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In a world where innovation knows no limits, the emergence of generative AI proves the limitless potential of technology. At the intersection of machine learning and creativity, Generative AI transcends traditional boundaries and paves the way for breakthroughs across a variety of fields. Understand how AI is worth introducing into your business or organization and how it doesn’t put your organization at risk.
In this article, industry experts share their thoughts on how to ensure the data provided by AI is accurate and high quality. They were speaking at Entrepreneur India’s flagship event Tech & Innovation Summit 2024 held on March 8 and 9 in Bangalore.
Reinforcing human superiority
According to Siddhesh Naik, Country Leader, Data, AI & Automation Software, Technology Sales, IBM India and South Asia, AI is not meant to replace humans, but rather enhances their advantages. “Yes, there is a significant amount of reskilling being introduced as we move forward on this journey, but it is about how we enhance human intelligence and take it to the next level to improve productivity and consumer “Does it enhance the experience and so on,” he said. .
He believes that AI brings the ability to do more work in a very short amount of time with minimal data. But we also acknowledge that AI poses an equally large amount of risk. “The basis of the model is trained on open domain data. Once it comes into my organization, how do I know what elements of training are coming and how to react? I don’t know. That’s where the whole governance thing comes into play.’ And how do I put guardrails in place to ensure that I’m trained on the data that’s relevant to my company becomes really important. ” he said.
Logic, not syntex
Rahul Tyagi, co-founder of Safe Security, said that when it comes to AI, it’s all about logic, not syntax. “I think over time every organization will have its own LL model for their industry. In addition, there are certain compliances that every organization must follow that will be industry-specific.” he Tyagi said.
Applicability
“I have 10 years of experience in companies, and every three to four years something happens: cloud, big data, blockchain. But payments is where I realized that some version of the technology was applicable to me. Applicability As an organization or CTO, leveraging that technology is absolutely essential, Pankit Desai, Co-founder and CEO of Sequretek.
Downside
When we talk about developing technology to host various AI applications, it is critical that organizations take ethical AI very seriously, says Dr. Priyanka Sharma, Director of Software Engineering. MONAKA, head of R&D at Fujitsu Research in India, said:
“Ethical AI means having the right regulations and the right talent to explore aspects of diversity in the datasets used to train models,” she added.
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