The Future of Big Data: Smart Data-Driven Business
7 June 2017 (14-21h)
Location: Parker Hotel (Diegem)
Presented in English by Rick van der Lans, Pieter den Hamer, Jan Henderyckx, Peter Craddock, and Filip Maertens
Price: 720 EUR (excl. 21% VAT)
This event is history, please check out the List of Upcoming Seminars, or send us an email
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Learning Objectives
What will you learn at this unique event on the future of big data ?
Big data, advanced analytics and smart business are now at the top of every corporate agenda. Together, they promise to transform the way companies do business. This seminar looks at the future of big data, which is not just about tools or technologies, but about turning your company into a smart data-driven business.
Together with various experts in the field of big data, we look at the trends that are forcing us to become data-driven and the opportunities that this brings, but we also look at the challenges in terms of data protection and privacy.
We also explore the next big step for big data, where machine learning and deep learning algorithms will analyse these vast quantities of data, and quickly derive actionable insights. In the near future, routine tasks will be automated based on all available data, and this will result in massive productivity gains.
Turn smart data-driven business into your competitive advantage by attending this one-day seminar, and learn from our thought-provoking speakers in the big data field at this unique one-day seminar:
- Rick van der Lans follows the big data market very closely and will reflect on some trends, particularly the changing role of data, and the move towards fast data.
- Pieter den Hamer explains how the Internet of Data (IoD) fuels digital business ecosystems and data-driven innovation, based on his real-life experience at Alliander.
- Peter Craddock (DLA Piper) talks about big data protection and privacy, and the impact of the GDPR on your big data projects. This new European regulation is a top concern in many big data efforts today.
- Jan Henderyckx goes deeper into big data governance, by focusing on the steps you need to take to get sustainable and compliant value out of your big data.
- Filip Maertens explores the world of AI-first big data projects, where AI and machine learning leads to smart big data.
Full Programme
- Data is moving from the data center cellar to the consumer
- Data is not about efficiency or cost-reduction anymore, it's about being better and being different
- What will be the effect of the changing role of data be on data architectures ?
- Big data, bigger data, biggest data, is it really relevant ?
- Do we really want data warehouses and data lakes ?
- How data & machine learning may save the world, or at least your business
- Internet of Things & Data: fuel for digital business & ecosystems, like smart grids & smart cities
- Data value chain: from (fast) collection and (agile) integration to (advanced) analytics and (automated) action
- Example cases: predictive maintenance, real-time process optimization, and more
- Getting it done: people, platform & processes - practical experience from data-driven organisations
This talk looks at big data from a legal point of view, and focuses on data breaches, privacy issues in big data, and what the GDPR means for big data projects.
- Doing a big data privacy impact assessment (DPIA)
- Data breaches and big data
- Impact of GDPR on big data projects
- Tips and advice
Big data governance is not just about making sure that you efficiently use your Hadoop cluster or assuring that you work on the relevant use cases. With the democratisation of big data capabilities and the wider access to data, questions arise on the regulatory- and ethical compliance of the data usage. Locking all data down is not the answer as we would lose too much value.
This presentation focuses on the steps you need to take to get sustainable and compliant value out of your big data.
- What is the distinction between Information and Big Data Governance
- Catering for the dynamics of data on-boarding and usage flows
- Towards policy-based classification and access
- Use case governance vs Critical Data Elements
- Impact of the Big Data Governance requirements on the architecture
This presentation looks at what big data can do for artificial intelligence and machine learning (and vice versa), and how we have to take an AI-first approach to data-driven business.
Going beyond big data analytics, artificial intelligence algorithms continue to introduce new and unparalleled ways of automating processes at thousands of companies, forcing companies to rethink their business at their very core. This Robotic Process Automation (RPA/IPA) goes beyond big data, systematically replaces manual labour, and aids humans in making more decisions, faster and more precise than ever before.
During this session we'll cover how existing businesses are forced to rethink their industry, and highlight some first-hand creative, innovative or extreme automations that are happening in the industry right now. We'll also touch upon some of the challenges on social, economic and privacy related to machine learning and what role humans will play in a world where machines are assisting us in our daily lives, but also increasingly capable of autonomously handling complex tasks and jobs.
- The interaction between AI and big data
- What does AI-first mean ?
- How does AI make data-driven business smarter ?
- Examples of what you can do with AI and big data today
- What is the relationship between fast data and the classic world of business intelligence and data warehousing?
- A new architecture is necessary for processing fast data
- Technologies and products are needed for analyzing fast data
- How should fast data be integrated in the enterprise data warehouse?
- The challenge of real-time responding to incoming fast data
- What is the relationship between big data and the IoT?
