Mike Del Balso, Author at Tecton


Machine Learning: The Past, Present, and Future

In the past 10 years, we’ve seen an explosion of growth both in the use cases for machine learning (ML) and the MLOps tools for putting it into production. It’s now possible for a small team to deliver a use … Read More

Managing the Flywheel of Machine Learning Data

In this post, I’ll explain what the machine learning flywheel is and what the challenges are today—particularly around ML data, which is the lifeblood of any ML application. Read More

Tecton Raises $100M in Series C Funding

In 2019, when Kevin and I decided we wanted to help companies put machine learning into production, we knew the road ahead would be anything but boring. Not only were we on a mission to solve one of the toughest … Read More

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Why Feature Stores Should Extend, Not Replace, Existing Data Infrastructure

During apply(meetup), Ben Wilson, from Databricks, gave a lightning talk on how ML projects shouldn’t be built in isolation. At Tecton, we believe that great ML infra should integrate deeply with existing data infrastructure while providing ML-specific APIs to make data scientists productive. Read More

Apply Conference - April 21st and 22nd from 9:00 AM to 3:00 PM PDT

Announcing apply()’s Speaker Lineup

Tecton is hosting apply(): the ML Data Engineering conference on April 21 and 22, bringing together industry thought leaders and practitioners from over 30 organizations to share and discuss the current and future state of ML data engineering. This conference … Read More

Feature Store in General Availability & Series B Funding

Today marks a big milestone for Tecton. We’re excited to announce that the Tecton feature store is now in General Availability, and that we have raised $35 Million in Series B funding from our existing lead investors, Andreessen Horowitz and … Read More

What is a Feature Store?

This post describes the key components of a modern feature store and how the sum of these parts act as a force multiplier on organizations, by reducing duplication of data engineering efforts, speeding up the machine learning lifecycle, and unlocking a new kind of collaboration across data science teams. Read More

Tecton: The Data Platform for Machine Learning

Today, Jeremy Hermann, Kevin Stumpf and I are excited to introduce Tecton, the company we founded just over a year ago. Tecton’s mission is to make it easy and safe to put machine learning into production to power smart product … Read More

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