Blog
Articles, reports and field notes from teams designing, shipping and operating AI systems inside real organizations.
Every week I filter roughly 15 AI newsletters down to what matters for production teams.
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This week had one theme: fracture. Three frontier labs shipped models in 72 hours.
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Eighteen days without a frontier model is a long time when your production systems depend on it.
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This was the week everyone stopped fighting over AI intelligence and started fighting over AI control.
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This was the week the platforms stopped talking about AI and shipped infrastructure for it.
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This week had one theme: the sovereignty fracture.
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This week had one theme: the 80% threshold.
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The future of QA isn’t “AI will replace testers.” It’s more uncomfortable than that.
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This week’s signal was hard to miss: the supply side accelerated at a pace that makes the enterprise side look like it’s standing still.
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The infrastructure bill just arrived. The organizations that survive it won’t be the ones spending the most.
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Somewhere around edition five, I stopped reading the newsletters for what’s new and started reading them for what keeps repeating.
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Human-in-the-Loop, or HITL, has become one of those phrases that gets nodded at in board meetings and lost in the slide deck.
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I read about 15 AI newsletters a week. Most repeat each other.
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Every week I read AlphaSignal , The Batch , Exponential View, Tunguz, The Rundown, and about ten more AI newsletters.
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Every week I read AlphaSignal , The Batch , Exponential View, Tunguz, The Rundown, and about ten more AI newsletters.
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Every week I read AlphaSignal , The Batch , Exponential View, Tunguz, The Rundown, and about ten more AI newsletters.
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Every week I read AlphaSignal , The Batch , Exponential View, Tunguz, The Rundown, and about ten more AI newsletters.
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I have spent over 25 years in the software industry.
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I read about 15 AI newsletters a week. Most repeat each other.
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AI-accelerated development can transform how you write, debug, and deliver code, but getting consistent, high-quality results takes skill.
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The pattern is always the same. A team spends six months building a pilot.
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When we first introduced AI tools to our software development team, we didn’t receive the expected reaction.
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At Tecknowork, our exploration of multi agent systems (MAS) in artificial intelligence has revealed transformative potential for business operations.
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While mainstream LLMs continue to dominate headlines, a fundamental challenge remains largely
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In 2025, digital transformation remains a critical priority for businesses worldwide.
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We’ve got 11 quick tips, based on our team’s personal experience, to turn you from a hackathon participant to a hackathon champion.
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When retailers list their business priorities, technology isn’t always the first thing that comes to mind.
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In today’s fast-paced tech world, generative AI is making waves, offering incredible capabilities in content creation, customer support, and more.
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The advent of Artificial Intelligence (AI) has revolutionized industries, presenting unprecedented opportunities and challenges.
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Data analytics is key to achieving sustainable development goals, focusing on energy consumption, waste management, and the environmental impacts of industries.
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As the digital age ushers in an era of data-driven decision-making, integrating AI into the retail industry has become indispensable.
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A recent study by Microsoft and IDC sheds light on the substantial economic benefits of AI adoption and offers a comprehensive overview of its transformative potential across various industries.
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The recent Databricks State of Data + AI Report reveals that we are in the golden age of data and AI.
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Tecknoworks will integrate Databricks’ advanced data engineering, machine learning, and analytics capabilities into its service offerings. The unified platform provided by Databricks will enable Tecknoworks to offer more
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As we navigate the evolving work landscape, understanding the shifts in workforce dynamics is crucial for organizations aiming to stay ahead.
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Welcome to the latest entry in our exploration of cutting-edge technology implementations!
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It’s been over a year since ChatGPT was publicly released, sparking significant interest and raising awareness across a broad audience.
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We find ourselves at a pivotal moment in the evolution of technology.
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Here at Tecknoworks we deal with a lot of interesting projects .
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Imagine a world where guesswork takes a backseat and data drives powerful decisions.
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We are living in truly transformative times.
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Dive into our comprehensive comparison of cloud data warehouse solutions, including Microsoft Fabric, AWS, GCP, and Snowflake, to discover which platform offers the best blend of analytics, cost-efficiency, and data integration for your business needs.
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Stardate 23018.1 or 21st of July 1969, mankind takes its first steps on the Moon.
