Generative AI will revolutionize business operations

Generative artificial intelligence is evolving beyond just a promising tool. It has become an essential asset. gen AI has already shown great value in enhancing business operations due to its superior ability to understand context, transform it, and generate new content.

Saurabh Mohanty (pictured, right), partner and principal at PricewaterhouseCoopers International, says that while companies have been successful in executing use cases with artificial intelligence solutions, value-based solutions across the enterprise They say they are having trouble scaling up. The focus should be on the actual business. Focus on the value of technology implementation rather than getting caught up in the hype and distractions that don't improve your organization.

“I think companies are successfully executing use cases, and these use cases show that there is a lot of potential in terms of what you can do with generative AI and large-scale language models.” said Mohanty. “Google's Vertex AI model garden has great models, and enterprises are incorporating them into multiple solutions. But what enterprises are currently struggling with is how to leverage these use cases and… It's about how do you really scale it into a value-based solution that you can drive across the enterprise?”

Mohanty and PwC partner Scott Petrie (left) meet theCUBE analyst Savannah Peterson and Rob Rob at Google Cloud Next 2024 during an exclusive broadcast on theCUBE, SiliconANGLE Media's live streaming studio. I had a conversation with Mr. Strechai. They discussed creating real business value through AI solutions and developing an AI factory to centralize and scale AI solutions for clients. (*Disclosure below.)

Scale artificial intelligence for business success

Mohanty said consultants advise clients to have robust governance models in place to balance risk and ROI, and proactively enable the use of technology without being irresponsible.

The regulatory environment is changing and it is important to consider how implementing a solution will impact customer service and governance, Petrie explained. Regulated companies need to be aware of the regulatory risks associated with their actions and consider responsible and ethical behavior using powerful technology, even before government regulations are implemented.

“We are keenly aware of the regulatory risks associated with what we do. We advise clients in a variety of ways on how to manage the regulatory environment,” Petrie said. Ta. “Governments are basically very behind on what's actually happening and what's actually possible. Some parts of responsible AI and ethical AI will wait for governments to regulate. Instead of thinking, what is the right answer? What is the responsible behavior when dealing with this kind of powerful technology?”

Organizations have varying levels of receptivity to new technologies, with a focus on governance, usage, AI factory development, and advice on reinventing business models. At the same time, Mohanty said centralizing governance and data strategy is essential before democratizing access to data and tools.

“Another thing I would like to add to this is that AI has been around for years. Just because generative AI is being used by people who don't have a data science background; It just created hype,” Mohanty said. “I think companies need to think about governance, risk, and responsibility, whether it’s a generative AI solution, a machine learning solution, or a deep learning solution.”

Here's the full video interview, part of SiliconANGLE and theCUBE Research's coverage of Google Cloud Next 2024:

(*Disclosure: PricewaterhouseCoopers International Ltd. sponsors this segment on theCUBE. Neither PricewaterhouseCoopers International nor any other sponsor has editorial control over the content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE