Ontotext

JULY 6, 2023

The solution also reduces incident response times, optimizes processes and streamlines asset management. It provides easy data access for AI applications and fosters the development of new applications within the enterprise. Experimentation with different technical analysis services becomes possible.

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

Octopai

MAY 2, 2022

A successful data analytics team is one that can increase the quantity of data analytics products they develop in a given time while ensuring (and ideally, improving) the level of data quality. Just-in-Time” manufacturing increases production while optimizing resources. Enter DataOps. What is DataOps?

Manufacturing 87

Manufacturing Testing Experimentation Data Quality 87

O'Reilly on Data

MARCH 31, 2020

Because it’s so different from traditional software development, where the risks are more or less well-known and predictable, AI rewards people and companies that are willing to take intelligent risks, and that have (or can develop) an experimental culture. These companies eventually moved beyond using data to inform product design decisions.

Management 327

Management Machine Learning Experimentation Metrics 327

Domino Data Lab

JUNE 23, 2019

Skomoroch proposes that managing ML projects are challenging for organizations because shipping ML projects requires an experimental culture that fundamentally changes how many companies approach building and shipping software. Yet, this challenge is not insurmountable. for what is and isn’t possible) to address these challenges.

Management 110

Management Machine Learning Experimentation Metrics 110

Occam's Razor

DECEMBER 12, 2016

Data quality plays a role into this. And, most of the time, regardless of the size of the size of the company, you only know your code is not working post-launch when data is flowing in (not!). You got me, I am ignoring all the data layer and custom stuff! This is sub-optimal. Optimal Analytics Team Org Structure.

Analytics 141

Analytics Data-driven Strategy Consulting 141

Occam's Razor

AUGUST 13, 2012

The questions reveal a bunch of things we used to worry about, and continue to, like data quality and creating data driven cultures. I can use that to hypothesize what an optimal budget allocation might look like. They also reveal things that starting to become scary (Privacy! EU Cookies!)

Modeling 124

Modeling Metrics Data Quality Data-driven 124

Occam's Razor

AUGUST 22, 2011

Slay The Analytics Data Quality Dragon & Win Your HiPPO's Love! Web Data Quality: A 6 Step Process To Evolve Your Mental Model. Data Quality Sucks, Let's Just Get Over It. Build A Great Web Experimentation & Testing Program. Experimentation and Testing: A Primer. Got Surveys?

KPI 124

KPI Metrics Measurement ROI 124

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.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Occam's Razor

NOVEMBER 13, 2009

No dragging of the feet, the book starts with a bang by laying out the framework that will be the center of every company that will leverage data (qualitative, quantitative, competitive) on the web. Chapter 2 The Optimal Strategy for Choosing Your Web Analytics Soul Mate. Chapter 10 Optimal Solutions for Hidden Web Analytics Traps.

Analytics 71

Analytics Metrics Measurement Testing 71

IBM Big Data Hub

JANUARY 17, 2023

As part of a data fabric, IBM’s data integration capability creates a roadmap that helps organizations connect data from disparate data sources, build data pipelines, remediate data issues, enrich data quality, and deliver integrated data to multicloud platforms. Data science and MLOps.

Data-driven 56

Data-driven Enterprise Data Governance Prescriptive Analytics 56

Alation

DECEMBER 14, 2021

These systems offer numerous web-centric features that bolster customer service and engagement, provide server scalability during periods of fluctuating traffic, and allow easy experimentation with new technologies and promotional strategies. Optimized business continuity. What is cloud-optimized? What is cloud-native?

Cost-Benefit 52

Cost-Benefit Data Processing Optimization Consulting 52