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- Fintan Perrins is 24 today and comes into my home office explaining a new deal he is working on 🙂 he is focused , mean while I am dealing with a…
Fintan Perrins is 24 today and comes into my home office explaining a new deal he is working on 🙂 he is focused , mean while I am dealing with a…
Liked byChris Bailey
- Excited to co-deliver another Agentic AI bootcamp with IBM watsonx Orchestrate, as part of the Premier Edition IBM TechXchange with my friend George…
Excited to co-deliver another Agentic AI bootcamp with IBM watsonx Orchestrate, as part of the Premier Edition IBM TechXchange with my friend George…
Liked byChris Bailey
- Join me at TechXchange in Orlando next week, where I'll be talking about all things AIOps, Unified Operations, Observability and Operations…
Join me at TechXchange in Orlando next week, where I'll be talking about all things AIOps, Unified Operations, Observability and Operations…
Shared byChris Bailey
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The Support Authority: Deploying IBM Support Assistant 5 Beta into an IBM cloud environment
IBM developerWorks
See publicationThe IBM® Support Assistant (ISA) is a free application that provides features for problem determination and a platform for obtaining diagnostic tools. The most recent release of ISA, version 5.0, which is currently in beta, brings these capabilities into a server environment enabling team-based collaboration on analysis and the deployment of server-level system resources to carry out analysis. This article covers some of the advantages of deploying ISA 5 into a server environment, and how to do…
The IBM® Support Assistant (ISA) is a free application that provides features for problem determination and a platform for obtaining diagnostic tools. The most recent release of ISA, version 5.0, which is currently in beta, brings these capabilities into a server environment enabling team-based collaboration on analysis and the deployment of server-level system resources to carry out analysis. This article covers some of the advantages of deploying ISA 5 into a server environment, and how to do this with the various IBM cloud offerings environment using the IBM Application Pattern for Java™. This content is part of the IBM WebSphere Developer Technical Journal.
From Java code to Java heap: Understanding and optimizing your application's memory usage
IBM developerWorks
See publicationThis article gives you insight into the memory usage of Java™ code, covering the memory overhead of putting an int value into an Integer object, the cost of object delegation, and the memory efficiency of the different collection types. You'll learn how to determine where inefficiencies occur in your application and how to choose the right collections to improve your code.
Garbage collection in WebSphere Application Server V8, Part 1: Generational as the new default policy
IBM developerWorks
Not all workloads are created equal. Different applications use memory in different ways and thus can benefit from different garbage collection strategies. The IBM® Java™ Virtual Machine (JVM) has always supported several different GC policies to support various types of applications. At the same time, hardware is evolving and software must adapt to make better use of it. In IBM WebSphere® Application Server V8 the default garbage collection policy uses both generational and concurrent…
Not all workloads are created equal. Different applications use memory in different ways and thus can benefit from different garbage collection strategies. The IBM® Java™ Virtual Machine (JVM) has always supported several different GC policies to support various types of applications. At the same time, hardware is evolving and software must adapt to make better use of it. In IBM WebSphere® Application Server V8 the default garbage collection policy uses both generational and concurrent collection strategies. This article provides a brief description of the garbage collection policies available in the IBM JVM, along with a guide for configuring the new default policy. This content is part of the IBM WebSphere Developer Technical Journal.
Other authorsSee publicationThe Support Authority: Why the Memory Analyzer (with IBM Extensions) isn't just for memory leaks anymore
IBM developerWorks
See publicationThe IBM® Monitoring and Diagnostics for Java⢠- Memory Analyzer is a powerful tool for diagnosing memory leaks and footprint problems from the dump of a Java process such as IBM WebSphere® Application Server. It can also give you detailed insight into your Java code and enable you to debug some tricky problems from just one dump, without having to insert diagnostic code or restart the process. This article shows you how to use Memory Analyzer combined with the new IBM Extensions for Memory…
The IBM® Monitoring and Diagnostics for Java⢠- Memory Analyzer is a powerful tool for diagnosing memory leaks and footprint problems from the dump of a Java process such as IBM WebSphere® Application Server. It can also give you detailed insight into your Java code and enable you to debug some tricky problems from just one dump, without having to insert diagnostic code or restart the process. This article shows you how to use Memory Analyzer combined with the new IBM Extensions for Memory Analyzer plug-in to examine the states of both WebSphere Application Server and your application. This content is part of the IBM WebSphere Developer Technical Journal.
