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CDAO UK
Presentations

Day 1 - Track A

Efficiently Scale and Manage Your Data / ML Workflow with Taipy

From Data and AI algorithms into production-ready web applications.

Discover Taipy an open-source Python library for easy, end-to-end application development, featuring what-if analyses, smart pipeline execution, built-in scheduling, and deployment tools.

In this presentation, participants will discover how to:

  • Model dataflows, orchestrate pipelines, and manage scenarios (which are pipeline executions) 
    through the development of an application backend
  • Develop an interactive and customizable multiple-page dashboard without knowing HTML, JS, and CSS by using a simple syntax and make it in a few lines of code
  • Create and manage scenarios through a robust pipeline graphical editor

With Taipy, transform simple pilots into production-ready end-user applications in no time with the most powerful Python front-end and back-end stack. 

Speaker:

  • Vincent Gosselin, Co-Founder & CEO, Taipy 

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The Interplay of Governance and Risk: Adopting a Risk-Centric Strategy for Data Governance 

  • Encouraging data ownership within business units via awareness and education
  • Ensuring data falls under suitable technical supervision
  • Establishing a feedback mechanism linking program operations and the risk register for up-to-date risk data capture and reflection
  • Classifying data based on its sensitivity and importance, aiding in targeted risk management
  • Promoting collaboration between risk management and data governance teams to align efforts effectively 

Speaker:

  • Seeta Halder, Credit Risk Consultant, The Nottingham

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Best Practices for Building AI Platforms in the Enterprise

In this session we will cover some of the challenges Enterprise organisations often run into when building AI platforms and how some of the leading organisations are approaching these challenges in terms of:

  • Designing for flexibility
  • Building platforms with the need of the data scientists in mind
  • Optimising infrastructure and data centre resources

Pure Storage empowers businesses to leverage it as a strategic asset. Our solutions fuel data-driven initiatives, accelerate operations and unlock new possibilities. Empower your cloud-native journey with Portworx. The Portworx data platform simplifies Kubernetes storage and management, letting you focus on building and scaling containerized applications with confidence

Speaker:

  • Fred Lherault, Field CTO EMEA & Emerging, Pure Storage

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Adapting Data Roles for Emerging Trends and Staying Ahead of the Game 

  • Broadening role expectations to prevent overlooking emerging trends
  • Cultivating a culture of innovative thinking and continuous learning
  • Fostering cohesive comprehension of data expectations through enhanced collaboration among data roles
  • Allocating time for employees to work on innovative projects that align with emerging trends, fostering creativity and exploration.
  • Conducting periodic trend analyses to identify upcoming technologies and methodologies, allowing you to prepare in advance

Speaker:

  • Jean Perez, Director of Data & Analytics, Collinson

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Day 1 - Track B

Dispelling Confusion: Nurturing Reliable Innovation Through Ethical Data Practices

  • Exploring and guiding the ethical optimization of data and technology advantages
  • Delving into diverse ethical considerations across various use scenarios
  • Analyzing public and consumer perspectives on intelligent technologies and AI
  • Restoring confidence in data technologies to enhance data acquisition and insights
  • Probing how ethically obtained insights drive impactful strategies and technologies

Speaker:

  • Gareth Hagger-Johnson, Director of Data Strategy, The Nottingham 

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Fireside chat: NatWest's Data Quality Revolution: Transforming Testing Strategies for the Agile Era

To keep pace with customer expectations, NatWest embarked on an ambitious programme to automate the testing of data as it transitions from multiple sources to a central data lake. The project started delivering value early through an agile approach. With a focus on Speed and efficiency within test transformation Glenn has focused on automation as a key 
pillar within the bank. Being a thought leader Glenn has enabled specific programmes to become more efficient, demonstrating real value.

