The DoT Blog

  Image generated with AI “These are dangerous times. Never have so many people had access to so much knowledge, and yet resistant to learn anything.” ― Tom Nichols, The Death of Expertise: The Campaign against  Established Knowledge and Why it Matters, 2nd Edition I’ve spent a significant part of my life devoted to work in the data management space, from programming to designing data solutions, and also a significant part of it managing, analyzing, and influencing (a word from these times) the importance of data and information in the decision-making processes of organizations. Also, for the most part, I’ve been staying in my lane, not too much involved in politics or the politics of the corporate world in a public manner. Yet, there is a growing paradox in today’s leadership landscape, one that is now too big to be ignored, at least by me, combined with an increasing politicization happening in the tech industry, or at least becoming more public. On one hand, we are living t...

  Logo courtesy of  Amazon.com, Inc. For the past few years, the AI conversation has been dominated by large public models and cloud-scale services, but quietly, another trend has been gaining traction: the push toward private, autonomous AI agents running closer to where data and decisions live. With the recent introduction of OpenClaw on Amazon Lightsail , Amazon Web Services (AWS) is nudging that conversation forward. This new offering essentially allows developers and organizations to run autonomous AI agents in their own AWS-controlled environment using relatively simple cloud infrastructure. On the surface, this might look like just another developer-friendly deployment option, but if we step back for a moment, it hints at a deeper shift into how organizations might design AI systems in the near future.   From AI Assistants to Autonomous Agents So far, most of today’s AI implementations still operate basically as assistants. You prompt them, they respond, even in en...

  Image by Freepik Two recent pieces, one from Wired and another from The Guardian , describe an experiment that feels equal parts absurd, fascinating, and unsettling: Moltbook , a social network designed almost entirely for AI agents talking to other AI agents. At first glance, Moltbook sounds like a gimmick: a bot-only social platform where AI personas post, reply, argue, form alliances, and generate content, without humans taking part directly. But once you look past the novelty, Moltbook becomes something more interesting and at times even concerning: a mirror held up to the direction social platforms, AI agents, and digital interaction may be drifting toward. So, let's address it.   A Social Network Without Humans (Mostly) According to the reporting, Moltbook allows users to deploy AI agents as social actors; these agents create profiles, generate posts, comment on each other’s content, and build reputations. Humans can see, tweak prompts, or set high-level goals, bu...

  Image by DC Studio on Freepik Dear friends, Yes, it’s true, organizations worldwide are racing to adopt artificial intelligence (AI), but many are tripping over a surprising obstacle: their data. But why? Well, because the very fuel AI relies on, the business data that should inform decisions, is often fragmented, inconsistent, or simply unreliable. This is not a niche issue; surveys consistently show that more than half of business and technology leaders cite poor data quality as a top barrier to AI adoption. The paradox seems clear: companies invest in sophisticated AI models without first ensuring their data is ready to support them. The result? AI projects stall, insights are misleading, and innovation slows. But fixing this doesn’t mean just collecting more data; it means rethinking how data is structured, connected, and understood. So, below are five takeaways that challenge conventional wisdom and reveal how organizations can, potentially, turn data from a liability into a...

Within the last couple of years, Artificial Intelligence (AI) has transitioned from being a mere futuristic concept to becoming a cornerstone of modern society. From healthcare diagnostics to autonomous driving, AI's influence has been expanding at an exponential rate. However, as the famous quote says:   “With great power comes great responsibility .”     To address this, as we continue to harness AI's transformative potential, we must also focus on its ethical, social, and legal implications. This is precisely what the European Union (EU), known for its stringent regulatory standards, has aimed to achieve by introducing the AI Act —a groundbreaking legislative framework designed to ensure AI benefits society without compromising safety, fairness, or fundamental rights.   A Brief Background Despite  AI’s meteoric rise, it has not been without controversy. Its integration into diverse industries like finance, education, and law enforcement has ...