Speakers
Rick van der Lans is a highly-respected independent analyst, consultant, author, and internationally acclaimed lecturer specialising in data warehousing, business intelligence, big data, and database technology.
He has presented countless seminars, webinars, and keynotes at industry-leading conferences. For many years, he has served as the chairman of the annual European Enterprise Data and Business Intelligence Conference in London and the annual Data Warehousing and Business Intelligence Summit in The Netherlands.
Rick helps clients worldwide to design their data warehouse, big data, and business intelligence architectures and solutions and assists them with selecting the right products. He has been influential in introducing the new logical data warehouse architecture worldwide which helps organisations to develop more agile business intelligence systems.
Over the years, Rick has written hundreds of articles and blogs for newspapers and websites and has authored many educational and popular white papers for a long list of vendors. He was the author of the first available book on SQL, entitled including Introduction to SQL, which has been translated into several languages with more than 100,000 copies sold. More recently, he published his book Data Virtualization for Business Intelligence Systems.
Pieter den Hamer has over 20 years of experience in big data and analytics. During his career, his main focus has been on data driven innovations in several areas like (sustainable) energy, transport and public (open) data. Amongst others, he has worked as principal for Capgemini, managing partner for CIBIT, and as research director for DNV GL in Norway.
Currently, he is working on the combined topics of the energy transition, innovation and big data at the Copernicus Institute of Utrecht University in The Netherlands and at Alliander, a major energy distribution company in The Netherlands and Germany. His academic background lies in machine learning and analytics. Pieter is a frequent presenter at international conferences and has published several books and articles. In addition, he has been member of advisory boards for several organizations, including the Center for Integrated Operations of the Norwegian energy sector and the Big Data breakthrough innovation initiative of the Dutch Ministry of Economic Affairs.
Currently, he is also involved in the European Innovation Program on smart cities & communities, and as co-chair in the big data & energy transition program in the national research initiative Commit2Data.
Jan Henderyckx is a highly-rated advisor, speaker and author who has been active in the field of Information Management and Relational Database Management since 1986. He is the founder and managing partner of Inpuls cvba, a consulting company focussing on enabling data driven, compliant and sustainable business value creation.
Jan's experiences, combined with information architecture and management expertise, have enabled him to help many organisations to optimise the business value of their information assets. He has advised internationally and in different industries on the setup of CDO and DPO roles. Based on these experiences Jan has defined an approach for bridging the gap between big data architectural blueprints and regulatory- and ethical compliant big data use cases.
He has presented, moderated and taught workshops at many international conferences and User Group meetings worldwide. He is the President of the Belgium and Luxembourg chapter of DAMA (Data Management Association) and is a DAMA International Board member being the Chair of the Presidents Council. He has published articles in many leading industry journals, and has been elected to the IDUG Speakers Hall of Fame, based upon numerous Best Speaker awards. Jan is certified at the mastery level: DAMA Certified Data Management Professional and Data Governance and Stewardship.
Peter Craddock is a legal technologist, combining legal practice with software development to assist him in his work. He has extensive experience with complex projects in the fields of data protection, e-commerce, software contracting and procurement and the outsourcing of IT services.
Peter advises both SMEs and global players on a wide range of privacy and data protection matters. In addition to general data protection matters (privacy audits, video surveillance, employee monitoring, etc.), Peter has vast experience in complex data transfer issues, covering both intra-group transfers and external transfers and has assisted clients with structuring data flows so as to reconcile business, technical and regulatory requirements.
He also regularly works on matters dealing with new technologies and new ways of using data, such as cloud computing, cookies, data mining, profiling, e-reputation and big data.
He also assists clients at all stages of the lifecycle of any IT-related contract, from drafting and negotiation to implementation, and has represented numerous clients in settlement discussions as well as litigation in both judicial proceedings and arbitration proceedings.
Finally, he has a wide-ranging experience in assisting clients with intellectual property advice, contracts and litigation, with a particular focus on copyright, trade marks and (un)fair trade practices.
Filip Maertens has a background in cryptography and machine learning, and has successfully co-founded companies in the space of cyber-security and artificial intelligence.
He has been named as Belgium's Top 50 Innovator and Top 50 Entrepreneur, and is a public speaker on technology and startups, at high profile conferences such as TEDx, Cannes Lions, Internet World, LeWeb, TheNextWeb and more.
He is politically active as an intermediary and advisor on various topics of artificial intelligence, privacy and ethics.
Currently he is the co-founder of Faktion, an applied Artificial Intelligence company in Belgium, with offices in Antwerp. The company is specialized in computer vision and natural language processing in the finance, automotive and retail.
Questions about this ? Interested but you can't attend ? Send us an email !