From Mckinsey.com
The economic potential of generative AI: The next productivity frontier
June 14, 2023, | Report
Generative AI is poised to unleash the next wave of productivity. We take a first look at where business value could accrue and the potential impacts on the workforce.
AI has permeated our lives incrementally, through everything from the tech powering our smartphones to autonomous-driving features on cars to the tools retailers use to surprise and delight consumers. As a result, its progress has been almost imperceptible. Clear milestones, such as when AlphaGo, an AI-based program developed by DeepMind, defeated a world champion Go player in 2016, were celebrated but then quickly faded from the public’s consciousness.
Generative AI applications such as ChatGPT, GitHub Copilot, Stable Diffusion, and others have captured the imagination of people around the world in a way AlphaGo did not, thanks to their broad utility—almost anyone can use them to communicate and create—and preternatural ability to have a conversation with a user. The latest generative AI applications can perform a range of routine tasks, such as the reorganization and classification of data. But it is their ability to write text, compose music, and create digital art that has garnered headlines and persuaded consumers and households to experiment on their own. As a result, a broader set of stakeholders are grappling with generative AI’s impact on business and society but without much context to help them make sense of it.
The speed at which generative AI technology is developing isn’t making this task any easier. ChatGPT was released in November 2022. Four months later, OpenAI released a new large language model, or LLM, called GPT-4 with markedly improved....
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From IBM:
IBM watsonx is now available to help meet enterprises' AI for business needs.
By Kareem Yusuf, Ph.D. | Senior Vice President of Product Management and Growth, IBM Software
July 11, 2023
Today we are announcing that we have begun rolling out IBM watsonx – our enterprise-ready AI and data platform. Previewed at IBM THINK in May, watsonx comprises three products to help organizations accelerate and scale AI – the watsonx.ai studio for new foundation models, generative AI and machine learning (now available); the watsonx.data fit-for-purpose data store, built on an open lakehouse architecture (now available); and the watsonx.governance toolkit to help enable AI workflows to be built with responsibility, transparency and explainability (coming later this year).
Innovating with clients and partners
Watsonx allows clients and partners to specialize and deploy models for various enterprise use cases or build their own. To date, the platform has been shaped by more than 150 users across industries – from telco to banking – participating in the beta and tech preview programs. See more than 40 logos and some early testimonials shared here..
Businesses are excited about the prospect of tapping foundation models and machine learning in one place, with their own data, to accelerate generative AI workloads.
“IBM's launch of watsonx was an awakening,” said Sean Im, Samsung SDS America, “and it has inspired us to explore the immense potential of...
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From Harvard Business Review:
Build a Winning AI Strategy for Your Business
by Christopher Young
July 14, 2023
Recently, like millions of people, I used a ride-sharing app on my smartphone. It was pretty uneventful and not something I gave much thought. Ride-sharing is simple and convenient, and it’s now an $80+ billion industry. But it wasn’t that long ago that it didn’t even exist. We had cars, we had riders, and we had drivers; but to work, ride-sharing needed smartphones. When they arrived, so did an enormous variety of conveniences and new experiences — some that became entire industries — that we never could have imagined.