Debugging from dumps: Diagnose more than memory leaks with Memory Analyzer
IBM developerWorks
Memory Analyzer is a powerful tool for diagnosing memory leaks and footprint problems from the dump of a Java⢠process. It can also give you detailed insight into your Java code and enable you to debug some tricky problems from just one dump, without needing to insert diagnostic code. In this article, you'll learn how to generate dumps and use them to examine the state of your application.
Other authorsJava technology, IBM style: A new era in Java technology
IBM developerWorks
See publicationThe eagerly awaited final release of Java⢠SE 7 is expected to include enhancements to all the major aspects of the language and the virtual machine. Both Oracle and IBM have released Early Access downloads of their respective implementations for review and feedback. In this article, Chris Bailey, architect of the Java service strategy at the IBM Java Technology Center, introduces some of the changes in store, from both the Oracle specification and the value-add that IBM provides.
Guided Debugging for IBM Java
IBM Online
See publicationStep-by-step quidance on the methods and techniques used to identify and responding to memory, performance, hang and crash problems when running IBMs Runtimes for Java.
Java technology, IBM Style: Monitoring and problem determination
IBM developerWorks
The IBM implementation of Java™ technology, Version 5.0 contains a number of useful tools that help you diagnose and solve Java development problems. In this final installment in our Java technology, IBM style series, you learn about the information available from the IBM trace and dump engines. You also get an introduction to the Diagnostic Toolkit and Framework for Java (DTFJ) API, with which you can write code that queries and analyzes diagnostic data.
Other authorsSee publicationJava technology, IBM style: Introduction to the IBM Developer Kit
IBM developerWorks
See publicationWith the advent of Java™ 5.0 comes advances from IBM® in its Java technology implementations. This article opens a six-part series on changes in the latest version of the IBM Developer Kit. Author Chris Bailey begins with a brief description of the improvements to the Java 5.0 platform and moves on to a whistle-stop tour of the changes in SDKs from IBM.
IBM Java Diagnostics Guide
IBM Online
Patents
Request Tracing
IssuedUS11785115B2
See patentEmbodiments of the present invention provide concepts for tracing a request in a distributed system architecture comprising one or more distributed services. A request is received at a network traffic component on one of a plurality of sockets, which are monitored by a span correlation component. Span data is obtained from the received request and a process identification component is adapted to identify a process associated with the request based on the span data. The span correlation…
Embodiments of the present invention provide concepts for tracing a request in a distributed system architecture comprising one or more distributed services. A request is received at a network traffic component on one of a plurality of sockets, which are monitored by a span correlation component. Span data is obtained from the received request and a process identification component is adapted to identify a process associated with the request based on the span data. The span correlation component is adapted to identify a socket connection made by the identified process and correlate the socket connection with the span data, thereby generating span correlation data.
Predicting microservices required for incoming requests
IssuedUS11683391B2
A method, system, and computer program product for predicting microservices required for incoming requests for reducing the start latency of serverless microservices. The method may include obtaining tracing data of microservices of an application for historical requests processed by the application. The method may also include grouping the tracing data based on common request attributes. The method may also include aggregating each group into rules relating the common request attributes to…
A method, system, and computer program product for predicting microservices required for incoming requests for reducing the start latency of serverless microservices. The method may include obtaining tracing data of microservices of an application for historical requests processed by the application. The method may also include grouping the tracing data based on common request attributes. The method may also include aggregating each group into rules relating the common request attributes to lists of microservices. The method may also include building a predictive model formed of the rules for processing incoming requests to obtain a list of predicted microservices required for the incoming request based on attributes of the incoming request.
Other inventorsSee patentDynamically Switchable Transmission Data Formats in a Computer System
IssuedUS US20200099764A1
A method, apparatus, system, and computer program product for dynamically selecting transmission data formats for communicating data. A request for a server application sent from a client application is received by receiving, by a computer system. The request includes first data in a first transmission data format and identifies a set of transmission data formats acceptable to the client application. A determination is made by the computer system as whether the first transmission data format is…
A method, apparatus, system, and computer program product for dynamically selecting transmission data formats for communicating data. A request for a server application sent from a client application is received by receiving, by a computer system. The request includes first data in a first transmission data format and identifies a set of transmission data formats acceptable to the client application. A determination is made by the computer system as whether the first transmission data format is supported. A response from the server application with second data in a selected transmission data format in the set of transmission data formats by the computer system in response to the first transmission data format being supported.
