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LOCATIONS: STOCKHOLM | DUBAI | AUSTRALIA About Schedule Speakers Partners Price More Locations Stockholm Dubai Melbourne Gallery Contact APAC Data Innovation Summit 2020 BUY TICKET 13th March 2024 | Stamford Ballroom, Level 4 Hotel Fairmont, Singapore Data Innovation Summit APAC apply to Sponsor apply to Speak Buy Ticket What’s this event all about? Welcome! The Data Innovation Summit is the largest and the most influential annual Data and AI event represented in three regions, bringing together the most innovative minds, enterprise practitioners, technology providers, start-up innovators and academics, working with Data Science, Big Data, ML, AI, Data Management, Data Engineering, IoT and Analytics, in one place to discuss ways to accelerate AI driven Transformation throughout companies, industries and public organisations. The Data Innovation Summit APAC is constructed so it equally addresses all the elements of data-driven and AI-innovative business: data, people, processes and technology. The event is built to be both business and technical, practical and inspirational, realistic and futuristic, educational and exciting, regional and global, live and digital, general and niched, inspiring and influential. It is showcasing some of the best data driven innovative projects, products, business ideas and technologies, presented by some of the most advanced and innovative organisations in the world. From Data to Value in the Age of Applied and Generative AI m1 stage Applied Data Innovation Stage 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 are held in English and in duration of total 30 minute. For better time management we have added 10 min changing break between sessions. m2 stage Data Science & ML Stage Technical presentations on deploying Machine Learning, Natural Language Processing, GAN, Speech and Vision intelligence techniques into practice and in production. Presentations are held in English and in duration of 30 minutes. For better time management we have added 10 min changing break between sessions. m3 stage Data Management & Engineering Stage 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 much more. Presentations are held in English and in duration of 30 minutes. For better time management we have added 10 min changing break between sessions. Interactive Panels This year’s panels are going to focus on ways to maximise the ROI of advanced analytics initiatives by moving from the wall of POC” and experimentation to industrialisation. Human Centered Data and AI Innovation and Ethics are two additional topics that will be covered on the panels. The duration of the panel is 45 minutes. The panelists are coming from both the public and private sector, academia, as well as technology providers. Networking Program Over and over again delegates are asking for more networking time. On this edition we are introducing new features that will increase the opportunity for you to meet and network with the delegates. We will start the conference with a 30 minute networking session and time to explore the venue setup. You will also have the opportunity to meet the exhibitors, find a coffee buddy, enjoy a networking cocktail with your peers and create new meaningful contacts. The latest Demos in the Expo Area As technology is a great part of the topic area, it is natural that demonstrations of the latest technology advancements in the area should be part of the event features. On this year’s edition we are bringing some of the leading technology and service providers in the area, some of them presenting their tools and services for the first time in the APAC region. Need-to-know and Up-to-date Topics The agenda is carefully designed to match the delegate community challenges and needs. Based on our global and regional pre-event research, we have constructed the agenda that emulates the current market maturity, current project objectives, as well as the aspiration for future technology insight. 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: data science Machine learning deep learning artificial intelligence big data management data engineering data architecture data governance business analytics artificial neural networks text-to-speech natural language processing (nlp) speech recognition pattern recognition image recognition request agenda Like the event? Interested in reading more? Subscribe to our newsletter LET’S DO IT! ? Meet the speakers 2024 Raghavan Muthuregunathan Senior Engineering Manager, Search Artificial Intelligence Linkedin | USA Sonam Saxena Product Manager Meta Platforms | USA Edward Martinez Chief Data Officer and Head of Data Intelligence Division China Banking Corporation (China Bank) | Philippines Manisha Banerjee Omnichannel Analytics & Insights Lead-ASIA & LATAM (EM) GSK | Singapore Quang-Vinh Dang Head of Data DatVietVAC | Vietnam Irvan Bastian Arief, PhD VP of Data Science & ML Engineering tiket.com | Indonesia Grace Ngu Sook Ern Senior Data Scientis Micron Semiconductor Asia Pte Ltd |Singapore Krishna Feron Chief Data Analytics Officer L’Oreal Malaysia Singapore | Malaysia Nithya Krishnamoorthy Lead Data Scientist Singapore Life Ltd |Singapore Michal Polanowski PhD MBA Head of AI Research ST Engineering | Singapore Senthil Kumar Senior Architect Singtel | Singapore Darwin Jocson Manager – IT Business Engagement Lead Mercedes-Benz | Singapore Garrett Teoh Regional Enterprise Architect Allianz | Singapore Melvin Cheong Sales Engineer Precisely | Malaysia Wisely Chen Chief Data officer Ally Transport | Taiwan Usha Balasundaram Quality and Data Governance Associate Director S&P Global | Malaysia Vaibhav Gupta Lead Data Architect FedEx Express | Singapore Cheng Kai Chyuan Data Analytics Manager DL’Oreal Malaysia Singapore | Malaysia Min Fang Customer Solutions Manager, Singapore Enterprise & Public Sector Google Cloud | Singapore Muhammad Shahmeer CEO Younite | Pakistan Laxman Singh General Manager, ASEAN Neo4j | Singapore Jean-Michel Coeur Practice Lead, Data Analytics (AI), APAC Google Cloud | Singapore Ramya Hari Hara Prasad Head of Enterprise Data Solutions, Data & Digital Keppel | Singapore Budiman Bujang Head of Digital Strategy & Innovation Johor Corporation | Singapore Kabir Paul Customer Engineer, Data Analytics Google Cloud | Singapore Pasha Laksamana Putra Data Science Lead | Zalora | Singapore Walid Lassoued Senior Director of Data Science Talabat Delivery Hero | Dubai Daniel Hein Chief Architect, APJ Informatica | Australia Shivam Modi Presales Consultant, Asia Semarchy | India Alok Sahoo Director (Data management) Singapore Telecom | Singapore Ram Thilak Group Head – Data Science & AI Inchcape plc | Singapore Nitish Ramkumar Senior Research Lead, Sustainable Investment Research London Stock Exchange Group | Singapore Interested? Wanna know more? Get the PDF Agenda request agenda Explore the 2024 Schedule [M1+] Plenum [M1] Applied Data Innovation Stage [M2] Data Science & Machine Learning Stage [M3] Data Management & Engineering Stage [M1+] Plenum The 2024 Edition starts in 00 Days 00 Hours 00 Minutes 00 Seconds...
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