datapine

JANUARY 31, 2022

Using business intelligence and analytics effectively is the crucial difference between companies that succeed and companies that fail in the modern environment. Experience the power of Business Intelligence with our 14-days free trial! Why Is Business Intelligence So Important?

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Rocket-Powered Data Science

JULY 7, 2019

Autonomous Vehicles: Self-driving (guided without a human), informed by data streaming from many sensors (cameras, radar, LIDAR), and makes decisions and actions based on computer vision algorithms (ML and AI models for people, things, traffic signs,…). Chatbots cannot hold long, continuing human interaction. See [link].

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

CIO Business Intelligence

MAY 31, 2022

Businesses are racing toward a future very different from the one they were designed to operate in, as the past few years have brought unexpected change beyond what many could have imagined. We need to learn to interact in a way that promotes trust, specifically in the metaverse. With that said, humans are also in a unique position.

Technology 113

Technology Experimentation Interactive IoT 113

CIO Business Intelligence

MAY 16, 2023

It surpasses blockchain and metaverse projects, which are viewed as experimental or in the pilot stage, especially by established enterprises. Big Data collection at scale is increasing across industries, presenting opportunities for companies to develop AI models and leverage insights from that data.

Advertising 86

Advertising Recreation/Entertainment Experimentation Enterprise 86

Domino Data Lab

FEBRUARY 4, 2019

We’ll unpack curiosity as a core attribute of effective data science, look at how that informs process for data science (in contrast to Agile, etc.), and dig into details about where science meets rhetoric in data science. That body of work has much to offer the practice of leading data science teams. Or something.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Occam's Razor

MARCH 23, 2010

Having two tools guarantees you are going to be data collection, data processing and data reconciliation organization. As of 2010 I still have a lot more years that I spend in the traditional data warehousing / business intelligence world than in web analytics. Likely not. Omniture cannot save you.

Analytics 118

Analytics Consulting Metrics Experimentation 118

Occam's Razor

AUGUST 13, 2012

That's simply because this model is unique to my business and my understand of our data. The nice thing is that my custom attribution model will give me a unique view of the conversion path on MY site (a new column to look at under "% Change from Last Interaction"). Understanding the user interaction model.

Modeling 124

Modeling Metrics Data Quality Data-driven 124