O'Reilly on Data

DECEMBER 12, 2019

In addition to newer innovations, the practice borrows from model risk management, traditional model diagnostics, and software testing. Because ML models can react in very surprising ways to data they’ve never seen before, it’s safest to test all of your ML models with sensitivity analysis. [9] That’s where model debugging comes in.

Machine Learning 191

Machine Learning Modeling Testing Risk Management 191

CIO Business Intelligence

MAY 4, 2022

In fact, it has been available since 2013. Here’s some great news: that tool already exists. The invaluable tool you’re probably not maximizing . That’s a big problem, especially in today’s threat environment. . They wanted to understand why this was happening and what they could do differently. .

Measurement 89

Measurement Marketing Testing Visualization 89

IBM Big Data Hub

OCTOBER 16, 2023

Containers have increased in popularity and adoption ever since the release of Docker in 2013, an open-source platform for building, deploying and managing containerized applications. Containerization helps DevOps teams avoid the complications that arise when moving software from testing to production.

Data Processing 79

Data Processing Dashboards Metrics Software 79

Occam's Razor

JANUARY 31, 2017

Ten years, and the 944,357 words, are proof that I love purposeful data, collecting it, pouring smart strategies into analyzing it, and using the insights identified to transform organizations. In the quest for that last important bit, I am insanely obsessive about 1. simplification and 2. pressing the right emotional buttons. That's it.

Visualization 148

Visualization IT Strategy Key Performance Indicator 148

datapine

APRIL 14, 2022

In 2017 the company wanted to take its shopping experience one step further by creating an augmented reality app that allowed users to test a product without having to leave their homes. What’s the motive? The line is moving much quicker than expected… what gives? You shrug it off, drive up to the window, and place your order.

Big Data 244

Big Data Recreation/Entertainment Analytics Data-driven 244

Smart Data Collective

SEPTEMBER 4, 2019

Maternal mortality rates in the United States jumped over 25% between 2000 and 2013. Big data is also being fed into databases from social media, blood tests, doctor visits, email, forums and a variety of other mediums. Understaffed hospitals and medical errors are causing most of the deaths.

Big Data 76

Big Data Risk Testing Technology 76

DMBS2

JUNE 25, 2018

Let me start by saying: Most fundamentally, the Carpenter decision was based on and implicitly reaffirms the Katz test.* The Katz test basically says that that an individual’s right to privacy is whatever society regards as a reasonable expectation of privacy at that time. **The Disagreement with the Katz test.

Testing 61

Testing IT 61

Sisense

APRIL 2, 2019

With DevOps aiming for greater efficiencies between software development and IT teams, it was clear that automated processes needed to be put in place to build, test, and release software faster and more reliably. What is DevOps? Is it technology? Is it a process? No, DevOps is much more than that. Collaboration & Trust.

Software 80

Software Testing Enterprise IT 80

CIO Business Intelligence

NOVEMBER 7, 2022

Panorama Consulting Solutions, which regularly surveys businesses on the outcomes of their ERP projects, shows in its 2022 report that 81% of projects met ROI expectations a year or more after go-live. It had to buy in fruit from other suppliers to meet its delivery commitments, taking a hit to margins. million over the following nine months.

Manufacturing 128

Manufacturing Cost-Benefit Sales Consulting 128

Domino Data Lab

DECEMBER 1, 2019

Step 4: Generate the test, train and noisy MNIST data sets. Generate the train and test sets (x_train, _), (x_test, _) = mnist.load_data() x_train = x_train.astype('float32') / 255. Generate the train and test sets (x_train, _), (x_test, _) = mnist.load_data() x_train = x_train.astype('float32') / 255. increase in the error.

Modeling 77

Modeling Machine Learning Deep Learning Testing 77

BizAcuity

DECEMBER 31, 2019

With the limited time F1 drivers have to test these days, rookies have to learn things very quickly – and he has done it very well. I grew up on St. The Rays have not named a starter. Unless you think it’s a longtime guy. It’s a great accomplishment in his first really full year in the majors. But so what, right?

Reporting 52

Reporting Testing Modeling IT 52

Howard Dresner

FEBRUARY 11, 2014

Collaboration BI At one of my weekly #BIWisdom tweetchats this month, collaboration, social media and text analytics turned up in a discussion about 2013 BI predictions that didn’t pan out. Vendors need to automate and decrease that effort.” • “I tested a social analytics tool; I was less than impressed.

Analytics 45

Analytics Business Intelligence Data Processing Marketing 45

bridgei2i

JULY 28, 2020

It is my immense pleasure to introduce you all to our guest today Ria Persad, she’s named as international woman of the year by Renewable Energy World in power engineering in 2013 and the lifetime achievement leader by Platts Global Energy awards in 2014. This is a definitive guide for making AI real. Anushruti: Wonderful.

