Enterprise IT has long been divided into silos. This is because of scarce resources and specialized knowledge required to perform some IT operations tasks. The world of today is much more focused on outcomes and the need for silos is waning. In this episode of the Tech Field Day Podcast, Stephen Foskett, Alastair Cooke, and Tom Hollingsworth discuss how enterprise IT has moved away from silos due to increased resource availability and cross training. They also look ahead to new challenges from advances like AI and quantum computing.
Company Acquisitions are a Necessary Evil in Enterprise Tech
The IT industry’s reliance on acquisitions is a necessary driver of innovation, though they often seem to get in the way of competition and progress. This episode of the Tech Field Day podcast, recorded during Cloud Field Day 21, features Ray Lucchesi, Jon Hildebrand, Ken Nalbone, and Stephen Foskett considering whether acquisitions in the IT industry are a necessary evil or a detriment to innovation. Acquisitions are often seen as a double-edged sword, with both positive and negative implications. On one hand, acquisitions can fuel innovation by providing smaller companies with the resources and market access they need to scale their ideas. On the other hand, they can stifle competition, lead to cultural clashes, and sometimes result in the disappearance of promising technologies or products.
There’s a Gulf Between Storage and AI
There is a significant gap between storage companies and their ability to effectively support AI infrastructure. In this episode of the Tech Field Day podcast, recorded during the AI Data Infrastructure Field Day 1 in Santa Clara, host Stephen Foskett and guests Kurtis Kemple, Brian Booden, and Rohan Puri explore the evolving relationship between storage and AI. The discussion highlights a significant gap between storage companies’ current capabilities and the demands of AI applications. While storage vendors are pivoting to support AI, many lack deep AI expertise, often focusing on cost and efficiency rather than offering integrated, AI-specific solutions. The panel emphasizes the need for storage companies to move beyond being mere data repositories and instead develop end-to-end solutions that address AI workflows, data preparation, and metadata management. They also stress the importance of education, partnerships, and hiring AI specialists to bridge the knowledge gap and drive innovation. The conversation underscores the early stage of this convergence, with a call for clearer strategies, open standards, and more cohesive integration between storage and AI to meet the growing demands of data-driven applications.
Snowflake Networks are Built to Break
Network engineers are notorious for doing whatever it takes to keep their customers and users happy. No reference architecture is safe from modification. However, these unique designs, commonly referred to as “snowflakes”, create challenges when unforeseen consequences occur. In this episode of the Tech Field Day podcast, Tom Hollingsworth is joined by Dakota Snow, Steve Puluka, and Bob McCouch as they discuss the challenges behind snowflake design and operations. They talk about the best way to build better systems and prevent the challenges caused by uniqueness.
WiFi isn’t Always the Best Solution
Wi-Fi is the most dominant client connectivity option on the market today. The growth of ubiquitous computing has only happened because of the mass deployment of Wi-Fi. However, Wi-Fi isn’t the only wireless solution and isn’t always the best way to connect devices. In this episode, Tom Hollingsworth is joined by Lee Badman, Troy Martin, and Ron Westfall as they discuss what other options exist and what workflows they can improve.
AI Doesn’t Make App Dev Any Better
Generative AI is transforming many industries where people create content. Software development is no different; AI agents are in almost every development platform. But is AI improving application development and software quality? This episode of the Tech Field Day Podcast looks at some of the issues revolving around AI and App Dev with Alastair Cooke, Guy Currier, Jack Poller, and Stephen Foskett. The ultimate objective of a software development team is to deliver an application that fulfills a business need and helps the organization be more successful. An AI that can recommend basic code snippets doesn’t move that needle far. More sophistication is needed to get value from AI in the development process. The objective should be to have AI handle the repetitive tasks and allow humans to focus on innovative tasks where generative AI is less capable. AI agents must handle building tests and reviewing code for security and correctness to enable developers to concentrate on building better applications that help organizations.
AI is the Enabler of Network Innovation
Artificial Intelligence is creating the kind of paradigm shifts not seen since the cloud revolution. Everyone is changing the way their IT infrastructure operates in order to make AI work better. In this episode of the Tech Field Day Podcast, Tom Hollingsworth is joined by John Freeman, Scott Robohn, and Ron Westfall as they discuss how AI is driving innovation in the networking market. They talk about how the toolsets are changing to incorporate AI features as well as how the need to push massive amounts of data into LLMs and generative AI constructs is creating opportunities for companies to show innovation. They also talk about how Ethernet is becoming ascendant in the AI market.
