O'Reilly on Data

JULY 28, 2020

Without clarity in metrics, it’s impossible to do meaningful experimentation. Experiments allow AI PMs not only to test assumptions about the relevance and functionality of AI Products, but also to understand the effect (if any) of AI products on the business. Don’t expect agreement to come simply.

Marketing 361

Marketing Experimentation Metrics Testing 361

IBM Big Data Hub

MAY 17, 2024

An examination of cloud capabilities and maturity is a key component of this digital transformation and cloud adoption presents tremendous upside. Everything runs seamlessly and efficiently and all stakeholders are aware of the cloud’s potential to drive business objectives.

Modeling 93

Modeling Cost-Benefit Optimization Digital Transformation 93

CIO Business Intelligence

JUNE 28, 2023

As Belcorp considered the difficulties it faced, the R&D division noted it could significantly expedite time-to-market and increase productivity in its product development process if it could shorten the timeframes of the experimental and testing phases in the R&D labs.

Digital Transformation 91

Digital Transformation Cost-Benefit Informatics Data mining 91

CIO Business Intelligence

JULY 17, 2023

What are some of the unique data and cybersecurity challenges that Havmor faces as a vast customer-centric business? With cybersecurity and data protection, end-user awareness presents itself as a key challenge. We need to define our business objective before adopting those new tools, because AI is simply algorithm.

IT 92

IT Digital Transformation IoT Internet of Things 92

Cloudera

APRIL 9, 2019

For example, if you want to optimize for agility and experimentation, you probably will be better off doing so with an ephemeral public cloud infrastructure. Transforming Your Business with Multi-cloud and Hybrid Strategies. Your business objectives should drive your cloud strategies.

Strategy 53

Strategy Experimentation Metadata Business Objectives 53

The Unofficial Google Data Science Blog

JANUARY 14, 2016

Unlike experimentation in some other areas, LSOS experiments present a surprising challenge to statisticians — even though we operate in the realm of “big data”, the statistical uncertainty in our experiments can be substantial. We must therefore maintain statistical rigor in quantifying experimental uncertainty.

Experimentation 41

Experimentation Statistics Metrics Measurement 41

Sisense

MAY 18, 2021

This illuminates a disconnect: Marketers understand data’s significance, but they don’t know how to use it to best serve their business objectives. When you discover data that means something, you need to be agile enough to make experimental changes.”. Mistake #2: Choosing the wrong data visualization to present your data.

Marketing 52

Marketing Data Analytics Analytics Metrics 52