CIO Business Intelligence

AUGUST 21, 2024

When multiple independent but interactive agents are combined, each capable of perceiving the environment and taking actions, you get a multiagent system. But multiagent AI systems are still in the experimental stages, or used in very limited ways. According to Gartner, an agent doesn’t have to be an AI model.

Risk 136

Risk Insurance Cost-Benefit Software 136

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

Data Science and Beyond

JULY 22, 2018

Two years later, I published a post on my then-favourite definition of data science , as the intersection between software engineering and statistics. Like other authors, they argue that causal inference has been neglected by traditional statistics and some scientific disciplines. In a recent article , Hernán et al.

Data Science 79

Data Science Machine Learning Statistics Predictive Modeling 79

The Unofficial Google Data Science Blog

APRIL 16, 2019

by MICHAEL FORTE Large-scale live experimentation is a big part of online product development. This means a small and growing product has to use experimentation differently and very carefully. This blog post is about experimentation in this regime. But these are not usually amenable to A/B experimentation.

Experimentation 68

Experimentation Sales Metrics Measurement 68

FineReport

DECEMBER 19, 2019

In addition, Jupyter Notebook is also an excellent interactive tool for data analysis and provides a convenient experimental platform for beginners. Pandas incorporates a large number of analysis function methods, as well as common statistical models and visualization processing. From Google. Data Analysis Libraries.

Knowledge Discovery 98

Knowledge Discovery Visualization Reporting Experimentation 98

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. That’s not really surprising, if your view of your scope is narrow… Your impact will be narrow as well.

Analytics 133

Analytics Scorecard Strategy Testing 133

IBM Big Data Hub

APRIL 18, 2024

LLMs like ChatGPT are trained on massive amounts of text data, allowing them to recognize patterns and statistical relationships within language. Also, its emotional intelligence allows it to adapt communication to be empathetic and supportive, creating a more positive interaction for the customer.

Cost-Benefit 89

Cost-Benefit Manufacturing Modeling Interactive 89

Corinium

APRIL 25, 2019

For example auto insurance companies offering to capture real-time driving statistics from policy-holders’ cars to encourage and reward safe driving. And it’s become a hyper-competitive business, so enhancing customer service through data is critical for maintaining customer loyalty.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

The Unofficial Google Data Science Blog

JANUARY 16, 2018

Experimentation on networks A/B testing is a standard method of measuring the effect of changes by randomizing samples into different treatment groups. However, this assumption no longer holds when samples interact with each other, such as in a network. This simulation is based on the actual user network of GCP.

Testing 58

Testing Experimentation Measurement Modeling 58

AWS Big Data

SEPTEMBER 13, 2024

Any code or connection interacts with the interface of the gateway only. We expect statistically equal distribution of jobs between the two clusters. Solution overview Martin Fowler describes a gateway as an object that encapsulates access to an external system or resource. A gateway acts as a single point to confront this resource.

Management 97

Management Snapshot Cost-Benefit Testing 97

Cloudera

NOVEMBER 25, 2020

Scale to provide 1,000s of researchers frictionless interaction with data. How can he make it easy to see statistics, and do calculations, on discovered commonalities, across structured and unstructured data? How can users drill down, in non-technical ways, to quickly interact with data that explains what correlations seem to matter?

Data Warehouse 59

Data Warehouse Unstructured Data Analytics Visualization 59

Insight

APRIL 28, 2020

How will they interact with product, engineering, sales, or marketing? you’re looking for a collaborator who can work and communicate well with you and your team, as well as anyone else that interacts with your team. What to evaluate: How will this person contribute to your culture? Will they be a strategic thought partner?

Data-driven 53

Data-driven Data Science Experimentation Measurement 53

The Unofficial Google Data Science Blog

MARCH 22, 2018

But what if users don't immediately uptake the new experimental version? Background At Google, experimentation is an invaluable tool for making decisions and inference about new products and features. by DANIEL PERCIVAL Randomized experiments are invaluable in making product decisions, including on mobile apps.

Experimentation 62

Experimentation Measurement Modeling Statistics 62

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.). We can group by study arm and calculate various statistics as mean and standard deviation. The analyses shown below are accessible in the NCA project on Domino’s trial site.

Metrics 59

Metrics Data Science Knowledge Discovery Measurement 59

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. Yet, this challenge is not insurmountable. for what is and isn’t possible) to address these challenges.

Management 110

Management Machine Learning Experimentation Metrics 110

Alation

SEPTEMBER 28, 2022

Daily Interactions. Technical environments and IDEs must be disposable so that experimental costs can be kept to a minimum. Quality must be monitored continuously to catch unexpected variation cases and produce statistics on its operation. It’s a Team Sport. Stakeholders must work collaboratively daily for the project.

Cost-Benefit 52

Cost-Benefit Data Quality Manufacturing Testing 52

The Unofficial Google Data Science Blog

JULY 31, 2016

To figure this out, let's consider an appropriate experimental design. In other words, the teacher is our second kind of unit, the unit of experimentation. This type of experimental design is known as a group-randomized or cluster-randomized trial. The second source of dependence comes from student interactions.

