Mark O'Neill’s Post

It's great to see Gartner spotlighting developer productivity in this year’s Hype Cycle for Emerging Technologies. Many organisations are grappling with the right metrics, especially with the rise of AI tools like code assistants that claim to improve productivity. But here's the challenge I often hear from clients: measuring productivity isn’t just about adopting new frameworks like DORA, SPACE, or DevEx. It’s about getting a true representation of effectiveness. At BlueOptima, we consistently see organisations keen to enhance developer performance but struggling with how to measure it accurately. When metrics are cherry-picked, they often give a partial or misleading picture of what’s actually happening in the codebase. We need to dig deeper into the data to understand the balance between productivity, quality, and sustainability and how it's influenced by the tools and processes we implement. The question isn’t just which metrics to use, but are we capturing the full picture of what drives long-term success?

Driving Business Value: Field Automation Through AI. Marching forward ceaselessly into 2024, the field of AI development now places its focus on autonomous field operations. Cutting-edge advancements, presented at this year's World Economic Forum, highlight AI's key role in coordinating and improving field operations for a variety of industries, from utilities to agriculture. Google's newly unveiled AI-based navigation system uses complex algorithms to facilitate autonomous navigation in areas with unpredictable environments, enabling companies to revolutionize their field operations. IBM recently showcased their AI service for automated quality inspection that boosts operational efficiency by reducing manual tasks and accelerating decision making. The system rapidly adapts to various environmental factors, improving safety and speed of field operations while maintaining excellence in quality control. What role does AI play in your organization’s field operations? Share your experiences and insights below! #AI #Automation #ArtificialIntelligence #FieldOperations #Efficiency #Safety #BusinessValue #MachineLearning #TechNews #WorldEconomicForum #IBM #Google

𝗖𝗲𝗹𝗲𝗯𝗿𝗮𝘁𝗶𝗻𝗴 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝘀 𝘄𝗵𝗼 𝗺𝗮𝗸𝗲 𝗶𝘁 𝗽𝗼𝘀𝘀𝗶𝗯𝗹𝗲! As we celebrate Engineers Day, let's acknowledge the incredible feats achieved through robust and precise innovations done by engineers.  Imagine decoding terabytes of automotive data in mere hours! Our team's groundbreaking solution has revolutionized the industry, offering unparalleled efficiency and scalability. We've transformed raw data into actionable insights by harnessing the power of cloud-native technologies. Our solution empowers automotive engineers to make data-driven decisions and accelerate innovation. Click the link below to explore more of our case studies that showcase the prowess of our Engineers! https://lnkd.in/dRXCjAiP #EngineersDay #AI #Engineering

🚀 New video alert! 🚀 We just released an exciting conversation between me and Koen Ter Velde, the founders of AI & software agency SevenLab, discussing the latest in #AI and its applications in business. From #multiagent systems to #robotics, we cover some of the most cutting-edge developments, including OpenAI's new "Swarm" release and Meta’s latest advancements in video models. 📽️🤖 Key takeaways: ✅ Multi-agent systems boost efficiency by assigning specialized tasks to different AI agents. ✅ Meta’s video models, like MovieGen and Pyramid Flow, are leading a new era in video generation. ✅ OpenAI's Swarm simplifies building AI agents for real-world use cases. ✅ Tesla's robotics advancements, including the Optimus humanoid, show how far AI can go. ✅ AI support systems see massive improvements with multi-agent setups, enhancing complex task orchestration. If you’re looking to understand how AI is transforming industries, this is a must-watch! 🎥 Watch the full video here: https://lnkd.in/ebUF-4_j #artificialintelligence #business #swarm #machinelearning #videomodels #openai #generativeai #SevenLab

Overprovisioning clusters is easy but comes at great expense. Installing systems that meet this demand are hard to optimize, scale, and manage on a day-to-day basis. As such, those undertaking such efforts must carefully plan for and address every step of the process – designing, building, deploying, and managing high-performance clusters for AI. The post […] #Engineering #Robotics #Recruiters

The early videos here are from MIT, Boston Dynamics was founded in 1992 -- but that's not my main point. After 40 years of research, there still isn't a viable commercial product from this. Even if we take the 1992 founding date, this is a company that has apparently existed for 30 years ... without a single product. This company has existed for 30 years, funded, apparently, entirely, not by happy customers, but by taxpayers. This research may be amazing, and it may eventually lead to useful commercial and consumer products, much like GPS has, but one must also ask "why wasn't this funded privately?" And the answer is quite simple: people would have rather done other things with that money. We cannot only look at what has been achieved here, we must also count the costs -- and not the costs in dollars, but in the things other people had to involuntarily give up in order to get the money for this. And the cost of the missing actually productive research and engineering the people hired by Boston Dynamics might have engaged in if this boondoggle. "In this lies almost the whole difference between good economics and bad. The bad economist sees only what immediately strikes the eye; the good economist also looks beyond. The bad economist sees only the direct consequences of a proposed course; the good economist looks also at the longer and indirect consequences. The bad economist sees only what the effect of a given policy has been or will be on one particular group; the good economist inquires also what the effect of the policy will be on all groups." -Henry Hazlitt #bostondynamics #innovation #economics

Decision-Zone’s DADA X platform is a game-changing solution that's redefining how we think about autonomy. 🔹 Real-Time Decision Making: Unlike traditional systems bound by historical data, DADA X leverages state machines with causal control. This allows for real-time contextual analysis and decision-making, adapting dynamically to current conditions. 🔹 N-Dimensional State Space: Our approach operates in an n-dimensional state space, capturing the full complexity of a system's state for more precise and adaptive behavior. 🔹 Advanced Pattern Matching: Utilizing the Rapide pattern language, our solution enables sophisticated understanding of cause-and-effect relationships, enhancing the system's ability to respond to complex scenarios. 🔹 Integrated Development Environment: Our IDE converts state machines into event patterns, modeling complex interactions between system components based on real-time data. This essential for a system’s autonomous functionality. 🔹 Runtime Engine: Deployed on the system bus, our runtime engine uses pattern matching to make informed decisions without relying on historical data. DADA X analyzes events in context with the state machine to detect anomalies and trigger appropriate responses. This approach minimizes latency and enhances scalability and responsiveness. DADA X isn't just an incremental improvement - it's a paradigm shift in autonomous system design. By addressing the limitations of traditional architectures, we're opening new possibilities for precision, adaptability, and efficiency across various applications. What are your thoughts on the future of autonomous systems? #AutonomousSystems #AI #DecisionZone #Innovation #TechTrends

It will be interesting to see where the CI machine for our modular toolbox that we are building will be in 40 years.

40 years of Boston Dynamics (1983-2023) 🤖 But as the #ai is progressing, there is high hopes that AI will shorten these innovation cycles in coming time. Clip credit: World Data Center #robotics #engineering #ai #innovation #technology #kipeople