Putting AI to Work

The amount of data is exploding. The value of that data is also increasing, especially when we activate it with powerful innovations like Artificial Intelligence. AI, like the PC, the internet and smartphones, will transform industries and how we live and work. If you’re curious and like to learn, there has never been a better time to be alive, to make yourself and your organization smarter and more productive.

You can also quickly find the limitations of these models. If you don’t know something about the topic of your query, you can be led astray in a hurry, and we have to ensure that confidential and proprietary data is protected. These are real dangers, and we have to manage these tools thoughtfully and responsibly.

But I’m more of an optimist. Throughout human history, we’ve successfully managed the risk of potentially existential technologies. And throughout history, technology innovation has driven human progress. From health to education to sustainability to prosperity, our largest measures of progress are bound to our innovations.

Of course, we’re also finding that Generative AI models get better with more data and processing power. IDC estimates that within the next two years, 88% of servers for AI workloads deployed at the edge will be used for inferencing. To support this, we need new architectures that operate at orders of magnitude greater speed and efficiency. We are hard at work with our partners, innovating this next generation of AI-first technology, and customers are already standing up and training their Generative-AI workloads.

There will be a significant proliferation of open and closed-source Large Language Models for specialized and general uses. They will be distributed globally. Enterprises will have many of their own private LLMs to unleash the power of their secure data.

A bank, for example, wants to calculate credit risk, enhance customer service and improve fraud detection, which are more straightforward problems to solve. It does not need its data to create beautiful artistic images, write poems, or know all sorts of other things. Enterprises will be able to train far simpler AI models on their specific confidential data less expensively and securely, driving breakthroughs in productivity and efficiency.

The real opportunity is to reimagine your organization and what you can become given the superpowers AI unleashes. If you’re not applying AI across your organization and thinking deeply about reinvention, you’re already behind.