CIO Business Intelligence

MAY 31, 2022

Beyond the fundamentals of cross-device interactions, privacy, and security, becoming a leader in the programmable world will require wide-ranging exploration, experimentation, and development. There are endless avenues to enable new ways to augment, customize, and otherwise “program” our physical environments. billion by 2030.

Technology 111

Technology Experimentation Interactive IoT 111

Insight

MARCH 27, 2019

DeepAugment is an AutoML tool focusing on data augmentation. It utilizes Bayesian optimization for discovering data augmentation strategies tailored to your image dataset. Ways to get better data Efforts to improve the quality of data often have a higher return on investment than efforts to enhance models.

Optimization 75

Optimization Cost-Benefit Modeling Strategy 75

Depict Data Studio

JULY 13, 2021

Most nonprofits provide a service for a specific amount of time, people graduate from that service, and then they go on with their lives (hopefully with more strategies to reach their goals). Your Data Team is the litmus test for determining which things are important and meaningful and which things are not. 6 Months to 40 Years).

Statistics 98

Statistics Testing Recreation/Entertainment Experimentation 98

O'Reilly on Data

MAY 14, 2020

AI PMs should enter feature development and experimentation phases only after deciding what problem they want to solve as precisely as possible, and placing the problem into one of these categories. Experimentation: It’s just not possible to create a product by building, evaluating, and deploying a single model.

Management 363

Management Experimentation B2B Machine Learning 363

Insight

MARCH 12, 2020

In this article, I will discuss the construction of the AIgent, from data collection to model assembly. Data Collection The AIgent leverages book synopses and book metadata. The latter is any type of external data that has been attached to a book? Instead, I built the AIgent. In other words, if 0.1%

Modeling 59

Modeling Metadata Publishing Sales 59

Rocket-Powered Data Science

JULY 6, 2021

2) MLOps became the expected norm in machine learning and data science projects. MLOps takes the modeling, algorithms, and data wrangling out of the experimental “one off” phase and moves the best models into deployment and sustained operational phase. This is critical in our massively data-sharing world and enterprises.

Data-driven 279

Data-driven Machine Learning IoT Deep Learning 279

AWS Big Data

JULY 3, 2023

Backtesting is a process used in quantitative finance to evaluate trading strategies using historical data. This helps traders determine the potential profitability of a strategy and identify any risks associated with it, enabling them to optimize it for better performance. Sell 1 (PVH, PVH) 2022-09-06 18321.729571 55.15

Snapshot 82

Snapshot Data Lake Testing Strategy 82

Occam's Razor

DECEMBER 12, 2016

How do you ensure that your can zig-zag with business strategy? And, of course there is the delicious detail of this strategy not adding burden to your site's visitor experience due to it's async nature. You got me, I am ignoring all the data layer and custom stuff! Macro & Micro Outcomes Content/Strategy.

Analytics 141

Analytics Data-driven Strategy Consulting 141

Cloudera

JUNE 6, 2019

This model increases predictability without creating undesirable data silos. Multi-tenancy Strategies with Virtual Private Clusters. Prior to using Virtual Private Clusters, cluster admins need to decide on an isolation strategy for the compute-only clusters. In other words, tenants map to human beings. 2) By workload type.

Metadata 86

Metadata Data Lake Optimization Strategy 86

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. The biggest time sink is often around data collection, labeling and cleaning.

Management 110

Management Machine Learning Experimentation Metrics 110

Occam's Razor

MAY 27, 2015

In a recent set of keynotes and consulting engagements in the US, UK and Canada, I've had an overwhelming feeling that in very fundamental ways some companies make imprecise choices when it comes to their digital strategy. A data-first strategy is a winning formula. Create an awesome S-T-D-C RM strategy first.

Marketing Analytics 153

Marketing Analytics Marketing Analytics Advertising 153

Occam's Razor

SEPTEMBER 15, 2014

Nothing I can tell you about the importance of having an incredible mobile strategy will surprise you. If you look at the mobile marketing strategies, you will see they don't reflect this shift to mobile. Create a distinct mobile website and mobile app measurement strategies. Media-Mix Modeling/Experimentation.

Metrics 141

Metrics Reporting Analytics Marketing 141

Occam's Razor

MARCH 23, 2010

Having two tools guarantees you are going to be data collection, data processing and data reconciliation organization. If nothing else convinces you, remember that clickstream data is a small part of the data you'll use to make smart Web Analytics 2.0 our measurement strategies 2.

Analytics 118

Analytics Consulting Metrics Experimentation 118

Occam's Razor

OCTOBER 19, 2010

Depending on the size of your company (translation: resources available and what's impactful and doable) here is the priority order that I recommend for you to execute your web analytics tools strategy right. They'll simply puke data faster and, if you implement them right, more efficiently. Three tools.

Analytics 135

Analytics Testing Measurement Optimization 135

Occam's Razor

AUGUST 13, 2012

The central team is responsible for analytics frameworks, centralized contracts (tools, consultants), for aggregated company level analysis, complex project execution (experimentation, media mix models etc) and for setting standards. What strategies have resulted in your organization becoming data driven rather than faith driven?

Modeling 124

Modeling Metrics Data Quality Data-driven 124

datapine

JANUARY 31, 2022

It’s all about using data to get a clearer understanding of reality so that your company can make more strategically sound decisions (instead of relying only on gut instinct or corporate inertia). Ultimately, business intelligence and analytics are about much more than the technology used to gather and analyze data.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

Implicitly, there was a prior belief about some interesting causal mechanism or an underlying hypothesis motivating the collection of the data. As computing and storage have made data collection cheaper and easier, we now gather data without this underlying motivation.

Experimentation 61

Experimentation Testing Statistics Metrics 61

Occam's Razor

JANUARY 7, 2014

Remember none of these jobs will do any data collection/IT work, even in medium-sized companies.) But if their primary output is just data, and not actions to take expressed in English or verbally in weekly senior staff meeting, then they are simply Reporting Squirrels. Most companies hire a Web Analyst, Sr.

Data-driven 140

Data-driven Consulting Reporting Marketing 140

Occam's Razor

APRIL 29, 2013

Marketer, is not spent with data you''ll fail to achieve professional success.]. Many used some data, but they unfortunately used silly data strategies/metrics. And silly simply because as soon as the strategy/success metric being obsessed about was mentioned, it was clear they would fail. You'll get fired.

Marketing 166

Marketing Metrics Advertising Measurement 166

Occam's Razor

OCTOBER 12, 2017

The tiny downside of this is that our parents likely never had to invest as much in constant education, experimentation and self-driven investment in core skills. One sample strategy: Expect that I'll ask open-ended questions (If a company has 90% Reach on TV, why the heck do they need digital?). Beautiful, right? SCOTUSblog FTW!

Marketing 136

Marketing Analytics Machine Learning Strategy 136