3 minute read
Getting back on the AI track starts with getting back to the basics
TEXT: TIMO MANSIKKA-AHO
There is no doubt about Artificial Intelligence being perhaps the hottest topic in business, no matter what line of industry we are in. Everyone is looking at AI, trying to figure out how to harness all that power and knowledge to work for their advantage.
As Michael Dell, Chairman and CEO for Dell Technologies, puts it: If you are not applying AI across your organization and thinking deeply about re-invention, you’re already behind.
The AI train is running at an increasing speed, and companies are running out of time to get onboard. The best ideas are lost in the mayhem.
Ideas such as creating a solid foundation in the form of digital strategy.
“The possibilities for gaining new forms of value creation and more comprehensive insights from existing data have exploded thanks to artificial intelligence”, Sascha Meier, Head of EMEA Presales Solutions Architects at Dell Technologies, explains. “However, if a company wants to make the most of those possibilities, it needs a corporate vision and the ability to implement strategic and transformative projects.”
On the one hand, resources need to be allocated to developing innovative products and solutions – on the other, to following the innovation work of start-ups within the company’s own line of business. That way, companies can establish an understanding of new available technologies that are entering their line of industry and impacting their markets.
“The real opportunity lies in making AI enterprise-ready, and that can’t happen without making it a strategic priority”, Meier adds. “That is the only way for companies to leverage the power of their own data to supercharge their organizations.”
Bringing company data to large language models
Meier refers to integrated approach which helps benefit from faster implementations of generative AI. This can be achieved by using various pre-trained large language models and tuning them with the company’s own “knowledge”.
The data in a standard AI application such as ChatGPT may either be old – for example, when it comes to exchange rates – or not fulfilling trade-specific requirements – for example, when communicating legal issues. However, when the communication skills of a standard AI can be combined with special soft skills of the company, and used in a secure way, significant synergy effects can be generated.
This Is Where Dell Technologies comes in.
With the Dell Validated Design for Generative AI, Dell Technologies offers infrastructure blueprints for generative AI. The design was developed in collaboration with NVIDIA and enables companies to build a modular, scalable, and secure generative AI platform on-premises.
“We want to help companies to bring their own data to an AI application, and to run the application in a cloud, in a private data center or at the Edge”, Sascha Meier points out. “That is the fastest and most secure way to deploy generative AI solutions in an organization, in a way that brings home the best possible benefits.” |
