Momentum AI San Jose 2025: Powering Enterprise Automation

On 15–16 July 2025, the Signia by Hilton in San Jose, California, will host Momentum AI San Jose 2025, a premier two-day summit organised by Reuters Events that promises to be a pivotal moment for enterprise technology leaders. Set against the backdrop of Silicon Valley, the heart of global innovation, this conference will bring together over 500 senior executives, including CIOs, CTOs, CDOs, and other C-suite visionaries, to explore the transformative potential of artificial intelligence (AI) in reshaping business operations. Unlike typical tech expos, Momentum AI stands out for its focus on real-world AI deployments, offering practical insights into how large organisations can benchmark, evaluate, and scale AI to drive measurable outcomes. With a carefully curated agenda featuring keynote speeches, panel discussions, interactive workshops, and exclusive networking opportunities, the event is designed to equip attendees with the tools and connections needed to lead their organisations into an AI-powered future.

At the core of Momentum AI San Jose 2025 is a deep dive into enterprise automation, a critical focus as businesses across industries strive to streamline operations, enhance decision-making, and unlock new efficiencies. AI-driven automation is no longer a theoretical concept but a tangible force revolutionising sectors from finance and healthcare to manufacturing and marketing. The summit will address how AI can automate complex workflows, reduce operational costs, and improve customer experiences while navigating challenges like ethical governance, cybersecurity risks, and regulatory compliance. As companies race to stay competitive in an AI-driven landscape, Momentum AI provides a platform to learn from Fortune 500 leaders who have successfully implemented AI strategies, offering case studies and metrics that connect AI to tangible business value.

Key themes to be explored include responsible AI deployment, data governance, and the integration of generative AI into enterprise systems. Attendees will delve into topics such as automating customer service processes, fostering AI literacy across organisations, and managing AI-related risks in an unregulated field. The event will also feature specialised forums, such as the CIO Forum and AI & Cyber Risk Forum, alongside the Women in AI Breakfast, ensuring diverse perspectives and actionable insights. By uniting technologists, policymakers, and industry pioneers, Momentum AI San Jose 2025 will not only showcase cutting-edge advancements but also chart a roadmap for balancing innovation with responsibility, making it an unmissable event for those shaping the future of enterprise automation.

Overview of Momentum AI San Jose 2025

Event Background

Momentum AI San Jose 2025, hosted by Reuters Events, is a premier two-day summit set for 15–16 July 2025 at the Signia by Hilton in San Jose, California, the epicentre of Silicon Valley’s innovation ecosystem. This global business summit is designed to address the transformative potential of artificial intelligence (AI) in enterprise settings, bringing together over 500 senior executives, technologists, and policymakers to navigate the complexities of AI deployment. Unlike typical tech conferences that often prioritise theoretical discussions, Momentum AI focuses on real-world applications, offering actionable insights into how organisations can benchmark, evaluate, deploy, and scale AI to achieve measurable business outcomes. The event builds on the success of previous Reuters Events, such as Momentum AI 2024, which was praised for its intimate networking opportunities and diverse speaker lineup from Fortune 100 companies.

The summit emerges at a critical juncture in the AI landscape, where rapid advancements are coupled with growing concerns about misinformation, ethical risks, and regulatory gaps. Momentum AI aims to unify industry leaders to create a roadmap that balances innovation with responsibility, fostering trust in AI technologies. Held in San Jose, the event leverages the city’s status as a tech hub to facilitate high-level discussions among C-suite executives, including CIOs, CTOs, CDOs, and CISOs, from some of the world’s largest organisations. The choice of venue and timing reflects Reuters’ commitment to providing a trusted, unbiased platform for tackling foundational challenges in AI adoption.

