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Meta, Google, and OpenAI allegedly exploited undisclosed private testing on Chatbot Arena to secure top rankings, raising concerns about fairness and transparency in AI model benchmarking.
The company is hopeful that changing its license will allow it to better compete with the Valkey fork.
In this issue: AI is requiring a reset for CIOs and other IT leaders in how they lead both their technical and business strategies and execution approaches. Here, we explore some of the implications of artificial intelligence on IT leadership.
Don’t be swept away by ambitious promises of limitless innovation. Review your business case and infrastructure while you wait for this technology to mature.
Being all-in with the hyperscalers isn't working anymore. Enterprises are diversifying their data platforms for the AI era.
Faced with political uncertainty and complex global supply chains and regulations, smart enterprises will be proactive with their cloud strategies.
As more organizations adopt low-code and no-code platforms and tools, tech leaders must understand the risks and benefits involved.
DeepSeek, and the open source AI ecosystem surrounding it, has rapidly evolved from a ‘moment’ into an unstoppable global force.
In this issue: We explore the intersection of AI and analytics. Data analytics only gets more complex. And its growing use for artificial intelligence applications brings a new set of considerations and strategies for IT and business leaders.
When training an LLM has enormous costs and environmental impact, it’s worth asking what we gain by creating another one—especially if it isn’t that different from other models.