Edge Computing is a Melting Pot of Technology
Edge computing is one of the areas where we see startup vendors offering innovative solutions, enabling applications to operate where the business operates rather than where the IT team sit. This episode of the Tech Field Day podcast focuses on the melting pot of edge computing and features Guy Currier, John Osmon, Ivan McPhee, and host Alastair Cooke, all of whom attended the recent Edge Field Day in September. To accommodate the unique nature of the diverse and unusual locations where businesses operate, many different technologies are brought together to form the melting pot of edge computing. Containers and AI applications are coming from the massive public cloud data centres to a range of embedded computers on factory floors, industrial sites, and farm equipment. ARM CPUs, sensors, and low-power hardware accelerators are coming from mobile phones to power applications in new locations. Enterprise organizations must still control and manage data and applications across these locations and platforms. Security must be built into the edge from the beginning; edge computing often happens in an unsecured location and often with no human oversight. This melting pot of technology and innovation makes edge computing an innovative part of IT.
There are Too Many Clouds
Public Cloud computing is a large part of enterprise IT alongside on-premises computing. Many organizations that had a cloud-first approach and are now gaining value from on-premises private clouds and seeing their changing business needs leading to changing cloud use. This episode of the Tech Field Day podcast delves into the complexity of multiple cloud providers and features Maciej Lelusz, Jack Poller, Justin Warren, and host Alastair Cooke, all attendees at Cloud Field Day. The awareness of changing business needs is causing some re-thinking of how businesses use cloud platforms, possibly moving away from using cloud vendor specific services to bare VMs. VMs are far simpler to move from one cloud to another, or between public cloud and private cloud platforms. Over time, the market will speak and if there are too many cloud providers, we will see mergers, acquisitions or failures of smaller specialized cloud providers. In the meantime, choosing where to put which application for the best outcome can be a challenge for businesses.
You Don’t Need Post-Quantum Crypto Yet
With the advent of quantum computers, the likelihood that modern encryption is going to be invalidated is a possibility. New standards from NIST have arrived that have ushered in the post-quantum era. You don’t need to implement them yet but you need to be familiar with them. Tom Hollingsworth is joined by JJ MInella, Drew-Conry Murray, and Alastair Cooke in this episode to discuss why post-quantum algorithms are needed, why you should be readying your enterprise to use them, and how best to plan your implementation strategy.
Network Automation Is More Than Just Tooling
The modern enterprise network automation strategy is failing. This is due in part to a collection of tools masquerading as an automation solution. In this episode, Tom Hollingsworth is joined by Scott Robohn, Bruno Wollmann, and special guest Mike Bushong of Nokia to discuss the current state of automation in the data center. They discuss how tools are often improperly incorporated as well as why organizations shouldn’t rely on just a single person or team to affect change. They also explore ideas around Nokia Event-Driven Automation (EDA), a new operations platform dedicated to solving these issues.
AI and Cloud Demand a New Approach to Cyber Resilience featuring Commvault
As companies are exposed to more and more attackers, they’re realizing that cyber resilience is increasingly important. On this episode of the Tech Field Day Podcast, presented by Commvault, Senior Director of Product and Ecosystem Strategy Michael Stempf joins Justin Warren, Karen Lopez, and Stephen Foskett to discuss the growing challenges companies face in today’s cybersecurity landscape. As more organizations transition to a cloud-first operation, they’re recognizing the heightened exposure of their data protection strategies to global compliance mandates like DORA and SCI. Adding to this complexity is the emerging threat of AI, raising important questions about how businesses can adapt and maintain resilience in the face of these evolving risks.
Hardware Still Matters at the Edge
Hardware innovation at the edge is driven by diverse and challenging environments found outside traditional data centers. This episode of the Tech Field Day podcast features Jack Poller, Stephen Foskett, and Alastair Cooke considering the special requirements of hardware in edge computing prior to Edge Field Day this week. Edge locations, including energy, military, retail, and more, demand robust, tamper-resistant hardware that can endure harsh conditions like extreme temperatures and vibrations. This shift is fostering new hardware designs, drawing inspiration from industries like mobile technology, to support real-time data processing and AI applications. As edge computing grows, the interplay between durable hardware and adaptive software, including containerized platforms, will be crucial for maximizing efficiency and unlocking new capabilities in these dynamic environments.
