LOCATIONS: STOCKHOLM | MILAN | DUBAI

What’s this event all about?

Data is of vital importance for innovation and economic growth in the Digital and AI Economy. The purpose of data- and AI-driven innovation is to develop new or significantly improve existing human centred products, processes, methods or services.

Data Innovation Summit is designed to impact and shape the future of business and society by crosspollinating knowledge and experience in data management, advanced analytics, IOT and AI across organisations and regions. The event gathers the practitioners of today and the leaders for the future in one place to discuss ways to accelerate data and AI driven innovation and industrialize advanced analytics projects into production. The APAC Edition of the summit as an inaugural event that brings the region closer to the world-wide movement, ushering the community of data practitioners across countries and sectors to collaborate, benchmark, share and innovate.

The 2020 APAC edition of the Data Innovation Summit will start with two pre-event warm-up days where you as a delegate of the summit will have the chance to preview the exclusive content from the main Stockholm 2020 edition (20th & 21st of August). In the comfort of your home or office, through the Agorify platform you will have the opportunity to see more than 200 practical case studies presented by some of the most innovative companies in the world.

Towards Human-Centered Data & AI Innovation

m1 stage
/ business & tech focus

Applied Advanced Analytics

The sessions are both business and technical, presenting a clear business output of data science, analytics, ML and AI to enhance customer experience, improve business process, reinvent business models and create new ones.

m2 stage
/ tech focus

Machine & Deep Learning

Technical presentations on deploying Machine Learning, Natural Language Processing, Generative Adversarial Network, Speech and Vision intelligence techniques into practice and in production.

m3 stage
/ tech focus

Data
Management
& Engineering

Technical track focusing on agile approaches to leveraging data as an enterprise asset and ways of collecting and distributing quality data to support a wide range of tools and frameworks in production, while protecting privacy, usage restrictions and data integrity. Focus on Cloud Data Management, Data Governance, Infrastructure as a code, Data-Ops, Fast Data, data quality and more.

Summit at glance

Keynotes/Opening
and Closing

The opening and the closing keynotes on this edition will take place in the expo area. A special stage is built to accommodate the number of delegates and capture the emphasis of the keynote presentations. During the track sessions, the stage will be used for panel program consisted of speakers and experts. The panel program will be also streamed online.

Data Octagon
Online Program

Program providing insight into current data practices, trends, challenges and opportunities, as well as give overview of the latest technological breakthroughs, and glimpse into the future of data management, analytics and automation. The program consists of 45-minute panels and will be streamed online free for all on Hyperight youtube and twitter channel.

Applied Analytics Data Science & AI

The sessions are both business and technical, presenting a clear business output of data science, analytics, ML and AI to enhance customer experience, improve business process, reinvent business models and create new ones. Presentations by some of the most innovative companies in the world.

Machine and
Deep Learning

Technical presentations on deploying Machine Learning, Deep Learning, Natural Language Processing, Generative Adversarial Network and Artificial Intelligence in projects. Presentations by some of the leading experts, researchers and practitioners in the area.

Data
Management

Technical and Strategy presentations 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.

Industry 4.0
and IoT

On the IOT Analytics and Innovation Stage we are diving into how we can utilize IOT data to create insight and innovate through that data. We will start by looking at some innovative business examples, and then move to more technical examples on IOT data management, and utilization of advanced analytics, machine learning and blockchain.

Data
Engineering

Technical presentations 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, ML Ops, Auto ML, Cloud ML, Fast Data, data pipeline, data lineage, modeling, data flow monitoring, feature extraction and much more.

Analytics and
Visualisation

On this year’s Business Analytics Stage, the focus is 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. As the day passes by the presentations will dive into more in-depth topics and implementation examples.

Technology in Practice Sessions

As a delegate you will have the opportunity to meet local and global Data Management, Advanced Analytics and AI software, hardware and service providers. A time in the program is dedicated for tech demos and presentations. These are called Technology in Practice Sessions.

Who should attend?

If you are working with the following topics and you are interested in learning how to accelerate data and AI-Innovation in your organisation then visiting Data Innovation Summit will offer you an insight into innovative solutions and radical ideas that are already proven to provide ROI in other innovative organisations.

If you are working with the following disciplines, then this is the must-attend event:

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Speaker Companies

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Schedule 2020

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Speakers

Tejasvi Addagada

Former Board of Directors/Advisory Board
FMR IQ / Dattamza

Vijoe Mathew

Head Of Analytics
AB Inbev

Deepika Sandeep

AI Leader
Honeywell

Shanti Swaroop Mokkapati

Head – Analytics and Market Intelligence
Abbott Healthcare Pvt Ltd

Vidhya Veeraraghavan

Head of Analytics – Financial Market Operations
Standard Chartered

Arindam Banerjee

Data Scientist
Ericsson

Dhanasekaran Palaniappan

Data Scientist
Larsen & Toubro Construction

Dr Chiranjiv Roy

Chief Data & Analytics Officer
Access2Justice

Ayush Jain

Manager – Strategic Analytics & Data Science
Hindustan Coca-Cola Beverages

Ujjyaini Mitra

Head of Data
ZEE5

Sayan Dey

Consultant (AI-ML)
Walmart Labs

Tanmay Gupta

Senior Data Scientist
Philips

Vinay Gupta

Head Data Analytics & Business Excellence
SGSL

Mani Kanteswara Rao Garlapati

Lead Strategist, Data Analytics
Google

Chandrakumar N

Deputy Manager, Data warehousing and Business Intelligence
ITC Limited

Nidhi Gupta

Senior Data Scientist
PharmEasy

Carol Anne Hargreaves

Director of the Data Analytics Consulting Centre National University of Singapore

More speakers to follow…

Still not convinced? Read on

Need to Know Basis Content

We cover the topics that matter the most to today’s Data, Analytics and AI professionals and top it off with a healthy dose of innovative and practical action points and key takeaways.

Great chances for
Networking

With over 300 like-minded data leaders across APAC joining, with both structured and informal networking sessions provided, it’s a brilliant opportunity to forge new professional contacts.

Data Science
Prolific Speakers

Listen to case studies from the best names in the industry. The most influential speakers fly in from around the world to present their expertise!

The Most
Up-to-date Content

The summit covers topics that matter the most to today’s digital strategy leaders. You’ll return to the office ready to go.

HURRY UP!

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Pictures

Pictures from Data Innovation Summit 2019 / Stockholm

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