Today’s artificial intelligence (AI) landscape is more multifaceted than ever, offering solutions from a range of technologies tailored to diverse business needs. Generative AI tools like ChatGPT® and DALL-E have captured the most attention, but traditional predictive machine learning (ML) and deep learning (DL) algorithms are the tried-and-true AI workhorses that many businesses count on to deliver business value. While artificial general intelligence (AGI) remains an enticing future prospect, there are traditional and generative AI solutions you can implement today to accelerate innovation, increase customer engagement, improve user productivity, and boost operational efficiency.
In this report, commissioned by Intel, Prowess Consulting examines how you can successfully deploy a best-practice AI implementation for your organization. In the face of such a dynamic market, our key recommendation is to select solutions from trusted AI partners who are aligned with open and industry standards. This is because an open AI platform facilitates flexible hardware configurations and seamless code deployment. Whenever possible, use prebuilt AI frameworks and libraries that are verified to run optimally on your hardware.
Here are a few of the benefits we believe an ideal AI solution should deliver:
• Accelerate innovation
• Modernize the data center
• Span cloud, core, and edge environments
The usages presented in this report illustrate AI’s impact across multiple domains, from fraud detection and customer recommendations to supply chain optimization and confidential database searches. The server configurations are built on AI-accelerated hardware and open-/industry-standard software from the Intel® AI portfolio.