APPLIED ANALYTICS DATA SCIENCE – DATA ENGINEERING – DATA MANAGEMENT – ANALYTICS AND VISUALISATION – IOT ANALYTICS – MACHINE LEARNING – DEEP LEARNING
Welcome to the fourth edition of Data Innovation Summit. It is going to be bigger, better, more insightful and more exciting than ever. This year’s event will focus on practical case studies on Applied Innovation, Analytics and Visualisation, Machine Learning, Artificial Intelligence, Data Management, Data engineering, IOT insight and technology.
With over 100 Nordic and international speakers on six stages, six workshop stages and plenty of learning and networking activities in the exhibition area, the 2019 summit is the place to be for all professionals and organisations working with utilisation of data for increasing profit, reinventing business models, develop data-driven products, and increasing customer satisfaction.
BIGGER, EXTENDED, MORE INSIGHTFUL, GLOBAL:
We are glad to announce that we have extended the event to a two day setup. To accommodate the 2000+ delegates expected on this edition and still provide a great experience, we are utilising the full capacity of the venue. We have also built a completely new room and expo setup that not only provides a natural movement flow between stages, but also accommodates the ambition of the conference to cover the entire spectrum of data innovation organisational and topic complexity. The agenda is spread across two days, with a total of 6 stages plus plenum room, 6 new workshop rooms, new “Data after Dark” networking feature on the first day and “Data Safari” satellite educational events after the official program ends. More than 86 presentations, 60 workshops, 20 panels will take place during the event. As last year, the event is a hybrid with on-stage and on-line live program streamed directly on our social media channels.
• APPLIED ANALYTICS DATA SCIENCE AND AI STAGE:
Clear business examples of data science, analytics, ML and AI to enhance customer experience, improve business process, reinvent business models and create new ones.
• ANALYTICS AND VISUALISATION STAGE:
Focus on the latest methodologies of turning real-time data from multiple sources into insight, self-service BI, visualisation of data, prescriptive analytics, and much more.
• DATA ENGINEERING STAGE:
Technical track focusing on agile approaches to designing, implementing and maintaining a distributed data architecture to support a wide range of tools and frameworks in production. Focus on Data-Ops, Fast Data, data pipeline, data lineage, modelling, data flow monitoring, feature extraction and much more.
• DATA MANAGEMENT STAGE:
Technical and strategy track focusing on best practices on leveraging data as an enterprise asset and ways of collecting and distributing quality data, while protecting privacy, usage restrictions and data integrity. This year’s focus is on the CDO agenda, data & information governance, Big Data quality, master data, warehousing, Data Lake, and much more.
• IOT ANALYTICS & INNOVATION STAGE:
Strategy and technical deep dive into how we can utilise IOT data to create insight and innovate through that machine data. We will start by looking at some innovative business examples, and then move to more technical examples on IOT data management, and utilisation of advanced analytics, machine learning and blockchain.
• MACHINE & DEEP LEARNING STAGE:
Technical presentations on deploying Machine Learning, Deep Learning, Natural Language processing, Generative Adversarial Networks – and Artificial Intelligence in projects.
• CRASH-COURSE SESSION ROOMS:
On request by last years delegates, on this year’s edition we have set up several rooms for short workshops and crash-courses. The sessions are 100 minutes long and will provide training into various organisational, business, and technical topics. The rooms are limited to 40 people per crash-course session.
Who should attend
The Data Innovation Summit is tailor made for any professional or organisation working with, or is interested to learn, how to turn data into valuable insight. If you are working with the following disciplines, then this is the must-attend event.
– Data Science
– Business Analytics
– Machine Learning
– Deep Learning
– Customer Analytics
– Business Intelligence
– Marketing Analytics
– Finance Intelligence
– Competitive Intelligence
– Data Mining
– Predictive Modelling
– Data Governance
– Information Management
– Artificial Intelligence
– Big Data
– Data Warehousing
– Data Quality
– Data Architecture
– Data Security
– Statistical Modelling
– Data Engineering
What was New in 2019
Thanks to our 2019 Speaker Companies
Explore the Companies that were presenting at the event
Interactive Floor Map
DATA INNOVATION SUMMIT 2019
The shortest way to discover what’s happening on the event
Use the filter to sort by day, your favourite topic and level of knowledge.
