According to Infosys chairman Nandan Nilekani, GenAI offers a great deal of promise to improve productivity and make life easier while reducing the risks connected with this quickly developing technology.
In the company’s annual report, Nilekani stated that corporations must create their apps in compliance with the various rules that govern AI, since regulations are already in place in many countries.
“Given that the leaderboard of technologies will be changing at a bewildering pace, enterprises will have to ‘future proof’ their AI infrastructure. This means designing their AI systems in a way that allows for easy adaptation to new models and technologies, avoiding the risk of being trapped in a technological dead end,” Nilekani said.
“Besides, many of the doomsday prophets pleading for extensive AI regulation have revealed themselves to be just protectionists who want to limit the fruits of GenAI to a few companies and investors,” he said.
A different AI
According to the Infosys co-founder, consumer AI will differ from enterprise AI. The former can be packaged to simplify and increase productivity.
“Unlike the smartphone that brought the magic of apps and touchscreen to billions, consumer AI will push the envelope of usability, convenience, and accessibility for every “no”,” said Nilekani in his letter.
However, there would be a problem with enterprise AI since businesses would need to organise their data inside of their systems so that AI could use it. This can entail controlling data privacy, guaranteeing data quality, and reorganising data formats.
According to Nilekani, ensuring true responses and insights from the data output would also need management, which may require putting in place strong data governance and validation procedures.
Focus on Compliance
AI is now a dominant enterprise technology, and the market for enterprise AI has grown significantly. However, enterprises require more complicated AI-led solutions.
These could include AI-powered ERP software that can streamline tasks and reduce expenses and manual errors, or AI systems that automate mundane tasks, freeing employees and performing root-cause analysis for maintenance problems.
AI has already shaped the ERP landscape significantly, and the ripples can be seen in these types of solutions.
Similar to B2C, the next wave of business AI software makes workers’ lives easier by increasing the orchestration of the knowledge worker labour force.
Instead of you pulling data and looking for it in a bunch of Excel reports, Salesforce reports or websites, it’s being pushed in prepackaged personalised, actionable insights.
Here, everything workers need to know to complete an action is right there, in one single channel through which workers are most likely to engage.
