IBM Big Data Hub

NOVEMBER 13, 2023

Developed internally at Google and released to the public in 2014, Kubernetes has enabled organizations to move away from traditional IT infrastructure and toward the automation of operational tasks tied to the deployment, scaling and managing of containerized applications (or microservices ).

Machine Learning 107

Machine Learning Data-driven Software Testing 107

datapine

MAY 2, 2019

Data-driven storytelling is a powerful force as it takes stats and metrics and puts them into context through a narrative that everyone inside or outside of the organization can understand. In our example above, we are showing Sales by Payment Method for all of 2014. They display relationships in how data changes over a period of time.

Visualization 173

Visualization Dashboards Sales Data-driven 173

Sisense

JUNE 9, 2021

And also like their counterparts in the business world, coaches are relying on metrics to guide their decision-making. In training, wearable devices measure players’ workload, movement, and fatigue levels to manage their fitness and positioning and optimize their performance during play.

Analytics 98

Analytics Data-driven Internet of Things Measurement 98

CIO Business Intelligence

MAY 16, 2022

ITIL 4 contains seven guiding principles that were adopted from the most recent ITIL Practitioner Exam, which covers organizational change management, communication, and measurement and metrics. Since 2014, Axelos is the owner of the ITIL personnel certification, and exams are administered by Accredited Training Organizations (ATOs).

IT 105

IT Cost-Benefit ROI Risk 105

AWS Big Data

FEBRUARY 28, 2024

OpenSearch Ingestion is a fully managed, serverless data collector that delivers real-time log, metric, and trace data to Amazon OpenSearch Service domains and Amazon OpenSearch Serverless collections. Terraform is an infrastructure as code (IaC) tool that helps you build, deploy, and manage cloud resources efficiently.

Metrics 72

Metrics Management Software Testing 72

Domino Data Lab

AUGUST 22, 2019

At the time—in 2014—the three were colleagues working. You can home in on an optimal value by specifying, say, 32 dimensions and varying this value by powers of 2. If we were using CBOW, then a window size of 5 (for a total of 10 context words) could be near the optimal value. Pennington, J., GloVe: Global vectors. 0.85 = 0.15.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

datapine

FEBRUARY 23, 2023

The metrics are different and useful independently, but together, they tell a compelling story. Also, showing the relationship between selected multiple variables is not optimal for waterfall charts (also known as Cascade charts), as bubble plots or scatter plots would be a more effective solution.

Visualization 177

Visualization Dashboards Sales Measurement 177

bridgei2i

SEPTEMBER 1, 2020

A glance at the Adobe Digital Economy Index for April 2020 in the consumer tech & electronics department revealed some interesting insights: Online electronics prices have been experiencing deflation at a steady rate since 2014. The Optimizer plays a vital role in the pricing of commodities available on digital commerce sites.

Sales 52

Sales Metrics Optimization Enterprise 52

Insight

JANUARY 14, 2020

Choosing your loss function and optimizer Finally, in the last block of code, we must compile the model that we just built. We pass 3 parameters: loss, optimizer , and metrics. The goal here is to optimize the weights such that the loss is minimized. The class with the highest probability is the winner.

Metrics 58

Metrics Optimization Modeling Testing 58

Sisense

FEBRUARY 24, 2021

To help provide guidance for what role a chief data officer should play at a particular organization, Yang Lee and a research team introduced their cubic framework for the chief data officer in their seminal 2014 paper for MIS Quarterly Executive.

Data Warehouse 69

Data Warehouse Big Data Metrics Visualization 69

AWS Big Data

JULY 25, 2023

As their workload evolved, Alcion engineers tracked OpenSearch domain utilization via the provided Amazon CloudWatch metrics, making changes to increase storage and optimize their compute resources. This allowed Alcion to focus on optimizing the tenancy model for the new search architecture.

Cost-Benefit 80

Cost-Benefit Modeling Management Optimization 80

CIO Business Intelligence

DECEMBER 18, 2023

During its long-term collaboration with SAP, Hoffenheim has achieved many things including assessing the health and performance of players, personalizing fan experiences to increase engagement and loyalty, and migrating and optimizing its business processes to a single platform to support international growth.

Sales 52

Sales Finance Optimization Interactive 52

Domino Data Lab

SEPTEMBER 9, 2019

For example, with those open source licenses we can download their text, parse, then compare similarity metrics among them: In [12]: pairs = [?. ["mit", "asl"],?. ["asl", "bsd"],?. ["bsd", "mit"] ?]? ?for …. One common use case for natural language work is to compare texts. for a, b in pairs:?.

Deep Learning 110

Deep Learning Machine Learning Data Science Visualization 110

AWS Big Data

JANUARY 22, 2024

Founded in 2014, Acast is the world’s leading independent podcast company, elevating podcast creators and podcast advertisers for the ultimate listening experience. Through the lenses of the tool, Acast was able to address better monitoring, cost optimization , performance, and security.

