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  • Unlock the Potential of Your Unstructured Data

    Unlock the Potential of Your Unstructured Data

    Every day, your organization generates countless emails, support tickets, reviews and documents brimming with insights about customer sentiment, operational bottlenecks and market shifts. Yet while your dashboards showcase the numbers, the real intelligence often stays buried in unstructured text, images, documents and more.

    The companies pulling ahead aren’t just counting transactions — they’re spotting dissatisfied customers before they churn, identifying process breakdowns before they cascade, and uncovering competitive intelligence hiding in plain sight. The result? Measurably better customer satisfaction, lower operational costs and strategic advantages that compound over time.

    Download our white paper to learn how forward-thinking companies are turning information chaos into competitive clarity with Snowflake and Amazon Web Services (AWS):

    • Unlock hidden intelligence through AI workflows that actually scale with your business
    • See the complete picture by integrating unstructured insights with your existing data platform — without breaking the bank
    • Connect the dots across departments with unified governance that turns scattered insights into coordinated action

    In collaboration with Amazon Web Services (AWS)

    Please fill out the form below to access the content:

    79E560 – Unlock the Potential of Your Unstructured Data

  • Deploying AI Agents at Scale: 3 Patterns to Move Beyond POCs

    Deploying AI Agents at Scale: 3 Patterns to Move Beyond POCs

    AI innovation is happening fast. It’s clear that the technology isn’t just another tech trend, with the amount of money venture capitalists are investing in AI and the industry’s quick evolution from generative AI to agentic AI.

    But with changes in AI happening quicker than most can write a ChatGPT prompt, organizations need a little help knowing where to get started. That’s why this book, developed in partnership with Amazon Web Services (AWS), shows three common types of agents that can be implemented today.

    Download this book to learn:

    • How to get started with data agents, conversational agents and multiagent systems
    • Which AI agents have moved beyond the proof-of-concept phase and are delivering ROI
    • Real-world examples of companies already using these agents and the benefits they’ve seen

    In collaboration with Amazon Web Services (AWS)

    Please fill out the form below to access the content:

    6EE8C7 – Deploying AI Agents at Scale: 3 Patterns to Move Beyond POCs

  • Unlock the Potential of Your Unstructured Data

    Unlock the Potential of Your Unstructured Data

    Every day, your organization generates countless emails, support tickets, reviews and documents brimming with insights about customer sentiment, operational bottlenecks and market shifts. Yet while your dashboards showcase the numbers, the real intelligence often stays buried in unstructured text, images, documents and more.

    The companies pulling ahead aren’t just counting transactions — they’re spotting dissatisfied customers before they churn, identifying process breakdowns before they cascade, and uncovering competitive intelligence hiding in plain sight. The result? Measurably better customer satisfaction, lower operational costs and strategic advantages that compound over time.

    Download our white paper to learn how forward-thinking companies are turning information chaos into competitive clarity with Snowflake and Amazon Web Services (AWS):

    • Unlock hidden intelligence through AI workflows that actually scale with your business
    • See the complete picture by integrating unstructured insights with your existing data platform — without breaking the bank
    • Connect the dots across departments with unified governance that turns scattered insights into coordinated action

    In collaboration with Amazon Web Services (AWS)

    Please fill out the form below to access the content:

    D2A062 – Unlock the Potential of Your Unstructured Data

  • Trust, Not Capability, Could Be the Key to AI Potential

    Trust, Not Capability, Could Be the Key to AI Potential

    Trust can be a value driver that directly improves adoption, scalability and ROI.

    Organizations that demonstrate trustworthy AI practices and solutions can gain a competitive edge by accelerating deployment timelines, winning customer support, and expanding into new use cases that require high levels of accuracy or sensitivity.

    Together, Snowflake and AWS provide all the features your organization needs to power performant, scalable, highly-governed AI use cases that build trust with users and business leaders alike.

    Download this white paper to:

    • Understand why trust drives adoption and ROI, and how to balance innovation without slowing time to value
    • Explore the practical building blocks of trustworthy AI systems, with real-world trustworthy AI applications examples
    • Get guidance for building AI autonomy while maintaining sovereign control over data

    In collaboration with Amazon Web Services (AWS)

    Please fill out the form below to access the content:

    D2A062 – Trust, Not Capability, Could Be the Key to AI Potential

  • Deploying AI Agents at Scale: 3 Patterns to Move Beyond POCs

    Deploying AI Agents at Scale: 3 Patterns to Move Beyond POCs

    AI innovation is happening fast. It’s clear that the technology isn’t just another tech trend, with the amount of money venture capitalists are investing in AI and the industry’s quick evolution from generative AI to agentic AI.

