Cloudera

JULY 24, 2023

In their effort to reduce their technology spend, some organizations that leverage open source projects for advanced analytics often consider either building and maintaining their own runtime with the required data processing engines or retaining older, now obsolete, versions of legacy Cloudera runtimes (CDH or HDP).

Open Source 66

Open Source Analytics Software Review Metrics 66

CIO

JULY 14, 2023

But many organizations are limiting use of public tools while they set policies to source and use generative AI models. In the shaper model, you’re leveraging existing foundational models, off the shelf, but retraining them with your own data.” Every company will be doing that,” he adds. “In

Generative AI 246

Generative AI Artificial Inteligence Open Source ChatGPT 246

TechCrunch

MAY 10, 2022

-based companies, 44% said that they’ve not hired enough, were too siloed off to be effective and haven’t been given clear roles. As a result, most machine learning tasks in an organization are bottlenecked on an oversubscribed centralized data science team,” Molino told TechCrunch via email.

Artificial Inteligence 235

Artificial Inteligence Machine Learning Off-The-Shelf Training 235

Cloudera

SEPTEMBER 21, 2021

Many customers looking at modernizing their pipeline orchestration have turned to Apache Airflow, a flexible and scalable workflow manager for data engineers. Airflow users can avoid writing custom code to connect to a new system, but simply use the off-the-shelf providers. Step 0: Skip if you already have Airflow.

Off-The-Shelf 99

Off-The-Shelf Data Engineering Virtualization Cloud 99

O'Reilly Media - Ideas

JANUARY 8, 2019

Whether you’re a business leader or a practitioner, here are key data trends to watch and explore in the months ahead. Increasing focus on building data culture, organization, and training. The demand for data skills (“the sexiest job of the 21st century”) hasn’t dissipated.

Trends 85

Trends Data Machine Learning Artificial Inteligence 85

Netflix Tech

MARCH 7, 2024

Berg , Romain Cledat , Kayla Seeley , Shashank Srikanth , Chaoying Wang , Darin Yu Netflix uses data science and machine learning across all facets of the company, powering a wide range of business applications from our internal infrastructure and content demand modeling to media understanding.

System 93

System Machine Learning Artificial Inteligence Training 93

O'Reilly Media - Data

MARCH 22, 2018

Data Scientist Cathy O’Neil has recently written an entire book filled with examples of poor interpretability as a dire warning of the potential social carnage from misunderstood models—e.g., There is also a trade off in balancing a model’s interpretability and its performance.

Off-The-Shelf 118

Off-The-Shelf Machine Learning Artificial Inteligence Weak Development Team 118