The digital age demands constant evolution, and businesses are increasingly turning to cloud computing and Artificial Intelligence (AI) to gain a competitive edge. But integrating these powerful technologies can be a complex journey.
DEMYSTIFYING THE CLOUD-AI INTEGRATION CHALLENGE
While often seen as a seamless pairing, cloud and AI present a unique set of integration hurdles. Adya clarifies, "The cloud is fundamental to AI, but managing the data that fuels AI is a distinct challenge."
The crux of the issue lies in data management. AI applications thrive on massive datasets that require efficient movement and storage. Companies, understandably focused on the AI aspect, can overlook the underlying cloud infrastructure. This can lead to inefficiencies and higher costs as essential data management practices like backup, encryption, and de-duplication fall by the wayside.
INFOSYS COBALT: A TAILORED APPROACH FOR INDUSTRY TRANSFORMATION
Infosys Cobalt steps in to bridge this gap. It goes beyond simply migrating businesses to the cloud and delves into optimizing the underlying infrastructure for AI workloads. Here's how Infosys Cobalt tackles this challenge:
Comprehensive Data Management: Infosys Cobalt ensures efficient data handling practices like backup, encryption, and de-duplication - all optimized for cost-effectiveness.
• Industry-Specific Cloud Solutions: Recognizing the unique needs of each industry, Infosys Cobalt offers customized cloud implementations. These "Industry Cloud" solutions cater to specific challenges and leverage the power of AI in a targeted manner.
REAL-WORLD EXAMPLES: INDUSTRY TRANSFORMATION POWERED BY
AI Let's explore a couple of examples showcasing how Infosys Cobalt tailors solutions for industry transformation:
This story is from the July 2024 edition of DataQuest.
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This story is from the July 2024 edition of DataQuest.
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