Businesses
AeraHUB 2026: The Decision Intelligence Global Summit, Hosted by Aera Technology
27 Oct 2026
AeraHUB 26, Aera Technology's Decision Intelligence Global Summit, will take place October 27–28 in New York City. The event brings together leaders from ExxonMobil, Coca-Cola, AstraZeneca, Mars, Harvard Business School, Accenture, Deloitte, and EY to explore the future of intelligent, autonomous, and accountable enterprises.
Artificial intelligence is entering a new phase in the global enterprise. The conversation is rapidly shifting from what AI can generate to what AI can decide, execute, and ultimately be held accountable for.
As organisations deploy increasingly sophisticated AI agents, the stakes are rising. Decisions once made by executives, analysts, and operational teams are being augmented, accelerated, and, in some cases, automated by intelligent systems. From global supply chains and financial planning to procurement, logistics, and inventory management, AI is moving closer to the operational heart of the enterprise.
Yet a fundamental question remains: Are businesses building the governance, trust, and accountability frameworks required for an era in which machines increasingly participate in consequential decisions?
This is the fundamental question being discussed at the AeraHUB 2026, the annual Decision Intelligence Global Summit hosted by Aera Technology, taking place on October 27–28, 2026, at Pier Sixty in New York City.
Bringing together enterprise executives, technology innovators, academics, and consulting leaders, the two-day summit will examine how organisations can move beyond isolated AI experiments to build decision-centric enterprises capable of identifying problems, recommending actions, executing decisions, and learning continuously from outcomes.
“Decision Intelligence is not just a technology. It's an approach of moving from people doing the work relentlessly and with no memory to a system that captures the best practices and can automate that work. If you put that layer of intelligence that can automate decisioning, you're going to fundamentally finally break the silos.” - Fred Laluyaux, Co-founder, President, and CEO of Aera Technology, in the Dinis Guarda YouTube podcast interview
The AI Decision-Making Paradox: More Intelligence, Less Confidence?
The rapid adoption of AI has not eliminated one of the most persistent challenges in business leadership: making reliable decisions under uncertainty.
Research figures attributed to Deloitte indicate that 85% of business leaders regret or question decisions they have made, while 72% report that overwhelming data volumes and insufficient trust in available information contribute to decision paralysis.
These findings highlight an increasingly important contradiction in the AI economy. Organisations have access to unprecedented quantities of data, advanced analytics, predictive models, and generative AI tools. Yet greater access to intelligence does not automatically translate into better business decisions.
At the same time, AI is becoming embedded in executive decision-making. Deloitte figures cited in research on AI and decision-making suggest that 60% of executives regularly use AI to support their decisions, while a further projection indicates that 50% of business decisions could be augmented or automated by AI agents by 2027.
These trends suggest a major shift in how enterprises will operate.
The challenge is no longer simply whether AI can provide an accurate recommendation. It is whether an organisation can turn that recommendation into an authorised, coordinated, measurable action while preserving accountability.
Unlike traditional business intelligence, which primarily helps organisations understand what has happened, decision intelligence connects data, predictive analytics, business rules, optimisation, AI, and operational workflows to determine what should happen next.
In increasingly autonomous environments, it also provides the mechanisms through which decisions can be executed, monitored, evaluated, and improved.
AeraHUB 2026: Bringing the Decision-Centric Enterprise to Life
Against this backdrop, Aera Technology is convening its annual global summit around a central proposition: the future enterprise will be organised increasingly around intelligent, connected, and continuously improving decisions.
Aera Technology develops decision intelligence software designed to help organisations augment and automate business decisions across complex operational environments.
Its platform, Aera Decision Cloud, connects business data, decision models, analytics, AI capabilities, and operational workflows to support decisions that can be governed and executed at enterprise scale.
The company's approach places particular emphasis on decision memory: the ability to retain information about previous decisions, their context, actions, and outcomes so that future decisions can improve.
AeraHUB 2026 will explore what this operating model looks like in practice, with enterprise customers discussing their adoption journeys, technology leaders presenting new capabilities, and industry experts examining the organisational implications of intelligent automation.
The summit will feature keynote presentations, executive conversations, product demonstrations, industry case studies, training workshops, and networking opportunities.
Importantly, the event is designed to address organisations at different stages of adoption, from those identifying their first decision intelligence use cases to enterprises seeking to scale automation and autonomy across multiple functions.
Fred Laluyaux and the Vision of the Decision-Centric Enterprise
One of the summit's central sessions will be the opening keynote, "The Decision-Centric Enterprise," presented by Fred Laluyaux, Co-Founder, President and CEO of Aera Technology.
Fred will outline a vision for enterprise AI in which competitive advantage is increasingly determined by how effectively organisations make and execute decisions, rather than simply by the sophistication of the models they deploy.
This represents an important shift in the enterprise AI debate.
For much of the generative AI era, attention has focused on model performance, computing infrastructure, data availability, and the emergence of increasingly capable AI agents.
But as AI capabilities become more widely accessible, the ability to connect intelligence to business authority, operational execution, and measurable outcomes could become a more important differentiator.
The decision-centric enterprise is built around the idea that decisions should not remain isolated within departments, applications, or disconnected workflows.
