{"id":55356,"date":"2026-05-08T07:54:24","date_gmt":"2026-05-08T14:54:24","guid":{"rendered":"https:\/\/www.ai-expo.net\/northamerica\/?post_type=agenda&#038;p=55356"},"modified":"2026-09-21T05:23:54","modified_gmt":"2026-09-21T12:23:54","slug":"data-analytics","status":"publish","type":"agenda","link":"https:\/\/www.ai-expo.net\/northamerica\/agenda\/data-analytics\/","title":{"rendered":"Data &amp; Analytics"},"content":{"rendered":"<h2>DAY 2  |  GOLD  TRACK<\/h2>\n<h3>Data &amp; Analytics<\/h3>\n<h2>09:15 AM &#8211; 09:30 AM<\/h2>\n<h2>Chairperson\u2019s Opening Remarks<\/h2>\n<h2>9:30 &#8211; 10:00<\/h2>\n<h2>Presentation: The Trust Engine: Transforming Enterprise Data into AI-Ready Assets<\/h2>\n<p>Enterprise AI can only be as effective as the data behind it. While organisations possess vast amounts of information, many still struggle with fragmented architectures, inconsistent governance and poor data quality, preventing AI initiatives from scaling beyond isolated use cases.<\/p>\n<p>This session explores how leading organisations are creating trusted, AI-ready data foundations that support faster deployment, stronger governance and more reliable AI outcomes. Learn how modern data platforms, automated governance and strategic technology partnerships are helping enterprises transform raw data into a competitive advantage.<\/p>\n<h2>10:05 &#8211; 10:35<\/h2>\n<h2>Presentation: The Innovation Accelerator: Balancing Data Governance with Agility<\/h2>\n<p>Strong governance should enable innovation \u2013 not slow it down. Yet many organisations continue to treat governance and agility as competing priorities, creating unnecessary delays for analytics and AI initiatives.<\/p>\n<p>This session explores how modern governance frameworks are evolving through automation, policy-driven controls and self-service access, enabling organisations to innovate with confidence while maintaining compliance, security and trust across the enterprise.<\/p>\n<h2>10:40 &#8211; 11:10<\/h2>\n<h2>Presentation: The AI ROI Reality Check: Separating Business Value from AI Hype<\/h2>\n<p>AI investment continues to accelerate, but many organisations are still struggling to demonstrate meaningful commercial outcomes. Beyond isolated success stories, leaders increasingly need evidence that AI is delivering measurable improvements in productivity, customer experience and financial performance.<\/p>\n<p>This session examines where organisations are genuinely seeing value, why many initiatives fail to progress beyond proof of concept, and how successful enterprises are building robust frameworks for measuring AI performance and long-term business impact.<\/p>\n<h2>11:10 &#8211; 11:30<\/h2>\n<h2>Networking Break<\/h2>\n<h2>11:30 &#8211; 12:10<\/h2>\n<h2>Panel: How to Avoid the AI Graveyard: Building Models That Deliver Long-Term Value<\/h2>\n<p>Many AI models perform well in development but struggle to survive changing business priorities, evolving data and operational complexity. Sustainable AI requires far more than technical accuracy \u2013 it demands governance, ownership, monitoring and continuous improvement.<\/p>\n<p>This discussion brings together enterprise leaders responsible for deploying AI at scale to explore what separates long-term success from expensive experimentation.<\/p>\n<p>Discussion topics include:<br \/>\u2022 Moving beyond proof of concept<br \/>\u2022 Monitoring model performance over time<br \/>\u2022 Product ownership and governance<br \/>\u2022 Building reusable enterprise AI capabilities<br \/>\u2022 Keeping AI aligned with changing business needs<\/p>\n<h2>12:15 &#8211; 12:45<\/h2>\n<h2>Presentation: Leading with Purpose: Scaling Generative AI for Customer Experience<\/h2>\n<p>Delivering successful customer-facing AI requires more than deploying large language models. Organisations must balance innovation with trust, governance and measurable customer outcomes while ensuring AI complements \u2013 not complicates \u2013 the customer journey.