoT, 5G integration, and edge computing, unlocking new possibilities, including advancements in cryptocurrency investment.

TechToBard

Welcome to another exciting episode of "AI with Shaily!" 🎉 Your tech-savvy friend, Shailendra Kumar, is here to guide you through the fascinating world of artificial intelligence. Today, we’re exploring Small Language Models (SLMs) like Qwen and Pythia, and how they are transforming edge computing and the Internet of Things (IoT). 🌐

Imagine stepping into your smart home, where IoT devices respond instantly to your commands. This seamless interaction is becoming a reality, thanks to edge computing powered by SLMs. These models, such as Qwen and Pythia, are the quiet champions behind this efficiency, processing data right where it’s generated. This means AI can feel more personal and intuitive, making our lives easier and more connected! 🤖✨

Now, let’s talk about sustainability. Smaller language models are like the eco-friendly light bulbs of the AI world. They shine a light on sustainability by having a significantly lower carbon footprint. Smaller, smarter, and gentler on the environment—how can we not celebrate that? 🌍💚

Democratization is another key topic we can’t overlook. In the past, only large corporations could afford to harness the power of AI. But SLMs are changing that narrative. Their efficiency and affordability open the doors for startups and small businesses to join the AI revolution. It’s akin to giving everyone a golden ticket to a magical factory, but instead of chocolate, it’s all about AI knowledge and tools! 🍫🎟️

Here’s a handy Bonus Tip: If you’re considering integrating AI into your business, start small and local. By deploying SLMs, you can test and tailor AI solutions without needing an expensive supercomputer setup. This approach allows for innovation while keeping costs manageable—smart thinking! 💡💰

So, are SLMs the secret ingredient to making AI as common as pizza toppings? 🍕 Will they continue to enhance access and sustainability in ways we’ve never seen before? That’s a thought worth pondering!

As I wrap up this episode, I’d like to leave you with an inspiring quote: "The best way to predict the future is to invent it." With SLMs, we are indeed crafting a future where AI is accessible, environmentally friendly, and groundbreaking. 🚀

Don’t forget to connect with me on YouTube, Twitter, LinkedIn, and Medium for more in-depth discussions on AI. Subscribe for more insights, and feel free to share your thoughts in the comments. Your ideas might just inspire our next engaging conversation! 💬

Until next time, keep questioning, keep innovating, and as always, stay curious! 🌟

AI Unplugged: How Small Language Models are Revolutionizing Edge Computing and Sustainability

Welcome to *AI with Shaily*! 🎙️ Hosted by Shailendra Kumar, also known as Shaily, this engaging podcast dives deep into the latest advancements in artificial intelligence. In this episode, Shaily explores the transformative rise of edge computing in data science, projected to make a major impact by 2026. 🚀

Shaily begins by reminiscing about the early days of AI, when data had to be sent to distant cloud servers, causing frustrating delays and making real-time responses seem like a distant dream. Fast forward to today, and there's a groundbreaking shift: AI workloads are moving from centralized cloud systems to the "edge" — meaning the very devices where data originates. These devices, often equipped with powerful AI chips like NVIDIA Jetson, enable lightning-fast decision-making, reduce bandwidth costs, and open up new innovation possibilities across industries such as smart manufacturing and retail. ⚡📱🏭

But the edge isn't just about small devices. Edge data centers and micro data centers are now appearing everywhere — from hospitals to retail outlets to smart cities — acting like mini supercomputers right in local neighborhoods. When combined with hybrid and distributed architectures that blend cloud, edge, and on-premises resources, IT professionals are orchestrating a complex yet dynamic system that optimizes workflows efficiently. 🏥🏬🏙️💻

One of the most exciting benefits Shaily highlights is the power of real-time analytics enabled by edge computing. Industries like healthcare and autonomous vehicles gain immediate insights from IoT sensors, allowing for split-second, potentially lifesaving decisions. Plus, edge AI supports sustainable innovations such as smarter irrigation in agriculture, which conserves water and boosts crop yields through localized, energy-efficient AI models. 🌱🚗💧

