Preparing for and implementing AI projects will be a multi-year journey. As technology continues to evolve at a rapid pace, the CIO’s role is no longer restricted to merely saving money and improving costs. They are now increasingly expected to innovate and contribute to the business revenue stream. CIOs must take the lead and drive the enterprise AI agenda. So, where should they start? In this article at Analytics Insight, Kamalika Some provides a guide for CIOs who plan to implement artificial intelligence (AI) in modern enterprises.
How to Implement AI?
Focus on Business Outcomes, Not Technology
For CIOs aiming to drive growth for their companies, artificial intelligence (AI) platforms are an excellent starting point. AI isn’t one technology but a wide array of tools, including an abundance of new data sources and advancements in hardware. Many progressive CIOs are selecting AI platform to achieve competitive advantage and generate new revenue streams by maximizing asset performance, efficiency, and reliability.
Build Business Case for Further AI Investments
CIOs must regularly identify new business opportunities and find new investments. Proving the positive impact of AI on the business will drive improved investment. With accurate tracking, the business case of AI investments will be impossible to ignore. Today, IT organizations are using natural language processing to automate user requests for IT services. Besides, IT service managers are gaining a richer understanding of their process and infrastructure by applying machine learning to ITSM data.
Future of AI in Enterprise
“According to research estimates, the average number of AI projects per company will grow to 35, a 250% increase over the average of 10 projects projected for 2020,” says Kamalika. This indicates that AI deployments have a promising way ahead. One of the most crucial factors indicated by data scientists is that CIOs must align AI deployment closely with the enterprise’s business goals.
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