AI: The Jack of All Trades? | The Axis of Information Technology | 1st Edition
Artificial intelligence and machine learning have been integral to industries for years, automating large-scale manual tasks and enhancing algorithms to capture user behavior, among other things. Now, with the advent and implementation of generative AI, organizations are now ambitiously rethinking their workflows and outcomes. However, a common perception about gen AI is that it will somehow be applicable in every industry. The pressing question is - can gen AI ever dominate a particular industry end-to-end??
In this inaugural edition of The Axis of Information Technology, let’s decode the extent of business transformation through AI.?
Rakesh Jayaprakash, chief analytics evangelist at ManageEngine, explains why traditional data analytics tools do not provide accurate insights. ManageEngine takes a different approach by training its decision intelligence platform on a specific dataset - to maintain the context.?
The technology powering chatbots could increase electronic trash by a thousand times by the end of the decade, warn researchers. The researchers from the Cambridge University and the Chinese Academy of Sciences suggest mitigation methods that could cut the e-waste by up to 86%.?
While expectations loom high for AI and generative AI, scaling AI projects remains a major challenge for organizations, with the failure rate reaching up to 80%. Unclear business value, poor data quality and escalating project costs are some reasons why AI projects fail.?
At the Oct. 24 Nvidia Summit in Mumbai, India, Nvidia Founder and CEO Jensen Huang shared strategies to help India transition from software services to AI intelligence. Reliance's Mukesh Ambani announced plans to develop Hindi language models and make AI accessible to 1.4 billion Indians.?
While 94% of CIOs embrace AI and more than half expect widespread adoption, only 14% expect to be AI-ready by 2025, the recent MIT Technology Review report showed. The report underscored the gap between AI ambitions and execution as companies such as P&G and Johnson & Johnson navigate this shift.?
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