O'Reilly on Data

APRIL 23, 2024

Google and Amazon were still atop their respective hills of web search and ecommerce in 2010, and Meta’s growth was still accelerating, but it was hard to miss that internet growth had begun to slow. It’s unclear whether this was a lack of imagination or a kind of “ strategy tax.” The market was maturing.

Advertising 279

Advertising Cost-Benefit Marketing Risk 279

CIO Business Intelligence

FEBRUARY 26, 2024

This article was co-written by Chris Davis, Partner, Metis Strategy , and Kelley Dougherty, Associate, Metis Strategy To succeed as a large, global company, there is no choice but to harness the power of technology talent around the world. with Scrum Masters and engineering teams in the alternative location.

Cost-Benefit 88

Cost-Benefit Measurement Modeling Strategy 88

Domino Data Lab

APRIL 3, 2019

Not that I’m implying anything about current economic conditions vis-a-vis the timing of this report… #justsayin. Enterprise Repository Era” (1990–2010) – first generation DG solutions. More Policies Emerged” (2010-2018). Andrew Ng later described this strategy as the “Virtuous Cycle of AI” – a.k.a. Cynical Perspectives.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Occam's Razor

SEPTEMBER 15, 2014

Nothing I can tell you about the importance of having an incredible mobile strategy will surprise you. In blue is how much time we spent in 2010 and in blue the time spent in 2014. was the dramatic shift between 2010 to 2014 to mobile content consumption. Create a distinct mobile website and mobile app measurement strategies.

Metrics 141

Metrics Reporting Analytics Marketing 141

O'Reilly on Data

SEPTEMBER 19, 2023

” Each step has been a twist on “what if we could write code to interact with a tamper-resistant ledger in real-time?” ” There’s as much Keras, TensorFlow, and Torch today as there was Hadoop back in 2010-2012. This technique simulates interactions in a complex system. The mess is far from over.

Machine Learning 256

Machine Learning Testing Modeling Cost-Benefit 256

Occam's Razor

AUGUST 28, 2017

Why the scale at which we can (/have to) solve the problems is already well beyond the grasp of the fundamental strategy most companies follow: We have a bigger revenue opportunity, but we don’t know how to take advantage? The first eye-opening learning for me came from the Google Research team’s post on Learning from Large-Scale Interaction.

Deep Learning 139

Deep Learning Machine Learning Marketing Strategy 139

Occam's Razor

MARCH 23, 2010

When it comes to proving which campaigns are better and which numbers to report to the management what will you do? I realize for some HiPPO's old habits die hard, they won't even let you run a report without seeing a case study. You are far too busy actually reporting and analyzing to keep pace with all the wonderful evolution.

Analytics 118

Analytics Consulting Metrics Experimentation 118