💡 The Enterprise AI Leaders Panel started by digging into different use cases with AI! Gerson Rodriguez (AI Director at Oracle | Netsuite ) mentions that at Oracle, their focus on innovation is guided by four key pillars. Our AI capabilities are designed to help you: 1. Acquire more customers. 2. Develop superior products or services. 3. Hire top talent. 4. Run your operations efficiently and transparently. Private organizations use Oracle products and services to achieve these goals. Government organizations leverage our offerings to enhance public service delivery. He also highlights that Oracle is deeply committed to developing guided systems that help customers use our products with ease, simplifying their tasks and enhancing their job performance. Bhaskar Gangipamula (President and Chairman at Quadrant Technologies) goes on to ask the panelist to talk about the efficiency factor and job loss associated with using AI Matteo Colombo (U.S. Practice leader for KPMG Lighthouse) goes on to answer, stating: AI will increase efficiency across most industries and sectors, exerting pressure on the workforce. A McKinsey study indicates that very few jobs will remain unaffected by AI. However, alongside efficiency, AI must also drive organizational growth. For instance, Amazon has automated extensively but continues to hire due to its growth. AI should contribute to both efficiency and growth, which will stem from changes in the organization's operating model and evolving demand. He digs into specifics at KPMG US mentioning the following: Integrating AI into your organization involves three phases: 1. Use generative AI out of the box. 2. Customize AI to be contextually relevant for your business. 3. Transform your operating model to leverage AI for greater effectiveness in current services. KPMG is transitioning from the first to the second phase and was the first of the Big Four to provide OpenAI to its professionals about a year ago. Then Dragos Margineantu (A.I. Chief Technologist at Boeing and Senior Technical Fellow) goes on to have one of the quotes of the night saying: Our goal isn't to replace humans, but to automate routine tasks. Boeing exemplifies this approach, ensuring humans remain integral to the process. He goes on to say that we often overlook that engineering these AI systems must also account for real-world anomalies and missing data. In high-risk applications with no existing data, we must design systems to collect it. There were so many amazing talking points, but I will leave you all to reflect on these listed here. Hope to see everyone at our future events!
Pablo Casilimas
1mo
Great notes from the panel! 🔥
Great event! Best of AI Week. Good work 161 team!
Director AI Strategy & Partnerships at Oracle|NetSuite
1moThanks for the invitation and the opportunity to present our vision of AI in the Enterprise.