datapine

MAY 9, 2019

By gaining the ability to understand which datasets are relevant to particular goals, strategies, and initiatives in your organization, you’ll be able to identify trends or patterns that will help you make significant improvements in a number of key areas within the organization. They prevent you from drowning in data. followed by 18 zeros.

Business Intelligence 270

Business Intelligence Dashboards Data Warehouse Sales 270

AWS Big Data

JUNE 29, 2023

Tracking such user queries as part of the centralized governance of the data warehouse helps stakeholders understand potential risks and take prompt action to mitigate them following the operational excellence pillar of the AWS Data Analytics Lens. Test the filter by selecting the actual log stream.

Data Warehouse 59

Data Warehouse Dashboards Testing Visualization 59

Howard Dresner

AUGUST 27, 2013

Before the perfect storm, our tweetchat tribe (comprised of customers, vendors and consultants/analysts) were of the opinion that the growing “app” mentality for “cool stuff” among consumers and the easy-to-consume info in mobile apps could end up increasing trust and thus lead to less testing and faster releases.

Business Intelligence 60

Business Intelligence Finance Risk Data Processing 60

CIO Business Intelligence

MARCH 22, 2022

He has assisted the top management in planning IT strategies and leveraging technologies for rationalizing manpower, enhancing organizational productivity, and improving the efficiency of operations. He brings expertise in developing IT strategy, digital transformation, AI engineering, process optimization and operations.

Internet Publishing and Broadcasting 98

Internet Publishing and Broadcasting Digital Transformation Insurance Recreation/Entertainment 98

Occam's Razor

OCTOBER 15, 2012

My goal is to get them excited about creating an amazing digital acquisition strategy that delivers noteworthy experiences through their owned digital platforms, and which ultimately delivers bigger profits (usually offline, but online as well). But they are just scratching the surface of what's possible.

Advertising 136

Advertising Marketing Strategy Insurance 136

O'Reilly on Data

SEPTEMBER 19, 2023

” There’s as much Keras, TensorFlow, and Torch today as there was Hadoop back in 2010-2012. You can see a simulation as a temporary, synthetic environment in which to test an idea. Millions of tests, across as many parameters as will fit on the hardware. “Here’s our risk model.

Machine Learning 247

Machine Learning Testing Modeling Cost-Benefit 247

Domino Data Lab

APRIL 3, 2019

Also, while surveying the literature two key drivers stood out: Risk management is the thin-edge-of-the-wedge ?for Given those two, plus SQL gaining eminence as a database strategy, a decidedly relational picture coalesced throughout the decade. Andrew Ng later described this strategy as the “Virtuous Cycle of AI” – a.k.a.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

The Unofficial Google Data Science Blog

JUNE 30, 2016

A naïve way to solve this problem would be to compare the proportion of buyers between the exposed and unexposed groups, using a simple test for equality of means. In fact, Hainmueller (2012) show that entropy balancing is equivalent to estimating the weights as a log-linear model of the covariate functions $c_j(X)$.

Statistics 44

Statistics Optimization Modeling Experimentation 44

The Unofficial Google Data Science Blog

APRIL 23, 2024

It is also a sound strategy when experimenting with several parameters at the same time. To find optimal values of two parameters experimentally, the obvious strategy would be to experiment with and update them in separate, sequential stages. (And sometimes even if it is not[1].) Why experiment with several parameters concurrently?

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

IBM Big Data Hub

MARCH 29, 2024

GraphQL GraphQL is a query language and API runtime that Facebook developed internally in 2012 before it became open source in 2015. As such, understanding the distinctions between the two is integral to any organization’s IT management strategy. GraphQL is defined by API schema written in the GraphQL schema definition language.

Interactive 80

Interactive Digital Transformation Management Optimization 80

Domino Data Lab

APRIL 21, 2021

Rules-based fraud detection (top) vs. classification decision tree-based detection (bottom): The risk scoring in the former model is calculated using policy-based, manually crafted rules and their corresponding weights. This is to prevent any information leakage into our test set. 2f%% of the test set." Feature Engineering.

Statistics 69

Statistics Machine Learning Modeling Metrics 69

Domino Data Lab

AUGUST 8, 2019

The probabilistic nature changes the risks and process required. We face problems—crises—regarding risks involved with data and machine learning in production. Some people are in fact trained to work with these kinds of risks. Then rethink your hiring strategies w.r.t. To wit: data science is a team sport. Or something.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Insight

DECEMBER 18, 2019

In my last post , we went back to the year 1943, tracking neural network research from the McCulloch & Pitts paper , “ A Logical Calculus of Ideas Immanent in Nervous Activity ” to 2012, when “ AlexNet ” became the first CNN architecture to win the ILSVRC. However, don’t train for too many epochs or you could be at risk of overfitting.

Optimization 85

Optimization Machine Learning Testing Visualization 85

Domino Data Lab

MARCH 3, 2019

I’m here mostly to provide McLuhan quotes and test the patience of our copy editors with hella Californian colloquialisms. That represents a significant shift in strategy and cloud providers stand to benefit. This contrast provides a good basis for drawing distinctions between the leaders and the laggards. Or something. Technologies.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

CIO Business Intelligence

FEBRUARY 3, 2023

IBM Cloud Pak for Business Automation , for example, provides a low-code studio for testing and developing automation strategies. Teams can iterate over the workflows and explore hypothetical strategies with the Processing Mining tools. AI tools provide optical character recognition for documents.

Data-driven 145

Data-driven Interactive Enterprise Statistics 145

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. In addition to the issues above, does the conclusion pass the smell test?

Experimentation 61

Experimentation Testing Statistics Metrics 61

datapine

MAY 17, 2021

Businesses can benefit from improved data driven decision making as well as enhanced business processes and models and share insights across departments more fluently while propelling intelligent business strategies. Your Chance: Want to test a professional data discovery tool for free? We offer a 14 day free trial.

Visualization 161

Visualization Data-driven Business Intelligence Metrics 161