Other inventorsSee patentAutomatically building a web api definition from a microservice or web application
IssuedUS US20190354414A1
Methods and systems may provide for technology to determine dynamic path information and encoded type information associated with an application programming interface (API) and automatically generate a language-independent API definition based on the dynamic path information. In one example, the language-independent API definition is generated without reliance on source code annotations.
Other inventorsSee patentMaintaining core dump privacy during application fault handling
IssuedUS20200065181A1
Maintaining core dump privacy during application fault handling. A core memory dump is received for an application from a runtime engine. Areas of the core memory dump are analyzed to identify structural data in the form of internal structures of the runtime engine. The identified structural data is retained in a modified core memory dump, and remaining non-structural data in the areas of the core memory dump is processed to ensure it is not readable by unauthorized entities in the modified…
Maintaining core dump privacy during application fault handling. A core memory dump is received for an application from a runtime engine. Areas of the core memory dump are analyzed to identify structural data in the form of internal structures of the runtime engine. The identified structural data is retained in a modified core memory dump, and remaining non-structural data in the areas of the core memory dump is processed to ensure it is not readable by unauthorized entities in the modified core memory dump. The modified core memory dump is outputted for fault analysis.
Other inventorsSee patentHandling request data with type safety in a remote service
IssuedUS US20200034272A1
Method and system are provided for handling request data with type safety in a remote service. The method includes providing a data structure, the data structure comprising a set of entries, each entry matching an incoming request type with a function for handling the request, the function defining a set of parameters. The method includes receiving an incoming request for a service from a remote client, wherein the request includes request data. The method includes using the data structure and…
Method and system are provided for handling request data with type safety in a remote service. The method includes providing a data structure, the data structure comprising a set of entries, each entry matching an incoming request type with a function for handling the request, the function defining a set of parameters. The method includes receiving an incoming request for a service from a remote client, wherein the request includes request data. The method includes using the data structure and identifying an entry for the incoming request by matching the request data to an incoming request type of an entry. The method includes converting the incoming request into a set of parameters using a software construct of the matching function identified in the entry, wherein the software construct comprises the matching function and associated in-scope local variables; and running the function using the converted parameters.
Other inventorsSee patentDirect transmission of data between applications in a multi-tenant environment
IssuedUS US10341287B2
See patentOverhead of sending data from one application to another by doing input and output processing can be costly. The present invention provides a method of transmitting data with a low overhead between applications in a multi-tenant runtime environment. The multi-tenant runtime detects a connection between tenants, and then performs low-overhead data transmission mechanisms by cloning data from one tenant space to another tenant space, while keeping the data isolated for two tenants.
Virtual machine load balancing
IssuedUS US9547520B1
The method includes estimating an amount of unused memory in a memory allocation of one or more virtual machines based on a data associated with one or more applications previously dispatched to the one or more virtual machines. The method includes receiving a request for executing a new application. The method includes estimating an amount of memory utilized by one of the one or more virtual machines to execute the new application. The method includes dispatching the new application to one of…
The method includes estimating an amount of unused memory in a memory allocation of one or more virtual machines based on a data associated with one or more applications previously dispatched to the one or more virtual machines. The method includes receiving a request for executing a new application. The method includes estimating an amount of memory utilized by one of the one or more virtual machines to execute the new application. The method includes dispatching the new application to one of the one or more virtual machine having an amount of unused memory exceeding the estimated amount of memory required to execute the new application. The method includes updating the data associated with the one or more applications previously dispatched to the one or more virtual machines by adding an identifier of the new application to the data.
Other inventorsManaging thread execution in a multitasking computing environment
FiledUS US10169078B2
A thread in a computing system is processed for execution of instructions to perform an action. The action is one of the following: accessing a shared resource or executing a critical section of code. A schedule of the thread is managed. The management prevents suspension of the thread during execution of the action.
Other inventorsSee patentCreating a metatype tree for metatype introspection
FiledUS20210097090A1
Concepts for creating a metatype tree for metatype introspection are presented. One example comprises decoding a parent metatype from a synthetic dataset by decoding one or more child metatypes of the parent metatype. The method then comprises creating a metatype tree comprising a parent node and one or more child nodes of the parent node. The parent node comprises the decoded parent metatype and the one or more child nodes of the parent node comprise the one or more decoded child metatypes.
Other inventorsSee patentMiddleware in web framework
FiledUS20200285530A1
Concepts for middleware in a web framework are presented. One example comprises defining a target object type configured to hold results of a middleware function. A first object for an application is received and a process of the middleware function is performed, using the first object, to generate a process result. Based on the process result, a second object of the target object type is generated, after which the second object is provided to the application.
