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6th Edition

CDAO GERMANY, FRANKFURT


THE No.1 CONFERENCE FOR GERMANY'S MOST SENIOR DATA ANALYTICS & AI LEADERS

4-5 October
Melia Frankfurt City
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AGENDA

Our agenda for CDAO Germany is packed with content over two days. Check out what's planned for the event in Frankfurt!

  • 4th October - Day One
  • 5th October - Day Two
08:45am
Opening Remarks
09:00am

DATA STRATEGY I – Stakeholder Management

Keynote Presentation: Balancing Robust Data Foundations with Quick Wins for Executive Buy-In
  • 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 building agility

Alexander Borek, Head of Data AnalyticsZalando

09:30am

ARTIFICAL INTELLIGENCE I – Ethical AI

Keynote Presentation: How to Ensure Your AI Models Remain Ethical, Accurate and Bias Free
  • What impact will the 2024 EU regulations have on AI Ethics?
  • How do you make sure human values are kept within AI initiatives?
  • What do you think will be the core components of AI related challenges up to 2030?
  • How can AI help meet the demands of sustainability challenges businesses face?
10:00am

TRANSFORMING THE WORKFORCE I – Data Democratisation

Panel Discussion: Liberty + Data + Democracy = Genuine Business Transformation
  • Enable seamless individual data usage and pipeline management for streamlined efficiency.
  • Delivering comprehensive access to trusted data for advanced productivity across your broader workforce.
  • Encourage innovation by providing the right tools that make stakeholders aware of the data available to them.

Markus Lohman, Chief Data & Technology Officer, Allianz Global Investors

Robin Jose Robin Jose, Chief Data & Analytics Officer, Wefox
11:00am
Refreshments & Networking Break
11:30am
Keynote Presentation: Building an Adaptable Data Culture that Maps on to Changing Business Environments
  • Allow data usage to evolve correctly by discovering the type of data culture that is right for your business
  • What meanings can be given to data so that it is effectively understood across multiple business units?
  • Building your own jargon-free data phrasebook to overcome the semantic challenges of data adoption
  • How data champions can break down silos between teams and foster collaboration and creativity
12:00pm

DATA STRATEGY II – Cloud Migration Projects

Panel Discussion: Successfully Scaling Data Migration to the Cloud
  • How to overcome the security implications of sensitive data in the cloud
  • Carefully manage the questions of dependency and complexity in your transition
  • Cut costs by understanding the different cloud options that fit your needs

Susan Wegner, VP, Artificial Intelligence & Data Analytics, Lufthansa Industry Solutions

12:45pm
Keynote Presentation: Gain Accurate Customer Insights by Deploying NLP with a Business Value Approach
  • How to extract maximum value from unstructured data sets by investing in NLP
  • Be resource efficient by utilising a reusable approach to developing NLP models
  • Ensure sophisticated data privacy requirements are met when deploying high accuracy NLP models
  • Maintain clear AI governance policies to generate explainable NLP models
1:15pm
Networking Lunch
2:15pm

QUALITY & GOVERNANCE – E.ON

Keynote Presentation: Governance Can and WILL Be a Value Asset to Your Organisation!
  • How, and why, should you build automated data governance into your architecture?
  • Strategies for securing buy-in for automating data governance tools
  • Making data governance built into DevOps and along pipelines achievable
  • How can you move from projects to products with data as part of a bigger picture?
2:45pm
Keynote Presentation: Operationalise AI and Decision Models using ModelOps for Empowered Decision Making

Improve productivity and transparency with enhanced collaboration between data scientists, engineers, IT and DevOps

Keep disparate models already in production agile with standardised model validation, monitoring and re-training processes

Turbocharge AI enterprise and innovation with a holistic view of models and pipelines

Demonstrate the ROI of AI initiatives by optimising ModelOps to gathering insights to business KPI’s

3:15pm

DATA STRATEGY III – Monetising Your Data

Panel Discussion: Hidden Treasures – Making Data the Most Indispensable Aspect of Corporate Environments
  • Building a framework to identify and locate your most valuable data
  • Embed data analytics into your products to ensure customer loyalty
  • Optimise your data to derive business intelligence that enhances performance and reduces risks
  • Boost your data maturity to get ahead of the curve when data asset trading

Gareth Farr Gareth Farr, Head of Data and Analytics, HypoVereinsbank – UniCredit
Jo Coutuer, Chief Data Officer - Member of the Executive Committee, BNP Paribas Fortis
Hiek Van der Scheer, Chief Data & Analytics Officer, Aegon

4:00pm
Refreshments & Networking Break
4:30pm
Choose Your Roundtable:

Roundtable 1

TRANSFORMING THE WORKFORCE II

Is the Role of 'Citizen Data Scientist' a Good Idea? 

Roundtable 2

QUALITY & GOVERNANCE II - THE CASE FOR INVESTMENT

Data Governance - Warning Against Failure or Incentivising the Benefits

  • Is it an effective usage of time to allow citizen data scientists to
    collaborate with peers?
  • Should we expect Citizen Data Scientists to be able to build more
    elaborate models
  • Where is the right balance between trained data scientists and
    business owners, and is a middle-person of value?
  • Will automation eventually render the Citizen Data Scientist defunct?

