| |
Your Intellyx Cortex for July 15, 2025: | |
Jason takes us to the future point of AI agents, plus new content for BMC, Cockroach DB, Nebius, SmartBear and Tines, plus a killer Rocket Software webinar, events & news. Share with your peers and friends, they can subscribe to Cortex/BrainCandy newsletters for free. | |
Cortex Features & Articles | | Intellyx in the News & Blogs Upcoming Events | | | |
Questions, comments, story ideas or interest in hearing more about the coverage you see in Intellyx Cortex? Please email us at pr@intellyx.com.
| |
| |
| |
by Jason Bloomberg, in Cortex Newsletter | |
| |
Software agents have been around for decades. AI in its various permutations has been around for even longer.
Add relative newcomer generative AI (genAI) to the mix, along with increasingly mature approaches to automation, software orchestration, and architecture, and we have all the ingredients we need to build fully mature agentic AI systems.
However, we still lack an understanding of what agentic AI will become when it is fully mature.
Given the potential risks of unbridled AI – Skynet, anyone? – this lack of understanding is dangerous, especially because the core technology is already in place.
All we require to reach this agentic AI end state is the will to do so. We had better understand what we’re getting ourselves in for.
Why People are Afraid of AI AgentsThere are several definitions of AI agents available today, but I find the one from Google Cloud to be accurate, comprehensive, and vendor-independent.
According to Google Cloud, AI agents are software systems that use AI to pursue goals and complete tasks on behalf of users. They show reasoning, planning, and memory and have a level of autonomy to make decisions, learn, and adapt. Furthermore, they can converse, reason, learn, and make decisions, and agents can work with other agents to coordinate and perform more complex workflows.
Yet, while AI agents have taken over the hype-o-verse, most agents available today don’t check all the boxes in the definition above. Many of them, for example, can’t learn or coordinate with other agents.
This lack is neither a failing of the definition above nor a mistake on the part of the respective agent providers. Rather, the question of just how much of the definition above applies to the particular agents you are looking at is a question of maturity. The problem is partly the fact that agentic AI is an emerging technology, and vendors are only now putting together their agentic offerings.
But the larger problem is that people are afraid of AI agents that check all the boxes in the definition above. Autonomous? Make decisions on their own? Adapt? Work with other agents to what purpose? Take over the world, perhaps?
If we had a maturity model for AI agents, say, then we could rank our requirements for the technology from the safer, easier to understand levels up to the most advanced and powerful (and perhaps dangerous) level of maturity.
The good news: there are plenty of agentic AI maturity models out there. The bad news: they generally fall apart at their highest levels of maturity.
What do we want from such models? And how do we get our heads around the concept of mature agentic AI, before it turns into Skynet and takes over the world? ... [Read Jason's whole Cortex on Intellyx.com.] | |
| |
| |
Gen Ai depends on data — the quality and quantity of data determines what it can do, and how well it can do it.
Training the large language models (LLMs) for chatbots such as ChatGPT, Claude, and Gemini on world wide web data means they can give you good responses to prompts based on that data.
Training LLMs on private data, such as incident response history data, observability and monitoring logs, and internal documentation on incident response procedures means you can get good responses to prompts about identifying, tracking, and resolving IT issues.
Tines Workbench trains its LLMs using internal data to improve productivity for incident response and similar internal workflows … [Read the BrainBlog here.] | |
| |
| |
I’ve been to several AI-focused conferences since I moved to Europe in 2023. Most of them suffer from trying too hard – driving the hype around AI beyond its current utility.
This week’s RAISE Summit in Paris was a refreshing exception. I spoke with several exhibitors at this packed conference, and the overall buzz centered on the maturation of the AI ecosystem.