Other inventorsSee patentDetecting memory leaks in dynamic data collections
FiledGB GB915513D0
METHOD FOR GENERATING A UML OBJECT DIAGRAM OF AN OBJECT-ORIENTED APPLICATION
FiledUS US20100131918A1
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More activity by Chris
- Another week, another IBM Client Innovation Center, this time at One Madison Avenue in New York. We had insightful discussions with both new and…
Another week, another IBM Client Innovation Center, this time at One Madison Avenue in New York. We had insightful discussions with both new and…
Shared byChris Bailey
- Exciting day visiting the IBM Madrid Client Innovation Center! Spent time with one of IBM's largest clients discussing the Modernization of IT…
Exciting day visiting the IBM Madrid Client Innovation Center! Spent time with one of IBM's largest clients discussing the Modernization of IT…
Shared byChris Bailey
- IBM Instana has been recognized as a Leader in the 2025 Gartner® Magic Quadrant™ for Observability Platforms with big moves in Completeness of Vision…
IBM Instana has been recognized as a Leader in the 2025 Gartner® Magic Quadrant™ for Observability Platforms with big moves in Completeness of Vision…
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- Our CEO and Founder Warren Russell was delighted to be able to speak at the first Technology in Gaming event hosted by Pretty Technical. Covering the…
Our CEO and Founder Warren Russell was delighted to be able to speak at the first Technology in Gaming event hosted by Pretty Technical. Covering the…
Liked byChris Bailey
- Really enjoyed taking part in the Automation panel alongside Warren Russell at the inaugural Technology in Gaming event, hosted by Pretty Technical…
Really enjoyed taking part in the Automation panel alongside Warren Russell at the inaugural Technology in Gaming event, hosted by Pretty Technical…
Shared byChris Bailey
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Tessell
14K followers
🛠️ Patching doesn’t have to be risky, time-consuming, or disruptive. Packaged applications like Oracle E-Business Suite run on tightly integrated stacks of frameworks, OS, and databases. A single unvalidated patch can trigger downtime, break critical processes, or create compliance risks.Tessell’s application-aware DBaaS takes the risk out of the equation:🔄 Automates patching and upgrades using vendor best practices✔️ Tests security patches alongside the application to ensure stability🔰 Keeps systems secure, stable, and compliant💡 Frees IT teams to focus on innovation instead of maintenanceNo guesswork. No disruption. Here’s how Tessell redefines patching:👇 #OracleEBS #DatabaseManagement #Tessell #DBaaS #SecurityPatching
Mark Yeeles
Schneider Electric • 6K followers
What a difference a day makes…Overnight, we’ve seen landmark announcements that will accelerate the UK’s AI leadership at pace. 🟢 Nscale is investing heavily in UK AI infrastructure with a range of leading US technology companies, including Microsoft, NVIDIA and OpenAI 🟢 CoreWeave is committing £1.5 billion to power UK AI growth and innovation in partnership with NVIDIA and DataVita 🟢 A new UK-US pact on AI and life sciences is set to create tens of thousands of jobsTogether, these announcements reinforce the UK’s position as a global hub for AI and digital innovation.All of this news coincided with our Partnering for AI event which took place this week (more to follow), where the ecosystem was brought together to discuss how, together, we can grow the UK AI market.At Schneider Electric, we’re delighted to see this progress – and welcome the Government’s focus on AI Growth Zones, particularly across the North East and Greater Manchester, with Careers at the Department for Science, Innovation and Technology (DSIT) continuing to play a central role.This moment represents an opportunity to deliver AI at scale while ensuring sustainability, energy resilience, and efficiency remain front and centre. By bending the energy curve of AI, we can ensure this wave of innovation brings long-term benefits for business, communities, and the planet.#AI #Tech #DataCentres
12 CommentsCGI
2M followers
Today we announce the completion of our acquisition of BJSS, a leading UK-based technology and engineering consultancy. This strategic move expands our consulting-led services and innovation in cloud, AI, data analytics and software engineering. Tara McGeehan, President of CGI in the UK and Australia, stated: “With the integration of BJSS’s deep technical expertise and strong market presence, CGI continues to strengthen its ability to help clients navigate complex digital transformations, accelerate innovation and achieve measurable outcomes aligned with their strategic goals.” A big welcome to our new joiners from BJSS. Together, we are poised to offer an even broader range of industry-leading technology solutions and advisory services to clients across the UK. https://go.cgi.com/4beYBii #BusinessConsulting #Government #Retail #Health #FinancialServices #Energy #Utilities #Acquisition
23 CommentsSungpack Hong
Oracle • 1K followers
Exciting news from Oracle Labs! We’re pleased to announce the open source release of the Open Agent Specification, a major step forward in building an open and interoperable AI agent ecosystem.The Open Agent Specification provides a standardized, declarative framework for defining AI agents and workflows, and is accompanied by robust tooling and a reference implementation. This initiative aims to foster collaboration, innovation, and reusability across the AI and developer communities. Huge thanks to our partners in Database, OCI, and Global Industry Units for their contributions and collaboration!Learn more and get involved in the project here: https://lnkd.in/gjKpD5VC#AI #OpenSource #AIAgents #OracleLabs #OpenAgentSpecification
6 CommentsDmitry Pluzhnikov
Arenadata • 2K followers
Greengage Database (based on Greenplum®, open source alternative)(https://lnkd.in/ehaCaYHt) is now available right inside DBeaver.Starting with the latest release on October 6, you can connect to and work with it directly from the DBeaver interface - just like you do with PostgreSQL, Greenplum, or any other database.
