Evaluate model options for enterprise AI use cases
Before jumping on the AI bandwagon, enterprises must evaluate the potential use cases. Review common AI types, tool options and best practices.
What are the key types of AI for enterprises?
Enterprises should familiarize themselves with four key types of AI: machine learning (ML), deep learning, simple AI, and generative AI. ML is the most common form, using algorithms to make predictions based on data. Deep learning, a subset of ML, employs complex neural networks for analysis. Simple AI automates basic tasks through rule-based systems, while generative AI, often based on deep learning, can create content like text and images.
How can enterprises choose the right AI tools?
When selecting AI tools, enterprises should evaluate their security, cost, infrastructure, and network needs. Public generative AI tools like ChatGPT can assist with content creation but should be reviewed by experienced personnel. For business analytics, private generative AI tools or deep learning features integrated into analytics software are recommended. It's also crucial to test any tools thoroughly before deployment, especially for real-time applications.
What challenges do enterprises face in developing custom AI models?
Developing custom AI models presents several challenges, including data management, infrastructure requirements, and the need for skilled personnel. Many enterprises may struggle with the technical expertise necessary to utilize open-source tools effectively. As the landscape of AI evolves, organizations should stay informed about new capabilities and consider specialized tools that can help them navigate these challenges.

Evaluate model options for enterprise AI use cases
published by Reliance Infosystems
Reliance Infosystems Group is a Microsoft Advanced Specialization Partner with Solutions Partner designations in Modern Work, Digital & App Innovation, Infrastructure and Data and AI. The group is championing business transformation for major verticals Across MEA, UK, US and Canada. We are focused on helping enterprise and midsize businesses transform their core operations to become agile, scalable and simplified by leveraging the expansive technology innovations, speed, reduced cost and unparallel flexibility resident in Microsoft Cloud. Our future-geared approach to Microsoft Cloud practices won us both the 2017, 2021 and currently 2024 Microsoft Partner of the Year for Nigeria and Botswana