Covering Disruptive Technology Powering Business in The Digital Age

Written by: Mohammad Al Amin, Journalist, AOPG

Recently, Dell Technologies held an APJ AI Media Roundtable to discuss Dell Technologies’ take on emerging generative AI technology and the opportunities it can create. Leading the discussion were John Roese, Chief Technology Officer of Dell Technologies, and Peter Marrs, President for Asia Pacific and Japan at Dell Technologies.

Roese initiated the discussion by providing a brief overview of AI and delving into current concerns, which encompass issues like data legitimacy and copyright. According to Roese, generative AI has huge transformative power like how ERP and CRM transformed business operations 20 years ago but on a much larger scale, affecting both the public and enterprises. He believes that generative AI technology is here to stay and will become a tool for decreasing the time required to produce results, thus increasing business operational efficiency and productivity.

Given its transformative potential, generative AI technology is anticipated to be even more disruptive than previous technological innovations during their initial emergence.

Generative AI Accelerating Ecosystem

Besides the public generative AI systems, there are also domain-specific AI systems used within enterprises to enhance various aspects of their business, from security to productivity. This is possible because generative AI technology is very diverse, it’s not just a single product with specific functionalities. Generative AI can be trained and fine-tuned to meet or fill a certain role. For example, as a chatbot that can provide accurate and relevant information for queries, eliminating wait time and allowing enterprises to divert their capital expenditure to improve other aspects of their business operation.

Thanks to the rapid research and development of generative AI technology, there are several ways to train and fine-tune it. For example, enterprises may use a small set of data from historical incidents or transaction data to build a generative AI model that meets or fulfils their business needs.

In addition to that, generative AI technology benefits from a robust open-source community that offers AI systems and models, companies providing AI-as-a-Service, and ecosystems designed to simplify the discovery of AI models. This diversity of options makes generative AI more accessible to both the public and enterprises.

The Four Pillars of Dell Technologies’ AI Strategy

Roese proceeded to explain that Dell Technologies has been actively implementing AI strategies for the past seven years, each structured around four distinct pillars, tailored to address specific AI-related scenarios and use cases. The four pillars, as described and explained by Roese are as follows:

• AI-In: Every product developed by Dell Technologies will incorporate some form of machine intelligence. This integration encompasses the combination of hardware, software, and intelligence to efficiently perform tasks like power management.
• AI-On: Dell Technologies foresaw that AI systems would become increasingly complex and add significant workloads. In an effort to streamline and enhance efficiency, Dell Technologies introduced a system to optimise AI technology, the new Dell 9000 Series server developed in collaboration with Nvidia.
• AI-For: To enhance its capabilities and internal success, Dell Technologies developed multiple AI-based systems to manage projects and supply chains.
• AI-With: Dell Technologies realised that adopting AI technology could be challenging. Therefore, they developed an AI ecosystem that enables them to evolve from being just a technology provider to becoming strategic partners for their customers.

Roese emphasised that Dell Technologies’ objective is not to create a public, open AI system. Instead, their aim is to develop private generative AI systems that empower enterprises to effectively leverage generative AI technology within their business operations. These systems do not necessarily have to be in their data centres; they can be hosted in co-locations or delivered to them as servers. In short, it can easily be consumed by their customers whenever they want to apply generative AI to their private and confidential business data.

Generative AI is Changing the Market and Trends

After his session, Roese passed the discussion to Marrs, who touched on the fact that generative AI is sending shockwaves, causing market trends to shift toward generative AI systems. According to Marrs, Dell Technologies’ financial reports show their customers are expected to continue spending and investing in Dell Technologies’ generative AI systems, with this spending and investment projected to double in the next couple of years. Marrs also added that generative AI is predicted to create significant opportunities and growth areas for the Asia Pacific and globally.

He then shared generative AI use cases in the APJ region, including digital advertising companies and multinational manufacturing conglomerates. These organisations use generative AI systems to enhance efficiency and productivity. For instance, the digital advertising company employs generative AI systems to bolster its digital advertising capabilities, enabling it to stay current with industry trends and maintain competitiveness in the digital advertising sector.

Marrs stated that as one of the market leaders, Dell Technologies remains committed to delivering top-tier generative AI solutions to its customers. Their objective is to assist businesses in harnessing the disruptive potential of generative AI technology, enabling them to gain a competitive edge in the market.

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