TechCrunch

JULY 12, 2022

But building data pipelines to generate these features is hard, requires significant data engineering manpower, and can add weeks or months to project delivery times,” Del Balso told TechCrunch in an email interview. Del Balso says it’ll be used to scale Tecton’s engineering and go-to-market teams. “We

Artificial Inteligence 249

Artificial Inteligence Machine Learning Marketing Data Engineering 249

TechCrunch

MAY 10, 2022

” The market for synthetic data is bigger than you think. billion in 2019, nearly 80% of companies have seen their AI projects stall as a result of issues with data quality and a lack of confidence in AI systems, according to an Alegion report.

Artificial Inteligence 235

Artificial Inteligence Machine Learning Off-The-Shelf Training 235

CIO

JANUARY 17, 2023

Matt Doka, CTO of FiveStars, a marketing platform for small businesses, doesn’t like that trade-off and goes out of his way to outsource whatever he can. Figuring that out from the data takes a lot of analysis — work that the 10-person data team had less time for since just maintaining their data infrastructure was eating it all up.

Data Engineering 316

Data Engineering Engineering Data CTO Coach 316

UruIT

OCTOBER 17, 2019

From our experience, we realized that there are great profiles in Bogotá with strong skills in English and technical areas we’re interested in, such as Data Engineering, UX, Devops, and Machine Learning.” Una publicación compartida de UruIT (@uruit_) el 10 Sep, 2019 a las 10:50 PDT. Planning the Colombian expansion.

Technical Review 40

Technical Review Real Estate Airlines Strategic Planning 40

TIBCO - Connected Intelligence

APRIL 22, 2021

Opportunity 1: Stop copying so much data. In its annual Worldwide Global Datasphere Forecast, 2019-2023, IDC projected that only 15% of annual data growth is actually net new data. That means 85% of data growth results from copying data you already have. Your first opportunity may be your largest.

Sustainability 46

Sustainability Virtualization Data Energy 46

O'Reilly Media - Ideas

FEBRUARY 18, 2020

Growth is still strong for such a large topic, but usage slowed in 2018 (+13%) and cooled significantly in 2019, growing by just 7%. Within the data topic, however, ML+AI has gone from 22% of all usage to 26%. In 2019, as in 2018, Python was the most popular language on O’Reilly online learning.

Technical Review 140

Technical Review Microservices Data Engineering Architecture 140

UruIT

OCTOBER 17, 2019

From our experience, we realized that there are great profiles in Bogotá with strong skills in English and technical areas we’re interested in, such as Data Engineering, UX, Devops, and Machine Learning.” Una publicación compartida de UruIT (@uruit_) el 10 Sep, 2019 a las 10:50 PDT. Planning the Colombian expansion.

Technical Review 11

Technical Review Real Estate Airlines Software Review 11