Instead, decisions should be coordinated across the organisation, informed by shared context, governed by clear policies, and continuously improved through feedback.
The implications extend across supply chains, finance, procurement, operations, and enterprise leadership.
From ExxonMobil to Coca-Cola: Decision Intelligence in the Real Economy
AeraHUB 2026 will feature enterprise leaders sharing practical experiences of applying decision intelligence to complex business operations.
ExxonMobil will be represented by Erwann Lemenager, Global Supply Chain Leader, who will discuss the company's decision intelligence journey in an operating environment affected by commodity fluctuations, geopolitical developments, and changing demand.
The session will explore how organisations identify suitable decisions for automation and how decision intelligence can improve responsiveness across complex supply chains.
Arca Continental Coca-Cola Southwest Beverages will feature Reyes Garcia, Vice President of Supply Chain, discussing the challenges of accelerating digital transformation within a long-established organisation and using decision intelligence to optimise operations.
Mars Snacking will be represented by Shayne Bement, Director of AI & Analytics Product Development, in a session developed alongside Deloitte. The discussion will examine decision intelligence initiatives including network inventory rebalancing and customer allocation.
Sol de Janeiro, represented by Chief Supply Chain Officer Scott Schienvar, will explore how a rapidly growing global beauty brand can use decision-driven enterprise architecture to manage expansion and operational complexity.
Alcon, represented by Global Transportation Head Curt Metzler, will discuss the application of decision intelligence to logistics operations, including inventory availability, order confirmation, and scheduling across distribution networks.
Other participating enterprise leaders include representatives from AstraZeneca, Avantor, Kerry, Bristol Myers Squibb, Nufarm, Oncor, and Wallenius Wilhelmsen.
Together, these sessions will examine how decision intelligence operates beyond the technology sector, across industries where decisions directly affect physical goods, infrastructure, capital, customer service, and global supply networks.
The Autonomous Enterprise and the Future of Work
The implications of decision intelligence extend beyond technology and operational efficiency.
As AI systems become capable of executing increasingly complex decisions, enterprises must reconsider how work is organised, how authority is distributed, and which responsibilities remain with human employees.
Joseph Fuller, Professor of Management Practice and Co-Director of the Managing the Future of Work Initiative at Harvard Business School, is among the featured speakers examining the autonomous enterprise and the future of work.
His participation brings an important organisational dimension to the discussion.
If AI agents can analyse information, coordinate workflows, and execute decisions, what happens to traditional management structures?
Will managers increasingly supervise autonomous systems rather than individual tasks? How will organisations develop employees capable of designing, evaluating, and governing AI-supported decisions?
And how should enterprises balance the productivity benefits of automation with the need for human judgement, institutional knowledge, and clear responsibility?
The next phase of enterprise AI adoption may require not only new technologies, but also new organisational capabilities, professional roles, and leadership practices.
Why AeraHUB 2026 Matters Now
The urgency surrounding decision intelligence comes from the accelerating convergence of three developments.
First, AI models and agents are becoming increasingly capable of supporting and executing complex business tasks.
Second, enterprises are under pressure to demonstrate tangible returns on substantial investments in AI infrastructure, software, and organisational transformation.
Third, governance and accountability frameworks are struggling to keep pace with the growing autonomy of intelligent systems.
Together, these developments are changing the questions that executives must ask.
The traditional enterprise AI conversation focused on whether organisations should adopt artificial intelligence and which use cases offered the greatest potential.
The next conversation concerns how AI-driven decisions should be designed, authorised, executed, audited, and continuously improved.
This is especially important in sectors such as energy, pharmaceuticals, manufacturing, consumer goods, and global logistics, where decisions are interconnected and errors can create substantial operational consequences.
For business leaders, the emerging challenge is not simply adopting AI faster than competitors. It is building organisations capable of using AI responsibly and effectively across thousands of decisions.
AeraHUB 2026 offers a forum for examining that transition through the experiences of enterprises already implementing decision intelligence and the perspectives of technology, academic, and consulting leaders shaping its development.
AeraHUB 2026: Event Details and Registration
Event: AeraHUB 2026 — The Decision Intelligence Global Summit
Dates: October 27–28, 2026
Time: 8:30 AM – 5:00 PM Eastern Time
Venue: Pier Sixty, Chelsea Piers, New York City, United States
Format: In-person event with virtual livestream access to keynote presentations and selected business-track sessions.
Official website: https://events.aeratechnology.com/aerahub26/
Registration: https://events.aeratechnology.com/aerahub26/tickets
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Pallavi Singal
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Pallavi Singal is the Vice President of Content at ztudium, where she leads innovative content strategies and oversees the development of high-impact editorial initiatives. With a strong background in digital media and a passion for storytelling, Pallavi plays a pivotal role in scaling the content operations for ztudium's platforms, including Businessabc, Citiesabc, and IntelligentHQ, Wisdomia.ai, MStores, and many others. Her expertise spans content creation, SEO, and digital marketing, driving engagement and growth across multiple channels. Pallavi's work is characterised by a keen insight into emerging trends in business, technologies like AI, blockchain, metaverse and others, and society, making her a trusted voice in the industry.