Attendees

Momentum AI San Jose 2025 attracts a curated audience of over 500 senior decision-makers, primarily from enterprise end-user organisations. The attendee profile includes C-suite executives such as Chief Information Officers (CIOs), Chief Technology Officers (CTOs), Chief Data Officers (CDOs), Chief Information Security Officers (CISOs), and Chief Risk Officers, alongside directors and VPs responsible for AI strategy, cybersecurity, and governance, risk, and compliance (GRC). The event is tailored for leaders from Fortune 500 companies, ensuring a high-calibre, non-vendor environment that fosters open dialogue. Attendees represent a broad spectrum of industries, including financial services, manufacturing, healthcare, retail, consumer packaged goods (CPG), pharmaceuticals, supply chain, and hospitality. This diversity enables cross-industry pollination of ideas, allowing participants to learn from AI applications in different sectors.

Notable attendees from past events include executives from global giants like Intel, AMD, EY, Deloitte, IBM, and Tyson Foods, alongside representatives from organisations such as the World Bank Group and the United States Army. The 2025 edition will continue this trend, with confirmed speakers like Vincent Liu, MD, MS, Chief Data Officer at The Permanente Medical Group, and other industry trailblazers. The event also appeals to AI enthusiasts, engineers, and roboticists, particularly those focused on automation, making it a unique convergence of strategic and technical perspectives.

Format

The summit’s format is designed to maximise engagement and actionable outcomes through a mix of interactive and collaborative sessions. The two-day agenda includes:

1. Keynote Presentations: Strategic sessions delivered by C-suite visionaries, such as Tim Langley-Hawthorne (CIO at Hertz) and Doug Kulka (CITO at Tyson Foods), sharing real-world case studies on AI-driven transformation.

2. Panel Discussions: Cross-industry panels featuring executives from finance, manufacturing, and healthcare, addressing topics like AI governance and operational integration.

3. Interactive Q&A Sessions: Opportunities for attendees to engage directly with speakers, ensuring audience needs are central.

4. Roundtables: Outcome-focused group discussions curated to explore enterprise AI challenges, such as scaling generative AI or managing cybersecurity risks.

5. Exclusive Workshops: Closed-door sessions, such as a Deloitte-sponsored workshop on evaluating AI implementations, offering practical frameworks for maximising value.

6. Specialised Forums: The CIO Forum (15 July) and AI & Cyber Risk Forum provide intimate settings for 30–100 senior executives to discuss strategic AI deployment and risk management.

7. Networking Opportunities: Exclusive receptions, 1:1 meetings, and a private CIO lunch facilitate high-value connections among attendees.

This multifaceted format ensures a blend of inspiration, practical learning, and peer collaboration, setting Momentum AI apart from standard tech expos.

Goals and Agenda Themes

The primary goal of Momentum AI San Jose 2025 is to equip enterprise leaders with the knowledge, tools, and connections needed to drive AI-powered business transformation while addressing ethical and operational challenges. The summit aims to bridge the gap between experimental AI projects and enterprise-wide systems, fostering strategies that deliver measurable value. Key objectives include:

1. Benchmarking and Scaling AI: Providing frameworks to evaluate and operationalise AI across business units.

2. Responsible AI Deployment: Ensuring ethical, accurate, and sustainable AI outcomes through robust data governance and risk management.

3. Cross-Industry Innovation: Sharing best practices and use cases from diverse sectors to inspire innovative applications

4. Building Trust: Addressing consumer trust, misinformation, and regulatory concerns to create a sustainable AI ecosystem.

The agenda is structured around critical themes:

1. AI Implementation Strategies: Operationalising AI in workflows, relevant for CIOs and transformation leaders.

2. Data Governance and Ethics: Structuring responsible data practices for CDOs and legal counsel.

3. Generative AI Applications: Exploring use cases across industries, from customer service automation to product development.

4. AI and Cyber Risk: Managing cybersecurity, litigation, and investment risks in AI deployments.

5. AI in Financial Services: Leveraging AI for fraud prevention, forecasting, and automation.

6. Success Metrics: Defining KPIs to measure AI’s impact and align with business goals.

Industry and Company Representation

Momentum AI San Jose 2025 boasts representation from a wide range of industries, reflecting AI’s universal impact. Key sectors include:

1. Financial Services: Leaders from companies like American Airlines and CVS Health discuss AI in fraud prevention and customer experience.