Unlike other conferences, none of the vendors was bothering to convince attendees that AI was good for this or that purpose. Everybody now understands its value. Instead, the focus was on providing all the various enabling technologies necessary to achieve that value at scale. In other words, the AI ecosystem is maturing, with each innovative vendor contributing its efforts to enterprise AI strategies of all kinds ... [Read the event recap here.] | |
| |
| |
AI is transforming all corners of the healthcare and biotech industries, from the science of drug development to specialist practices in hospital settings.
AI both accelerates and expands scientific research, opening new areas of inquiry while accelerating the transition from pure research to products and technologies that improve people’s lives.
AI, however, is resource-intensive: it requires a substantial technology investment to support its massive data requirements and the processing necessary to drive results. The cloud is the key ... [Read the full article here.] | |
| |
| |
Can You Really Trust GenAI in Software Development?Generative AI is transforming how teams build and test software, but “trust” is an often under-prioritized ingredient. In this white paper, Intellyx founder and managing director Jason Bloomberg explores the critical question facing developers and testers alike: How do you trust GenAI when your job depends on software quality?
Download this paper to learn: - Why trust is essential when applying GenAI to code and test generation
- How prompt engineering and governance can make or break GenAI success
- What makes a software quality vendor truly trustworthy in an AI-driven world
- How SmartBear is addressing the GenAI trust challenge head-on
Whether you’re experimenting with AI or scaling its use across engineering and QA teams, this white paper offers practical insights and strategies to guide your journey ... [Download/read the whitepaper here.] | |
| |
| |
Discover how distributed SQL is evolving to power the next generation of AI applications — without sacrificing resilience, performance, or simplicity.
Approaching a fork in the road for critical data due to AI? Maybe it’s a merge. In the past, when a general-purpose relational SQL database wasn’t the right tool for the job, teams turned to specialized alternatives. If you needed to ingest and analyze logs for observability, you’d choose a time-series database. Building a catalog? You might opt for a NoSQL object store. And so on.
As cloud infrastructure (and hyperscale platforms) took off, these distinctions began to blur. New cloud databases based on Postgres-like architectures appeared on the horizon. Distributed SQL systems such as CockroachDB emerged to preserve transactional integrity while adding resilience and elastic scale beyond what a single-node Postgres could handle. They were performance-tuned for cloud native applications that need to run anywhere in the world.
Now AI-driven applications are adding a new level of complexity and urgency to the data landscape... [Read/download the whitepaper here.] | |
| |
| |
The decades-long history of the mainframe has centered on the value the platform can provide for mission-critical data and transaction processing tasks.
Today, the mainframe remains the most essential platform for mission-critical operations across the enterprise landscape, despite the ongoing evolution of cloud computing and the rest of the distributed systems world.
Nevertheless, the broader context of business and technology transformation drives change for the platform, as modernizing and optimizing the mainframe in place become critical priorities ... [Read the BrainBlog here.] | |
| |
| |
When I covered the Telemanagement Forum’s DTW24-Ignite conference last year, the story was about digital disruption.
Such disruption was still an important theme at this week’s TM Forum DTW Ignite conference in Copenhagen – but the epicenter of the disruption buzz this year was agentic artificial intelligence.
Because of its leadership with open application programming interface standards, data formats and architectures, TM Forum attracts vendors that offer technologies to help telco operators transform themselves. AI is a natural fit for such technology offerings.
However, AI agents – autonomous AI-driven applications that can learn over time – are still new on the market, consisting more of hype than reality ... [Read the event recap here.] | |
| |
Intellyx in the News & Blogosphere | |
| |
His prediction focuses on user experience evolution. “GenAI is becoming a must-have feature of every no-code platform, but it’s not subsuming them,” Jason Bloomberg of Intellyx said. “The end game is for no-code vendors to add a prompt-based metaphor to the list of other no-code metaphors already in use.” | |
| |
| |
“The original concept of zero trust centered on human identity, but in today’s cloud native environments, identity must also encompass ephemeral, non-human entities like microservices, containers, and workloads,” said Jason Bloomberg, managing partner of analyst firm Intellyx. “In such dynamic systems, traditional perimeter-based and IP-centric models break down. To address this problem, a Cloud Native Security Fabric embeds identity-aware controls into the infrastructure to implement zero trust across the entire cloud estate.” ... [Read the press release here.] | |
| |
| |
| |
Join Jason Bloomberg, Founder and Managing Director of Enterprise IT Industry analyst firm Intellyx as he discusses the challenges faced in maintaining real-time mainframe performance and the role CICS observability plays in supporting teams to optimize performance, analyze operations, and lower MTTR to minimize customer disruption.