Speakers:

  • Andrew Spires, EMEA Lead – Data Integrity, Tricentis

  • Glenn Crossman, Lead DevOps Engineer, NatWest

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Unlocking Business Value with Generative AI

  • Break through the generative AI inertia and learn how you can bring high priority generative AI use-case to fruition
  • Understand the common blockers for delivering business value and how you can overcome them
  • Hear real-world examples from organizations and data leaders who have navigated delivering value 
    at production scale 

Speaker:

  • Venky Veeraraghavan, Chief Product Officer, DataRobot

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Turbocharging Data Analytics with Automation and Machine Learning to Unlock Hidden Treasures in Unstructured Data

  • Utilizing automation to clean, transform, and organize unstructured data into a usable format, saving time and reducing errors
  • Deploying machine learning techniques to identify relevant features within unstructured data,  enhancing insights and predictive capabilities
  • Employing NLP algorithms to extract meaning from text data, enabling sentiment analysis, topic modeling, and entity recognition
  • Leveraging ML models to interpret images and videos, unveiling patterns and insights otherwise hidden in visual data
  • Utilizing ML-powered pattern recognition to uncover relationships and anomalies in unstructured data, revealing valuable insights 

Speaker:

  • Khagesh Batra, Head of Data Science, The Adecco Group

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Day 1 - Track C

The Fusion of Data and Insights: A Step-by-Step Guide to Basing a Center of Excellence for Your Enterprise 

  • Exploring initial steps in crafting a center of excellence
  • Disseminating knowledge throughout the organization to enhance insight 
    optimization
  • The significance of gaining support across departments for a unified approach
  • Consistently observe and analyze shifts in customer behavior, preferences, and expectations, offering the business insights to adjust and enhance the customer experience
  • Identify common data pain points across the business and focus your effort solving issues so that many people within your organisation can reap the benefits

Speaker:

  • Maija Hovila, Chief Data & AI Strategist, Futurice 

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Instilling the Culture of Data-Driven Decision Making in Legacy Enterprises 

  • Championing data literacy awareness by crafting a clear case for change
  • Leveraging partnerships and collaborating with stakeholders to attain a data driven culture
  • Modernizing legacy systems and progressing the journey of cloud migration and analytics
  • Addressing resistance to change by highlighting how data-driven decisions can enhance efficiency and outcomes
  • Making data accessible to relevant teams, ensuring they have the resources to base their decisions on insights

Speaker:

  • Gishan Nissanka, Group Head of People Intelligence, Worldline 

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Mastering Long-term Business Value: Navigating Successful Data Transformation

  • Viewing data transformation as a comprehensive endeavor that involves people, processes, and technology
  • Implementing effective change management strategies to help employees adapt to new data-driven processes
  • Investing in training and upskilling your workforce to ensure they are equipped to leverage data effectively
  • Defining key performance indicators (KPIs) to measure 
    the impact of data transformation on business value
  • Embracing an agile mindset, allowing you to iterate and adapt your data transformation strategies as needed

Speakers:

  • Niresh Rajah, Group Chief Data Officer, Danske Bank

  • Indhira Mani, Group Head of Data Transformation, Danske Bank

  • Ankur Gupta, Head of Data Products, Danske Bank

  • Sachin Sharma, Head of Data Change and Innovation, Danske Bank

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Day 2

Driving Digital and Data Transformation in UK Government

  • Understanding your organization's unique requirements, goals, and constraints to determine the most suitable approach for your data governance
  • Introducing iterative practices by starting with a smaller scope or pilot projects
  • Adopting agile methodologies that promote flexibility and collaboration
  • Defining relevant metrics to measure the effectiveness of data governance initiatives from both enterprise and iterative perspectives
  • Implementing a change management strategy to address cultural shifts required for both enterprise and iterative approaches

Speaker:

  • Jenny Brooker, Chief Data Architect, Central Digital and Data Office 

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Empowering Data 
Democracy through Trustworthy 
Data Offerings 

  • Ensuring the accuracy and integrity of your data products by implementing rigorous quality control processes
  • Providing clear documentation about data sources, methodologies, and any transformations applied, enhancing users' trust
  • Building data products that can scale to accommodate growing user demands and evolving data requirements
  • Establishing a mechanism for users to provide feedback and suggestions for data improvements, creating a collaborative environment
  • Implementing robust data governance practices to oversee data product development, usage, and updates

Speaker:

  • Nzau Muinde, Director: Data Strategy, Mastercard 

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