Fuelling the AI journey
 

Keynote Presentation

Generative AI is rapidly reshaping industry landscape, organizations face the critical challenge of moving beyond hype, experimentation to create tangible business value. This session explores how AWS is innovating with Generative AI and enabling enterprises to transform innovation possibilities to drive business outcomes. Through real-world implementation examples and strategic insights, learn how organizations are leveraging AWS GenAI services to accelerate time-to-value  while managing risk and costs and how to build organizational capabilities to ensure AI adoption.
 

Presentation

Transforming AI from concept to reality requires a structured, actionable strategy that aligns with organizational goals and gains executive buy-in. This presentation outlines the blueprint for building a successful AI roadmap, starting with the identification of high-impact use cases that address specific business challenges. We’ll discuss methods for setting and tracking ROI metrics to demonstrate tangible value, ensuring ongoing support from the C-suite.

By combining practical insights with proven frameworks, this session will equip you to build a compelling case for AI that drives innovation, enhances productivity, and generates sustainable value across the organisation.
 

Panel discussion

AI is redefining industries, reshaping everything from customer experiences to operational efficiency and innovation. This panel brings together leaders from key sectors—including healthcare, finance, retail, and manufacturing—to discuss how AI is transforming their fields. Panelists will share real-world examples of AI in action, highlighting the benefits, challenges, and future potential within their industries. We’ll explore how AI is driving new business models, improving decision-making, and enhancing productivity. Join us to gain insights into the diverse ways AI is impacting industries today and learn how to harness its transformative power to stay competitive in an evolving market landscape.
 

Panel discussion

AI is reshaping industries in profound ways, moving far beyond traditional applications like chatbots to unlock new possibilities and drive innovation. This panel brings together leaders from diverse sectors to discuss how AI and large language models (LLMs) are revolutionising their fields—from predictive analytics in finance to personalized healthcare solutions and automated content generation.

We’ll delve into innovative use cases that leverage LLMs for tasks like knowledge management, process automation, and decision support, showcasing the versatility and impact of these technologies. Join us to discover how organizations are harnessing the full potential of AI to create value and transform their industries.
 

Presentation

The future of software development is here and it’s not just about adding AI into existing processes. Forrester predicts that low-code and GenAI will give birth to a whole new category of “App Generation” platforms, while Gartner forecasts that AI-powered low-code will outperform traditional development with coding assistants.

At OutSystems, we’ve been at the forefront of this transformation since 2001. With Mentor, our AI-powered digital team member, we’re taking application development to the next level. With OutSystems, businesses already build mission-critical software 10x faster at 20% of the cost—now, Mentor takes it further, turning ideas into applications in minutes.
 

With Mentor, enterprises can:

• Instantly generate full-stack apps using AI
• Automate the software development lifecycle to eliminate busywork
• Embed generative AI into applications in minutes, not months
• Ensure security and quality with AI-powered validation

Join OutSystems as we explore how AI and low-code are accelerating innovation, unlocking new levels of efficiency and reshaping the way businesses develop custom software.

Panel discussion

Businesses are striving to gain benefits from AI through its embedding in business operations. How can this be achieved most effectively?

What are the cultural challenges and how can we seek to help colleagues to use and interact with AI to best effect?
 

Panel discussion moderated by Sajesh Gopinath

Bringing AI from the lab to large-scale deployment requires more than technical know-how; it demands speed, flexibility, and a robust strategy. This session will guide participants through the process of accelerating AI solution development—from quick experimentation to full deployment—while embracing a “fail fast, learn faster” mindset. The discussion will cover designing agile development cycles, maximising learning, reducing time to market, and implementing practical approaches for scaling AI solutions. Panelists will share insights on streamlining workflows and building infrastructure to support continuous improvement, ensuring AI initiatives quickly deliver meaningful impact across the organisation.