Unless we stop improving AI technology, or unless there is a “silicon ceiling” beyond which AI’s capabilities cannot progress, there will come a time when AIs can do everything that humans can do for money, and do it cheaper, better and faster than we can. We should be thinking seriously now about the kind of economy we will need at that point. Between now and then, people running organisations are asking themselves how best to deploy AI. There is a lot we cannot predict, but there are some important steps we can all take today.

In a world where personalization, immediacy and precision define business success, applying AI to marketing, sales and customer service is not an option, but a necessity.

In this conference you will discover how AI is revolutionizing the way companies attract, convert and retain customers, achieving more human experiences…with technology. We will see real examples of businesses that have multiplied their results by applying intelligent tools to segment audiences, predict behaviors, automate interactions and optimize business strategies with real-time data.

This talk will examine how cultural change management is central to the successful adoption of AI in large organisations. As AI shifts from experimentation to operational deployment, its success increasingly depends not on technology, but on people. Embedding AI at scale requires more than new systems—it demands a shift in mindset, behaviours, and organisational culture.

Key themes include the importance of creating a culture that embraces experimentation, tolerates failure, and values data-driven decision-making. Leaders must model curiosity and adaptability, reinforcing the need for continuous learning at all levels. Upskilling is not a one-off initiative but an ongoing process that integrates technical fluency with domain expertise. Equally critical is addressing fear and resistance by creating psychological safety and clear communication about AI’s role in augmenting, not replacing, human work.

The talk will outline the leadership behaviours, governance structures, and HR processes needed to foster an AI-ready culture. This includes aligning incentives, investing in learning infrastructure, and measuring progress through behavioural metrics—not just adoption rates. Attendees will leave with a practical understanding of how to lead cultural transformation, embed learning agility, and build a resilient workforce capable of adapting to the accelerating pace of AI-driven change.

As part of the energy transition, future pathways and digital transformation, ISA and its businesses have adopted a robust data, analytics and artificial intelligence (AI) strategy to drive efficiency, sustainability and competitiveness. This talk, at the AI for Business Summit Latam 2025, provides a strategic overview of the advances and challenges faced in the implementation of AI and emerging technologies, highlighting their impact on the industries where ISA operates.

ISA and its companies have integrated advanced technologies such as robotics, advanced analytics and AI, with the goal of becoming a data-driven organization. Its data, analytics and AI strategy is structured on six key pillars:

1. 1. Establish a Governance Model that ensures alignment of data and artificial intelligence initiatives with corporate strategic objectives and compliance with regulatory and ethical standards. This includes proactive risk management and the promotion of transparency in all artificial intelligence operations, which is essential to build and maintain trust with stakeholders.
   2. Integrate advanced analytics and artificial intelligence technologies at the heart of strategic business initiatives, transforming processes to maximize operational efficiency and excellence in all operations
   3. Strengthen internal capabilities and leverage with allies, to have highly specialized personnel in data analysis and artificial intelligence, not only in IT but also in the business areas, overcoming existing knowledge gaps and attracting the best talent.
   4. To achieve an enhanced use of data and the appropriation of state-of-the-art tools to optimize information management and facilitate democratic access to it, speeding up, anticipating and enriching the decision-making process.
   5. Establish cybersecurity as a critical axis, guaranteeing exhaustive control over access and confidentiality of information.

Through the implementation of more than 1,300 digital agents, advanced monitoring and control systems with drones and AI, predictive models for energy flow management and integration of renewable energy sources, digital twins for road infrastructure management, among others, ISA advances in the construction and operation of intelligent infrastructures, which drive the energy transition and mobility with intelligence, resilience and sustainability, achieving in 2024 benefits of more than USD 10.63 million.

The conference will focus on the applicability of artificial intelligence (AI) in shared services and logistics businesses. It will present how organizations have integrated AI into their daily activities, facilitating decision-making and optimizing operational processes that were previously extremely complex. Specific examples will be provided to illustrate how AI can manage routine tasks, allowing teams to focus on strategic and higher-value initiatives. In addition, key questions that users should ask AI and best practices for interacting with it in a real-world environment will be discussed.

The conference will also explore how to lead an organization that incorporates automation and AI processes into its corporate objectives, highlighting the importance of effective communication, commitment, and transparency for the team. The change processes necessary to foster an organizational culture that values and leverages AI will be addressed, ensuring that teams are motivated and aligned with innovation and efficiency goals.

The conference aims to provide attendees with tools and strategies to effectively implement AI in their own organizations, promoting an environment of corporate and cultural change.

In just over a year, NesGPT has evolved from a pilot project into Nestlé’s main global Generative AI platform used by more than 90,000 employees worldwide.

Designed to deliver secure, compliant, and context-aware AI assistance, NesGPT enhances productivity for all colleagues and functions – from HR and Legal to Compliance and Manufacturing.

During the session, we will explore NesGPT’s journey both from a technical as well as a change management perspective.

We will discuss how we built a modular architecture leveraging LLMs, Retrieval-Augmented Generation (RAG), and semantic search, and how we scaled adoption across the organization, with a framework of communication and change management initiatives helping collogues worldwide embrace the novelty.

We’ll also address NesGPT’s key challenges, such as ensuring content quality, freshness, and validation amid rapid growth, and share our vision for the future including: real-time learning loops, deeper system integrations, and a unified cross-channel experience.

Join this session to discover how we’re enhancing the solution by integrating proprietary knowledge and domain-specific AI Assistants, and supporting adoption through seamless embedding into enterprise applications.

Learn more about how Nestlé is leveraging Generative AI from a promising innovation into a scalable driver of productivity and knowledge sharing.

Artificial intelligence is already a concrete reality transforming business processes and strategies.

In this session, Ambhi Ganesan from IBM and Humberto Fukuda from Oracle, will explain what will be the new AI developments for business in the short and medium term and will present strategies, success stories and recommendations for organizations to implement them properly and generate sustainable competitive advantages in the long term.

• With Agentic AI and multi-agent architectures, companies adopt autonomous agents that collaborate and make complex decisions.
• The AI Factory accelerates the development of intelligent solutions in an industrialized way.
• Physical AI brings intelligence to the real world with perception and action.
• Quantum computing begins to open up new frontiers previously unimaginable

This revolution is both technological and cultural, redefining how business is done across all industries.