AI Solves All Our Problems
Although AI can be quite useful, it seems that the promise of generative AI has lead to irrational exuberance on the topic. This episode of the Tech Field Day podcast, recorded ahead of AI Field Day, features Justin Warren, Alastair Cooke, Frederic van Haren, and Stephen Foskett considering the promises made about AI. Generative AI was so impressive that it escaped from the lab, being pushed into production before it was ready for use. We are still living with the repercussions of this decision on a daily basis, with AI assistants appearing everywhere. Many customers are already frustrated by these systems, leading to a rapid push-back against the universal use of LLM chatbots. One problem the widespread mis-use of AI has solved already is the search for a driver of computer hardware and software sales, though this already seems to be wearing off. But once we take stock of the huge variety of tools being created, it is likely that we will have many useful new technologies to apply.
Ethernet is not Ready to Replace InfiniBand Yet
AI networking is making huge strides toward standardization but Ethernet isn’t ready to displace the leading incumbent InfiniBand yet. In this episode of the Tech Field Day Podcast, Tom Hollingsworth is joined by Scott Robohn and Ray Lucchesi to discuss the state of Ethernet today and how it is continuing to improve. The guests discuss topics such as the dominance of InfiniBand, why basic Ethernet isn’t suited to latency-sensitive workloads, and how the future will improve the technology.
AI is Not a Fad
The current hype about building massive generative AI models with massive hardware investment is just one aspect of AI. This episode of the Tech Field Day podcast features Frederic Van Haren, Karen Lopez, Marian Newsome, and host Stephen Foskett taking a different perspective on the larger world of AI. Our last episode suggested that AI as it is currently being hyped is a fad, but the bigger world of AI is absolutely real. Large language models are maturing rapidly and even generative AI is getting better by the month, but we are rapidly seeing the reality of the use cases for this technology. All neural networks use patterns in historical data to infer results, so any AI engine could hallucinate. But traditional AI is much less susceptible to errors than the much-hyped generative AI models that are capturing the headlines today. AI is a tool that augments our knowledge and decision making, but it doesn’t replace human intelligence. There is a whole world of AI applications that are productive, responsible, and practical, and these are most certainly not a fad.
AI as We Know It is Just a Fad
Although AI is certain to transform society, not to mention computing, what we know if it is unlikely to last much longer. This episode of the Tech Field Day podcast brings together Glenn Dekhayser, Alastair Cooke, Allyson Klein, and Stephen Foskett to discuss the real and changing world of AI. Looking at AI infrastructure today, we see massive clusters of GPUs being deployed in the cloud and on-premises to train ever-larger language models, but how much business value do these clusters have long-term? It seems that the true transformation promised by LLM and GenAI will be realized once models are applied across industries with RAG or tuning rather than developing new models. Ultimately AI is a feature of a larger business process or application rather than being a product in itself. We can certainly see that AI-based applications will be transformative, but the vast investment required to build out AI infrastructure to date might never be recouped. Ultimately there is a future for AI, but not the way we have been doing it to date.
AI Has A Place In Networking Operations
Generative AI tools and features are becoming an indispensable part of the way operations teams do their jobs. Tom Hollingsworth is joined by Keith Parsons, Kerry Kulp, and Ron Westfall for this episode discussing the rise of AI tools and how they are implemented. The guests talk about how AI tools should be used by teams to increase their capabilities. They also discuss where AI still has a lot of room to grow and how to avoid traps that could cause issues for stakeholders and champions.
The Mainframe is Still Going Strong
Despite the hype about modern applications, the mainframe remains central to enterprise IT and is rapidly adopting new technologies. This episode of the Tech Field Day podcast features Steven Dickens, Geoffrey Decker, and Jon Hildebrand talking to Stephen Foskett about the modern mainframe prior to the SHARE conference. The modern datacenter is rapidly adopting technologies like containerization, orchestration, and artificial intelligence, and these are coming to the mainframe world as well. And the continued importance of mainframe applications, especially in finance and transportation, makes the mainframe more important than ever. There is a tremendous career opportunity in mainframes as well, with recent grads commanding high salaries and working with exciting modern technologies. Modern mainframes run Linux natively, support OpenShift and containers, and support all of the latest languages and programming models in addition to PL1, Cobol, DB2, and of course zOS. We’re looking forward to bringing the latest in the mainframe space from SHARE to our audience.
Network Engineering is a Dying Profession
Network Engineering isn’t the hottest profession on the block and people have expressed concerns that the profession is going to be subsumed into other disciplines in the near future. In this episode of the Tech Field Day podcast, Tom Hollingsworth joins Andy Lapteff and Remington Loose at the table to discuss the decline in network engineering roles. They also talk about changes in perceptions as well as the industry. They close out by discussing the future outlook for roles involving network engineering.
