Artificial Intelligence (AI) has emerged as a key driver of innovation across industries. When we think of AI, many assume that data scientists alone handle the entire process, especially in smaller organizations. However, in larger organizations, AI-related projects involve various specialized roles, all working in a coordinated fashion. This article walks through how these teams work together, ensuring successful AI implementation in large enterprises. The Key Players in an AI Project AI projects in large organizations follow a structured approach, with each person contributing their expertise to ensure a robust solution is delivered. 1. Project Sponsor: Every AI initiative begins with a business need or problem, identified by the project sponsor. This individual typically comes from a senior management or executive level and has the authority to fund the project. They play a critical role in aligning the project’s goals with the organization’s business objectives. 2. Pro...

Cypher 2024 – India’s Largest AI Conference, hosted by AIM Media House, was an incredible experience! We had the opportunity to attend and witness industry leaders delve into AI's transformative potential across sectors.   Day 1 Highlights Mohan Das Pai likened Bangalore to San Francisco, highlighting the city’s potential and need for investment to leverage its vast talent pool. Shalvi Chitkara of Genpact emphasized the importance of AI literacy across all business functions. Shashank Dubey focused on redefining roles to prioritize outcomes over specific skills. Raja Jamalamadaka discussed the role of neuroscience in facilitating AI adoption by addressing human concerns about technology. Sarkar Yadav explored AI’s applications in legal complexities, while Madhusudan Shekar of Google Cloud stressed adapting enterprise architecture for generative AI. Day 2 Highlights   Baichung Bhutia drew parallels between sports and technology, emphasizing teamwork and strategy in ...