AWS Big Data

APRIL 3, 2024

As data is refreshed and updated, changes can happen through upstream processes that put it at risk of not maintaining the intended quality. Synthea is a synthetic patient generator that creates realistic patient data and associated medical records that can be used for testing healthcare software applications.

Data Quality 88

Data Quality Visualization Metadata Metrics 88

CIO Business Intelligence

NOVEMBER 7, 2022

While we weren’t naïve to the risk of disruption to the business, the extent and magnitude was greater than we anticipated.” The auditors noted that rollout of “the first phases” of CLS was now expected that same year, and added recommendations on managing outsourcing risk to their earlier warnings. By March 2019, things were slipping.

Manufacturing 128

Manufacturing Cost-Benefit Sales Consulting 128

AWS Big Data

APRIL 19, 2023

Instead, we can use automation to speed up the process of migration and reduce heavy lifting tasks, costs, and risks. sample_data/us_current.csv s3://$s3_bucket_name/covid-19-testing-data/base/source_us_current/; Copy states_current.csv : aws s3 cp./sample_data/states_current.csv sample_oozie_job_name/step1/step1.json

Metadata 77

Metadata Testing Data Lake Consulting 77

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

IBM Big Data Hub

JULY 19, 2023

Code creation: Code co-pilot, code conversion, create technical documentation, test cases and more. Supply Chain: Demand forecasting, supply chain optimization, risk assessment and mitigation. Once fine tuned, the deployed model was used to inference on a test data to create the AE narratives (see Figure 2 for a sample).

Consulting 64

Consulting Machine Learning Manufacturing Optimization 64

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

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

datapine

MAY 9, 2019

The fact is, without business intelligence, you risk the very real possibility of drowning in data. We have already entered the Zettabyte era, also mentioned as one of our tech buzzwords for 2019, and, for scale, in 2012, the entire Internet only contained ½ of one zettabyte in data. They prevent you from drowning in data.

Business Intelligence 270

Business Intelligence Dashboards Data Warehouse Sales 270

Cloudera

AUGUST 6, 2018

Fox Foundation is testing a watch-type wearable device in Australia to continuously monitor the symptoms of patients with Parkinson’s disease. In 2012 , only 25 of the region’s 48 countries had conducted at least two surveys over the past decade to track poverty. Whether we like it or not, this Internet of Things is the new reality.

Machine Learning 49

Machine Learning Internet of Things Cost-Benefit Data-driven 49

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 DG emerges for the big data side of the world, e.g., the Alation launch in 2012. data to train and test models poses new challenges: The need for reproducibility in analytics workflows becomes more acute.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

CIO Business Intelligence

APRIL 15, 2022

MIT Technology Review has chronicled a number of failures, most of which stem from errors in the way the tools were trained or tested. The patients who were lying down were much more likely to be seriously ill, so the algorithm learned to identify COVID risk based on the position of the person in the scan. In a statement on Oct.

Analytics 143

Analytics Machine Learning Insurance Testing 143

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. . In his 20 years’ experience in IT, Verma has led work on security, risk compliance, IoT, RPA, cloud, and business continuity planning. He will be based in Gurugram.

Internet Publishing and Broadcasting 98

Internet Publishing and Broadcasting Digital Transformation Insurance Recreation/Entertainment 98

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

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. What you see is for 2012.

Advertising 136

Advertising Marketing Strategy Insurance 136

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

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. Tools like GraphiQL and GraphQL Playground provide powerful, in-browser, integrated development environments (IDEs) for exploring and testing GraphQL APIs.

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. Have you run any A/B tests yet or written a one-pager describing a Minimum Viable Product?”.

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

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

I’m here mostly to provide McLuhan quotes and test the patience of our copy editors with hella Californian colloquialisms. In the third survey, we tried to quantify the risks encountered by enterprise organizations as they progress through the steps of that journey. Plus blatant overuse of intertextual parataxis. Or something.

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.

Machine Learning 238

Machine Learning Technology Deep Learning Data Science 238

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. Tara , for instance, is a “top OFAC / AML expert who is laser-focused on keeping your transactions risk-free.” 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

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

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