Analytics artificial intelligence maturity model
Conclusion: Artificial intelligence technologies are available in various places such as robotic process automation (RPA), virtual agents and analytics. The purpose of this paper is to provide an AI maturity model in the analytics space. The proposed maturity model can be applied to any type of industry. It provides a roadmap to help improve business performance in the following areas:
- Running the business (RTB): Provide executives with sufficient information to make informed decisions about running the business and staying competitive.
- Growing the business (GTB): Provides information about growing the business in various geographies without changing the current services and products.
- Transforming the business (TTB): Provides information to develop and release new products and services ahead of competitors.
About The Advisor
Dr. Wissam Raffoul is an IBRS advisor who specialises in transforming IT groups into service organisations, with particular expertise in IT Service Management (ITSM), process optimisation, outsourcing and Cloud strategies, enterprise systems management solutions and business-centric IT strategies. Prior to joining IBRS in August 2013, he was General Manager strategic consulting in Dimension Data advising clients on applying technology to improve business performance. Prior to joining Dimension Data, he was a Vice President in Gartner/META Group and issued various research publications covering service delivery processes, centre-of-excellence models, managing outsourcing vendors, benchmarks, maturity models, IT procurement evolution and supply/demand models. In previous positions, he headed HP ITSM consulting Practice in Australia. He also acted as an infrastructure manager, reporting to the CIO at a number of large organisations in government and in the financial and petrochemical industries.