    But with changes in AI happening quicker than most can write a ChatGPT prompt, organizations need a little help knowing where to get started. That’s why this book, developed in partnership with Amazon Web Services (AWS), shows three common types of agents that can be implemented today.

    Download this book to learn:

    • How to get started with data agents, conversational agents and multiagent systems
    • Which AI agents have moved beyond the proof-of-concept phase and are delivering ROI
    • Real-world examples of companies already using these agents and the benefits they’ve seen

    In collaboration with Amazon Web Services (AWS)

    Please fill out the form below to access the content:

    D2A062 – Deploying AI Agents at Scale: 3 Patterns to Move Beyond POCs

  • Autonomous Finance in Practice: Embedding AI into Core Finance Operations Without Breaking Control UK

    SPONSORED BY

    Autonomous Finance in Practice: Embedding AI into Core Finance Operations Without Breaking Control

    June 25,2026 / 10:00am EDT

    Speaker Highlights

    Prithwijt Chaki

    Global Finance Advisory Leader

    Genpact

    Sri Ghattamaneni

    Field Engineering Leader

    Databricks

    Michael Nicosia

    VP ADUSA Finance Data, Reporting & Analytics

    Ahold Delhaize USA

    Moderator – Eva Chalioti

    Senior Lecturer

    Yale University, Economics of AI

    AI is already reshaping finance operations — but not in the way most headlines suggest. For finance leaders, the real challenge isn’t whether to adopt AI, but how to embed it into core workflows while maintaining control, accountability, and trust.

    This Reuters Events webinar cuts through the noise to examine how autonomous finance is being applied today — inside real finance functions, supporting real decisions, and operating within established governance frameworks. No futurism. No unchecked automation. Just practical progress.


    Designed for CFOs, finance transformation leaders, and controllership teams, this report focuses on what works, what doesn’t, and where autonomy genuinely adds value right now.


    Speakers include:


    Prithwijt Chaki, Global Finance Advisory Leader, Genpact

    Sri Ghattamaneni, Field Engineering Leader, Databricks

    Michael Nicosia, VP ADUSA Finance Data, Reporting & Analytics, Ahold Delhaize USA

    Moderator – Eva Chalioti, Senior Lecturer, Yale University, Economics of AI


    Enterprise AI leaders will discuss:


    • Automation vs. autonomy — and the data gap in between — why most enterprises stall at automation because their data foundations aren’t ready; the shift from siloed financial data to a governed, unified data layer as the prerequisite for AI agents that act, not just assist.
    • Data-led transformation in action — Deep dive into 2–3 core finance workflows (AP, R2R, FP&A) where modern data platforms and agentic AI converge, enabled by centralized finance data foundations (e.g., governed lakehouse architectures)
    • Trust, governance & human-in-the-loop — How unified data governance (lineage, quality, cataloging) underpins trust in autonomous systems, with accountability frameworks for AI-driven financial decisioning.
    • CFO playbook: From pilots to scaled production — Practical guidance on sequencing the journey — data modernization → agentic capabilities → production scale — with 3/6/12-month milestones and the role of strategic tech partnerships.

    Why this matters now

    As finance functions face growing pressure to do more with less, autonomy is moving from experimentation to execution. But progress depends on credibility, not vision. This report provides a realistic blueprint for embedding AI into finance operations — safely, responsibly, and at scale.

    Registration Form

    B43A2F-Reuters News and Media Inc.-Reuters – Genpact leads – Webinar 2 – Jun '26-Linked-108.6
    REGISTER NOW

    © 2025 REUTERS. ALL RIGHTS RESERVED.

  • Autonomous Finance in Practice: Embedding AI into Core Finance Operations Without Breaking Control APAC

    SPONSORED BY

    Autonomous Finance in Practice: Embedding AI into Core Finance Operations Without Breaking Control

    June 25,2026 / 10:00am EDT

    Speaker Highlights

    Prithwijt Chaki

    Global Finance Advisory Leader

    Genpact

    Sri Ghattamaneni

    Field Engineering Leader

    Databricks

    Michael Nicosia

    VP ADUSA Finance Data, Reporting & Analytics

    Ahold Delhaize USA

    Moderator – Eva Chalioti

    Senior Lecturer

    Yale University, Economics of AI

    AI is already reshaping finance operations — but not in the way most headlines suggest. For finance leaders, the real challenge isn’t whether to adopt AI, but how to embed it into core workflows while maintaining control, accountability, and trust.

