The rise of the “Intelligent Enterprise” comes as the dawn era of AI and ML adoptions are increasing. Gartner’s 2019 CIO Survey (2019 CIO Survey: CIOs Have Awoken to the Importance of AI) on AI adoption revealed an increase of 270% in interest since 2015. The survey indicates that only 9% of organizations, across all industries, have no interested in AI while 91% of the rest are either planning or in the process of adopting AI to support their decision making process through one or more technology. To further exploit the business software market, the “Intelligent” hype has become an obtuse mantra among vendors as the key driver to adopt their software platform(s).
If you follow an ERP vendor centric view, completing the journey of digital transformation by adopting the “Intelligent ERP” roadmap to reach the “Intelligent Enterprise” state required the support of various SaaS, PaaS, iPaaS, and Cloud analytics technologies. Rolling out AL and ML through them can accelerate enterprises to push further into the era of autonomous business process automation and system self-driven decision making progress.
On the contrary, it is unrealistic to think companies can achieve the “Intelligent Enterprise” state by relying on technology alone. “Intelligent Enterprise” should be the state where companies seek to achieve an adaptive and automated enterprise management approach that applies event driven architecture and continuous advancement in technology to address and improve business performance and opportunities. There are critical elements that provide the intelligent to the business outside of technology such as the human ability to feel, leverage sympathy react to the change of the environment, and the interaction required to influence our own view of the world.
My real estate instructor (yes from a previous life) once told a tale of two salesmen from two separate companies seeking to expand their shoes business in Africa. The first one landed and after quick tour around the country side, called to inform his CEO with the conclusion that there was no demand for shoes here since everyone was walking barefoot. The second one arrived and also took a quick tour. Full with excitement, called his CEO and concluded that their business will do so well here because almost everyone needs shoes. Both were correct in principle but the one that acknowledged the up side vs. the down side made a huge different. Do you really trust all AIs to only show the up side…in principle?