CIO Business Intelligence

JULY 31, 2023

As vendors add generative AI to their enterprise software offerings, and as employees test out the tech, CIOs must advise their colleagues on the pros and cons of gen AI’s use as well as the potential consequences of banning or limiting it. Some companies have lifted their bans and are allowing limited use of the technology; others have not.

Strategy 95

Strategy Risk Enterprise Risk Management 95

CIO Business Intelligence

OCTOBER 18, 2023

Balancing risks, rewards The rate of pilot testing and POCs — this early in the game — is quite high, particularly for a rapidly advancing technology deemed by Elon Musk and others as potentially “civilization” destroying.

Risk 133

Risk Manufacturing Enterprise Technology 133

Occam's Razor

MARCH 23, 2021

The other dimension to consider is most Analtyics teams kick into gear after the campaign is concluded, after the customer interaction has taken place in the call center, and after the funds budgeted have already been spent. The first component is a gloriously scaled global creative pre-testing program. Matched market tests.

Analytics 131

Analytics Scorecard Strategy Testing 131

DataRobot Blog

JANUARY 10, 2023

ML model builders spend a ton of time running multiple experiments in a data science notebook environment before moving the well-tested and robust models from those experiments to a secure, production-grade environment for general consumption. Capabilities Beyond Classic Jupyter for End-to-end Experimentation. Auto-scale compute.

Experimentation 52

Experimentation Machine Learning Data Science Modeling 52

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

DataRobot

APRIL 19, 2021

Data scientists also need to understand how the business operates, which requires communication and presentation skills. In the first experiment, study participants were presented with a dataset, a machine learning model that had been trained using that dataset, and an interpretability tool. Humans and AI Best Practices.

Machine Learning 52

Machine Learning Visualization Data-driven Data Science 52

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

CIO Business Intelligence

JUNE 27, 2022

David Cramer: I love the open source community so I would build a lot of things in open source to interact with my peers. Tyson: You mentioned in this presentation (something I’d encourage anyone interested in CI/CD to watch) that you don’t have any human QA agents at Sentry. We rely heavily on automated testing.

Software 98

Software Experimentation Testing Marketing 98

Domino Data Lab

AUGUST 5, 2019

Chris Wiggins , Chief Data Scientist at The New York Times as well as a professor at Columbia, recently presented the seminar “What should future statisticians, CEOs, and senators know about the history and ethics of data?” regulators and Volkswagen customers by implementing software specifically designed to cheat emissions tests.”.

Data Science 93

Data Science Data-driven Modeling Machine Learning 93

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. Daily Interactions. This presents a huge time and energy saver for the analytics teams at large! Simplicity.

Cost-Benefit 52

Cost-Benefit Data Quality Manufacturing Testing 52

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. We can also check for missing values, although it appears that none are present. x)), pain_df).

Metrics 59

Metrics Data Science Knowledge Discovery Measurement 59

Ontotext

APRIL 3, 2024

In this post we present you with insight gathered at the Knowledge Graph Forum during the panel on Financial Services. Nimit Mehta: I think that 2024 is going to be a buckle-down year, but, at the same time, we’ll see a rapid explosion of experimentation. It’s open. It’s unsafe.” Especially now. Maybe later.

Technology 59

Technology Risk Digital Transformation Measurement 59

Domino Data Lab

MAY 8, 2019

They also require advanced skills in statistics, experimental design, causal inference, and so on – more than most data science teams will have. Agile was originally about iterating fast on a code base and its unit tests, then getting results in front of stakeholders. Stanford professor Chris Ré presented “ Software 2.0

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Occam's Razor

MAY 15, 2006

Add to this the fact that now there is a massive proliferation of tools that will instantly create reports presenting data in every conceivable slice, graph, table, pivot or dump that you can imagine the challenge. Visitor interaction can lead to actionable insights faster while having a richer impact on your decision making.

Metrics 100

Metrics Experimentation Testing Interactive 100

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

datapine

MAY 20, 2020

A CRM dashboard is a centralized hub of information that presents customer relationship management data in a way that is dynamic, interactive, and offers access to a wealth of insights that can improve your consumer-facing strategies and communications. Test, tweak, evolve. What Is A CRM Dashboard?

Dashboards 265

Dashboards Reporting KPI Visualization 265

The Unofficial Google Data Science Blog

DECEMBER 14, 2021

To that end, we present a vignette that is lighthearted but sufficiently realistic as to allow for the requisite reasoning. Should we use a t-test or a sign test? to run a brief experiment to test the hypothesis. Vignette: Data Science at fluff.ai Royal Society 1922 ). How to compute confidence intervals?

Uncertainty 56

Uncertainty Statistics Measurement Cost-Benefit 56

O'Reilly on Data

JULY 25, 2023

Swift Papers felt like a well-scoped project to test how well AI handles a realistic yet manageable real-world programming task. I also installed the latest VS Code (Visual Studio Code) with GitHub Copilot and the experimental Copilot Chat plugins, but I ended up not using them much.

Consulting 246

Consulting Interactive Software IT 246

datapine

FEBRUARY 4, 2020

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. These data sets can be broken down on the specific week of interest, meaning you can interactively follow-up on what happened in week 11 in regards to week 10.