<\/p>\n<p>This session explores to embed Generative AI into customer engagement strategies while maintaining responsible governance, improving employee productivity and delivering meaningful business value.<\/p>\n<h2>12:50 &#8211; 13:20<\/h2>\n<h2>Presentation: Delivering AI at scale: Unlocking value for customers and colleagues<\/h2>\n<p>Some organisations have moved beyond isolated AI projects to establish AI as a core enterprise capability \u2013 improving customer experiences, empowering colleagues and delivering measurable business value across the organisation.<\/p>\n<p>This session explores how to scale AI responsibly, embedding governance from the outset and building a reusable platform that supports enterprise-wide adoption. Attendees will hear practical lessons from large AI transformation programmes.<\/p>\n<p>Topics include:<br \/>\u2022 Building a secure enterprise AI platform<br \/>\u2022 Embedding responsible AI into delivery<br \/>\u2022 Equipping thousands of colleagues with AI skills<br \/>\u2022 Scaling reusable AI capabilities<br \/>\u2022 Measuring enterprise-wide business value<\/p>\n<h2>13:20 &#8211; 14:20<\/h2>\n<h2>Lunch Networking Break<\/h2>\n<h2>14:20 &#8211; 14:40<\/h2>\n<h2>Presentation: From Data to Decisions: Lessons from Analytics Success &#8211; and Failure<\/h2>\n<p>The most valuable analytics programmes are rarely straightforward. Behind every successful deployment are lessons learned from failed assumptions, poor-quality data and changing business priorities.<\/p>\n<p>This session explores how organisations are improving decision-making by learning from both successful and unsuccessful analytics initiatives, helping leaders avoid common pitfalls while building stronger, more resilient AI and data strategies.<\/p>\n<h2>15:30 &#8211; 16:00<\/h2>\n<h2>Presentation: Human-Centered AI: Enhancing Decisions at Scale<\/h2>\n<p>Explore how organisations can use AI to augment human expertise, improve decision-making and drive better outcomes at scale. This session will examine practical approaches to keeping people at the centre of AI adoption, from building trust and transparency to designing systems that complement human judgement rather than replace it.<\/p>\n<h2>16:00<\/h2>\n<h2>Chairperson&#8217;s Closing Remarks<\/h2>\n","protected":false},"featured_media":0,"template":"","meta":{"_acf_changed":false},"class_list":["post-55356","agenda","type-agenda","status-publish","hentry"],"acf":{"day":"2","track_type":"Gold Track","event":["AI"],"region":"North America","time_slot":[{"slot_heading":"Data & Analytics","slot_type":"Title and Track Sponsor","slot_day":"Same","slot_time":"","slot_alternative_track_type":"","slot_text":"","slot_speakers":false,"slot_sponsor":false,"slot_divider":true,"slot_display":true},{"slot_heading":"Chairperson\u2019s Opening Remarks","slot_type":"Entry","slot_day":"Same","slot_time":"09:45 - 10:00","slot_alternative_track_type":"","slot_text":"<p>Chairpersons welcome and opening remarks.<\/p>\n","slot_speakers":false,"slot_sponsor":false,"slot_divider":true,"slot_display":true},{"slot_heading":"Keynote Presentation: PSE\u2019s Journey From Scratch to Scale - Building an AI Program Through Prioritization and Partnerships","slot_type":"Entry","slot_day":"Same","slot_time":"10:00 - 10:30","slot_alternative_track_type":"","slot_text":"","slot_speakers":false,"slot_sponsor":false,"slot_divider":true,"slot_display":true},{"slot_heading":"Presentation: Building an Internal AI Platform at Scale","slot_type":"Entry","slot_day":"Same","slot_time":"10:35 - 11:05","slot_alternative_track_type":"","slot_text":"<p>Hear how a multinational enterprise built and scaled an internal AI-as-a-Service platform to serve business units across the organisation.