June 6-7, 2023
CDAO Germany schedule
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08:15
Day One - REGISTRATION & LIGHT BREAKFAST
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09:15
Chair's Opening Remarks
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09:30
Keynote Presentation: Transforming a Business into a Hyper-Intelligent Organisation with Enterprise AI
Carl-Johan Nakamura - Chief Data Officer - Zeiss
- How to embed enterprise AI in a large legacy company
- What are the processes regarding implementation at scale?
- How does one navigate the regulatory challenges around AI?
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10:00
Keynote Presentation: How to Leverage a Modern Data Infrastructure to Lead Business Transformation
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10:30
Panel Discussion: Achieving Value at Scale by Implementing AI & Advanced Analytics Across Different Levels of Maturity
Achieving Value at Scale by Implementing AI & Advanced Analytics Across Different Levels of Maturity
- What is the base data maturity level required for AI powered advanced analytics?
- How can this contribute to value creation in the business?
- Achieve a single, unified view of your customer data at speed with Artificial Intelligence
- Can AI solve the problem of being scalable when dealing with increasing data volumes?
- What is the value of automation & ML-Ops as part of this process?
Panelists include:
Cornelia Schaurecker, Global Group Director AI & Big Data, Vodafone
Michael Haszprunar, Chief Data Scientist – My BMW App, BMW
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11:15
Networking Break
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11:45
Keynote Presentation: Delving Into the Deep Impact of AI Regulations on Business Operations & Ethics
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12:15
Keynote Presentation: Enhance and Operationalise AI Decision Making Models Using ML-Ops
Michael Haszprunar - Chief Data Scientist - My BMW App - BMW
- Increase resilience and precisions by motivating your data scientists to apply A/B testing
- Building processes that are capable of supporting software deployment and model lifecycle management
- Is it useful to stay cloud agnostic, or are you better off concentrating on one cloud provider and its services?
- Enhance flexibility for data scientists by choosing the right ML-Ops tools for them
- How to gain investment for distinct ML-Ops personnel and maximise the potential of AI
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12:45
Networking Lunch
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13:45
Keynote Presentation: Empowering your Workforce with an Analytics for All Approach
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14:15
Panel Discussion: Maximising Digital Acceleration with the Appropriate Leadership
- What can be done to increase synergy with technology to overcome data silos?
- In a digital, and often hybrid/virtual working environment, what can you do to drive collaboration and innovation?
- How to navigate economic challenges with leadership strategy for digital transformation that drives growth
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15:00
Networking Break
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15:30
Choose Your Discussion Group:
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15:30
Discussion Group 1 - Is ‘Building a Data Culture’ worth the Effort of the Business Investment Required?
- Is a data driven culture achievable without executive leadership that doesn’t own and drive the usage of data?
- How much training do data champions need to break down silos and promote a culture of collaboration?
- Is a data driven culture even a concern until trusted data is sharable and accessible?
- How much is a data literacy a critical skill for every role?
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15:30
Discussion Group 2 - Are Data Leaders thinking About the Future of Technological Transformation in the Right Way?
- How important is the ability to transcend traditional organisation barriers for a data executive?
- Do you need technical expertise to be a strong data leader?
- What are the major technological trends that require more devoted focus?
- Can someone without technical precision see through the hype and deliver a united vision for the whole organisation?
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16:15
End of Day 1 - Networking Drinks
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08:30
Day Two - REGISTRATION & LIGHT BREAKFAST
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09:20
Chair's Opening Remarks
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09:30
Keynote Presentation: How E.ON is Transforming a Systemically Relevant Industry with Data, Technology & Algorithms
Dr. Christian Essling - Global Head of Data, Analytics & IoT - E.On
- Utilising AI to facilitate the energy transition
- What role will quantum computing play in future transformations
- How drones have been harnessed to implement high voltage cables
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10:00
Keynote Presentation: Bringing Together Operational and Analytical Data to Deliver Advanced Customer Experience
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10:30
Panel Discussion: How Do We Evolve Data to Become a Truly Value Driven Product
- What metrics can be used to measure data attributes?
- Creating a standardised product to be consumed by everyone
- Is data a product in itself or does it need to be tied to a predictive analytics model or automation
Pedro Duarte, Head of Client Data Insights, BNY Mellon
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11:15
Networking Break
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11:45
Keynote Presentation: Balancing Robust Data Foundations with Quick Wins for Executive Buy-In
Romina Pyplacz - Head of Data Management & Governance - E.ON
- Overcome data inertia by implementing initiatives with clearly measurable monetary value
- Bring together the story of data with the language of business to maximise investment
- Is a top down or bottom-up approach better for creating a data-driven culture?
- Remove the perception of data as a technical business component to build agility
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12:30
Keynote Presentation: What is the Importance of Data Mesh vs Data Fabric for Your Business to Generate Value?
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13:00
Networking Lunch
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14:00
Keynote Presentation: Building a Data Monetisation Strategy: Brining Value to Your Organisation
Gareth Farr - Head of Data Science & AI - HypoVereinsbank - UniCredit
- What are the different ways data monetisation can be leveraged for a business?
- How to avoid missing and start seizing opportunities for data monetisation
- Navigating the regulatory challenges of data monetisation
- Creating a mind-shift with data as a quantifiable and tangible asset
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14:30
Panel Discussion - Building a Framework for Bringing the Right Data Under Governance at the Right Time for the Right People
- When dealing with vast amounts of data, generate a framework for prioritising what data to bring under governance
- How to build appropriate controls for data governance to mitigate risk
- Establish key compliance benchmarks to continuously monitor and improve master data
- Ensuring data architecture includes standardisation and metadata management
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15:15
Close of Conference
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