Data-driven 99

Data-driven Advertising Metadata Data Architecture 99

The Unofficial Google Data Science Blog

JUNE 30, 2016

It should be noted that inverse probability weighting is not generally optimal (i.e., We do this by describing the methods in terms of loss functions whose expectation is optimized at the true value of the propensity score. This algorithm is implemented in the SuperLearner R package (Polley & van der Laan, 2014).

Statistics 45

Statistics Optimization Modeling Experimentation 45

Occam's Razor

SEPTEMBER 15, 2014

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. They will need two different implementations, it is quite likely that you will end up with two sets of metrics (more people focused for mobile apps, more visit focused for sites).

Metrics 143

Metrics Reporting Analytics Marketing 143

Occam's Razor

FEBRUARY 9, 2015

. + Traffic Trends Key Metrics Analysis. Onsite Behavior Key Metrics Analysis. I tend to use Hitwise a lot less, or not at all, because it is a very hard to use, it is slow, the UX/UI, metrics and reports have not really evolved over the years. Traffic Trends Key Metrics Analysis. Visitor/Audience Type Profile Analysis.

Metrics 156

Metrics Reporting IT Advertising 156

O'Reilly on Data

APRIL 23, 2024

Instead of continuing to deploy their attention optimization algorithms for their users’ and suppliers’ benefit, the tech giants began to use them to favor themselves. The most-clicked sponsored products were 17% more expensive and 33% lower ranked according to Amazon’s own quality, price, and popularity optimizing algorithms.

Advertising 334

Advertising Cost-Benefit Marketing Risk 334

Occam's Razor

MARCH 10, 2015

The other big reason for Universal Analytics is this, the column in the middle: The data is from the Q4 2014 Quarterly Retail E-Commerce Sales from the US Census Bureau. You can't really take your offline data about me (family person, xx age, loves to buy from your catalog) and optimize my online experience. You can now do both.

Strategy 153

Strategy Analytics Measurement Business Analysis 153

Occam's Razor

JUNE 11, 2014

In 2014 those numbers are 5:46 for digital and 4:28 on TV. In early 2014 that number is 2 hours and 51 minutes! It is 2014 after all. Then we did the next most optimal thing, focused on creating "bold standard" reviews. Take any metric you want. Pick any metric you want. How crazy is that?

Marketing 151

Marketing Strategy Sales IT 151

Occam's Razor

NOVEMBER 18, 2014

And sometimes they are indeed optimal: 7 Data Presentation Tips: Think, Simplify, Calibrate, Visualize. You can hover over each box to get a sense of the key metrics. Better than the table, but perhaps less optimal than the Treemap. We know the optimization that is required. Our lives are dominated by columns and rows.

Visualization 145

Visualization Slice and Dice Predictive Modeling Metrics 145

Domino Data Lab

AUGUST 1, 2021

Because of its architecture, intrinsically explainable ANNs can be optimised not just on its prediction performance, but also on its explainability metric. Joint training, for example, adds an additional “explanation task” to the original problem and trains the system to solve the two “jointly” (see Bahdanau, 2014).

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Occam's Razor

SEPTEMBER 21, 2015

The Directors, the Marketers, the Optimization employees and our resident social media gurus. You can cut yourself with it and embarrass yourself, or you can look the very best you ever have by using it optimally. First, someone worked really hard on this and created a really nice model for a smarter decision to be made for 2014.

Visualization 161

Visualization Key Performance Indicator Slice and Dice Strategy 161

O'Reilly on Data

NOVEMBER 7, 2019

YouTube’s and Facebook’s algorithms for optimizing “engagement” can make any content viral in seconds. The danger is that online advertising is searching for engagement and virality, and it’s much easier to maximize engagement metrics with faked extreme content. Once you’ve created a fake, you can use social media to propagate it.

Advertising 234

Advertising Metadata Technology Software 234

Domino Data Lab

FEBRUARY 4, 2019

Curiosity as an antidote for a typical enterprise anti-pattern: in the absence of narrative, people make up stories (read: myths) from whatever partial data is at hand that serves the immediate interests(see chapter 2 in Understanding Context by Andrew Hinton (2014). Echoing Amy’s point about ownership as a driver for teams.

Data Science 66

Data Science Experimentation Machine Learning Data-driven 66

O'Reilly on Data

JANUARY 25, 2021

in 2008 and continuing with Java 8 in 2014, programming languages have added higher-order functions (lambdas) and other “functional” features. We don’t see that in our data, though there are certainly some metrics to say that artificial intelligence has stalled. Starting with Python 3.0 Neither is challenging the dominant players.

Machine Learning 364

Machine Learning Software Testing Technology 364