Applying machine learning at a scale for large organizations requires considering a plethora of challenges.
Category - Data Innovation Summit APAC 2023
Embed Data Governance into your Business Processes – Hendy Gunawan, Maybank Indonesia
Data Governance is often neglected by businesses because it is seen as an extra work and extra cost initiative. It is also full of strange words for them, such as: metadata, glossary, linage, critical data elements, etc.
Drive Self-Service Analytics Adoption at Scale – Umesh Ramakrishnan, Traveloka
As organizations expand, the demand for data and data professionals continues to surge, and at a certain point, data teams can become a limiting factor.
Architecture Patterns for Modern Master Data Management (MDM) – Vinay Simha, PHILIPS
Master Data Management (MDM) Architectures are often multifaceted and very complex. Use cases driven by Digital transformation have further compelled Architects to evolve architectures with new paradigms to modernize...
Productionized IoT and Enterprise Data Solutions at Mann+Hummel – Sreekanth Raghunath, Mann+Hummel
At Mann+Hummel, we combine intelligent technology with our filtration expertise to strengthen our position as a market leader.
Get Optimal Value from Your Data Science Practice – Goon Yar Jun Caroline, Manulife
How do organizations optimize value, getting faster analytics time to market? What activities, use cases and considerations to get the most out of the practice?
How Zalora Navigated the Sunset of Google Analytics in 3 Months – Indah Mustikasari, Zalora Group
The deprecation of GA UA has come across as a surprise to majority of companies that utilize session-based data modelling, and Google only gives around 1.5 years to all companies to migrate to event-based data modelling...
Prediction of Impending Failure Using Machine Learning – Rajat Kumar, ST ENGINEERING
This talk includes the prediction of impending failures using historical sensor data by applying advanced techniques, like machine learning.
How is the World’s Leading Independent Automotive Distributor Reinventing itself through “Data”? – Ram Thilak Prem Kumar, Inchcape Plc
Inchcape’s data journey from being a team of 5 working like a start-up to an enterprise team of over 150 data professionals.
Protect Sensitive Customer Data with a Single Policy – Yes, It’s Possible! – Anthony Farr, Immuta
Role-based access control has long been the standard for controlling who has access to what data. With data environments becoming complex, RBAC is becoming risky.
