Cloudera

NOVEMBER 15, 2021

The word “data” is ubiquitous in narratives of the modern world. And data, the thing itself, is vital to the functioning of that world. This blog discusses quantifications, types, and implications of data. Quantifications of data. Quantifications of data. So data is big and growing.

Unstructured Data 86

Unstructured Data Recreation/Entertainment Structured Data Reporting 86

Sisense

FEBRUARY 24, 2020

What is the ultimate goal of using data internally at your organization? You probably answered something like “Make smarter, data-driven decisions.” You probably answered something like “Make smarter, data-driven decisions.” Developing analytic apps is a bold new direction for product teams.

Analytics 72

Analytics Metrics Data-driven Interactive 72

Jedox

JULY 17, 2018

But it is more than just massive computing power, artificial intelligence with sophisticated algorithms, and tons of data that are propelling this megatrend forward. How we profit from artificial intelligence today – without even knowing. Empowering FP&A to make faster and better business decisions.

Machine Learning 46

Machine Learning Technology Digital Transformation Predictive Analytics 46

Howard Dresner

AUGUST 28, 2013

It's been an especially busy year for us and we're pleased with what we've achieved and excited by what lies ahead. On the home page you'll find our twitter feed, recent articles, latest blog entry and most recent research products. Titles include: What Influences Value of Predictive Analytics?

Business Intelligence 45

Business Intelligence Data Collection Predictive Analytics Marketing 45

Rita Sallam

APRIL 2, 2023

We explored these questions and more at our Bake-Offs and Show Floor Showdowns at our Data and Analytics Summit in Orlando with 4,000 of our closest D&A friends and family. The first featured analytics and BI platform Gartner Magic Quadrant leaders while the other showcased high interest data science and machine learning platforms.

Optimization 52

Optimization Machine Learning Insurance Risk 52

Domino Data Lab

JULY 22, 2019

Paco Nathan presented, “Data Science, Past & Future” , at Rev. This blog post provides a concise session summary, a video, and a written transcript. data science’s emergence as an interdisciplinary field – from industry, not academia. Session Summary. Key highlights from the session include. Transcript.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

IBM Big Data Hub

JUNE 30, 2023

While ensuring that staff feel well-equipped to work efficiently is essential, especially considering the ongoing and pervasive labor shortages in the healthcare industry, medical supply expenses are forecasted to outpace labor costs. In 2022, the pharma industry saw the most units recalled than in the past six years, with 567.3

Consulting 81

Consulting Optimization Forecasting Strategy 81

The Unofficial Google Data Science Blog

JULY 18, 2023

by MICHAEL QUINN, JEREMY MILES, KA WONG As data scientists, we often encounter situations in which human judgment provides the ground truth. E ven after we account for disagreement, human ratings may not measure exactly what we want to measure. Some of this data is human-labeled. This isn’t a new approach either.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

DataRobot

SEPTEMBER 14, 2021

Siloed teams, disconnected tools, the complexity of deploying across distributed clouds, immature operations, all combine to extend deployment timelines, diminish business impact and increase risk to sensitive data and business operations. Augmented Intelligence. But too often and for far too many, the reality is much more challenging.

Machine Learning 52

Machine Learning Marketing Modeling Interactive 52

IBM Big Data Hub

MAY 9, 2023

Today is a revolutionary moment for Artificial Intelligence (AI). Unlike traditional ML, where each new use case requires a new model to be designed and built using specific data, foundation models are trained on large amounts of unlabeled data, which can then be adapted to new scenarios and business applications. But why now?

Data Warehouse 109

Data Warehouse Cost-Benefit Machine Learning Modeling 109

Cloudera

MAY 16, 2018

All three cases require a “big picture” approach that incorporates new and alternative data sources and cross-functional collaboration throughout the organization not only to identify illegal activities, rogue traders, or personal misconduct but also to provide evidential material that demonstrates a deep understanding of the intent.

Data Lake 42

Data Lake Risk Visualization Unstructured Data 42