Until recently, “more” was the default answer to almost any artificial intelligence (AI) challenge. More data, more parameters, more compute. But now, many organizations are realizing that raw scale comes with a price: spiraling infrastructure costs, slower inference times, and rising energy use. That raises a question: Do we need a 70-billion-parameter model to summarize
Artificial intelligence (AI) is accelerating down the enterprise highway. But according to new research, governance is idling in the slow lane, and the gap is already raising breach costs, fueling shadow AI adoption—when employees use generative AI tools outside official oversight—forcing regulators to wave the caution flag. Global average data breach costs fell in 2025
The artificial intelligence (AI) revolution began with general-purpose models—the Swiss Army knife of intelligence. Handy, flexible, and able to do a bit of everything, they’ve answered customer questions, written and debugged code, and even nailed a wedding toast or two. Impressive? Absolutely. But when precision and compliance are on the line, these jack-of-all-trades models aren’t
Data fuels our global digital economy. As AI and analytics applications proliferate, the value of critical data continues to rise, along with the urgency to protect it. Governments around the world are responding. Most nations now enforce data sovereignty laws that regulate how digital information is collected, processed, and stored within their borders. The result
How energy innovation is reshaping infrastructure for AI workloads AI is redrawing the global energy and infrastructure map. In the past year alone, energy demand from hyperscale AI data centers has surged so dramatically that innovators, operators, and governments are turning to unconventional solutions: redeveloping the site of America’s worst nuclear accident into an energy
AI is reshaping how sales, alliance, and partner program leaders drive growth Artificial intelligence (AI) technology is no longer available to only the lucky few. It’s now integrated into nearly every aspect of business operations across various industries, from customer service and marketing to data analysis and supply chain management, impacting how companies operate and
AI personalization is transforming business operations by optimizing processes and delivering tailored experiences. By analyzing vast amounts of data in real time, AI allows companies to customize everything from customer interactions to internal workflows based on individual behaviors and preferences. This adaptability makes businesses more agile, responsive, and innovative, providing a crucial edge in a
Artificial intelligence (AI) is a two-sided coin. While it has revolutionized how we work, communicate, and interact with technology, it has also accelerated the speed and complexity of cyber exploits. As AI-driven attacks increase in scale and impact, experts emphasize the need for businesses to move beyond traditional, human-centric defense strategies.1 By harnessing AI to
Each year, industry leaders work to uncover trends and insights about cybercrime. The latest crop of reports shows that the human element remains a top issue in data breaches. What’s different in 2024 is that large language models (LLMs) have transformed how people work, enhancing our ability to brainstorm effectively and quickly, automate routine tasks,
On Tuesday, May 21, 2024, world leaders met virtually at the AI Seoul Summit—a follow-up to the AI Safety Summit in November—to adopt a new AI agreement. The gathering, co-hosted by South Korea and the UK, included leaders from the G7, Australia, Singapore, the UN, the EU, and representatives from global tech organizations. Sixteen leading
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