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Draup's CTO, Kashish J., recently shared some fascinating insights at the AWS & CNBC-TV18 CXO Roundtable on 'Generative AI: Shaping the Next Era of ITes Dynamics'. He delved into: -Draup's impressive journey of rapidly bringing 8 generative AI models to life within a single year. -The foundational three pillars that underpin success in the AI domain. -The significant shift in the global acceptance and integration of AI technologies. Watch below 👇 #boardroomdialogues #AI #GenAI #generativeai

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Hello and welcome to AWS and CNBC. tv18.com presents the Boardroom Dialogues, a series of CXO roundtables with industry experts. Mr. Kashish, coming to you, Joe has in the last one year productionized 7 to 8 Jenni models and that too with a smaller team. So what is your go to market strategy for such models and how are you managing this in a shorter turnaround time? Yeah, thanks for that. So we are very small company, right, but we work with like 200 of the largest companies in the world. A lot of companies represented here today are also our clients. So what has changed after December 2022? There are three things that the model needs to be successful, right. You need data, you need models and you need a lot of trust and conviction from the clients or end users who are OK to use it. I think some of my friends talked about data, how we can fix it, how we can get a lot of insights right. Second part on the model. So they are now a lot of open source models available, a lot of closed models available that you can buy from or models available that you can train in house, right? And the third and the most important people's. Failed to start using chat bots right before 2022 I was not very comfortable using chat bots because they were like predefined answers that used to come out right. Like I never liked the auto auto auto response generative vis right? And like for a normal person to understand and realize that this is a bot and it can make a mistake right? Chat GPD has beat people more comfortable with that. They understand it can hallucinate, they understand that it can sometimes be wrong and you might need to double test. And they understand this is an evolving technology, yes. So people have been more adopting and we can bring out more products to the world and they can give it a try. Thank you for sharing that. Yes, yes.

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Kashish J.

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I recently had the opportunity to participate in an insightful CXO roundtable discussion hosted by CNBC-TV18 and Amazon Web Services (AWS) on the next era of transformation for software companies using generative AI. After talking with industry leaders, here are some key takeaways and best practices for organizations looking to leverage generative AI: 1. Ensure data quality and compliance: Having suitable datasets and compliance with all local and global regulations is the most critical step before starting modelling work. Carefully review data privacy requirements and put governance frameworks in place. 2. Align with business outcomes: Don't convert every feature or process to generative AI just to jump on the buzz. Identify relevant projects based on expected business outcomes and ROI. Generative AI should augment human capabilities, not aim to replace employees. 3. Start with narrow use cases: Focus initial generative AI efforts on specific, high-value use cases rather than broad deployment. Typical applications include customer support chatbots, content generation, data analytics, and code development. Iterate and expand usage based on early wins. 4. Implement human oversight: Maintain human oversight of generative AI outputs to catch inaccuracies, prevent harmful content, and provide nuanced context. Combine AI efficiency with human judgment for optimal results. Develop testing and verification frameworks to validate AI performance. 5. Monitor for bias and transparency: Identify and mitigate bias in training data and AI outputs. Provide transparency to users and stakeholders on how generative AI is used in products and services. Earn trust through responsible AI practices. 6. Evaluate build vs. buy: Assess whether to build custom AI models, buy off-the-shelf tools, or use a hybrid approach. Consider costs, domain specificity, and integration requirements. Implementing generative AI will be an ongoing journey, not a one-time event. The potential for generative AI to transform business is immense, from enhancing creativity and personalization to optimizing operations. However, organizations must proactively address data, talent, governance, and trust challenges to harness this technology successfully. Companies can unlock new innovations while managing risks by adopting generative AI best practices.I'm excited to see how generative AI continues to advance and reshape industries in the coming years. You can find the full video here - https://lnkd.in/gymww3ST #generatieveai #genai

Draup

29,213 followers
9mo Edited

Draup's CTO, Kashish J., recently shared some fascinating insights at the AWS & CNBC-TV18 CXO Roundtable on 'Generative AI: Shaping the Next Era of ITes Dynamics'. He delved into: -Draup's impressive journey of rapidly bringing 8 generative AI models to life within a single year. -The foundational three pillars that underpin success in the AI domain. -The significant shift in the global acceptance and integration of AI technologies. Watch below 👇 #boardroomdialogues #AI #GenAI #generativeai

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