Nurturing a community of data professionals in the UK who champion the value of data management
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"Data is the fuel of any digital economy, and trust in that data is fundamental. As a nation, we have always been pioneers and advocates for transparency and freedom, and we will keep applying those values as we examine how we can make the most of data that is multiplying in scale and sophistication. The great challenge of the digital age is to ensure that data is used safely, ethically and, when possible, transparently.”
Margot James MP, Former Minister of State, Department for Digital, Culture, Media and Sport
Managing large volumes of data has become an increasingly important part of doing business in the financial services industry. The increased use of sophisticated technology for data analysis and collection requires businesses, policymakers and regulators to keep pace with new techniques and alternative forms of data. Building a strong institutional culture around data governance and the responsible, transparent and ethical use of machine learning and AI have all become priorities for the UK financial services sector.
To assist companies with the above objectives, and to offer a platform on which industry can discuss its ideas and concerns with government, City & Financial Global are organising the ‘The Future of Data in Financial Services Forum: Meeting Emerging Regulatory and Ethical Standards’ in London on 22nd January 2020. As a part of our technology portfolio, this highly topical gathering will build on the success of our earlier technology events: The AI in Legal Services Conference, June 2019; City Week 2019; The Regulation of Cryptocurrencies Summit, November 2019; The Blockchain FS Technology Forum, November 2018; 2nd Robo-Advice and Digital Wealth Summit, September 2018; and The RegTech Automation and Compliance Forum, May 2018.
The summit will bring together leading experts to provide a cross-cutting view of the emerging regulatory and ethical standards for data analytics, processing and management; to examine the data-related developments of most concern to regulators; and to discuss the fundamental changes that lie ahead. The event will also enable c-suite executives to benefit from real life case studies and best practices in the use, collection and sharing of data.
Data Management Leaders 2020
The conference will with the help of speakers from Procter & Gamble, Almirall, CDQ – Sharing Data Excellence, Daniel Swarovski Corporation, Deutsche Telekom Services Europe, Electrolux, Maersk and Office Depot to name a few discuss, what is a sound data strategy and how can it enable agile and quality execution of business goals.
Attending will enable you to:
The Data Management Summit explores the shift to the new world where data is redefining the operating model and firms are seeking to unlock value via data transformation projects for enterprise gain and competitive edge.
The exciting world of AI, ML and blockchain is starting to deliver revolutionary change. We’ll cut through the hype and show you how you can get your data and data infrastructure ready to take advantage of new capabilities and explore the impact of these technologies on how data is managed through the enterprise.
2020 topics include:
NON-DAMA UK EVENT
The 24th Annual Enterprise Data World (EDW) Conference is recognised as the most comprehensive educational conference on Data Management in the world. Join over 1,000 data professionals from around the globe to attend this unique event, learn from peers and experts, and bring dozens of actionable takeaways back to the office.
What to Expect at EDW 2020:
This six-day conference kicks off each year with in-depth tutorials, then continues throughout the week with hundreds of hours of educational content presented by leading industry experts, finally closing with our signature two-day workshops. The distinguished speakers for these presentations share their case studies, experiences, and knowledge about various topics including Data Strategy, Governance and Stewardship, Data Architecture, Data Literacy, Blockchain, Data Engineering, Modeling, Metadata Management, Database Technologies, Information Quality, Business Intelligence, Analytics, Data Science, Big Data, AI, Machine Learning, and much more.
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