AI Best Practices For Business Decision Makers And Practitioners
Artificial intelligence (AI) is a branch of computer science that uses algorithms (programmatic instructions) to process inputs and deliver outputs that mimic human abilities such as cognition, natural language understanding, speech and image understanding, common sense reasoning, knowledge representation. Machine learning (ML) and deep learning (DL), the subfields of AI driving innovation and headlines, have introduced improvements to pattern recognition thereby supercharging tasks such as classification, prediction, and clustering.
With companies in every industry and geography leveraging AI, or at least wanting to, it has never been more important for technical practitioners as well as non-technical decision makers to understand how AI can benefit their business as well as the associated risks of implementing AI into the enterprise. It is critical for key stakeholders to articulate the business value of utilizing AI for solving their business problems, and to understand the associated costs and benefits of deploying AI-infused applications, the time to value of implementing AI and what success will look like over time.
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