Common Sense Virtual Roundtable:

Unlock the Value in Data: Architecting MLOps

26th October 2022, 14:00 – 15:00 KL Time, Successfully held

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Presented by

Vertica Microfocus

Here’s what we discussed:

Companies across industries are getting their arms around data in multiple cloud and on-prem systems with Machine Learning being a key component. Machine learning operations (or MLOps) documents, manages and optimizes the full lifecycle of ML development from ideation to deployment.

The list of potential industries being transformed by machine learning (ML) has exploded in recent years and is poised to continue it’s growth trajectory. To ensure that data models actually get used by business team members, you need to sync data directly to the tools that your business team members use every day, including CRM, ad networks, email tools and more. Some companies are responding by using API gateways and others are adopting reverse ETL tools to send data from their warehouse to business tools with SQL. There are pros and cons to both approaches.
In this session, we discussed how companies are getting the most value from their data models by integrating them better with business use cases.

Solution Experts

Zyrain_347x347
Vertica Regional Channel Sales Director | SEA at Micro Focus
LinkedIn
Koh Boon Chin_347x347
Senior Solutions Architect at Micro Focus
LinkedIn

Here is what we learned:

Santosh Achhra, Sr. Director of Engineering, Visa

• Santosh joined to learn best practices on architectural engineering.
• Post pandemic, Visa has been looking at new ways for its business partners to activate and reactivate their credit card customers.
• Data is collected whenever a card is swiped for a transaction. Using the bare minimum data they see what they can do for their business users or clients. However, they don’t get anything from it.
• Visa measures data with A/B testing and how users compare to the rest of the list. They measure effectiveness before, during, and after a campaign. With this measurement, they can tell if a model is useful or not.
• They have had difficulties finding data engineers and data scientists. Both are specialized skills. They look for experienced talent, but most of the time they need to hire from colleges. They learn by getting their hands ready. They have made good progress, but they are not there yet.
• Without measurement, you’re working blind.

Request detailed session notes

We are careful about who we send this key document to. The session notes will be sent based on the request, provided your profile matches our qualification criteria.

About Vertica:

Vertica is the fastest, most advanced SQL analytics database, available on-premise, on Hadoop, and multiple clouds – all delivered via one unified platform. With tight integration with Hadoop, Kafka, and Spark, and built-in advanced analytics and Machine Learning, Vertica delivers the highest performance at extreme scale. Vertica. Built for fast. Built for freedom.

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