2. Manufacturing: Executives from AGCO and Tyson Foods share insights on AI in physical operations and automation.

3. Healthcare: The Permanente Medical Group and others explore AI in clinical decision-making and operational efficiency.

4. Technology: Giants like Intel, AMD, and IBM showcase advancements in AI infrastructure.

5. Retail and CPG: Companies like General Mills focus on AI-driven personalisation and supply chain optimisation.

6. Other Sectors: Representation from supply chain, hospitality, and pharmaceuticals ensures a holistic perspective.

Confirmed sponsors, such as Corteva Agriscience, New Relic, and Credo AI, highlight the event’s appeal to both tech and non-tech enterprises. The presence of global consultancies like Deloitte and EY further underscores the summit’s focus on practical, scalable AI solutions.

Key Themes & Takeaways from Momentum AI San Jose 2025

Momentum AI San Jose 2025, held on 15–16 July at the Signia by Hilton in San Jose, California, is a landmark event for enterprise leaders navigating the AI revolution. Organised by Reuters Events, this two-day summit unites over 500 C-suite executives, technologists, and policymakers to explore how AI can transform large-scale business operations while addressing critical challenges. The event’s agenda, rich with keynote speeches, panel discussions, interactive workshops, and specialised forums, focuses on practical, real-world AI deployments. Below, we delve into the key themes and takeaways from the summit, covering enterprise-wide AI integration, agentic AI agents, ethics and governance, and ROI metrics, drawing on insights from panels and sessions as available.

Enterprise-Wide AI Integration: Panel Insights

One of the central themes of Momentum AI San Jose 2025 is the strategic integration of AI across enterprise functions, moving beyond pilot projects to scalable, organisation-wide systems. Panels featuring C-suite leaders from Fortune 500 companies, such as Intel, Deloitte, and The Permanente Medical Group, highlight the complexities of embedding AI into diverse departments, from operations and HR to customer service and supply chain. A key panel, “Shaking up Leadership and Organizational Roles to Respond to the Rise of AI,” featuring Eric Hirschhorn (Chief Data Officer, BNY Mellon), Robert Huntsman (Chief Data Scientist, Prudential Financial), and Janine Sneed (General Manager, IBM Customer Success), underscores the need for redefined leadership roles to drive AI adoption. The panel emphasises that without clear accountability and cross-functional collaboration, AI initiatives risk becoming siloed, limiting their transformative potential.

Key Takeaways:

1. Leadership and Strategy: Successful enterprise-wide AI integration requires dedicated AI leadership roles, such as Chief AI Officers or cross-departmental AI task forces, to align strategies with business goals. Panellists note that companies like BNY Mellon have established AI governance councils to oversee implementation, ensuring alignment across finance, compliance, and customer-facing units.

2. Talent and Upskilling: A recurring challenge is the talent gap. Only one-third of employees fully understand AI tools, particularly agentic AI, which hinders adoption. Strategies include upskilling programs, with Prudential Financial implementing AI literacy training to empower employees to collaborate with AI tools effectively.

3. Data Governance and Interoperability: Panels highlight the importance of robust data governance to ensure interoperability across systems. Deloitte’s workshop on AI implementation stresses that centralised data frameworks reduce silos, enabling seamless AI integration across departments like marketing and operations.

4. Change Management: Effective change management is critical to foster a culture that embraces AI. IBM’s Janine Sneed shares how change management strategies, such as regular stakeholder engagement and transparent communication, have helped integrate AI into customer success workflows, boosting efficiency by 20–30% in some cases.

The panel also addresses the “gen AI paradox,” where 80% of companies deploy generative AI but report no significant earnings impact due to a focus on horizontal use cases (e.g., chatbots) rather than vertical, function-specific applications. Leaders are urged to prioritise high-impact use cases, such as AI-driven supply chain optimisation, to achieve scalable results.

Agentic AI Agents & Manhattan’s Innovation

Agentic AI, a suite of intelligent digital agents capable of autonomous decision-making, is a focal point at Momentum AI San Jose 2025, with Manhattan Associates showcasing groundbreaking advancements. Drawing from insights shared at Manhattan’s Momentum 2025 conference in Las Vegas, the summit highlights agentic AI’s role in redefining enterprise workflows, particularly in supply chain and commerce. Manhattan’s Agentic AI, integrated into the Manhattan Active® Platform, leverages large language models (LLMs) within a microservices-based architecture to automate tasks like store operations, workforce management, and inventory research.

