This article was originally published by Alvarez and Marsal
Author Bob Ghafouri Managing Director United States News about ChatGPT, Chinchilla, Sparse Lumina base and other AI platforms is flooding the media for good reason. In an unprecedented five-day span, ChatGPT achieved one million users, outpacing previously set records by Netflix (3.5 years), Airbnb (2.5 years), Facebook (10 months), Instagram (2.5 months) and iPhone (74 days). Fuelling momentum, Microsoft announced an additional $10 billion investment in Open AI, parent of ChatGPT, and will make the service available through their Azure cloud platform to enterprise customers. GPT-4, set to release in Q1 2023, touts 100 trillion parameters entirely eclipsing the 175 billion parameters offered by GPT-3. As data quantity, quality and algorithms continue to improve, as they have with GPT-3, the implications and possibilities for the application across an enterprise are astounding. GPT-4 will be the most powerful technology available through low code in history and will fundamentally transform every element of a modern organization including marketing, sales, product development human resources and supply chain. Like Google search in 1999, advanced AI tools like ChatGPT will transform every organization on the planet. ChatGPT can write an article about AI in less than five minutes (see ChatGPT, write an article on the impact of AI on Corporations) and it will be nearly as good as one that an expert could write in five hours. AI is the next transformative force in business. Over the subsequent 24 months, it will fundamentally change customer expectations, bring about new and innovative business models, change how people work and dramatically improve the performance of organizations. What are the practical, near-term applications to business? Here are three, real-life examples of how the transformative power of AI has already been realized. A telecommunications company headquartered on the East Coast is now able to design, test and launch a new personalized customer experience that brings sales at a lower cost per acquisition (CPA) within weeks versus months. That’s a fundamental shift in the customer acquisition equation. A consumer goods company that spends over a billion dollars in media now uses an AI /ML (Machine Learning) approach to optimize media and promotional spend by running thousands of simulations analyzing millions of signals. With surgical precision, they can cut investments without impacting sales. This is an example of an AI solution that can now be implemented within weeks, saving companies up to 20 percent of their media and promotional budget, all while increasing sales. A manufacturing company in the Midwest uses AI-based demand sensing to adjust inventory by recognizing new customer buying frequencies, macro-economic events, promotional and other indirect effects with a lot less data and significant improvement in forecast accuracy. This delivers immediate value by reducing stockouts and increasing inventory turn. And this is all just the beginning. The C-suite leaders A&M speaks with aren’t questioning AI’s potential disruptive impact to profit pools or the fact that it will drive the next wave of transformation in organizations. Instead, they are focused on three things: 1. Developing a game plan: Formulate an AI strategy and roadmap that frames the vision, value delivered and operating model for the transformation. 2. Identifying quick wins: Get self-funded projects like the examples above up and running to quickly deliver value and build momentum across the organization. 3. Building partnerships: Develop the partnerships needed to co-source, not outsource, an AI platform and capabilities, ensuring they build the AI muscle and internet protocol (IP) internally. While the first chapter of digital transformation was focused on digital platforms like Google, Meta and Adobe, the next chapter will be about the Artificial Intelligence transformation that will change how people shop, work, learn, operate organizations and create value. Get ready for an amazing journey! https://www.alvarezandmarsal.com/insights/artificial-intelligence-goes-mainstream-chatgpt-and-microsoft-azure
0 Comments
Google is upgrading up its Bard artificial intelligence chatbot, making it more widely available and giving it a variety of new capabilities.
In March, Google started letting users in the U.S. and the U.K. test Bard, a rival to ChatGPT, the viral chatbot that Microsoft-backed startup OpenAI released in November. Now Google is opening access to the broader public, releasing it in over 180 countries and territories. Last week, Microsoft scrapped the waiting list for its revamped Bing search engine, featuring a chatbot powered in part by OpenAI’s GPT-4 large language model, which is at the heart of ChatGPT. Google has moved Bard to the new PaLM 2 large language model to provide smarter answers to user questions. Models like PaLM 2 and GPT-4 are trained on reams of text data and can come up with human-like responses to questions and commands. Bard will be able to respond to queries in English, Japanese and Korean, and Google will expand availability to the top 40 languages soon, Jack Krawczyk, Bard product lead at Google, said during a media briefing with reporters earlier this week. Google is taking its time in opening up access to Bard because of a commitment to AI responsibility and alignment, and awareness of the limitations of the large language models that power chatbots like Bard and ChatGPT, Krawczyk said. Bard will soon include images in responses, and in the next few months Google will make it easier to prompt the chatbot with images through the Google Lens tool, Krawczyk said. For example, a person can point a smartphone at a drawer full of arts and crafts supplies and ask what can be made with them. Over time, Krawczyk said, Bard will be able to bring information from Google Maps, Google Docs, Google Sheets, and Gmail into conversations. Bard will also be able to show responses with help from third-party tools such as Adobe’s Firefly generative AI service, he said, which can create images inspired by people’s text descriptions. Other new Bard features include a dark theme designed to make it easier on the eyes, and the ability for people to export responses to Gmail, Google Docs, Google’s Colab interactive coding tool and third-party collaborative programming app Replit. Google’s first big feature announcement could make it much easier to write emails — or it could fill your inbox with low-quality computer generated messages. Google will integrate generative AI into Gmail to help expand emails quickly, called “Help Me Write.” Google’s example was filling out a letter to get a full refund from an airline. Google has settings to make the generated text longer or shorter, and it uses context from previous messages to help write the copy. |
AI
Artificial Intelligence (AI) is a rapidly growing field that is transforming the way we live and work. From self-driving cars to smart home devices, AI is becoming an increasingly integral part of our daily lives. At our website, we provide comprehensive information and resources on AI, including the latest news and developments, trends and insights, and ethical and societal implications. Whether you are a business owner, a technology enthusiast, or simply curious about the world of AI, our website is your one-stop destination for all things AI. Explore our content and stay up-to-date on the latest advancements in this exciting and transformative technology. ArchivesCategories |