This Week's Guide to Building an 'AI IQ' for Business Success

Here are this week's most popular stories:

1. **Developing an 'AI IQ' for Business Success**

Artificial intelligence (AI) offers vast potential for businesses, but realizing its benefits often proves challenging. Although the buzz around data science and machine learning peaked in the 2010s, fewer than 25% of companies ventured beyond a single AI model. Today, generative AI, exemplified by tools like ChatGPT, has captured attention, yet many organizations mistakenly expect success with this technology using outdated strategies. To avoid past pitfalls, companies must adopt a fresh perspective. A human-centric and value-driven methodology is essential, aligning AI initiatives with overarching business strategies across personnel, processes, and technology. In this context, Qantm AI's founder and former global Chief AI Officer at IBM lays out a practical roadmap for leveraging AI to meet strategic objectives spanning from the C-suite to frontline operations.

2. **What is Generative AI and How is it Different from Other AI?**

The year 2023 marks the emergence of generative AI as a mainstream phenomenon, with tools like ChatGPT, Google Bard, DALL-E, and Midjourney gaining traction for their remarkable capability to generate written and visual content from simple text prompts. Generative AI stands apart from traditional AI by creating new content autonomously rather than merely identifying patterns or making predictions. This innovative form of intelligence is centered on originality and creativity, enabling businesses and users to exploit its potential for fresh and diverse output.

3. **New $1 Billion ‘AI Supercloud’ to Power Business AI Workloads**

NexGen Cloud, based in the U.K., is set to launch an ambitious ‘AI Supercloud’ service aimed at enhancing high-performance computing for AI applications. This initiative responds to the soaring demand for computing resources spurred by generative AI innovations. The Supercloud platform is designed to provide European businesses and startups with cost-effective access to GPU cloud services. With a $1 billion investment planned, around $576 million will be allocated to hardware from various suppliers. The project will feature over 20,000 Nvidia H100 GPUs, anticipated to be operational by June 2024. Access to this advanced AI Supercloud will be facilitated through NexGen’s newly announced Hyperstack platform, which offers a GPU-accelerated cloud interface tailored for the European market.

4. **Zuckerberg Philanthropy to Use AI to 'Cure, Prevent, or Manage All Disease'**

Mark Zuckerberg is making significant investments in AI research aimed at combating diseases. The Chan Zuckerberg Initiative (CZI), co-chaired by Zuckerberg and his wife Priscilla Chan, plans to build one of the world’s largest computing systems dedicated to nonprofit life science research. This high-performance computing cluster will incorporate over 1,000 GPUs, specifically designed for AI and large language models (LLMs). The initiative aims to provide researchers with predictive models of healthy and diseased cells, fostering ground-breaking medical advancements. According to Patricia Brennan, Vice President of Science Technology at CZI, the establishment of this AI computing infrastructure is critical for enhancing the scientific community’s understanding of cellular interactions, facilitating efforts to cure, prevent, or manage diseases by the century's end.

5. **Meta's Llama 2 Long: Enhanced Lengthy Input Handling**

Meta has rolled out an update to its flagship open-source large language model, Llama 2, enhancing its capability to process longer inputs. The newly introduced Llama 2 Long has been highlighted in recent research, demonstrating performance that rivals proprietary models with extended context windows, such as Claude 2 from Anthropic. Capable of managing texts up to 32,768 tokens, Llama 2 Long excels in long-context tasks like summarization, question-answering, and data aggregation, while also improving performance on traditional short-context benchmarks.

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