Businesses are missing the understanding and data infrastructures to create successful AI integration, a recent report has revealed today.
Global technology services and digital transformation company, Mindtree, conducted a survey of 650 IT leaders from key business markets across the world.
The results of the survey found that the majority of businesses are doing well in their move towards adopting more AI practices. However, it was found that many companies are actually lacking the knowledge and infrastructures of the use cases that it takes to make AI a success on a sustainable basis.
The results of the survey found that 85% of IT leaders do have a data strategy in place with 77% having implemented some sort of AI related tech at work already. Adding to this, 31% say they have already seen a positive change in their business thanks to using AI efforts.
Greater focus is needed on use cases that deliver business value
Mindtree believes that firms can be doing more to gain real business value and that there is still a high need for use cases to demonstrate business value.
16% of enterprises globally focus on a pain point and then define a use case, with 13% of smaller organisations being less likely to focus on the business impact compared with larger firms (18%), the survey revealed.
Many organisations are experimenting with AI, but not all have found the formula to deploy at scale and add significant value.
The areas gaining the most value from AI are sales (35%) and marketing (32%). This is because artificial intelligence speeds up better delivery to customers.
Machine learning and chatbots were found to be the most popular type of AI used globally with 34% of companies using them both equally. This is closely followed by 28% of firms using robotics.
Success with AI means merging rapid experimentation, organisational agility, and skills
The global tech company says that in order for enterprises to succeed with using AI, they need to experiment with different use cases and technologies using agile and rapid innovation methodologies. It added that places need to modernise their data infrastructure, architectures, and systems, along with an overarching data strategy and robust data governance processes
“The potential of AI to disrupt, transform and rebuild businesses is clearly felt in the C-Suite, even if it is not yet fully understood,” said Suman Nambiar, Head of Strategy, Partners and Offering for Digital at Mindtree.
Nambiar continued: “Business and technology leaders are increasingly expected to prove business value, unlock the power of their data, and define their AI strategy and roadmap. To thrive in the Digital Age, businesses must be agile and unafraid of failure. They must also constantly refine their understanding of how AI will give them a competitive edge and deliver real and measurable business value to maximize their investment in these disruptive and powerful technologies.”