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Highlights from Solita Summit 2024: Unlocking the future of cloud, data, and AI

Angeline Johnson Sustainability and Transformation Enabler, Solita

Published 19 Nov 2024

Reading time 3 min

The Solita Summit 2024 was epic with almost 4000 subscribers and over 25 presentations focused on cloud enablement, AI, and digitisation with actual client use cases. Below we provide you with a quick hit summary of each track.

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Data & AI track

This track focused on both finding new, innovative use cases to leverage AI as well as practical examples on how to build a solid foundation to be able to sustainably scale data and AI for business value.

Other organisations embed AI innovation into their existing organisation while others establish a dedicated lab or internal start-up. The track presentations covered both.

As the fundaments of any AI is a robust data foundation, these presentations also shed light on how to ensure enough representative data is captured, and how to ensure the data is accessible, interoperable and reusable.

Many organisations have also acknowledged that success with AI and data does not lead purely on technology, people, organisation and business understanding are equally critical elements!

Cloud track

There were 4 areas of focus across all the cloud presentations. Cloud provides improved security, innovation enablement, cross-functional collaboration and operational efficiency.

In the area of Security and collaboration, the presentation by FIMEA was a great example of a public organisation choosing cloud and how they engaged stakeholders. The Cloud Security Posture Management session showed the use of these tools for multi-cloud automation and monitoring.

For innovation enablement and operational efficiency standpoint, The Institute for Molecular Medicine shared how international research groups could leverage sandboxes with privacy-protected genome data to accelerate studies. Microsoft shared their new adaptive cloud, Arc, to access data and resources from multiple clouds and on-prem resources with 1 control pane. Finally, the team from Saving Bank shared how they leverage cloud to ensure sustained growth and superior customer service.

Digital productivity track

The main recommendation from the digital productivity track was to focus on communication and collaboration.

Next to that, there has been a focus in the first track on cost optimisation by investing in becoming more data-driven by combining integration and ETL knowledge.

During the second track on the Collaborative AI-assisted framework they highlighted that psychological safety is a prerequisite for working with AI and identified a new way of working where they had one computer, one driver interacting with the AI agent and the rest of the team are navigators.

In the third track, we were shocked by the result that 52% of human labour in retail could be automated and that the cost savings started on the shop floor. They used smart calculations to place products in the shop to reduce food waste. As a result, they enhanced their shop performance and increased customer & employee satisfaction.

The last session was on reporting waste volumes and treatments with a history of 6 years, resulting in over 3M data lines per year. They highlighted the containerised architecture to allow an easy transition to the cloud in the future. But the main challenge was how to get the 1000 companies on board with the new solution, this is where communication comes into place.

Summary

At the end of the day, there can be all the technology in the world, but in these ever-changing times, the human factor is the driving force. In addition, the focus on rethinking, retooling, and renewing your organisation in order to play offence vs. defence is key.

What is happening in your organisations and where would you like to see more discussion happening? Some hot topics:

  • Integrating AI and Sustainability into your corporate strategy
  • Risk management in a time of AI, geopolitics, and climate change
  • Having the data to facilitate AI innovation and operational efficiencies
  • Efficient ways to up-skill and retool
  • Rapid design thinking and prototyping to identify new solutions
  • The overload of new tools and how to select the right ones