Experimentation 42

Experimentation Testing Measurement Metrics 42

Business Over Broadway

MAY 22, 2019

According to Gartner, companies need to adopt these practices: build culture of collaboration and experimentation; start with a 3-way partnership among executives leading digital initiative, line of business and IT. Also, loyalty leaders infuse analytics into CX programs, including machine learning, data science and data integration.

Machine Learning 40

Machine Learning Technology Digital Transformation Data Science 40

Ontotext

APRIL 3, 2024

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. These are not statistical inferences. So, I think natural language interactions and the capabilities to have AI assistants that will help you do your business or personal work will stay.

Technology 59

Technology Risk Digital Transformation Measurement 59

Occam's Razor

FEBRUARY 8, 2021

From observing behavior closely, and from my own experimentation and failure, I've noticed consistent patterns in what great employees do and great bosses do. They find the external author of the statistical algorithm I want them to use, and ask them for guidance. Caring touches all sorts of interactions you’ll have.

Strategy 134

Strategy Statistics Cost-Benefit Marketing 134

Occam's Razor

APRIL 8, 2013

Remember that the raw number is not the only important part, we would also measure statistical significance. It essentially allowed you to create a group of friends who could interact and share content, much as people do today with Google+, before such features were part of Facebook. The result? The graph is impressive, right?

Metrics 157

Metrics KPI Analytics Key Performance Indicator 157

Occam's Razor

SEPTEMBER 13, 2016

Hypothesis development and design of experimentation. Ok, maybe statistical modeling smells like an analytical skill. . + Pattern recognition and understanding trends. Argumentation and logical thinking. Ability to create insightful data visualizations. Strategic thinking skills. And, that is just a random list! You lose twice.

Modeling 128

Modeling Reporting Strategy Consulting 128

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. Use of influence functions goes back to the 1970s in robust statistics. Jupyter Book: Interactive books running in the cloud ” by Chris Holdgraf (2019-03-27).

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

The Unofficial Google Data Science Blog

OCTOBER 21, 2015

It is important to make clear distinctions among each of these, and to advance the state of knowledge through concerted observation, modeling and experimentation. These quasi-explanations usually involve large, real effects and interactions so complex that arguments based on them are often non-falsifiable.

Slice and Dice 45

Slice and Dice Experimentation Data-driven Data Science 45

Occam's Razor

MARCH 23, 2010

Part of it is fueled by a vocal minority genuinely upset that 10 years on we are still not a statistically powered bunch doing complicated analysis that is shifting paradigms. If you don't have a robust experimentation program in your company you are going to die. Part of it fueled by some Consultants. Likely not.

Analytics 119

Analytics Consulting Metrics Experimentation 119

Domino Data Lab

AUGUST 26, 2019

To support the iterative and experimental nature of industry work, Domino reached out to Addison-Wesley Professional (AWP) for appropriate permissions to excerpt the “Tuning Hyperparameters and Pipelines” from the book, Machine Learning with Python for Everyone by Mark E. Choice and Assessment of Statistical Predictions by Stone.

Testing 79

Testing Modeling Machine Learning Metrics 79

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). Bonus: Interactive CD. Immediately actionable web analytics (your biggest worries covered). Clicks and outcomes.

Analytics 60

Analytics Metrics Marketing Dashboards 60

CIO Business Intelligence

DECEMBER 6, 2023

Microsoft called the poll an error and promised to investigate, but it already seems to clearly breach several of the company’s own principles of responsible AI usage , such as inform people that they’re interacting with an AI system, and guidelines for human-AI interaction.

IT 133

IT Risk Management Interactive Risk 133

Domino Data Lab

AUGUST 22, 2019

Although it’s not perfect, [Note: These are statistical approximations, of course!] Instead, we recommend using the bokeh library to create a highly interactive—and actionable—plot, as with the code provided in Example 11.11. Interactive bokeh plot of two-dimensional word-vector data. Example 11.6 Example 11.11 y=subset_df.y,

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

Insight

MARCH 12, 2020

The most powerful approach for the first task is to use a ‘language model’ (LM), i.e. a statistical model of natural language. After some experimentation, I landed on a strategy I’ll call ‘warm encoding’: if greater than 1% of tags were in a particular class, I encoded the book as belonging to that class, non-exclusively.

Modeling 59

Modeling Metadata Publishing Sales 59

CIO Business Intelligence

JULY 6, 2023

After completing MTech from Indian Statistical Institute, I started my career at Cognizant. What do you do to foster a culture of innovation and experimentation in your employees? Only experimentation can help to improve this index. Every such interaction requires a different approach.

Digital Transformation 98

Digital Transformation Experimentation Recreation/Entertainment Technology 98

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. Data Exploration and Innovation: The flexibility of Presto has encouraged data exploration and experimentation at Uber.

OLAP 86

OLAP Data Lake Data-driven Snapshot 86