Category - Data Innovation Summit APAC 2023

Artificial Intelligence Data Innovation Summit APAC 2023 Machine Learning

Your Next MLOps Pipeline – Dor Kedem, Standard Chartered Bank

Applying machine learning at a scale for large organizations requires considering a plethora of challenges.

Data Governance 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.

Artificial Intelligence Data Innovation Summit APAC 2023

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.

Artificial Intelligence Data Innovation Summit APAC 2023 Data Management

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...

Artificial Intelligence Data Innovation Summit APAC 2023

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.

Data Innovation Summit APAC 2023 Data Science

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?

Artificial Intelligence Data Innovation Summit APAC 2023

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...

Artificial Intelligence Data Innovation Summit APAC 2023 Machine Learning

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.

Data Analytics Data Innovation Summit APAC 2023 Data Science

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.

Artificial Intelligence Data Innovation Summit APAC 2023

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.

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Category - Data Innovation Summit APAC 2023

Your Next MLOps Pipeline – Dor Kedem, Standard Chartered Bank

Embed Data Governance into your Business Processes – Hendy Gunawan, Maybank Indonesia

Drive Self-Service Analytics Adoption at Scale – Umesh Ramakrishnan, Traveloka

Architecture Patterns for Modern Master Data Management (MDM) – Vinay Simha, PHILIPS

Productionized IoT and Enterprise Data Solutions at Mann+Hummel – Sreekanth Raghunath, Mann+Hummel

Get Optimal Value from Your Data Science Practice – Goon Yar Jun Caroline, Manulife

How Zalora Navigated the Sunset of Google Analytics in 3 Months – Indah Mustikasari, Zalora Group

Prediction of Impending Failure Using Machine Learning – Rajat Kumar, ST ENGINEERING

How is the World’s Leading Independent Automotive Distributor Reinventing itself through “Data”? – Ram Thilak Prem Kumar, Inchcape Plc

Protect Sensitive Customer Data with a Single Policy – Yes, It’s Possible! – Anthony Farr, Immuta

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