    This Reuters Events webinar cuts through the noise to examine how autonomous finance is being applied today — inside real finance functions, supporting real decisions, and operating within established governance frameworks. No futurism. No unchecked automation. Just practical progress.


    Designed for CFOs, finance transformation leaders, and controllership teams, this report focuses on what works, what doesn’t, and where autonomy genuinely adds value right now.


    Speakers include:


    Prithwijt Chaki, Global Finance Advisory Leader, Genpact

    Sri Ghattamaneni, Field Engineering Leader, Databricks

    Michael Nicosia, VP ADUSA Finance Data, Reporting & Analytics, Ahold Delhaize USA

    Moderator – Eva Chalioti, Senior Lecturer, Yale University, Economics of AI


    Enterprise AI leaders will discuss:


    • Automation vs. autonomy — and the data gap in between — why most enterprises stall at automation because their data foundations aren’t ready; the shift from siloed financial data to a governed, unified data layer as the prerequisite for AI agents that act, not just assist.
    • Data-led transformation in action — Deep dive into 2–3 core finance workflows (AP, R2R, FP&A) where modern data platforms and agentic AI converge, enabled by centralized finance data foundations (e.g., governed lakehouse architectures)
    • Trust, governance & human-in-the-loop — How unified data governance (lineage, quality, cataloging) underpins trust in autonomous systems, with accountability frameworks for AI-driven financial decisioning.
    • CFO playbook: From pilots to scaled production — Practical guidance on sequencing the journey — data modernization → agentic capabilities → production scale — with 3/6/12-month milestones and the role of strategic tech partnerships.

    Why this matters now

    As finance functions face growing pressure to do more with less, autonomy is moving from experimentation to execution. But progress depends on credibility, not vision. This report provides a realistic blueprint for embedding AI into finance operations — safely, responsibly, and at scale.

    Registration Form

    177AAE-Reuters News and Media Inc.-Reuters – Genpact leads – Webinar 2 – Jun '26-Linked-108.6
    REGISTER NOW

    © 2025 REUTERS. ALL RIGHTS RESERVED.

  • Autonomous Finance in Practice: Embedding AI into Core Finance Operations Without Breaking Control uk

    SPONSORED BY

    Autonomous Finance in Practice: Embedding AI into Core Finance Operations Without Breaking Control

    June 25,2026 / 10:00am EDT

    Speaker Highlights

    Prithwijt Chaki

    Global Finance Advisory Leader

    Genpact

    Sri Ghattamaneni

    Field Engineering Leader

    Databricks

    Michael Nicosia

    VP ADUSA Finance Data, Reporting & Analytics

    Ahold Delhaize USA

    Moderator – Eva Chalioti

    Senior Lecturer

    Yale University, Economics of AI

    AI is already reshaping finance operations — but not in the way most headlines suggest. For finance leaders, the real challenge isn’t whether to adopt AI, but how to embed it into core workflows while maintaining control, accountability, and trust.

    This Reuters Events webinar cuts through the noise to examine how autonomous finance is being applied today — inside real finance functions, supporting real decisions, and operating within established governance frameworks. No futurism. No unchecked automation. Just practical progress.


    Designed for CFOs, finance transformation leaders, and controllership teams, this report focuses on what works, what doesn’t, and where autonomy genuinely adds value right now.


    Speakers include:


    Prithwijt Chaki, Global Finance Advisory Leader, Genpact

    Sri Ghattamaneni, Field Engineering Leader, Databricks

    Michael Nicosia, VP ADUSA Finance Data, Reporting & Analytics, Ahold Delhaize USA

    Moderator – Eva Chalioti, Senior Lecturer, Yale University, Economics of AI


    Enterprise AI leaders will discuss:


    • Automation vs. autonomy — and the data gap in between — why most enterprises stall at automation because their data foundations aren’t ready; the shift from siloed financial data to a governed, unified data layer as the prerequisite for AI agents that act, not just assist.
    • Data-led transformation in action — Deep dive into 2–3 core finance workflows (AP, R2R, FP&A) where modern data platforms and agentic AI converge, enabled by centralized finance data foundations (e.g., governed lakehouse architectures)
    • Trust, governance & human-in-the-loop — How unified data governance (lineage, quality, cataloging) underpins trust in autonomous systems, with accountability frameworks for AI-driven financial decisioning.
    • CFO playbook: From pilots to scaled production — Practical guidance on sequencing the journey — data modernization → agentic capabilities → production scale — with 3/6/12-month milestones and the role of strategic tech partnerships.

    Why this matters now

    As finance functions face growing pressure to do more with less, autonomy is moving from experimentation to execution. But progress depends on credibility, not vision. This report provides a realistic blueprint for embedding AI into finance operations — safely, responsibly, and at scale.