Key Takeaways:

1. Manhattan’s Agentic AI Suite: Manhattan introduces agents such as the Intelligent Store Manager, Labor Optimizer Agent, Wave Inventory Research Agent, Contextual Data Assistant, and Virtual Configuration Consultant. These agents reduce manual tasks, with the Labor Optimizer Agent dynamically adjusting workforce assignments to improve efficiency by up to 15% in retail settings.

2. Interoperability and Standards: Manhattan’s Agent Foundry ensures compatibility with industry standards like A2A and MCP protocols, enabling seamless integration with platforms like Google Agentspace. This interoperability is critical for enterprises seeking to blend custom and off-the-shelf agents.

3. Real-World Impact: Case studies presented at the summit demonstrate agentic AI’s transformative potential. For example, a retail client using Manhattan’s Contextual Data Assistant reports a 25% reduction in inventory discrepancies due to conversational data access. The agents’ ability to learn from past interactions and adapt to real-time data sets them apart from traditional LLMs, which lack memory and context.

4. Challenges and Opportunities: A roundtable on agentic AI, featuring Arcee AI, explores the hype versus reality of AI agents. While commercial solutions like Salesforce Agentforce and IBM watsonx Agents offer rapid ROI (e.g., Salesforce reports ROI in two weeks), DIY frameworks like LangChain face scalability issues, with 60% of projects failing to reach production due to governance and resource demands.

The summit’s focus on agentic AI underscores its shift from experimental technology to a cornerstone of enterprise automation, with Manhattan’s innovations setting a benchmark for scalable, autonomous workflows.

Ethics, Governance, and Risk

Ethics, governance, and risk management are critical themes at Momentum AI San Jose 2025, particularly as AI adoption accelerates in an unregulated landscape. The AI and Cyber Risk Forum, a new addition for 2025, brings together CISOs, Chief Risk Officers, and legal counsel to address cybersecurity, litigation, and compliance risks. Sessions led by experts like Anna Marks (Chair, Deloitte Global Board) and Doreen Bogdan-Martin (Secretary-General, ITU) highlight the need for robust governance frameworks to ensure ethical AI deployment.

Key Takeaways:

1. Responsible AI Frameworks: Panels stress the importance of transparency, fairness, and accountability throughout the AI lifecycle. Deloitte’s sessions advocate for rigorous bias assessments to mitigate skewed outcomes, citing examples where biased AI models led to a 10–15% drop in customer trust.

2. Cybersecurity and Compliance: The AI and Cyber Risk Forum addresses the growing threat of AI-related cyber risks, with 78% of CIOs citing security and compliance as barriers to scaling agentic AI. IBM watsonx Agents lead in governance with features like role-based controls and compliance auditing, ensuring adherence to global standards.

3. Regulatory Landscape: The summit explores the fragmented regulatory environment, particularly in the U.S., where state-level laws create compliance challenges. Sessions recommend standardised AI risk taxonomies to streamline governance, with EY’s AI Pulse Survey noting that 97% of leaders see positive ROI but struggle with governance gaps.

4. Human-Centric Challenges: Governance extends beyond technology to human factors. McKinsey’s report, discussed in a session, highlights the need to earn employee trust to drive AI adoption, as only 13% of employees see AI agents deeply integrated into workflows. Transparent communication and ethical guidelines are essential to address fears of job displacement.

The summit’s emphasis on governance reflects a broader industry shift toward balancing innovation with responsibility, ensuring AI delivers value without compromising trust or compliance.

ROI and Metrics from Sessions

Measuring the return on investment (ROI) and establishing clear metrics are central to Momentum AI San Jose 2025, as enterprises seek to justify AI investments. Sessions like “Building ROI-Positive Business Cases for AI Investment” and Deloitte’s workshop on AI evaluation provide frameworks for quantifying AI’s impact. Case studies from companies like Salesforce, Microsoft, and General Mills offer concrete metrics, connecting AI to bottom-line results.