For data scientists like Shaily — and listeners who are data enthusiasts — this shift is a game-changer. Instead of transferring massive raw datasets over networks, data processing happens closer to the source, speeding up analysis, reducing resource consumption, and enhancing responsiveness. Edge computing isn’t just a technical upgrade; it’s reshaping how data science is practiced by combining agility with efficiency. 📊⚙️

Shaily poses an important question for reflection: As data becomes king, how do we balance the incredible power of edge computing with the privacy and security challenges that come with decentralizing so much information? This is an ongoing conversation that’s crucial to follow. 🔐🤔

Before signing off, Shaily offers a bonus tip for AI practitioners: start exploring TinyML frameworks and edge-compatible hardware early. Hands-on experience with edge AI tools will prepare you for the widespread hybrid architectures that will dominate the near future. 🛠️🤖

Quoting Alan Turing, Shaily reminds us, “We can only see a short distance ahead, but we can see plenty there that needs to be done.” Edge computing opens a wide vista for data science innovation. 🌟

You can find Shailendra Kumar on YouTube, Twitter, LinkedIn, and Medium by searching *AI with Shaily*. Don’t forget to subscribe for the latest AI news, share your thoughts, and join the conversation about the exciting and sometimes challenging trends in edge computing. Until next time, stay curious and inspired! ✨👨‍💻📡

Edge Computing Revolution: How AI at the Edge is Transforming Data Science by 2026

A weekly podcast dissecting the pulse of business, technology & media in Asia. Hear our host interviewing leading journalists, senior executives, respectable authors & thinkers, entrepreneurs & thought leaders to discuss the most important issues that move and shake the business landscape in the Asia Pacific. The show is originally created and hosted by Bernard Leong.

Heavybit is the leading early-stage investor in enterprise infrastructure. Since 2013, we've helped launch and scale visionary technical startups—from DevSecOps and feature flagging to AI code generation and beyond. We go hands-on from day 0, backing founders as they turn code into companies and build the future of software from the bottom up to the top down.

Feather Softwares was established in 2017 with the main goal of offering businesses a way to stand out in the online marketplace. Our creativity and technical expertise help our clients find digital strategies that suit their business needs and improve growth. Since then, we’ve become a leading name in technical and marketing services due to our innovative ideas and improved conversion rates and sales. We started in Nagercoil and now have a branch in Chennai. However, we plan to expand to even more locations. We are a fast-moving, high-growth business with a huge client base. Feather Softwares has been serving diverse clients from 2017 and we have successfully completed numerous projects across the globe.
https://feathersoftwares.com/

Unlock the secrets of data mastery with Shailendra, a 27-year veteran in AI, ML, and Data Science, driving AU$ 6 Billion in transformative value. As the author of 'Making Money out of Data,' their strategies redefine digital success. With expertise honed at IBM and Accenture, they drive innovation and data monetization. Explore how loyalty programs like Flybuys and Everyday Rewards revolutionize business—connect with Shaily today.

Hello, I am Muzammil Ali, a professional programmer who is helping clients in gaming and business all across the globe.

Software engineers, architects and team leads have found inspiration to drive change and innovation in their team by listening to the weekly InfoQ Podcast. They have received essential information that helped them validate their software development map. We have achieved that by interviewing some of the top CTOs, engineers and technology directors from companies like Uber, Netflix and more. Over 1,200,000 downloads in the last 3 years.

Once a week we get together in a studio somewhere in London to take the piss out of telecoms and technology for an hour or so.

Explore the cutting edge of enterprise cloud computing. Tech Barometer is the Podcast affiliate of The Forecast by Nutanix, which covers people and tech trends driving digital transformation. Business Ieaders, engineers and industry experts share insights and anecdotes about the quest to modernize IT.

New tracks tagged #Edge computing