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'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
Field Marketing Manager, GSI & IT/ITES Verticals, Amazon Web Services (AWS) India
9moKashish J. Thank you for joining us and sharing your views on next era of transformation for software companies using generative AI. Amit Anshu Karthik Sathuragiri Pradeep Bhardwaj Abhinav Venugopalan