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. Cloud adoption maturity model This maturity model helps measure an organization’s cloud maturity in aggregate. DevOps and DevSecOps are operational, highly skilled and fully scaled.

Modeling 73

Modeling Cost-Benefit Optimization Digital Transformation 73

AWS Big Data

NOVEMBER 2, 2023

The combination of EMR Serverless and Graviton2 presents an exciting opportunity to enhance the data processing capabilities and drive efficiency in our operations. AWS benchmark The AWS team performed benchmark tests on Spark workloads with Graviton2 on EMR Serverless using the TPC-DS 3 TB scale performance benchmarks.

Cost-Benefit 87

Cost-Benefit Big Data Testing Optimization 87

O'Reilly on Data

MARCH 31, 2020

In the best case scenario, the trained neural network accurately represents the underlying phenomenon of interest and produces the correct output even when presented with new input data the model didn’t see during training. This has serious implications for software testing, versioning, deployment, and other core development processes.

Management 332

Management Machine Learning Experimentation Metrics 332

CIO Business Intelligence

AUGUST 16, 2023

But today, Svevia is driving cross-sector digitization projects where new technology for increased safety for road workers and users is tested. Finally, there’s a presentation layer to reach the world outside Svevia in order to exchange data with customers. A third area to be optimized is the salting of roads during the winter.

Risk 96

Risk Cost-Benefit Digital Transformation Internet of Things 96

datapine

JANUARY 31, 2022

For example, in regards to marketing, traditional advertising methods of spending large amounts of money on TV, radio, and print ads without measuring ROI aren’t working like they used to. Everything is being tested, and then the campaigns that succeed get more money put into them, while the others aren’t repeated.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

CIO Business Intelligence

MAY 16, 2023

It surpasses blockchain and metaverse projects, which are viewed as experimental or in the pilot stage, especially by established enterprises. Big Data collection at scale is increasing across industries, presenting opportunities for companies to develop AI models and leverage insights from that data.

Advertising 102

Advertising Recreation/Entertainment Experimentation Enterprise 102

The Unofficial Google Data Science Blog

OCTOBER 7, 2015

by HENNING HOHNHOLD, DEIRDRE O'BRIEN, and DIANE TANG In this post we discuss the challenges in measuring and modeling the long-term effect of ads on user behavior. A/B testing is used widely in information technology companies to guide product development and improvements.

Modeling 61

Modeling Experimentation Knowledge Discovery Testing 61

CIO Business Intelligence

FEBRUARY 21, 2023

The firm’s connected brewery IoT platform, for instance, is being used for data ingestion and edge computing in breweries, enabling local teams to analyze, adjust, test and optimize production processes, with this in-turn allowing operations to leverage real-time and historical data to support the workers on the shop floor.

Digital Transformation 105

Digital Transformation Sales Experimentation Optimization 105

O'Reilly on Data

OCTOBER 13, 2020

In Bringing an AI Product to Market , we distinguished the debugging phase of product development from pre-deployment evaluation and testing. During testing and evaluation, application performance is important, but not critical to success. Debugging AI Products. Inference Task Speed and SLOs.

Management 244

Management Metrics Machine Learning Modeling 244

Sisense

JANUARY 21, 2020

This is an example of Simpon’s paradox , a statistical phenomenon in which a trend that is present when data is put into groups reverses or disappears when the data is combined. As an example, I’ll present a case from The Book of Why by Judea Pearl. A new drug promising to reduce the risk of heart attack was tested with two groups.

Testing 104

Testing Risk Data-driven Statistics 104

Cloudera

MARCH 2, 2022

How do we achieve removing these booleans, as they need to be present for every Bucket and DuplicateNode? Experimental evaluation: We did extensive evaluation of the technique to see how it affects performance and memory utilization. It also measured peak memory consumed at the node and the operator level. Microbenchmark.

Data Warehouse 87

Data Warehouse Optimization Analytics Sales 87

IBM Big Data Hub

APRIL 18, 2024

While leaders have some reservations about the benefits of current AI, organizations are actively investing in gen AI deployment, significantly increasing budgets, expanding use cases, and transitioning projects from experimentation to production. This personalized approach might lead to more effective therapies with fewer side effects.