Reporting 280

Reporting Marketing Advertising Metrics 280

Occam's Razor

JUNE 6, 2007

Bonus: Interactive CD: Contains six podcasts, one video, two web analytics metrics definitions documents and five insightful powerpoint presentations. Experimentation & Testing (A/B, Multivariate, you name it). What ideas to test first on your site? Bonus: Interactive CD. Qualitative and quantitative.

Analytics 60

Analytics Metrics Marketing Dashboards 60

CIO Business Intelligence

APRIL 5, 2023

Midjourney, ChatGPT, Bing AI Chat, and other AI tools that make generative AI accessible have unleashed a flood of ideas, experimentation and creativity. Testing is another area that tends to get neglected, so automated unit test generation will help you get much broader test coverage.

Modeling 96

Modeling Testing Cost-Benefit Experimentation 96

Domino Data Lab

AUGUST 22, 2019

In the present chapter [excerpt], we cover code that will enable you to create your own word vectors as well as to provide them as an input into a deep learning model. Note: A test set of 19,500 such analogies was developed by Tomas Mikolov and his colleagues in their 2013 word2vec paper. Note that the final test word in Table 11.2—ma’am—is

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

Occam's Razor

AUGUST 12, 2013

Last Interaction/Last Click Attribution model. First Interaction/First Click Attribution Model. If you see a value greater than one, that channel has a propensity to be present earlier in the conversion cycle. Last Interaction/Last Click Attribution model. First Interaction/First Click Attribution Model.

Modeling 161

Modeling Optimization Marketing Interactive 161

Cloudera

JUNE 6, 2019

When a mix of batch, interactive, and data serving workloads are added to the mix, the problem becomes nearly intractable. when an admin uses the cluster creation wizard, CM presents two options: (1) create a traditional cluster, or (2) create a compute cluster. Beginning with CM 6.2, 3) By workload priority.

Metadata 85

Metadata Data Lake Optimization Strategy 85

Sisense

MAY 18, 2021

However, as Deven states, avoiding data insights and going with your gut is like choosing all the wrong answers on a test despite your professor giving you the right ones. When you discover data that means something, you need to be agile enough to make experimental changes.”. Data can’t help your marketing efforts if you won’t let it.

Marketing 52

Marketing Data Analytics Analytics Metrics 52

Occam's Razor

SEPTEMBER 15, 2014

Media-Mix Modeling/Experimentation. For the first couple of interactions, give her/him that data. In my case the interactive elements which are useful are clearly displayed above. Understand how many Active Users are interacting with your app. Media-Mix Modeling/Experimentation. Implement Cross-Device Tracking.

Metrics 141

Metrics Reporting Analytics Marketing 141

Occam's Razor

SEPTEMBER 13, 2016

Here is my slide the first time I presented the concept in a keynote… Cute, right? :). Hypothesis development and design of experimentation. If these 50 pass the sniff test, send the survey. Don't repeat things for years without constantly stress-testing for reality. Argumentation and logical thinking.

Modeling 127

Modeling Reporting Strategy Consulting 127

Occam's Razor

AUGUST 23, 2010

Why comes from lab usability studies , website surveys , "follow me home" exercises, experimentation & testing , and other such delightful endeavors. I know that you even realize Why is ever easier to accomplish (usability studies are economical, surveys and testing platforms start at the sweet price of free!).

Analytics 116

Analytics Cost-Benefit Testing Optimization 116

Occam's Razor

MARCH 23, 2010

For big success you'll need to have a Multiplicity strategy: So when you step back and realize at the minimum you'll also have to use one Voice of Customer tool (for qualitative analysis), one Experimentation tool and (if you want to be great) one Competitive Intelligence tool… do you still want to have two clickstream tools?

Analytics 118

Analytics Consulting Metrics Experimentation 118

datapine

JANUARY 31, 2022

Everything is being tested, and then the campaigns that succeed get more money put into them, while the others aren’t repeated. BI users analyze and present data in the form of dashboards and various types of reports to visualize complex information in an easier, more approachable way. What Are The Benefits of Business Intelligence?

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

CIO Business Intelligence

MAY 20, 2024

He tested this hypothesis by having some machines at the facility warm up and others not. This knowledge, generated through observation, reflection, study, and social interaction, led to a new companywide policy: “Let the grinder warm up for 15 minutes,” resulting in millions of dollars of extra profit at no additional cost.

Management 97

Management Interactive Measurement Marketing 97

CIO Business Intelligence

SEPTEMBER 27, 2023

By suggesting a number of use cases, we further encourage experimentation and creative application.” Fostering a culture of learning Skillsoft, a provider of education services and technology, has been leveraging AI for some time to deliver personalized, dynamic, and interactive learning experiences for users.

Strategy 123

Strategy Risk Data-driven Modeling 123

IBM Big Data Hub

SEPTEMBER 25, 2023

Presto is an open source distributed SQL query engine for data analytics and the data lakehouse, designed for running interactive analytic queries against datasets of all sizes, from gigabytes to petabytes. If the exploratory work needs to move on to testing and production, they can plan appropriately. What is Presto?

OLAP 91

OLAP Data Lake Data-driven Snapshot 91

Occam's Razor

NOVEMBER 2, 2015

Higher Order Bits: Human vs. Business, Success KPIs, S-T-D-C Framework, MoR Test. "So what if no one interacted with your Twitter feed, at least they saw it!" I believe the best way to measure success is to measure the above four metrics (actual interaction/action/outcome). It is pronounced the more test.

B2B 167

B2B Metrics Testing Recreation/Entertainment 167