Anthropic, an artificial intelligence company founded by exiles from OpenAI, has introduced the first AI model that can produce either conventional output or a controllable amount of "reasoning" needed to solve more grueling problems. Anthropic says the new hybrid model, called Claude 3.7, will make it easier for users and developers to tackle problems that require a mix of instinctive output and step-by-step cogitation. "The [user] has a lot of control over the behavior--how long it thinks, and can trade reasoning and intelligence with time and budget," says Michael Gerstenhaber, product lead, AI platform at Anthropic. Claude 3.7 also features a new "scratchpad" that reveals the model's reasoning process. A similar feature proved popular with the Chinese AI model DeepSeek.

Rokt is the global leader in eCommerce technology, helping companies seize the full potential of every transaction moment to grow revenue and acquire new customers at scale. Live Nation, Groupon, Staples, Lands' End, Fanatics, UrbanStems, GoDaddy, Vistaprint and HelloFresh are among the more than 2,500 leading global businesses and advertisers that are using Rokt's solutions to drive more value through every transaction by offering highly relevant messages to their customers at the moment they are most likely to convert. With our December 2021 Series E raise of USD$325M, Rokt is expanding rapidly and globally – operating in 19 countries across North America, Europe and the Asia-Pacific region with the largest office in NYC and a major R&D hub in Sydney. With annual revenues of more than US$200M and vibrant company culture, Rokt has been listed in'Great Places to Work' in the US and Australia. Our award-winning culture is guided by our five core values: Smart with Humility, Own the Outcomes, Force for Good, Conquer New Frontiers and Enjoy the Ride.

The number of enterprises implementing artificial intelligence (AI) grew 270% in the past four years and tripled in the past year, according to the Gartner, Inc. 2019 CIO Survey. Businesses are continuing to adopt AI at a rapid pace but the amount of available talent is scarce and there is a significant skills gap. Join Mat Leonard, Product Lead for Udacity's School of AI, Varun Ganapathi, Head of AI and Data Engineering at Udacity as they discuss how companies can better understand how to bridge the AI skills gap. About the Speakers Mat Leonard is Product Lead for Udacity's School of Artificial Intelligence. He is a former physicist, research neuroscientist, and data scientist.