AI+Data+Trust – The Alliance Driving the Future of Machine Learning for Enterprises
For years, artificial intelligence (AI) has inched into enterprise systems, carving a space for itself, multiplying its use cases. The capability to utilize intelligent systems has become a market differentiator. However, the definition of successful AI implementation is changing. The focus has shifted from merely assessing the performance of AI models to determining how well it can establish trust among employees, customers, decision-makers, and other stakeholders. It is no longer about how well an AI model works but how trustworthy its outcomes are.
It is Simple, Really! AI Works Only as Well as the Data It Feeds on
Suppose you are a brand protection company. You have developed an AI application that can identify fake websites, social media accounts, and eCommerce pages built in the name of any brand to help businesses stop brand abuse. Your clients rely on this AI tool to keep themselves apprised of any shady activity going on in the name of their brands. What do you imagine will happen if even a single report generated by that AI contains incorrect information?
To uphold the integrity of the promise you made to the market and to your clients, your AI system must be flawless. That can only happen when you ensure that the data it collects from the web and bases its reports on is flawless.
In this case, all you have to do is ensure that the data scraped by AI undergoes cleaning, validation, and enrichment. Do some manual web research where needed to fill in the gaps. And that’s it! With a bit of careful data management, your AI system can continue to help brands tackle counterfeits and copyright abuse.
Apply this example to any AI system; the results remain the same. At the core of a trustworthy AI lies trustworthy data.
Reality Check on the Hype around AI: The Importance of Trustworthy Data
The build-up around AI is not without its reasons. Generative artificial intelligence has impacted annual revenue figures across most industries in 2023, from high-tech, retail, and hospitality to logistics, manufacturing, energy, and banking. Markets are experiencing unprecedented demand around data centers (the heart of the AI revolution). Nvidia is leading the charge of this AI boom, with a valuation of two trillion U.S. dollars in February 2024.
The SunTec India Blog
Brought to you by the Marketing & Communications Team at SunTec India. We love sharing interesting stories and informed opinions about data, eCommerce, digital marketing and analytics, app development and other technological advancements.