Aviatrix
49K followers
Cloud networks are not one-size-fits-all. As enterprises scale across AWS, Azure, GCP, and OCI, network architects play a critical role in ensuring security, performance, and operational simplicity. Our Network Engineer’s Guide to Multicloud Networking explores the strategies needed to design resilient cloud networks, debunks common cloud myths, and highlights how organizations can simplify operations rather than manage complexity.Network engineers are at the center of this transformation. Learn how to architect intelligently and build a multicloud network designed for scale.🔗 Download the guide: https://loom.ly/zxfwPW4#Multicloud #CloudNetworking #NetworkEngineering #Aviatrix #CloudArchitect
Roland Jones
Siemens Digital Industries… • 2K followers
A few weeks ago, I shared a post about a prototype AI Agent I'd built to assist users in interacting with Altair HyperMesh. This last week, I made a small modification which I thought demonstrates on why Agentic AI offers additional value to organisations over 'just' automation.I changed the agent type to a ReAct (Reasoning and Acting) agent, and this is where we really start to see powerful chaining of tools and actions, combining multiple in sequence. Whilst this is itself impressive, what the AI Agent also offers is context-aware observation, making more 'human' decisions that are not explicitly defined. In the short video below, you will see me try two prompts:1. In the first, I ask my agent to 'Rename my component to Box'. The crucial difference here is that I haven't explicitly said which component, which might cause challenges. Instead from the terminal we can see the thought process of needing to know the name of the component, using the tool 'ListComponents' to find it out, processing the response, and then using the 'RenameComponent' tool to perform the final renaming process.2. In the second prompt, I repeat exactly the same instruction. The agent again first checks the name of the component, but this time finds that it already has a component named 'Box'. Instead of trying to run the command which would cause an error, it's able to comprehend that it needs further information and feeds this back to the user.Hopefully this small example has shed some light on why Agentic AI can be so powerful when harnessed in the right way! Rather than purely being a natural language interface to run pre-built automations, AI Agents can do so much more such as:- leverage multiple tools in sequence on the fly- be context-aware and ask for additional information rather than simply acting- offer bespoke functionality to individual users and teams- support faster workflows and analysisLet me know what else you'd like to see as I continue to build out this demonstrator.#OnlyForward #AIAgents #CAE
2 CommentsClyde Seepersad
The Linux Foundation • 2K followers
The Triumph of the CommonsSoftware is not a finite resource. Seems like a simple enough concept but the implications are massive. Last week I commented on the power of industry collaboration in software development. This week we look at the three key aspects of collaboratively developed software which have fueled its rise.First, software in general is an unusual asset. Not only is it not consumed by usage but the utility tends to increase with the user base as network effects kick in. Finite assets suffer from the ‘tragedy of the commons’ due to overuse by individuals. Software is the opposite, which means that there can be a large constituency invested in its success.Second, software can be collaboratively created outside of the context of a single firm. The explosion of repositories on GitHub and GitLab illustrates this very powerfully. Anyone with an idea, and access to the repo, can offer up code to improve the offering. The code can be a simple bug fix or a massive new feature which creates many entry points for potential contributorsFinally, the adoption of open source licenses turbocharges participation by providing certainty about the intellectual property rights around the software. In particular, permissive licenses such as Apache 2.0 allows for commercial implementation while also shielding developers from liability for the code they contribute to the shared effort. This new normal of competitive collaboration is now showing up in industry after industry: Telecom (Networking 5G Super Blueprint), Financial Service (FINOS) and even the Movies (Academy Software Foundation). Collaboration is the new normal, the question is: is your industry next?
