Eric D. Brown

DECEMBER 5, 2016

Statistically speaking, you and/or your company really don’t need machine learning. By ‘statistically speaking’, I mean that most companies today have no absolutely no need for machine learning (ML). ” If they can’t adequately describe these processes, they aren’t ready for machine learning.

Data 100

Data Government Analysis Company 100

CIO Business Intelligence

MARCH 22, 2022

This is where artificial intelligence (AI) comes in. How do you introduce AI into your data and analytics infrastructure? It’s also hugely beneficial to deploy a data catalog or other centralized management mechanism that automatically discovers, tags, and catalogs data so you can manage and audit your policies all in one place. .

Artificial Intelligence 110

Artificial Intelligence Intel Dell Data 110

All Things Distributed

NOVEMBER 30, 2016

From the early days of Amazon, Machine learning (ML) has played a critical role in the value we bring to our customers. Around 20 years ago, we used machine learning in our recommendation engine to generate personalized recommendations for our customers. in ML and neural networks) and access to vast amounts of data.

Development 60

Development Applications Training Analysis 60

GeekWire

JANUARY 2, 2021

Allen School of Computer Science & Engineering; Oren Etzioni, CEO of the Allen Institute for AI; Leslie Alexandre, President and CEO of Life Science Washington; Leen Kawas, CEO of Athira Pharma; Peter Lee, CVP of Research and Incubations at Microsoft; Caroline Lewis, partner at Rogue Venture Partners; and Saad Bashir, CTO for City of Seattle.

Industry 145

Industry Sports Social CTO Hire 145