GeoAI helps scientists and business professionals make more informed decisions, such as where to build, where to drill, where new opportunities can emerge, or where companies can find opportunities.
Let’s stop pretending this is innovation. What we’re witnessing is the corporate world kneeling before a new golden idol—one that doesn’t bleed, doesn’t breathe, and doesn’t unionize.
Logistics has always been the step ahead—centuries before e-commerce, supply chains used clever tricks to outpace uncertainty. Now, machine learning has taken that legacy to new heights. Today’s logistics providers are pioneering AI-driven forecasting that many other industries are only beginning to explore.
As environmental and ESG (Environmental, Social, and Governance) compliance continues to gain value for both public and private sectors, new technologies develop this fundamental base to meet a new standard: sustainable procurement. Procurement teams require tools to evaluate, select, and manage suppliers based not only on cost but also on environmental and social impact, which…
Generative AI tools like ChatGPT, Midjourney, and Claude have made it easier than ever to produce articles, images, music, and even code — sometimes with just a few clicks. But as businesses rush to automate content creation, one critical question remains: Who actually owns AI-generated work?
We aim to help business owners understand how the integration of machine learning (ML), natural language processing (NLP), computer vision, and intelligent agents enhances AI workflow automation for businesses across various industries. As part of your digital transformation strategy to automate business operations, you begin searching for the right tools and experts in the market…
So, you thought AI could replace your dev team? How’s that going? 😀 If you’ve spent the last few months trying to build your MVP with a prompt instead of a product team — congratulations, you’ve just learned what many founders are now quietly admitting: it’s harder, slower, and far more fragile than it looked…
Klarna’s bold leap into AI-driven customer service has hit a human wall. Less than a year after replacing 700 staff with AI, the company is now backtracking, admitting that automation alone couldn’t deliver the quality customers expected.
Every new wave of automation has put us under stress about jobs disappearing. Advances in artificial intelligence—especially generative AI like large language models (LLMs)—make some of us anxious about “What’s next?”
You used to ask your best friend for dating advice. Or maybe your therapist. Now, some people whisper their secrets to a chatbot trained on Reddit threads and pop psychology. And it answers—politely, supportively, and without judgment.
