Singapore, Singapore
I have a high expectation and a true focus on customer success and this has been a guiding principle for me through out my career. I aspire to serve and drive customer success to a different level through a solid understanding of markets, products and technology.
Gigamon’s Deep Observability Pipeline stands out because it helps organizations eliminate blind spots, improve the signal-to-noise ratio, and make their existing tools more effective—while also reducing unnecessary traffic before it hits downstream platforms.
Alation is a data intelligence platform that provides a central hub for data discovery, governance, and collaboration. It allows organizations to manage their data assets by providing a unified view of their data landscape, and helps users to find and understand relevant data through intelligent search and collaboration features. Alation also provides a range of data governance capabilities, including data cataloging, data lineage, data quality, and data classification. These features help organizations to ensure that their data is trustworthy and compliant with regulations, such as GDPR, CCPA, and PDPA. Alation is commonly used by data analysts, data scientists, and business users to improve their data literacy and to accelerate their data-driven decision-making processes. It integrates with a wide range of data sources, including databases, data warehouses, and cloud storage platforms.
To make this vision of Enterprise AI a reality, Dataiku is the only platform on the market that provides one simple UI for the entire data pipeline, from data preparation and exploration to machine learning model building, deployment, and monitoring, and everything in between. Dataiku was built from the ground up to support usability in every step of the data pipeline and across all profiles, from data scientist to cloud architect to analyst. Point-and-click features allow those on the business side and other non-coders to explore data and apply AutoML in a visual interface. At the same time, robust coding features (including interactive Python, R, and SQL notebooks, the ability to create reusable components and environments, and much more) make data scientists and other coders first-class citizens as well.