Insight

APRIL 16, 2019

While this model fuels many of today’s businesses on the internet, it comes with a significant tradeoff: an unprecedented amount of user data has been stock piled and is at risk of being exposed through security breaches. Unfortunately, the concerns over lax security practices have been vindicated far too often in recent years.

Machine Learning 68

Machine Learning Software Risk Reporting 68

CIO Business Intelligence

MARCH 22, 2022

At Fractal, Tiwari will be responsible for the company’s digital transformation and overseeing IT operations, cybersecurity, and risk management. . He will be based in Gurugram, reporting to CEO Pratik Pota, and will have responsibility for all the digital transformation initiatives at Jubilant FoodWorks.

Internet Publishing and Broadcasting 98

Internet Publishing and Broadcasting Digital Transformation Insurance Recreation/Entertainment 98

Occam's Razor

OCTOBER 15, 2012

The cost of failure in the offline world is so high that even when the cost of failure is low (online), they don't want to take the smallest risk. The data was collected in the first part of 2012, between January and May for the Barometer and between January and February for the Enumeration. The Analysis: Four Insightful Options.

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

CIO Business Intelligence

APRIL 15, 2022

According to CIO’s State of the CIO 2022 report, 35% of IT leaders say that data and business analytics will drive the most IT investment at their organization this year. MIT Technology Review has chronicled a number of failures, most of which stem from errors in the way the tools were trained or tested. 25 and Oct. The culprit?

Analytics 145

Analytics Machine Learning Insurance Testing 145

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 Not that I’m implying anything about current economic conditions vis-a-vis the timing of this report… #justsayin. DG emerges for the big data side of the world, e.g., the Alation launch in 2012. a second priority?at

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

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. At first glance, this approach to status reporting seems more straightforward, but HTTP status codes are often more useful to web users than to the APIs themselves, especially in the case of errors.

Interactive 80

Interactive Digital Transformation Management Optimization 80

The Unofficial Google Data Science Blog

APRIL 23, 2024

Multiparameter experiments, however, generate richer data than standard A/B tests, and automated t-tests alone are insufficient to analyze them well. Utility or risk for us is close to a step function: it is important to find some improvement, and less important to make that improvement as big as possible right away. den Hertog.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Domino Data Lab

APRIL 21, 2021

Auxiliary techniques like relying on card holders to report fraudulent transactions have unfortunately proven to be ineffective [1]. This is to prevent any information leakage into our test set. 2f%% of the test set." 2f%% of the test set." Fraudulent transactions are 0.17% of the test set. Model training.

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. Public Health Reports (2017-07-10). To wit: data science is a team sport. Or something.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

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. Structure of a geo experiment A typical geo experiment consists of two distinct time periods: pretest and test. After the test period finishes, the campaigns in the treatment group are reset to their original configurations.

Advertising 42

Advertising Testing Sales Statistics 42

Domino Data Lab

MARCH 3, 2019

We had big surprises at several turns and have subsequently published a series of reports. Let’s look through some of the insights gained from those reports. Seriously, this entire article merely skims the surface of those reports. Mature practices reported 86%, and within financial services the numbers were somewhat higher.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

O'Reilly on Data

MAY 21, 2019

Consider deep learning, a specific form of machine learning that resurfaced in 2011/2012 due to record-setting models in speech and computer vision. A catalog or a database that lists models, including when they were tested, trained, and deployed. There are real, not just theoretical, risks and considerations. Source: O'Reilly.

Machine Learning 238

Machine Learning Technology Deep Learning Data Science 238

CIO Business Intelligence

FEBRUARY 3, 2023

Major features: Open-source edition; tighter integration with AI for contextual and visual processing Major use cases: Supply chain management, financial transactions Fortra Automate The RPA tools from Fortra (formerly HelpSystems) tackle business tasks ranging from responding to inquiries to generating reports.

Data-driven 145

Data-driven Interactive Enterprise Statistics 145

datapine

DECEMBER 28, 2021

To make sure the reliability is high, there are various techniques to perform – the first of them being the control tests, which should have similar results when reproducing an experiment in similar conditions. Drinking tea increases diabetes by 50%, and baldness raises the cardiovascular disease risk up to 70%! They sure can.

Statistics 363

Statistics Advertising Visualization Data mining 363

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

Your Chance: Want to test a professional data discovery tool for free? Studies say that more data has been generated in the last two years than in the entire history before and that since 2012 the industry has created around 13 million jobs around the world. Your Chance: Want to test a professional data discovery tool for free?

Visualization 161

Visualization Data-driven Business Intelligence Metrics 161