Felix Kraemer, Head of Data & Analytics, H Hotels

  • Can data governance ever be something more than ‘just having to be
    done’?
  • Are there context’s when it is worth the cost of starting anew with
    data governance frameworks?
  • What is the best overarching vision to communicate when it comes
    to data governance?
  • Is it possible to ever make to the logic of ‘governance’ to the logic of
    ‘business’?

Sudhir Mahakali, Global Head, Data & AI (Sandoz Chief Digital Office)Novartis

 

5:15pm
Networking Drinks
08:45am
Opening Remarks
09:00am

THE FUTURE OF TECHNOLOGICAL TRANSFORMATION I - Novomatic

Keynote Presentation: Advance Your Data Infrastructure with the Modern Data Stack
  • Advance the data integration process and gain access to actionable insights with ease
  • Increase agility with MSD that can be used with legacy solutions and the cloud
  • Leverage the benefits of data accessibility with better visualisation capabilities for data-users

Bogdan Pirvu Bogdan Pirvu, Head of Data Science, Novomatic

09:30am
Keynote Presentation: Mining the Possibilities of Data Storytelling to Strike Gold for Your Business
  • Incorporating data storytelling into your marketing strategy to effectively attract, gain and retain new customers
  • How to train a workforce in data storytelling that moves beyond visualisation towards the power of narrative
  • Generate better and faster decision making capabilities by providing personalised data stories
10:00am

ARTIFICIAL INTELLIGENCE II – ML-Ops, The Next Chapter

Panel Discussion: Enhance and Operationalise AI Decision Making Models Using ML-Ops
  • 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

Sudhir Mahakali, Global Head, Data & AI (Sandoz Chief Digital Office)Novartis

Dubravko Dolic Dubravko Dolic, Head of Applied Analytics & AI, Continental

10:45am
Refreshments & Networking Break
11:15am

THE FUTURE OF TECHNOLOGICAL TRANSFORMATION II – Quantum Computing

Keynote Presentation: Is Quantum Computing the Future of Business Technology?
  • How will quantum computing affect the optimisation of business?
  • Understanding how high levels of technological maturity can bring value to your business
  • What do you need to prepare your company for Quantum computing?
  • How do new ideas around quantum computing move into production?

 Gabriele Compostella Gabriele Compostella, CTO Volkswagen Data:Lab, Volkswagen

11:45am

QUALITY & GOVERNANCE III – Delivering Accuracy

Panel Discussion: Ensuring Data Quality Provides Accurate and Consistent ML Models
  • Deploying a system to monitor the accuracy of machine learning models
  • Understanding why drifts in quality occur and how to avoid them
  • How to make data science models accurate and robust to avoid accuracy loss in AI decision making

Sven Freisendorf Sven Freisendorf, Head of Data and Intelligence, HypoVereinsbank – UniCredit *NEW*

12:30pm
Keynote Presentation: How to Develop a Data Mesh Architecture that Drives Growth and Customer Value
  • What is the importance of federated data governance as part of your data mesh architecture?
  • Increase efficiency by giving data product teams end-to-end responsibility in a data mesh architecture
  • Deliver democratised data to build an advanced data stack to boost innovation
1:00pm
Networking Lunch
2:00pm

DELVE DEEPER INTO ANALYTICS I – Data Science at Scale

Keynote Presentation: Achieving Enterprise-Ready Data Science at Scale to Drive Value
  • Moving from isolated projects to wide scale accessibility of D&A solutions
  • Deliver ROI from data by developing products and use-cases appropriate to your organisations maturity
  • Offering D&A solutions in an incumbent enterprise IT landscape

Lukas Jan Stroemsdoerfer, Head of Data Science & Engineering, Mercedes-Benz

2:30pm
Keynote Presentation: Enable Agile Data by Building Robust Foundations for Successful Metadata Management
  • Boost data reliance by creating a data catalogue as the lynchpin for strong data usage
  • Decrease dependency on subject matter experts and legacy systems to enable democratization capabilities
  • Creating a unified data ecosystem, for different users with diverse needs the streamlines agility
3:00pm

DELVE DEEPER INTO ANALYTICS II – Self-Service Business Intelligence

Panel Discussion: Developing Self-Service Business Intelligence for Powerful and Well-Informed Decision Making
  • How do you properly embed the tools required to implement Self-Service BI?
  • Leverage predictive analytics to inform decisions, test them for success and fortify strategic aims
  • Gain an competitive edge by optimising a workforce to speak the language of data

Alexander Agronovsky, Head of BI - Customer Fulfilment, Zalando

3:45pm
Refreshment & Networking Break
4:45pm
Choose Your Roundtable:

Roundtable 3

TRANSFORMING THE WORKFORCE III

How Do You Successfully Upskill Your Non-Data Workforce with Data
Literacy?

Roundtable 4

DATA STRATEGY IV – Regulations & Standards

Developing Robust Foundations for Responsible Data Ownership

  • What are the metrics used to define the success of data literacy?
  • Does current terminology make data seem unattainable to the
    average business worker?
  • How can ‘gamification’ create buy-in from the workforce?
  • Why is it important to have a mix of fluent and native data speakers
    along with skilled data translators?
  • Incentivising data usage in the face of increased privacy, security and
    accessibility requirements
  • Identify and prioritise what data to bring under governance when
    dealing with vast amounts of data
  • Navigate the challenges of increasing regulations and ethical data
    disposition
  • Aligning your data in a legal, ethical and sustainable way

 

5:00pm
Networking Drinks