Enterprise AI is gaining momentum and businesses are re-evaluating their architecture to accommodate the integration of these technologies. The initial hype surrounding AI in public cloud has given way to increased investment in open ecosystems and smaller models that can run at the edge of a business’s network. These edge applications range from chatbots stored on laptops for offline use to AI managing data from sensors in smart manufacturing.
During a live conversation with Dermot O’Connell, senior vice president for EMEA services at Dell Technologies, Rory delved into the evolving landscape of enterprise AI adoption and strategies for businesses to prepare themselves for it. O’Connell highlighted the importance of running applications at the edge and using containers to support modern applications in a modular way at the location where data, sensors or cameras are situated. This approach minimizes latency by avoiding constant data transfer back and forth, enabling real-time operations.
Despite being in the early stages of deployment, many businesses are starting with projects such as avatars, chatbots and coding engines, indicating a relatively basic level of engagement with the technology. To prepare for AI adoption, O’Connell emphasized taking small, manageable steps that do not compromise data privacy or security. He suggested considering entrance points of AI for employees and customers as a way to gradually introduce the technology into the business ecosystem. By focusing on manageable chunks and identifying non-sensitive data, businesses can initiate discussions on data governance and expand their AI initiatives gradually.
To stay updated on the latest news, industry insights, featured resources and more regarding AI and cybersecurity in 2024, subscribe to receive a free report on AI cybercrime and security.
:quality(75)/cloudfront-us-east-1.images.arcpublishing.com/elcomercio/CSDWS3TIMBEWHCX7NFW3HIGKME.jpg)