Alongside Jason will be product and technology experts from Rocket Software providing real customer perspectives on challenges faced and solutions that work. Topics include:
• The need for real-time, high performance mainframe operations • Why observability is critical and what it delivers in a CICS environment • Identifying low performance and enabling rapid outage resolution • Modernizing the mainframe with minimal impact • Addressing the CICS skills shortage and enabling newer staff • Q&ARegister now to learn how to improve your understanding of your CICS environment, reduce manual effort and keep operational costs in check.
| |
| |
| |
The Crossroads of Code, Community, and Corporate Open SourceOpen Source Summit is the premier event for open source developers, technologists, and community leaders to collaborate, share information, solve problems, and gain knowledge, furthering open source innovation and ensuring a sustainable open source ecosystem. It is the gathering place for open-source code and community contributors. Jason Bloomberg will be attending in person and meeting with vendors. Email Jason to schedule a meeting. | |
| |
IBC2025 Location: RAI Amsterdam September 12-15, 2025
| | | |
Join global leaders for a three-day programme packed with inspiration, innovation, and insight. From transformative tech and shifting business models to the people shaping tomorrow’s media landscape, the IBC Conference delivers big ideas and bold thinking.
Gain exclusive access to keynotes, panels, and cutting-edge research. Network with industry decision-makers at curated events and connect in our dedicated Delegate Lounge. Whether you’re exploring AI, immersive content, or next-gen workflows, this is where the future unfolds.
Jason Bloomberg will be attending and meeting with vendors. Email him to set up a meeting. More information/Register here. | |
| |
| |
TechEx Europe unites five leading enterprise technology events — AI & Big Data, Cyber Security, Data Centres, Digital Transformation and IoT — into one powerful experience designed for organisations driving change.
From scaling infrastructure to unlocking new efficiencies, this is where decision-makers and their teams come to connect, explore real-world use cases, and discover the technologies that will shape their next phase of growth.
Jason Bloomberg will be attending and meeting with vendors. Please email him to set up a meeting at the conference. | |
| |
| |
Double Trouble from Intellyx! Eric Newcomer and Jason English ‘JE’ to attend and interact in person. Vendors who want to set up a briefing during or around the time of this event — tell us what you are up to, just contact pr@intellyx.com.
The Cloud Native Computing Foundation’s flagship conference brings together adopters and technologists from leading open source and cloud native communities in Atlanta, Georgia from November 10-13, 2025. Be a part of the conversation as CNCF Graduated, Incubating, and Sandbox Projects unite for four days of collaboration, learning, and innovation to drive the future of cloud native computing.
| |
| |
| |
Intellyx Cloud Native Poster Follow the pipes in our steampunk poster for one Intellyx view of Cloud-Native Computing Architecture, Infrastructure & Applications. | | | |
| |
| |
Intellyx is the first analyst and advisory firm focused on digital transformation for the enterprise. We help business executives and IT professionals connect the dots between disruptive new technologies and the challenges of implementing them with agility at scale to meet rapidly changing customer demands. | |
| |
| |
| |
©2025 Intellyx B.V. You are receiving this email because you have previously signed up for an Intellyx Brain Candy or Cortex newsletter. You can unsubscribe from this email or change your email notifications. | |
| |
Intellyx BV de Horsterkamp 10 7251AZ Vorden Netherlands | |
| |
