When hackers grounded Aeroflot and wiped out thousands of its servers, they didn’t just take down flights—they exposed just how fragile a big company’s tech stack can be. One minute you’re a national airline; the next, your app’s dead, your call center’s silent, and your entire network’s in shambles.
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.
Microsoft has laid off approximately 15,000 employees in 2025, even as the company ramps up its investments in artificial intelligence and cloud infrastructure. The job cuts, representing about 4% of its global workforce, come despite strong financial performance and continued growth in its AI offerings.
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.
In the twentieth century, totalitarian rule was built on simple things: paper lists, fear, and backrooms with wires in the walls. People disappeared into archives, interrogations, and camps. But even then, it all worked thanks to the technologies of the time — typewriters, intercepted letters, shortwave radio. Technology didn’t save anyone from dictatorship. It merely…
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?
Mining has always been about going deeper — into the earth, into risk, and into logistics. But as the pressure to improve safety, reduce environmental impact, and increase operational efficiency mounts, the industry is being forced to go deeper into data as well.
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…
You can find numerous software solutions that cater to the specific needs and address specific domains of various business models in the market. Still, enterprise solutions require solving multiple issues, transforming workflows across different departments to harmonize business processes, and creating software that enables continued innovation and scaling. This distinction demands specialized development teams with…
