Tuesday, October 22, 2024

Learning outcomes:

Find out how Microsoft finance has continued its journey of evolution and deployed technology & AI to innovate and move closer to value creation.

• Learn specific examples where the creation of reports have been automated.

• Focus shift from production to value creation.

Learning outcomes:

In recent years, there has been a significant shift in the definition of value from focusing solely on profits and shareholders to emphasizing societal benefits and stakeholders. This is redefining 'value' and 'prosperity' within the financial community. Investors now expect companies to create value through sustainable practices.

In a discussion with Ash Noah hear from Evangelos Kontogiorgis, Head of Corporate Audit at Coca-Cola HBC Group, how they are re-defining Finance, creating sustainable value through predictive analytics and machine learning in areas including demand forecasting, promotions management and segmentation of the customer base to tailormade commercial execution. He will give us some practical examples and insights on how these shifts can be achieved.

Piotr Malinowski and Krzysztof Skajewski will share NatWest’s transformative journey of how the team achieved a data asset that is commonly used by Risk & Finance leveraging data from tens of sources covering details of millions of customers transactions to generate real value through simplification of processes and insight generation that aided the business.

Learning outcomes:

• Aspects of governance that are key to consider as part of data transformation.

• Ways to address data controls and quality.

• Things that helped accelerate turning data to into decisions and user adoption.

• Lessons learnt two years down the programme and capabilities shift.

• How to create common data set and enable it for multiple reporting outcomes.

Learning outcomes: Generative AI has been on the front pages of the media for nearly 2 years.

Many positive and some negative news seem to form an emotional roller-coaster.

Apart from emotions there is extensive and convincing evidence about many improvements to business models, business processes and increasing efficiency attributed to AI.

It is time to execute the blue ocean strategy and ride this AI wave.

Learning outcomes:

• The role of technology in enterprise innovation.
• Evolutionary and revolutionary technology, and what makes it effective.
• Artificial Intelligence (Generative Artificial Intelligence) and its fundamental difference from traditional data processing technology.

Learning outcomes:

Business success in the digital world requires much more than leveraging digital systems. It requires an inside-out transformation grounded in talent, culture and mindsets.

Attendees will learn:

1. How BMO has adopted a Digital First operating model to achieve speed, scale and the elimination of complexity.
2. How technology is used to enhance performance and improve security posture.

Learning outcomes:

By the end of this workshop, participants will have a clear roadmap for adopting Generative AI within their organization, while addressing critical factors such as platform choice, team engagement, and data governance.

1. Understand practical applications of Generative AI.
2. Identify key steps in Generative AI implementation.
3. Explore available platforms and cost considerations.
4. Learn best practices for team adoption and experimentation.
5. Examine data management and governance challenges.

Learning outcomes:

• Complex solutions lead to inter-related outcomes.
• AI and Talent best suited to solve problem with reduced unintended consequences.
• Leading to Sustainable ecosystems

Learning outcomes: Lear how in today’s ever-evolving economic landscape, integrating ESG principles has led to sustainable growth for organizations of all shapes and sizes.

Learning outcomes:

Participants will take part in round-table discussion and will get inspired with ideas of how to lead transformation initiatives in their organizations.

Learning outcomes:

Transformation in any organization involves more than just the implementation of new technologies; it crucially depends on the people who deploy, manage, and use these technologies. Kristine Lemanski and Ash Noah will share key thoughts on why talent—especially talent that can support change management—is essential for successful transformation.

Key learning outcomes that this session will focus on:

• Key principles of change management.
• Breaking down transformation into manageable steps.
• Overcoming resistance and fostering excitement and acceptance.
• How to enhance rather than replace talent by upskilling.

Learning outcomes: The Finance function in BP, supported by their colleagues in talent development, have been transforming their futures. Jamie, Aggie and Ashly will share their journey with examples as to how the finance function is being enabled and equipped to become value creators.