Path to successful AI adoption

Recent advances in AI have created an unprecedented competitive edge for businesses. As maturity is growing in the adoption landscape, industries are taking advantage of these new innovations that are delivering a wealth of business support capabilities.

Yet, recent studies indicate that many companies in APAC still lack the skill set, tools and resources to make AI work. So, it’s imperative for senior executives to focus on mobilising the expertise to deploy this powerful tool.

This IDC InfoBrief is brought to you by SAS, the global leader in analytics. It is designed for business leaders, interested in how they can best map out the path to successful AI adoption. It also discusses the key elements that should be covered when considering an AI initiative. Those include:

               • Establishing an effective data strategy is critical for                     AI to work best;

               • Stay open to both open source and commercial                          approaches to incorporate the best tools, code base                  and skills for optimal business outcomes;

               • Assessing potential implications to existing business                  processes, functions and roles; and

               • Committing to fundamentally different QA and                             deployment models, skill sets and service levels                        than traditional IT DevOps practices.

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