We are in an era of heavy learning when it comes to delivering successful AI implementations across our organizations. In fact, the best AI use cases and outcomes are around the corner and still to come. However, there are significant takeaways from first projects all around us that can guide, accelerate, and improve our own journeys. There are also key differences and considerations in how IT teams deploy AI projects and technologies. Attend this session to learn the four key data-centric must haves to increase AI initiative success based on current Quest and Sparkle client experiences from around the world and use them as a catalyst to effectively trailblaze your own efforts.
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Speaker
Sue Laine
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talks
Chief Field Technologist/DI Thought Leader - Quest
Sue is the Director of Sales Strategists/DI Thought Leader for the Erwin Data Intelligence product line. A thought leader in the application of technology and business process to solve real business problems, Sue has over 20 years’ experience working with metadata on the buy side as a customer and the sell side as a vendor, including implementation, showcasing, and program support. She has worked to structure and drive enterprise data management programs. Additionally, Sue has extensive support experience to sustain these initiatives within an organization. She has supported a wide range of clients, including financial, insurance, healthcare, manufacturing and e-Commerce with a general need to provide data-driven business practices. Sue is responsible for launching and guiding Quests Data Intelligence solution's superior Modeling/Data Intelligence technology in fresh, modern offerings that deliver excellent value for today's challenging business demands. Sue is a frequent speaker at industry events regarding enterprise metadata management, data lineage, data governance and engaging training for end users and partners.
Bio from: Big Data LDN 2024
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