TechCrunch

MAY 3, 2022

A separate Gartner report found that only 53% of projects make it from prototypes to production, presumably due in part to errors — a substantial loss, if one were to total up the spending. ” Chatterji has a background in data science, having worked at Google for three years at Google AI.

Artificial Inteligence 223

Artificial Inteligence Machine Learning Development Software Review 223

StubHub

FEBRUARY 21, 2019

By Corey Reed, Head of Data Science & Satya Gandham, Machine Learning Engineering Manager When you serve millions of customers every year?—?averaging That extensive opportunity is further enhanced by our ongoing migration to the cloud which has created several new and exciting avenues to explore. averaging more than 1.3

Data 45

Data Artificial Inteligence Machine Learning Engineering 45

Honeycomb

JANUARY 5, 2021

My purpose as a Developer Advocate is to help software teams with their work, and that work can have positive ripple effects. Our existing deploy tooling and engineering culture made the transition to remote work go much more smoothly. No Q4 code freezes for us. no oversharing or prying). Sales and Customer Success.

Part-Time VPE 57

Part-Time VPE Technical Review Engineering Software Review 57

Honeycomb

JANUARY 5, 2021

My purpose as a Developer Advocate is to help software teams with their work, and that work can have positive ripple effects. Our existing deploy tooling and engineering culture made the transition to remote work go much more smoothly. No Q4 code freezes for us. no oversharing or prying). Sales and Customer Success.

Part-Time VPE 52

Part-Time VPE Technical Review Engineering Software Review 52

O'Reilly Media - Ideas

OCTOBER 19, 2021

This is both frustrating for companies that would prefer making ML an ordinary, fuss-free value-generating function like software engineering, as well as exciting for vendors who see the opportunity to create buzz around a new category of enterprise software. All ML projects are software projects.

DevOps 142

DevOps Data Software Review Technical Advisors 142

Altexsoft

APRIL 26, 2022

on-premise — hardware and software are installed locally; cloud-based — resources are deployed either in public or private cloud environments; and. hybrid cloud — the aforementioned capabilities are available under one roof. As such, it is considered cloud-agnostic. What is Snowflake? Source: Snowflake.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59