<\/p>\n<p>The session explores platform design, service integration, team enablement, and the benefits of centralised infrastructure for decentralised intelligence.<\/p>\n","slot_speakers":false,"slot_sponsor":false,"slot_divider":true,"slot_display":true},{"slot_heading":"Panel: How to Avoid the AI Graveyard: Productising Models with Staying Power","slot_type":"Entry","slot_day":"Same","slot_time":"11:10 - 11:50","slot_alternative_track_type":"","slot_text":"<p>This panel brings together enterprise leaders to explore the harsh realities of AI deployment. What makes the difference between models that thrive in production and those that fail to gain traction?<\/p>\n<p>\u2022 Lessons learned from failed deployments<br \/>\n\u2022 Strategies for long-term value delivery<br \/>\n\u2022 Cross-functional integration: tech, ops, and business alignment<br \/>\n\u2022 Governance and change management<\/p>\n","slot_speakers":[{"ID":49310,"post_author":"4853","post_date":"2025-11-13 06:09:13","post_date_gmt":"2025-11-13 14:09:13","post_content":"","post_title":"Esra Vural","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"esra-vural","to_ping":"","pinged":"","post_modified":"2025-11-14 07:42:15","post_modified_gmt":"2025-11-14 15:42:15","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.ai-expo.net\/northamerica\/?post_type=speaker&#038;p=49310","menu_order":67,"post_type":"speaker","post_mime_type":"","comment_count":"0","filter":"raw"}],"slot_sponsor":false,"slot_divider":true,"slot_display":true},{"slot_heading":"Networking Break","slot_type":"Break","slot_day":"Same","slot_time":"11:50 - 12:20","slot_alternative_track_type":"","slot_text":"","slot_speakers":false,"slot_sponsor":false,"slot_divider":true,"slot_display":true},{"slot_heading":"Presentation: Standardizing AI Infrastructure for Diverse Use Cases","slot_type":"Entry","slot_day":"Same","slot_time":"12:20 - 12:50","slot_alternative_track_type":"","slot_text":"<p>Every AI use case has its own specialized model, but the real efficiency comes from a shared foundation. In this session, Occidental Petroleum\u2019s Chief of AI presents a practical approach through a real-world case study, showing how a unified enterprise platform can scale AI across the petrochemical business.<br \/>\n-Learning how a shared AI infrastructure supports diverse use cases<br \/>\n-Discovering practical strategies for streamlining data processing, deployment, and monitoring<br \/>\n-Lessons from a real-world enterprise AI case study that reduced costs and accelerated delivery\u201d<\/p>\n","slot_speakers":false,"slot_sponsor":false,"slot_divider":true,"slot_display":true},{"slot_heading":"Presentation: AI in Retail \u2013 Delivering Personalisation at Scale","slot_type":"Entry","slot_day":"Same","slot_time":"12:55 - 1:25","slot_alternative_track_type":"","slot_text":"<p>A leading global retailer shares how they used AI to drive measurable value in customer engagement and operations. Learn how they approached dynamic pricing, inventory optimisation, and personalisation at massive scale.<\/p>\n","slot_speakers":false,"slot_sponsor":false,"slot_divider":true,"slot_display":true},{"slot_heading":"Lunch Break","slot_type":"Break","slot_day":"Same","slot_time":"1:25 - 2:25","slot_alternative_track_type":"","slot_text":"","slot_speakers":false,"slot_sponsor":false,"slot_divider":true,"slot_display":true},{"slot_heading":"Panel: \u202f\u202fPanel: Buying vs Building AI \u2013 What\u2019s Right for Your Enterprise?","slot_type":"Entry","slot_day":"Same","slot_time":"2:25 - 3:05","slot_alternative_track_type":"","slot_text":"<p>Should you build your AI capabilities in-house or buy from a vendor? This panel dives deep into the decision-making process across various sectors.