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With society’s growing reliance on AI for complex tasks, AI TRiSM plays a pivotal role in regulating and managing the deployment of AI models effectively.
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Microsoft Fabric is already out there, and today, we’re here to discuss its exciting development in the world of healthcare data solutions.
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Technology has steered into a new era of software development.
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Even before the pandemic forced companies across the globe to re-evaluate their technology , most were already aware of the value of moving to the cloud — and many had started or completed the process.
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Our expert colleagues took Microsoft Fabric for a spin.
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Our expert colleagues took Microsoft Fabric for a spin, and we would like to share their professional insights and discoveries with you, in this first article, part of a dedicated series.
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Tecknoworks, a global technology consulting company, and Datalogz, the first-of-its-kind BI Ops solution, have announced a joint strategic partnership.
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One of the biggest digital trends in healthcare for 2023 (dramatically accelerated by the pandemic) is an ongoing change in the way that patients and healthcare providers communicate.
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It’s no secret that the last few years have brought major challenges to many of us personally, as well as a massive shake-up to the business world.
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We all know that data is being generated at incredible rates, to the tune of 2 quintillion bytes every single day.
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“Data science” is one of those terms that you’ve been hearing for years.
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C-suite interest in robotic process automation (RPA) has ticked up in the past few years, and especially since the onset of the pandemic.
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By this point in our post-COVID world, most companies have implemented at least a few technologies to adapt to our new reality.
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This could be because, even though the concept of “digital transformation” has been around since the late 1990s, there’s still a lot of confusion over exactly what it is.
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With the total business upheaval of the last several months, many company leaders are asking what their next digital move should be, now that they’ve dealt with the immediate crises.
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During my career, I’ve been involved in multiple web projects where the social login feature was a must.
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It probably sounds crazy to say that you don’t need a digital strategy when undertaking your digital transformation, right?
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Even before this pandemic turned the business world on its head, you were already being reminded every day that you had to “adapt or die,” that transformation is “key to survival,” that your company must “evolve or go
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Many organizations are past the initial triage of creating secure and effective work-from-home processes.
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Recently, test pooling has been suggested by Frankfurt Goethe University.
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Recently, we posted a roundup of some of the current articles on technology initiatives during COVID-19.
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The Coronavirus pandemic has upended millions of lives and affected every corner of the globe.
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Five years ago, wearable technology with health applications was primarily limited to fitness trackers and were niche devices, with shipments of only 30 million sold to sports enthusiasts worldwide.
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Rolling out a business intelligence tool in any company, especially an enterprise organization, comes with risks that have the potential to damage the company’s reputation or affect day-to-day operations.
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Your company has recently pulled the trigger on a data project.
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Implementing a data analytics program is crucial for competitive edge in today’s business environment – but nobody said it was easy.
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Organizations that have been around since the pre-digital era face the same general technology dilemma: They know it’s important to modernize legacy applications in order to have resilient and evolving IT, but they’re hesitant to scrap valuable systems.
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Across industries, companies understand that technology is now crucial to their success , as well as a key driver of competitive edge.
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This post is one in our “Market Advantage through Technology” series, where we look at a specific problem within an organization or industry, and show how technology is used to not only solve it, but provide solid competitive edge.
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Today our topic is practical, addressing what big data is in the real world.
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In our previous blog, we explored the concept of Big Data, briefly discussed the phases in a Big Data solution, and explained how you can advise your customer with the association algorithm about the next product he or she might want to purchase.
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Though it’s regarded as a new idea, the phrase “big data” actually became popular in the 1990s.
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Thanks to COVID-19, almost all teams today are distributed.
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This article is the third part of our series on eliminating code smells through the use of simple refactoring.
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The article is a continuation of Part 1 on simple refactoring, where we wrote about refactoring through simple changes.
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I’m going to start off by explaining the concept of refactoring, why it’s useful in eliminating code smells, and when it should be applied.
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With the rapid advances in technology, programming languages, and user research, software projects today are more complex than even before.
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Throughout the development phase of a software product, there comes a time when the source code needs maintaining.
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One of the more common buzzwords in today’s digital world is Business Intelligence (BI) .
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The HoloLens Augmented Reality headset was first announced by Microsoft at the 2015 developer conference in May, and the company made sure to amaze everybody with a new futuristic concept meant to make interactive holograms a reality.
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