Conferences Archives | Page 10 of 15 | Tecton

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ralf: Real-time, Accuracy Aware Feature Store Maintenance

Feature stores are becoming ubiquitous in real-time model serving systems, however there has been limited work in understanding how features should be maintained over changing data. In this talk, we present ongoing research at the RISELab on …

More ethical machine learning using model cards at Wikimedia

First proposed by Mitchell et al. in 2018, model cards are a form of transparent reporting of machine learning models, their uses, and performance for public audiences. As part of a broader effort to strengthen our ethical approaches to machine …

Workshop: Operationalizing ML Features on Snowflake with Tecton

Many organizations have standardized on Snowflake as their cloud data platform. Tecton integrates with Snowflake and enables data teams to process ML features and serve them in production quickly and reliably, without building custom data pipelines. …

The dbt Semantic Layer

In this talk, Drew will discuss the dbt Semantic Layer and explore some of the ways that Semantic Layers and Feature Stores can be leveraged together to power consistent and precise analytics and machine learning applications.

Intelligent Systems with real-time ML systems

In an omni-commerce space such as Walmart, Personalization is the key to enable customer journeys tailored to their individual needs, preferences and routines. Moreover, in e-commerce, customers’ needs and intent evolve with time as they navigate …

Training Large-Scale Recommendation Models with TPUs

At Snap, we train a large number of deep learning models every day to continuously improve the ad recommendation quality to Snapchatters and provide more value to the advertisers. These ad ranking models have hundreds of millions of parameters and …

Are Transformers Becoming the Most Impactful Technology of the Decade?

In this presentation, Clément will provide insights into the revolution taking place in the open-source community with machine learning. From the CEO who is on a mission to create the “Github of Machine Learning,” learn how the best-in-class …

Machine Learning, Meet SQL: When ML Comes to the Database

SQL has evolved beyond its relational origins to support non-relational abstractions like arrays, JSON, and geospatial data types so it shouldn’t surprise us that SQL is now being used to build and serve machine learning models. In this …

Machine Learning in Production: What I learned from monitoring 30+ models

It’s a software monitoring best practice to alert on symptoms, not on causes. “Customer Order Rate dropped to 0” is a great alert: it alerts directly on a bad outcome. For machine learning stacks, this means we should focus monitoring on the output …

Lessons learned from the Feast community

Feast, the open source feature store, has seen a dramatic rise in adoption as ML teams build out their operational ML use cases. The growth that Feast has experienced is in part due to the project being a community-driven effort, with development …

Wild Wild Tests: Monitoring Recommender Systems in the Wild

As with most Machine Learning systems, recommender systems are typically evaluated through performance metrics computed over held-out data points. However, real-world behavior is undoubtedly nuanced, and case-specific tests must be employed to ensure …

Panel: Common Patterns of the World’s Most Successful ML Teams

There’s a lot we can learn simply by observing the most successful ML teams in the world: how they operate, which technology stack they use, which skill sets they value, and which processes they implement. In this panel, MLOps thought leaders will …

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Unfortunately, Tecton does not currently support these clouds. We’ll make sure to let you know when this changes!

However, we are currently looking to interview members of the machine learning community to learn more about current trends.

If you’d like to participate, please book a 30-min slot with us here and we’ll send you a $50 amazon gift card in appreciation for your time after the interview.

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Interested in trying Tecton? Leave us your information below and we’ll be in touch.​

Unfortunately, Tecton does not currently support these clouds. We’ll make sure to let you know when this changes!

However, we are currently looking to interview members of the machine learning community to learn more about current trends.

If you’d like to participate, please book a 30-min slot with us here and we’ll send you a $50 amazon gift card in appreciation for your time after the interview.

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or

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