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Gregory Shein on the Rise of AI Models: DeepSeek and OpenAI
Innovation Vs. Legacy: Driving ROI in Tech In the rapidly shifting tech landscape, businesses are constantly torn between maintaining legacy systems and adopting innovations. While legacy infrastructure may offer stability, the push for modernization presents both risk and reward. So, how can leaders manage the trade-off between maintaining old systems and driving innovation? This series…
Closing the Fashion Loop: AI’s Role in Driving Circularity
For decades, the fashion industry thrived on a linear model: take, make, use, and discard. But today it’s becoming circular. Circular fashion is not a trend; it’s a complete shift in mindset. It’s about designing garments, keeping their second life in mind – whether through resale, repair, or recycling. And here’s the surprising twist: Artificial…
H&M’s AI Playbook: The Tech Strategy Behind Its Transformation
In the ever-evolving landscape of the fashion industry, the integration of Artificial Intelligence (AI) has emerged as a transformative force, reshaping the traditional paradigms of product development. It’s becoming a core part of operations, design, and customer engagement for a growing number of brands. Many businesses are turning to predictive analytics to optimize their supply…
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Culture as Code: Embedding Values Into Global Tech Teams
In the technology world, culture is often described as something soft, something intangible, something HR will “roll out.” Yet anyone who has led global engineering teams knows the truth. Culture behaves more like code than policy. It has logic, structure, inheritance, and consequences. It shapes how people work, think, and respond to pressure. Corporate culture…
The Hardware Shift: Energy Efficient Data Centers for Sustainable Infrastructure
The global economy is now heavily reliant on digital technologies. Every click, search, or streamed video triggers an unseen exchange of power within massive data centers worldwide. These facilities, once celebrated as symbols of digital progress, are now being scrutinized for their energy intensity. According to multiple sustainability reports, despite billions of dollars invested in…
Corporate Diplomacy Has Become the Hidden Advantage of Modern Tech Execs
For the better part of the last century, global diplomacy was shaped by states, treaties, and ambassadors. Today, an unexpected arena is inheriting many of the same pressures: the technology boardroom. As companies expand across continents, scale distributed teams, navigate unpredictable regulation, and face public scrutiny that resembles geopolitical pressure, leadership is starting to look…
Beauty Meets Intelligence: The Rise of AI-Powered Skin and Hair Care
For years, skincare and haircare have been guided by intuition, trial and error, and broad marketing claims. But the rise of AI-powered analysis is rewriting that narrative—bringing science, precision, and personalization to the forefront of beauty. From analyzing skin tone and hydration levels to detecting scalp health and damage patterns, AI is enabling brands to…
Why Green Tech is Becoming Non-negotiable
For years, sustainability was viewed as a moral choice, something businesses pursued to appear responsible, not necessarily to drive growth. That perception has changed. As capital markets, customers, and regulators converge on climate accountability, green technology has moved from “nice to have” to a hard business requirement. Across industries, the adoption of sustainable technologies is…
The Circular Economy Tech: Repair, Reuse, and Rethink
In an age where innovation cycles are measured in months, the technology industry has become both a symbol of progress and a source of an escalating environmental dilemma. Every new phone, laptop, or server brings improved performance, but also contributes to a growing mountain of electronic waste. The world generated over 62 million tonnes of…
AI Carbon Footprint: Balancing Innovation with Environmental Responsibility
Artificial intelligence’s potential to tackle humanity’s toughest problems is undeniable. But behind the efficiency and intelligence lies an inconvenient truth: AI has a carbon footprint. As generative models grow in size and complexity, their energy demands have soared. Each new model brings exponential leaps in computational intensity, raising an uncomfortable question for business leaders and…