Thanks to our 2019 Speakers
Explore and get to know some of this years amazing speakers
Data Scientist at GitHub
Clair’s work included advanced signal analysis and applying machine learning techniques to large sensor networks. She will show how graphs of code can be used to obtain information about software and open source development
research Engineer at Google
Aleksandr is based at Google Zürich, the European headquarters of Google AI. He is currently working on the problem of enabling access to information via dialog and various ML/NLP challenges related to it.
Data Science Manager
Senior Data Scientist
Principal Data Scientist
Swiss Universal Bank Chief Data Officer
Credit Suisse AG
VP Data Science
Senior Director Analytics
Lead Data Scientist
Director of AI
Process Optimization, Manager
Head of AI Strategy & Acceleration
Thanks to our 2019 Co-Host Partner
Thanks to our 2019 Partners
Thanks to our 2019 Supporting Partners
Thanks to our 2019 Media Partners
SUPER EARLY BIRD PRICE!
Be an early adopter for the 5th edition of Data Innovation Summit
– LIMITED TO ONLY 300 TICKETS –
*Tickets not applicable for Solution or Technology Providers and Consultancy or Recruitment Agencies
How many organizations, Corporates or Public Services, are truly operating as AI First or Data First companies? Very few. How many of the 10 highest valued companies in the world are aggressively chasing and investing in AI First? More or less all of them. The true divide of the future separating the richest from the poorest, the winners from the losers, can increasingly be correlated with their pursuit of Data Innovation. The last years have given rise to some truly exceptional “Data Dragons”. Companies worth more and with more influence than many mid-sized countries. The rest of the world are lagging in what looks like a race between a rabbit and a turtle. Many articles have been written in the most prestigious business magazines and newspapers on the consequences of this situation. Analogies are made between the rise and growing influence of the Data Dragons and the oil companies’ role in shaping the society and world politics as we know it today.
With data being described as the new oil will we see the same level of transformation as the Industrial Revolution gave us in the 20th century? With the prediction that the current paradigm shift is about automation of brain power like the industrial revolution gave automation of muscle power, it could have even further reaching implications. It will be a Tsunami wave, that you either surf or drown in. I would first assume I’m kicking in open doors, based on what we all see and hear on the news, what the hype is all about in our companies or by just following the growth and increasing interest in the Data Innovation Summit (DIS). But when we scratch below the shiny surface and take a very hard look in the mirror. Have we and the companies we work for embraced the fact of a paradigm shift in the making? Are we putting our money where our mouth is? Are we trying to slap AI on top of old analog processes or are we re-inventing our organizations, business models and processes with AI first and Data first in mind?
When we now prepare for Data Innovation Summit 2019, the main nagging conclusions are that even if we have come far, we are not truly dealing with data innovation as the paradigm shift we all anticipate. So far many are only skin deep into it. Most companies and society are not “Data & AI-Ready” (DAIR). The core building blocks, structures or capabilities to reach operational value at scale are simply not there. And to some degree AI, blockchain, IOT and other disruptive technologies and our regulations have quite some way to go to reach operational maturity for abundant use. Therefore, we want to shift the conversations and focus for 2019. DIS should continue to fuel the hype and inspire a vision of the future. DIS should also and even stronger work towards a deeper understanding of what the paradigm shift of Data innovation and “AI-First” entails and how to be “Data & AI-Ready” (DAIR) to succeed. A surfer could tell you that to surf any wave you need to paddle hard, position yourself in the right spot and have impeccable timing to first catch the wave. The bigger the wave the dearer consequence to get it wrong. The Data Innovation Summit is evolving year by year with a firm mission to go beyond the hype to help companies and society prepare, catch and successfully surf the Data Innovation- and AI Tsunami.
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2019 DATA & ANALYTICS SALARY SURVEY
Covering salaries, diversity, benefits and technologies, our published Salary Guide drives the Data & Analytics industry conversation. To create this Guide we rely on the feedback of professionals in the Data & Analytics industry to complete our Salary Survey and share their insights.
Oracle illuminates its Analytics Cloud: The sleeping giant awakens
Oracle has shed light on Analytics Cloud, which is the second largest business inside the company, albeit with a market profile that doesn’t truly reflect that, in our opinion. The offering is set for enhancement, which will result in more augmented analytics functionality.