This hearth chat was originally part of the Acceleration Economy’s Generative AI Digital Summit and will be hosted by Practice Analyst Kieron Allen with Thomas Siebel, Chairman and CEO of C3 AI. During the discussion, Kieron and Siebel will discuss how C3 AI leverages generative AI, Large Language Models (LLM), and the impact of generative AI on the workforce.
C3 AI is one of the Acceleration Economy’s Top 10 AI/Hyperautomation finalists.
To hear practitioner and platform insights on how solutions like ChatGPT will impact the future of work, customer experience, data strategy, and cybersecurity, be sure to get an on-demand pass to the Acceleration Economy’s Generative AI Digital Summit. Please register for
highlight
00:27 — Kieron introduces Siebel Systems and Siebel, founder of C3 AI, an industry pioneer and provider of AI technology for over a decade. He asked his Siebel for his thoughts on the rise of generative AI and why related tools such as ChatGPT have become so popular.
00:52 — When C3 AI was founded in 2009, the company believed artificial intelligence would become “a very large addressable market.” Since then, C3 AI has provided enterprise AI applications and tools. He further discussed the role enterprise AI plays in addressing business processes and technology, and also mentioned his LLM, a new and recent tool the company has been working on over the past few years.
03:02 — Generative AI “really raised interest in AI,” Siebel suggests. “I don’t think there’s any doubt in anyone’s mind that this is a huge addressable market and it’s growing very fast. Even if you think about it, it’s bigger than that.” With the rise of generative AI, the “argument about AI” has been taken from the desks of CIOs and Chief Digital Officers, leaving every CEO, business and government leader It is now placed on the “tip of the mouth”.
03:57 — How are C3 AI customers using or testing generative AI? Currently, C3 AI is using generative AI in very low-profile applications, Sibel explains. He said he uses LLM in conjunction with supervised learning, unsupervised learning, deep learning, neural networks, and reinforcement learning work, and combines it with human-computer interaction models in web browsers. As such, C3 AI is leveraging generative AI to fundamentally change the nature of human-computer interaction models for complex enterprise her applications.
05:08 — Sibel explains how C3 AI applies generative AI and LLM in the context of business. Enterprise applications, CRM systems, manufacturing and supply chain systems are extremely complex. By leveraging LLM, business users can “search corpora of information, not the Internet or extranets, and make all information instantly available to decision makers such as CEOs, CIOs, and CTOs.” can.
06:50 — Kieron returns to the generative AI use case related to chat. He asked his Siebel how long this would be useful in the future and what it would take to make it possible.
07:27 — Now, Siebel says, there’s about a 60% chance that you’ll have eighth-grade conversational ability. Almost nothing, but billions of dollars are spent each year advancing this technology. This is a very important development and one that will help. But it’s also scary. When it comes to news, “it will be absolutely impossible to distinguish between real news and fake news.” And no one will be able to get to the root cause of how the chat reaches such conclusions. It cannot be tracked or verified. He says it will be used by various media outlets and by bad guys trying to manipulate the media.
09:23 — As for enterprise use cases for generative AI, Siebel said the norm today is for top executives to ask leaders a question and get an answer in two to four weeks. In contrast, with generative AI, utility CEOs can ask, “What are the main risks to the grid infrastructure?” And it will tell you on the fly what the major risks are. Similar results incorporating details from the entire information corpus are possible for questions on diversity goals, CO2 emissions, employee retention, and other strategic topics. And with LLM, it can be delivered in seconds.
11:56 — Siebel says that like every major technological innovation he’s seen (printing presses, steam engines, production lines), generative AI threatens jobs. In some customer service jobs, the chat engine may answer your question more accurately than the customer service representative. Therefore, retraining is necessary. But for every job that disappears, more jobs are created. “So I suspect that for each job that we remove here, he will create 10 jobs, just like in any other technology.”
13:40 — Leaders must decide whether employees need to be recruited or retrained. “I believe that enlightened leaders retrain their employees … and that unenlightened leaders replace their employees.”