Cost-Benefit 97

Cost-Benefit Modeling Manufacturing Interactive 97

CIO Business Intelligence

OCTOBER 18, 2023

Gen AI boom in the making Many early and established forays into generative AI are being developed on the AI platforms of cloud leaders Microsoft, Google, and Amazon, reportedly with numerous guardrails and governance measures in place to contain unrestricted exploration.

Risk 141

Risk Manufacturing Enterprise Technology 141

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

Domino Data Lab

JUNE 23, 2019

Pete Skomoroch presented “ Product Management for AI ” at Rev. 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. Session Summary. It is similar to R&D.

Management 110

Management Machine Learning Experimentation Metrics 110

Domino Data Lab

AUGUST 6, 2021

The early definition now accepted as standard in the industry is: “The use of models invariably presents model risk, which is the potential for adverse consequences from decisions based on incorrect or misused model outputs and reports.” Model implementation. Also beware using a model outside of the environment for which it was designed.

Risk Management 64

Risk Management Risk Modeling Enterprise 64

datapine

FEBRUARY 4, 2020

Management thinker Peter Drucker once stated, “if you can’t measure it, you can’t improve it” – and he couldn’t be more right. That’s why we will present annual, monthly, weekly, daily and digital marketing reports that you can use for your own promotional activities and upscale your marketing efforts.

Reporting 280

Reporting Marketing Advertising Metrics 280

Occam's Razor

AUGUST 22, 2011

Key To Your Digital Success: Web Analytics Measurement Model. " Measuring Incrementality: Controlled Experiments to the Rescue! Barriers To An Effective Web Measurement Strategy [+ Solutions!]. Measuring Online Engagement: What Role Does Web Analytics Play? "Engagement" How Do I Measure Success?

KPI 124

KPI Metrics Measurement ROI 124

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

Yet when we use these tools to explore data and look for anomalies or interesting features, we are implicitly formulating and testing hypotheses after we have observed the outcomes. We must correct for multiple hypothesis tests. 1]" Statistics, as a discipline, was largely developed in a small data world. We ought not dredge our data.

Experimentation 61

Experimentation Testing Statistics Metrics 61

Domino Data Lab

DECEMBER 4, 2020

Domino Lab supports both interactive and batch experimentation with all popular IDEs and notebooks (Jupyter, RStudio, SAS, Zeppelin, etc.). Once all packages have been imported, we can move on to loading our test data. TIME – time points of measured pain score and plasma concentration (in hrs). and 3 to 8 hours.

Metrics 59

Metrics Data Science Knowledge Discovery Measurement 59

The Unofficial Google Data Science Blog

DECEMBER 14, 2021

In this post, we discuss three types of uncertainty: Statistical uncertainty : the gap between the estimand , the unobserved property of the population we wish to measure, and an estimate of it from observed data. Representational uncertainty : the gap between the desired meaning of some measure and its actual meaning.

Uncertainty 56

Uncertainty Statistics Measurement Cost-Benefit 56

Ontotext

APRIL 3, 2024

In this post we present you with insight gathered at the Knowledge Graph Forum during the panel on Financial Services. So, this is a big driver for the outcome because when you are saving money for the business, you can measure it and see its value. The business why behind knowledge graph projects Peio Popov : Welcome, everyone!

Technology 59

Technology Risk Digital Transformation Measurement 59

Alation

SEPTEMBER 28, 2022

Automated testing to ensure data quality. Alation provides robust DataOps solutions that help you foster collaboration, build trusted data solutions, automate testing & monitoring, and visualize data pipelines. Technical environments and IDEs must be disposable so that experimental costs can be kept to a minimum. Simplicity.

Cost-Benefit 52

Cost-Benefit Data Quality Manufacturing Testing 52

Domino Data Lab

MAY 8, 2019

Visualizations are vital in data science work, with the caveat that the information that they convey may be 4-5 layers of abstraction away from the actual business process being measured. measure the subjects’ ability to trust the models’ results. Information can get quite distorted after being abstracted that many times.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

The Unofficial Google Data Science Blog

MAY 31, 2016

Similarly, we could test the effectiveness of a search ad compared to showing only organic search results. It is important that we can measure the effect of these offline conversions as well. Panel studies make it possible to measure user behavior along with the exposure to ads and other online elements. days or weeks).

Advertising 42

Advertising Testing Sales Statistics 42

Occam's Razor

JANUARY 7, 2014

The organization functions off a clearly defined Digital Marketing & Measurement Model. #1. So insist that no piece of data (report, dashboard, sexy table) will ever be presented without relevant segmentation. More on the Digital Marketing & Measurement Model, DMMM, in #2 below.). Usability testing (lab based or online).