<\/p>\n<p>\u2022 Off-the-shelf platforms vs in-house custom solutions<br \/>\n\u2022 Vendor lock-in, IP ownership, and long-term costs<br \/>\n\u2022 Perspectives from banking, healthcare, and telecom leaders<\/p>\n","slot_speakers":[{"ID":49328,"post_author":"4853","post_date":"2025-11-13 06:14:00","post_date_gmt":"2025-11-13 14:14:00","post_content":"","post_title":"Reena Solomon","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"reena-solomon","to_ping":"","pinged":"","post_modified":"2025-11-14 07:41:43","post_modified_gmt":"2025-11-14 15:41:43","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.ai-expo.net\/northamerica\/?post_type=speaker&#038;p=49328","menu_order":49,"post_type":"speaker","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":49322,"post_author":"4853","post_date":"2025-11-13 06:12:29","post_date_gmt":"2025-11-13 14:12:29","post_content":"","post_title":"Sunzay Passari","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"sunzay-passari","to_ping":"","pinged":"","post_modified":"2025-11-14 07:41:59","post_modified_gmt":"2025-11-14 15:41:59","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.ai-expo.net\/northamerica\/?post_type=speaker&#038;p=49322","menu_order":63,"post_type":"speaker","post_mime_type":"","comment_count":"0","filter":"raw"}],"slot_sponsor":false,"slot_divider":true,"slot_display":true},{"slot_heading":"Presentation: From Excel to AI \u2013 A Finance Team\u2019s Transformation Story","slot_type":"Entry","slot_day":"Same","slot_time":"3:10 - 3:30","slot_alternative_track_type":"","slot_text":"<p>This session walks through how one financial institution modernised its forecasting, scenario planning, and risk modelling using AI. From legacy spreadsheets to scalable ML pipelines\u2014learn what worked and what needed to change culturally and technically.<\/p>\n","slot_speakers":false,"slot_sponsor":false,"slot_divider":true,"slot_display":true},{"slot_heading":"Presentation: Beyond the Business Case \u2013 Building a Culture of Scalable AI","slot_type":"Entry","slot_day":"Same","slot_time":"3:35 - 3:55","slot_alternative_track_type":"","slot_text":"<p>Why are some AI initiatives repeatable while others stall? This closing session explores the organisational enablers of AI at scale, including cross-functional alignment, agile data governance, and internal education strategies. Walk away with a framework for embedding AI maturity across the enterprise.<\/p>\n","slot_speakers":[{"ID":49334,"post_author":"4853","post_date":"2025-11-13 06:17:12","post_date_gmt":"2025-11-13 14:17:12","post_content":"","post_title":"Gunther Lenz","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"gunther-lenz","to_ping":"","pinged":"","post_modified":"2025-11-25 03:54:27","post_modified_gmt":"2025-11-25 11:54:27","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.ai-expo.net\/northamerica\/?post_type=speaker&#038;p=49334","menu_order":35,"post_type":"speaker","post_mime_type":"","comment_count":"0","filter":"raw"}],"slot_sponsor":false,"slot_divider":true,"slot_display":true},{"slot_heading":"Chairperson's Closing Remarks","slot_type":"Entry","slot_day":"Same","slot_time":"3:55","slot_alternative_track_type":"","slot_text":"","slot_speakers":false,"slot_sponsor":false,"slot_divider":true,"slot_display":true}]},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v28.6 (Yoast SEO v28.6) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Data &amp; Analytics - AI &amp; Big Data Expo North America<\/title>\n<meta name=\"description\" content=\"Unlock the full potential of AI in your organization. Learn how to transition from pilot projects to scalable enterprise solutions.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.ai-expo.net\/northamerica\/agenda\/data-analytics\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Data &amp; Analytics\" \/>\n<meta property=\"og:description\" content=\"Unlock the full potential of AI in your organization. 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