    Registration Form

    EBE56C-Reuters News and Media Inc.-Reuters – Genpact leads – Webinar 2 – Jun '26-Linked-108.6
    REGISTER NOW

    © 2025 REUTERS. ALL RIGHTS RESERVED.

  • Autonomous Finance in Practice: Embedding AI into Core Finance Operations Without Breaking Control

    Thanks for Signing Up

    See you soon!

    Thanks for registering for the Reuters & Genpact webinar “Autonomous Finance in Practice: Embedding AI into Core Finance Operations Without Breaking Control” taking place on June 25 at 11:00am ET.

    Here are the insights you can look forward to:

    • Automation vs. autonomy – and the data gap in between – why most enterprises stall at automation because their data foundations aren’t ready; the shift from siloed financial data to a governed, unified data layer as the prerequisite for AI agents that act, not just assist.
    • Data-led transformation in action – Deep dive into 2–3 core finance workflows (AP, R2R, FP&A) where modern data platforms and agentic AI converge, enabled by centralized finance data foundations (e.g., governed lakehouse architectures)
    • Trust, governance & human-in-the-loop – How unified data governance (lineage, quality, cataloging) underpins trust in autonomous systems, with accountability frameworks for AI-driven financial decisioning.
    • CFO playbook: From pilots to scaled production – Practical guidance on sequencing the journey – data modernization → agentic capabilities → production scale – with 3/6/12-month milestones and the role of strategic tech partnerships.

    We hope you can join us live where we’ll be running some live polls for additional insights, but if not, a recording will be shared with you post webinar anyway!

    Reuters AI Team

  • Autonomous Finance in Practice: Embedding AI into Core Finance Operations Without Breaking Control

    SPONSORED BY

    Autonomous Finance in Practice: Embedding AI into Core Finance Operations Without Breaking Control

    June 25,2026 / 10:00am EDT

    Speaker Highlights

    Prithwijt Chaki

    Global Finance Advisory Leader

    Genpact

    Sri Ghattamaneni

    Field Engineering Leader

    Databricks

    Michael Nicosia

    VP ADUSA Finance Data, Reporting & Analytics

    Ahold Delhaize USA

    Moderator – Eva Chalioti

    Senior Lecturer

    Yale University, Economics of AI

    AI is already reshaping finance operations — but not in the way most headlines suggest. For finance leaders, the real challenge isn’t whether to adopt AI, but how to embed it into core workflows while maintaining control, accountability, and trust.

    This Reuters Events webinar cuts through the noise to examine how autonomous finance is being applied today — inside real finance functions, supporting real decisions, and operating within established governance frameworks. No futurism. No unchecked automation. Just practical progress.


    Designed for CFOs, finance transformation leaders, and controllership teams, this report focuses on what works, what doesn’t, and where autonomy genuinely adds value right now.


    Speakers include:


    Prithwijt Chaki, Global Finance Advisory Leader, Genpact

    Sri Ghattamaneni, Field Engineering Leader, Databricks

    Michael Nicosia, VP ADUSA Finance Data, Reporting & Analytics, Ahold Delhaize USA

    Moderator – Eva Chalioti, Senior Lecturer, Yale University, Economics of AI


    Enterprise AI leaders will discuss:


    • Automation vs. autonomy — and the data gap in between — why most enterprises stall at automation because their data foundations aren’t ready; the shift from siloed financial data to a governed, unified data layer as the prerequisite for AI agents that act, not just assist.
    • Data-led transformation in action — Deep dive into 2–3 core finance workflows (AP, R2R, FP&A) where modern data platforms and agentic AI converge, enabled by centralized finance data foundations (e.g., governed lakehouse architectures)
    • Trust, governance & human-in-the-loop — How unified data governance (lineage, quality, cataloging) underpins trust in autonomous systems, with accountability frameworks for AI-driven financial decisioning.
    • CFO playbook: From pilots to scaled production — Practical guidance on sequencing the journey — data modernization → agentic capabilities → production scale — with 3/6/12-month milestones and the role of strategic tech partnerships.

    Why this matters now

    As finance functions face growing pressure to do more with less, autonomy is moving from experimentation to execution. But progress depends on credibility, not vision. This report provides a realistic blueprint for embedding AI into finance operations — safely, responsibly, and at scale.

    Registration Form

    EBFCD3-Reuters News and Media Inc.-Reuters – Genpact leads – Webinar 2 – Jun '26-Linked-108.6
    REGISTER NOW

    © 2025 REUTERS. ALL RIGHTS RESERVED.