Cam McAllister
Hearth Insights • 891 followers
HMRC and UK bank services have been reported down this morning. The cause? An AWS failure in Virginia.This is the price of accidental architecture.CEOs just learned a hard lesson: "using the cloud" is not an engineering strategy. us-east-1 is the default region, the path of least resistance. It's the "choice" made by teams operating without governance.This morning, that technical default became a multi million pound single point of failure.Resilience isn't automatic. It must be designed. Region selection is a business critical decision not a developer's afterthought.Stop letting defaults define your risk.#AWSOutage #EngineeringLeadership #RiskManagement #SaaS #HMRC
81 CommentsTrung H Tran
Booz Allen Hamilton • 2K followers
The danger with how people are using AI today is the idea that there is a single answer to every problem, a ground truth. As an engineer, I know that is not true. There are many solutions to any given situation, and the answer depends on the requirements or the context within which the problem is proposed. In my 30 years as an engineer, I have come to realize that we live in a chaotic analog world, not a digital one. Code and circuits not only have to be customized for the system they work in, but also based on how they will be used. Theory and practice are not the same. Even as a Captain in the Air Force, I would be torched if I gave my commander a definitive answer. He would rather hear a set of possible solutions from which he could choose based on the needs of the moment. When using AI, you need two things. Experience with the problem you are trying to solve and a willingness to ask the AI multiple rounds of questions to explore other possible solutions. Just accepting what an AI gives you is just dangerous, and not knowing how to apply it in your system is doubly so.
6 CommentsJessica Ridella
IBM • 7K followers
At IBM's Tech in Action event, I had the pleasure of moderating a fantastic panel on one of the biggest questions facing UK businesses today: How do we turn AI ambition into real, scalable ROI?We kicked off with what we’re seeing at IBM:📈 66% of UK businesses are already realizing productivity gains from AI📈Consumers are ready too, 74% are comfortable with AI in decision-making and 79% trust it to deliver reliable resultsBut many organizations are still struggling to capture the full value of AI, so we brought together an expert panel to explore:-Where AI is delivering ROI today-What’s holding businesses back from scaling-How we build the skills needed for an AI-ready workforce-How to keep customer trust and experience at the centerHuge thank you to our brilliant panel:Natasha Davydova on the transformation of claims, customer experience, and the reality of scaling AI in insurance.Vishaal Gupta on preparing today’s workforce and students for an AI-first world.Sue Daley OBE on the barriers to wider adoption and the responsibility of industry + government in building AI-ready skills.Leon Butler on IBM’s Client Zero strategy and how businesses are achieving real productivity gains.We ended the session with an exclusive look at IBM’s new Quantum roadmap, an exciting glimpse into what’s coming next.Grateful to everyone who joined, contributed, and pushed the conversation forward. The UK has an enormous opportunity ahead!#AIForBusiness #EnterpriseAI #AITransformation #AIFuture #ResponsibleAI #UKTech #DigitalTransformation #Productivity #AIWorkforce #QuantumComputing #IBM #TechLeadership #InnovationUK #AIAdoption #FutureOfWorkCharles Smith Danielle Arney Dawn Herndon Chris Oldacre
13 CommentsJason Clauss
XenBuild • 7K followers
My latest article is up.If you're concerned with the implications of AI, it's helpful to understand how AI came to dominate the world so quickly. No, it's not because not enough governments banned it. It's because the companies who should have been its competition were so crappy that they were so easily replaced by a technology that was more toy than tool.https://lnkd.in/ga4vQ4Hc
12 CommentsLeonidas Souliotis, PhD
AstraZeneca • 3K followers
A bit late to watching this landmark video from Andrej, but his ideas about how LLMs will be treated as operating systems crystallizes something I’ve been sensing in my work: we’re at an inflection point in how we think about software architecture.His core message—that we need software readable by humans AND consumable by AI agents—feels inevitable once you hear it. We’re moving beyond the single-audience paradigm that’s defined programming for decades.What strikes me most is how this dual requirement will reshape our design decisions. Every API, every data structure, every documentation choice now has to consider: “Will both a human developer and an AI agent be able to work with this effectively?”It’s a fascinating constraint that might actually lead to better, more thoughtful software design overall.#SoftwareArchitecture #AI #DeveloperExperience
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