Google's Gemini AI surges to No.1
Microsoft shares 200+ AI business transformation stories
AI is already changing management
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Google's Gemini AI surges to No.1
Google has ascended to the top of a critical artificial intelligence (AI) benchmark with its latest experimental model. However, industry experts caution that traditional testing methods may no longer accurately measure true AI capabilities.
The model, named "Gemini-Exp-1114," is now available. It matched OpenAI's GPT-4o in overall performance on the Chatbot Arena leaderboard, garnering over 6,000 community votes. This achievement marks Google's most formidable challenge yet to OpenAI's long-standing dominance in advanced AI systems.
According to Chatbot Arena, the experimental Gemini model excelled in several key areas, including mathematics, creative writing, and visual understanding. However, this breakthrough comes amid growing evidence that current AI benchmarking methods may oversimplify model evaluation. When researchers adjusted for superficial factors like response formatting and length, Gemini's performance dropped to fourth place, underscoring how traditional metrics can inflate perceived capabilities.
This discrepancy highlights a fundamental issue in AI evaluation: models can achieve high scores by optimizing for surface-level traits rather than demonstrating genuine improvements in reasoning or reliability. The emphasis on quantitative benchmarks has spurred a race for higher numbers that may not reflect meaningful progress in artificial intelligence....
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Microsoft shares 200+ AI business transformation stories
In the past 30 years, we’ve seen four major platform shifts, from client server to internet and the web to mobile and cloud to now—the next major platform shift to AI.
As today’s platform shift to AI continues to gain momentum, Microsoft is working to understand just how organizations can drive lasting business value. We recently commissioned a study with IDC, The Business Opportunity of AI, to uncover new insights around business value and help guide organizations on their journey of AI transformation. The study found that for every $1 organizations invest in generative AI, they’re realizing an average of $3.70 in return—and uncovered insights about the future potential of AI to reshape business processes and drive change across industries.
In working with organizations large and small, across every industry and geography, we’ve seen that most transformation initiatives are designed to achieve one of four business outcomes:
Enriching employee experiences: Using AI to streamline or automate repetitive, mundane tasks can allow your employees to dive into more complex, creative and ultimately more valuable work.
Reinventing customer engagement: AI can create more personalized, tailored customer experiences, delighting your target audiences while lightening the load for employees.
Reshaping business processes: Virtually any business process can be reimagined with AI, from marketing to supply chain operations to finance, and AI is even allowing organizations to go beyond process optimization and discover exciting new growth opportunities.
Bending the curve on innovation: AI is revolutionizing innovation by speeding up creative processes and product development, reducing the time to market and allowing companies to differentiate in an often crowded field.
In this blog, we’ve collected more than 200 of our favorite real-life examples of how organizations are embracing Microsoft’s proven AI capabilities to drive impact and shape today’s platform shift to AI. We hope you find an example or two that can inspire your own transformation journey.
This shift not only makes the work environment more stimulating but also boosts job satisfaction. It sparks innovation, provides actionable insights for better decision-making and supports personalized training and development opportunities, all contributing to a better work-life balance.…
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AI is already changing management
Most companies lack a formal artificial intelligence (AI) strategy, yet the technology is already deeply embedded in their operations. A recent LinkedIn survey revealed that three-quarters of white-collar workers have used AI for work, with four-fifths doing so from their own accounts and devices. Many employees are not seeking their employers' permission and are, in fact, concealing their use of AI due to fear of repercussions.
This situation underscores the urgent need for managers to shift their focus from questioning AI's relevance to actively shaping its role within their organizations. This shift will introduce a host of new challenges that will redefine the essence of management. Traditional organizational structures, which are based on the premise that human workers are the sole source of intelligence, must now adapt to this new reality.
In many organizations, the primary measurable output is words—whether in emails, reports, or presentations. These words serve as proxies for effort, intelligence, and diligence. For instance, a middle manager's weekly status report is not just about the content but also signals that the manager is effectively overseeing the project and making necessary adjustments.
Historically, this system has functioned adequately. Senior managers could quickly gauge the substance and quality of a report, reflecting the effort and thought put into it. However, with the advent of AI tools, employees can now produce work that meets all formal criteria without necessarily reflecting genuine effort or insight.
This development poses a challenge to traditional management practices. If AI can generate reports, emails, and presentations that are indistinguishable from those created by humans, how can managers accurately assess the true contributions and value of their employees?….