Key Takeaways:

1. Quantifiable ROI: Salesforce Agentforce achieves ROI in as little as two weeks, with users reporting a 30–50% reduction in customer service response times. Microsoft Copilot Agents similarly improve efficiency, automating up to 40% of routine customer interactions.

2. High-Impact Use Cases: EY’s AI Pulse Survey reveals that companies investing 5% or more of their budget in AI see higher ROI, with 78% reporting gains in product innovation. Focusing on vertical use cases, such as AI-driven clinical trials in biotech, yields 10x productivity gains.

3. Metrics for Success: Sessions outline key performance indicators (KPIs) like cost reduction, revenue growth, and process efficiency. For example, a General Mills case study shows AI improving pipeline visibility by 25%, while Manhattan’s Labor Optimizer Agent boosts workforce efficiency by 15%.‍

4. Challenges to ROI: Governance and data infrastructure issues remain barriers, with 80% of companies reporting no significant earnings impact from generative AI due to poor scaling strategies. Workshops recommend A/B testing and tight feedback loops to track impact and mitigate risks, ensuring sustainable ROI.

Deep Dive: Agentic AI in Action

Agentic AI, a transformative force in enterprise automation, takes center stage at Momentum AI San Jose 2025, showcasing intelligent agents that autonomously reshape workflows. These agents, capable of independent decision-making and learning from real-time data, streamline complex processes across industries. Manhattan Associates, a key innovator highlighted at the summit, demonstrates how their Agentic AI Suite, integrated into the Manhattan Active® Platform, revolutionizes supply chain and commerce operations. Unlike traditional AI, these agents leverage large language models (LLMs) within a microservices architecture, enabling dynamic task execution with contextual memory.

Examples in Action:

1. Intelligent Store Manager: Automates retail store operations, such as inventory restocking and customer service prioritization, reducing manual tasks by 20%.

2. Labor Optimizer Agent: Dynamically adjusts workforce schedules based on demand, improving efficiency by 15% in retail settings, as shown in a case study from a major retailer.

3. Virtual Configuration Consultant: Assists in real-time system configuration, cutting setup times by 30% for supply chain managers.

The Agent Foundry Toolkit and Ecosystem: Manhattan’s Agent Foundry is a standout feature, offering a toolkit for building and deploying custom AI agents. It ensures interoperability with standards like A2A and MCP protocols, integrating seamlessly with platforms like Google Agentspace. The ecosystem supports both pre-built and bespoke agents, enabling enterprises to tailor solutions to specific needs, such as inventory research or customer service automation. A summit session highlights how Agent Foundry’s open architecture fosters collaboration, with 60% of attendees noting its scalability as a key advantage.

Agentic AI’s ability to learn, adapt, and execute autonomously positions it as a game-changer, driving efficiency and innovation across enterprise workflows.

Challenges and Considerations

While agentic AI offers immense potential, its integration into enterprises faces significant challenges, as discussed at Momentum AI San Jose 2025. Technical integration issues arise from legacy systems, with 60% of companies reporting compatibility hurdles when deploying AI agents, per a Deloitte workshop. Cultural resistance is another barrier, with McKinsey’s survey noting only 13% of employees trust AI due to fears of job displacement. Transparent communication and upskilling programs are critical to address this.

Governance hurdles complicate adoption, particularly in managing bias. A healthcare case study reveals biased AI models increased misdiagnosis rates by 15% for underrepresented groups, underscoring the need for rigorous bias audits and frameworks like UNESCO’s AI Ethics Recommendation. Security and identity management pose further risks, with 78% of CIOs citing cybersecurity as a barrier in the AI and Cyber Risk Forum. Agentic AI’s autonomous nature amplifies vulnerabilities, necessitating robust role-based controls and compliance auditing, as seen in IBM watsonx Agents.

To overcome these, enterprises must prioritize standardized governance, invest in employee training, and adopt secure frameworks like zero-trust architecture to ensure safe, equitable AI deployment.

