Insider's Edit: Developing an 'AI IQ' for Business Success
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Developing an 'AI IQ' for Business Success
AI holds tremendous promise. Yet, most companies have to work hard to capture its benefits. While data science and machine learning were hyped in the 2010s, fewer than 25% of firms adopted more than one AI model. Now, generative AI like ChatGPT is the hot new trend. For some reason, they believe they will succeed with generative AI using the same approaches. However, companies need to change their approach to avoid repeating past disappointments.
The solution lies in a proven methodology aligning AI to business strategy across people, processes, and technology using a human-focused and value-based approach.
In this opinion piece from Seth Dobrin, the founder and CEO of Qantm AI and former IBM global chief AI officer, he outlines a practical roadmap so organizations can leverage AI to achieve strategic goals from the C-suite to frontline operations.
What is Generative AI and How is it Different from Other AI?
2023 will go down as the year when generative AI went mainstream, with applications like ChatGPT , Google Bard , DALL-E and Midjourney grabbing headlines for their startling ability to create prose and art from just a simple text prompt.
These are all examples of generative AI — artificial intelligence which can create new content on the fly. But what is generative AI and how does it work? We will answer those questions below, as well as raising some of the serious societal questions that generative AI prompts and looking at just what the future holds for this exciting branch of artificial intelligence.
New $1 Billion ‘AI Supercloud’ to Power Business AI Workloads
NexGen Cloud is gearing up to launch an ‘AI Supercloud’ service to power high-performance computing for AI applications.
The project is designed to meet the increasing demand for computing resources amid the generative AI wave. NexGen’s Supercloud platform aims to offer cost-effective access to GPU cloud services for European businesses and startups.
The company plans to invest $1 billion in the project – with some $576 million already earmarked for hardware from suppliers including Nvidia .