This presentation covers the critical transition from traditional analytics to the strategic integration of AI into business processes, from the compelling reasons for adoption to the practical implementation steps. The 'What' segment introduces the foundational elements enabling the AI revolution and the business processes ripe for disruption. Addressing the 'Why', we highlight the responsible adoption of AI with accurate, reliable data as the backbone of any AI-driven initiative. This section underscores the need for solid data benchmarks and testing to measure AI's effectiveness, to ensure that AI implementations lead to tangible, positive outcomes, and to alert leaders to issues early. The 'How' section provides actionable insights on implementing AI to scale data-driven decisions effectively. With real-life examples, this section covers best practices for data management, technology integration, and strategies for fostering a culture that embraces data and AI. Attendees will learn about scaling AI-driven analytics, including considerations for data security, privacy, and ethical AI use.
talk-data.com
Speaker
Shingai Manjengwa
1
talks
Shingai is the Head of AI Education at ChainML where she works with clients on AI education, adoption, and implementation. Shingai takes clients from an AI product idea to an affordable and scalable deployment. A seasoned data scientist, Shingai has a background in retail analytics, generating data insights to top tier manufacturers and retailers, and she has led technical education at the Vector Institute for AI. Shingai is also the founder of Fireside Analytics Inc., an online data science education company. Over half a million learners have taken her courses on platforms such as IBM and Coursera. Shingai sits on a number of boards and advisory committees, and she is an award-winning speaker and children's book author.
Bio from: Data Universe 2024
Filter by Event / Source
Talks & appearances
Showing 1 of 1 activities