Data-driven 140

Data-driven Consulting Reporting Marketing 140

Occam's Razor

NOVEMBER 2, 2015

Higher Order Bits: Human vs. Business, Success KPIs, S-T-D-C Framework, MoR Test. For the rest of this post, I'm going to use the first three to capture the essence of social engagement and brand impact, and one to measure impact on the business. It covers, content, marketing and measurement. It is pronounced the more test.

B2B 167

B2B Metrics Testing Recreation/Entertainment 167

Cloudera

JUNE 6, 2019

when an admin uses the cluster creation wizard, CM presents two options: (1) create a traditional cluster, or (2) create a compute cluster. We sometimes refer to this as splitting “dev/test” from “production” workloads, but we can generalize the approach by referring to the overall priority of the workload for the business.

Metadata 85

Metadata Data Lake Optimization Strategy 85

Occam's Razor

MARCH 23, 2010

Too many new things are happening too fast and those of us charged with measuring it have to change the wheels while the bicycle is moving at 30 miles per hour (and this bicycle will become a car before we know it – all while it keeps moving, ever faster). Usually at least a test. And I doubt it is going to happen soon.

Analytics 118

Analytics Consulting Metrics Experimentation 118

Occam's Razor

SEPTEMBER 15, 2014

But why blame others, in this post let's focus on one important reason whose responsibility can be squarely put on your shoulders and mine: Measurement. Create a distinct mobile website and mobile app measurement strategies. Media-Mix Modeling/Experimentation. Remember my stress earlier on measuring micro-outcomes?).

Metrics 141

Metrics Reporting Analytics Marketing 141

Occam's Razor

OCTOBER 19, 2010

First presented at an eMetrics summit in 2005 the 10/90 rule was borne out of my observations of why most companies fail miserably at web analytics. If you have evolved to a stage that you need behavior targeting then get Omniture Test and Target or Sitespect. You'll measure Task Completion Rate in 4Q (below).

Analytics 135

Analytics Testing Measurement Optimization 135

Occam's Razor

NOVEMBER 5, 2007

The big concept was Multiplicity and it was presented by Guy Creese (then Research Director for Aberdeen Group). Let's fast forward to the present (an amazing four years later!). I have already presented my mental model for Web Analytics 2.0. It was totally worth it. Two New, Interesting & Non-Obvious Tools.

Analytics 98

Analytics Experimentation Metrics Measurement 98

O'Reilly on Data

OCTOBER 19, 2021

ML apps need to be developed through cycles of experimentation: due to the constant exposure to data, we don’t learn the behavior of ML apps through logical reasoning but through empirical observation. An Overarching Concern: Correctness and Testing. This approach is not novel. Why did something break? Who did what and when?

IT 346

IT Testing Experimentation Software 346

Occam's Razor

AUGUST 12, 2013

I strongly encourage you to read the post and deeply understand all three and what your marketing and measurement possibilities and limitations are. If you see a value greater than one, that channel has a propensity to be present earlier in the conversion cycle. All three challenges are important. Do You Have an Attribution Problem?

Modeling 161

Modeling Optimization Marketing Interactive 161

Occam's Razor

JANUARY 9, 2012

It is a lot easier to predict the present. Rather, I'm going to share a clump of realities/rules garnered from the present to help ready you for the predictable near future. Most companies are astonishingly blasé about data and possibilities of measurement. So I'm not going to do that. One of my biggest learnings?

Marketing 140

Marketing B2B Measurement Risk 140

Domino Data Lab

AUGUST 26, 2019

This control prevents overfitting and reduction in predictive accuracy on new test data. If we don’t like the result of testing after training, we can also select an entirely different learning machine with different internals. We can take this model to other, novel data and perform a final hold-out test assessment.

Testing 79

Testing Modeling Machine Learning Metrics 79

Occam's Razor

OCTOBER 23, 2006

The title of my presentation at the Washington DC Emetrics summit was: Creating a Data Driven Web Decision Making Culture – Lessons, Tips, Insights from a Practitioner. Start with measuring these Outcomes metrics (revenue, leads, profit margins, improved product mix, number of new customers etc). 6 Reporting is not Analysis.

Data-driven 117

Data-driven Metrics KPI Reporting 117