While it’s commendable that we’re making headway in fusing AI into our systems, an observation from the research implies that we might be neglecting the significance of putting our data operations first. A surprising 47% confessed that their corporations are barely data-driven, which makes us question the success of integrating AI without a robust data backbone. It’s like trying to build a house on sand, isn’t it? Without a sturdy base
In a nutshell, Kshitij Jain, the EMEA Practice Head at EXL, is hinting at the double-edged sword nature of Artificial Intelligence (AI). On one hand, it’s glaringly obvious that top players in various industries are wowed by the immense potential of AI. They see it as a revolutionary tool that can transform their business operations. On the other hand, there’s a dangerous pitfall. The external push to adopt AI hastily can result in a reckless spending spree on AI without proper planning or understanding.
The study further unearthed a fascinating subset known as the “Strivers”, who made up 45% of the participants. These folks are deploying AI in a more concentrated manner, across approximately four domains. This strategic use of AI has enabled them to effectively wield the technology to trim down costs, remarkably surpassing the performance of early AI adopters by a striking 23 percent. Their method showcases the benefits of a more targeted application of
In a lighter vein, you could say that Artificial Intelligence (AI) is becoming the cool kid on the block everyone wants to invest in, with more than half of those surveyed hopping on the bandwagon due to the progress in generative AI. However, it’s not all rainbows and butterflies. A significant 70
In simpler terms, deploying AI effectively requires a well-planned, systematic strategy. This includes setting up the right data infrastructure, trialing potential solutions, and educating staff. Jain sums it up by saying that for AI to be successfully integrated into businesses, it’s pivotal that company leaders not only understand but also believe in the potential of AI. They need to ensure that any money invested into AI is utilized efficiently.