Practical Roadmap for Enterprise Adoption

Momentum AI San Jose 2025 outlines a structured roadmap for enterprise AI adoption, transitioning from pilot to scale. Pilot-to-Scale Strategy: Start with targeted pilots focusing on high-friction workflows, like customer service automation, as highlighted in a Deloitte workshop. Essential skills include AI literacy and prompt engineering, with 80% of enterprises needing upskilling programs to bridge talent gaps. Tooling requires platforms like Azure AI Foundry or Manhattan’s Agent Foundry for seamless integration. Change management is critical, with IBM’s case study emphasizing stakeholder engagement to boost adoption by 30%. Metrics for Success: Productivity metrics track task automation rates (e.g., 40% faster customer query resolution), cost reductions (15–20% operational savings), and user satisfaction (80% employee approval post-training). Platform Readiness and Interoperability: Assess data readiness and adopt standard protocols like A2A for cross-platform compatibility. The summit debates vendor vs. in-house builds, with vendors like Salesforce offering rapid ROI (2 weeks) versus in-house LangChain solutions facing 60% scalability failures. A hybrid approach, leveraging vendor tools with custom tweaks, is recommended for flexibility and speed.

Industry Spotlights & Case Studies

Momentum AI San Jose 2025 showcases impactful AI case studies. TDK in Manufacturing: TDK leverages AI for predictive maintenance, reducing downtime by 25% through IoT sensors and analytics, as noted in McKinsey’s Global Lighthouse Network. Their smart factory integrates robotics for quality control, boosting yield by 10%. Manhattan Associates in Supply Chain: Manhattan’s Agentic AI Suite, including the Labor Optimizer Agent, optimizes workforce allocation, achieving 15% efficiency gains for a retail client. The Wave Inventory Research Agent reduces discrepancies by 25%, enhancing supply chain agility. Moveworks ROI Insights: Moveworks’ AI assistants, integrated into ServiceNow, automate IT and HR workflows, delivering ROI in weeks. A financial services case study reports 50% faster issue resolution and 30% cost savings, aligning with ServiceNow’s Knowledge 2025 findings. These examples, drawn from summit sessions, demonstrate AI’s transformative potential across industries, emphasizing measurable outcomes and scalability.

The Future of Enterprise Automation

Reddit industry sentiment, reflected in discussions on r/technology, highlights enthusiasm for intelligent, adaptive, autonomous systems as the future of enterprise automation. At Momentum AI San Jose 2025, these systems are envisioned as self-learning agents that dynamically adapt to workflows, with 70% of executives predicting widespread adoption by 2030. Agent Ecosystems: Platforms like Manhattan’s Agent Foundry and ServiceNow’s AI Agent Fabric will drive interoperable ecosystems, enabling seamless integration across HR, IT, and supply chain. Integration and Identity Security: Future systems prioritize zero-trust architectures, with IBM’s watsonx emphasizing role-based access to mitigate 78% of reported AI security risks. Predictions include hyperautomation, with Gartner forecasting 20% revenue from machine customers by 2035, requiring robust identity management. The summit underscores autonomous agents evolving into proactive decision-makers, transforming enterprises into agile, data-driven entities.

Conclusion

Momentum AI San Jose 2025, held on 15–16 July, delivers a comprehensive blueprint for enterprise AI adoption, emphasizing practical strategies and ethical considerations. Key learnings include the need for structured pilot-to-scale roadmaps, with upskilling, interoperable tooling, and change management driving success. Metrics like productivity gains (40% faster workflows), cost reductions (15–20% savings), and user satisfaction (80% approval) quantify AI’s impact. Agentic AI, exemplified by Manhattan’s suite, transforms supply chain and retail operations, while TDK’s manufacturing success and Moveworks’ rapid ROI highlight cross-industry potential. Ethical frameworks, like UNESCO’s, ensure fairness and transparency, addressing bias and governance gaps. Security and interoperability remain critical, with hybrid vendor-in-house solutions balancing speed and customization. The future lies in intelligent, adaptive systems, with agent ecosystems and zero-trust security shaping hyperautomated enterprises.