This is how AI and GenAI will transform industries

AI is transforming how we work and innovate.

With hundreds of use cases, such as customer segmentation and targeting, fraud detection, quality control or predictive maintenance, organizations must provide the right infrastructure and right environment to make them applicable to their business.

This requires the right data, strategy and a smart, flexible and resilient IT infrastructure to take proof of concept to proof of productivity. Maximizing the value of your data and adopting a data-driven approach will empower your organization’s innovation potential, aiding success in the future.

The impact of GenAI

Generative AI (GenAI) and AI will significantly reshape industries in the future, according to 88% of Latin American IT and business decision makers surveyed for our Dell Technologies Innovation Catalyst Research . Eighty-five percent of them also say they are well positioned competitively and have a solid strategy.

In addition, customer interactions, improving developer productivity and streamlining IT operations have been identified as areas that organizations should turn their GenAI attention to first. C-level and senior management are also working towards applying GenAI to improve their environmental footprint.

.What’s next?

The opportunities presented by GenAI are vast. But they don't come without challenges: organizations face adversity in preparing the workforce, using the right data infrastructure, understanding its limitations and ethical and security concerns.

If organizations can navigate these hurdles, generative AI has the potential to become a powerful ally.

So, to start, there are considerations they should make when evaluating AI projects:

• Understand the organization's overall AI strategy - what you want to achieve or create with AI. Only with a clear understanding of the goals or outcomes can the project's governance model, data strategy, and overall technology investments be aligned.
• There is no one-size-fits-all approach - not every GenAI use case will require the same infrastructure investment, and not every workload will run in the cloud, for example. This reinforces the importance of the first point.
• Approach AI with a holistic focus, beyond just the technology itself - you need to assess people's knowledge and skills so that they are able to identify the challenges and opportunities of use cases. In other words, you need to have a clear overall strategy and communicate it effectively.
• Approach AI openly - AI innovation requires a broad and open ecosystem. Openness provides a level playing field across the technology ecosystem, supporting the creation of new AI breakthroughs through greater access to innovation and flexibility. In fact, open models and technologies have accelerated the journey for many AI early adopters, including Dell.

You don’t need to do it alone

We have become one of our customers’ most trusted partners by focusing on innovation, investments and ecosystems that are tuned to customers’ desired outcomes and create value for all.?

Against that backdrop, we recently launched Dell AI Factory. Simply put, it's an approach to efficiently managing the variety and growing volume of data so that it aligns with an organization's governance practices and business strategies and generates valuable insights.

Our team works with you to define a strategy that meets your specific needs. We then design and implement the entire architecture of your company's AI factory and provide training for your employees.

Finally, we provide ongoing management services to ensure that the AI Factory runs efficiently and effectively, delivering breakthrough results consistently and at scale.

Our deep, broad portfolio and capabilities are built on our ability to meet our customers’ greatest needs. Whether supporting the modern global workforce, using technology to drive efficiency and meet climate goals or simplifying multicloud, we’re dedicated to innovation that inspires business and societal breakthroughs.

Together, we will accelerate the adoption of AI to unlock innovation.