Enterprise 98

Enterprise Digital Transformation Insurance B2B 98

Insight

MARCH 12, 2020

In 2013, Robert Galbraith?—?an an aspiring author?—?finished finished his first novel, Cuckoo’s Calling. It had all the trappings of a great story: a suspicious death, a private investigator haunted by his past, intrigue, pace, and misdirection. often without even looking at it. often without even looking at it. features) and metadata (i.e.

Modeling 59

Modeling Metadata Publishing Sales 59

DataKitchen

DECEMBER 30, 2020

In June of 2020, Database Trends & Applications featured DataKitchen’s end-to-end DataOps platform for its ability to coordinate data teams, tools, and environments in the entire data analytics organization with features such as meta-orchestration , automated testing and monitoring , and continuous deployment : DataKitchen [link].

Testing 241

Testing Big Data Statistics Manufacturing 241

Cloudera

AUGUST 6, 2018

For example, Crisis Text Line , which provides online support to people in crisis, received a total of 8 m illion text messages in the first two years of its existence between 2013 and 2015. Fox Foundation is testing a watch-type wearable device in Australia to continuously monitor the symptoms of patients with Parkinson’s disease.

Machine Learning 49

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

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. Collaborate how?”

Business Intelligence 60

Business Intelligence Finance Risk Data Processing 60

The Data Visualisation Catalogue

MARCH 18, 2019

Here, 3D Treemaps were tested for visualising the classificatory distribution of patent collections in the International Patent Classification (IPC) system. Schumann Rendering of Complex 3D Treemaps (GRAPP 2013). With this 3D Treemap, there doesn’t seem to be any nesting of subcategories in the design there. Luboschnik, H.

Visualization 46

Visualization Interactive Software Experimentation 46

AWS Big Data

NOVEMBER 14, 2023

Wallapop’s initial data architecture platform Wallapop is a Spanish ecommerce marketplace company focused on second-hand items, founded in 2013. Since its creation in 2013, it has reached more than 40 million downloads and more than 700 million products have been listed. The marketplace can be accessed via mobile app or website.

Data Warehouse 60

Data Warehouse Analytics Testing Cost-Benefit 60

CIO Business Intelligence

FEBRUARY 10, 2023

But for two years, we were testing limits within the public cloud.” Randich, who came to FINRA.org in 2013 after stints as co-CIO of Citigroup and former CIO of Nasdaq, is no stranger to the public cloud. We spent about a year and a half going through several bottlenecks, taking them out one at a time with Amazon engineers.

Unstructured Data 105

Unstructured Data Data Lake Machine Learning Enterprise 105

Sisense

MAY 26, 2020

While training a model for NLP, words not present in the training data commonly appear in the test data. Because of this, predictions made using test data may not be correct. Using the semantic meaning of words it already knows as a base, the model can understand the meanings of words it doesn’t know that appear in test data.

Unstructured Data 98

Unstructured Data Big Data Testing Machine Learning 98

CIO Business Intelligence

APRIL 4, 2024

Delete old data I lived in Hong Kong 2008-2013 and one of my most pleasurable weekends was a trip to see an incredible band at the MGM hotel in Macau. Firstly, it tests your ability to destroy data. Take inventory of what data you do hold Do you know what information you currently hold? Where it is held? Is yours readable?

Cost-Benefit 79

Cost-Benefit Data Governance Testing Modeling 79

IBM Big Data Hub

FEBRUARY 26, 2024

The financial services industry has been in the process of modernizing its data governance for more than a decade. But as we inch closer to global economic downturn, the need for top-notch governance has become increasingly urgent. Download the Gartner® Market Guide for Active Metadata Management 1. How will one decision affect customers?

Cost-Benefit 100

Cost-Benefit Metadata Data Governance Reporting 100

The Unofficial Google Data Science Blog

APRIL 23, 2024

by CHRIS HAULK It is sometimes useful to think of a large-scale online system ( LSOS ) as an abstract system with parameters $X$ affecting responses $Y$. Here, $X$ is a vector of tuning parameters that control the system's operating characteristics (e.g. the fraction of video recommendations resulted in positive user experiences).

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

AWS Big Data

MARCH 13, 2024

Ray cluster for ingestion and creating vector embeddings In our testing, we found that the GPUs make the biggest impact to performance when creating the embeddings. He entered the big data space in 2013 and continues to explore that area. This is where the Retrieval Augmented Generation (RAG) technique comes in.

Data Processing 110

Data Processing Dashboards Machine Learning Management 110

AWS Big Data

FEBRUARY 1, 2024

Data collected after 2013 is stored in WARC format and includes corresponding metadata (WAT) and text extraction data (WET). This is where model fine-tuning can help. Before you can fine-tune a model, you need to find a task-specific dataset. One dataset that is commonly used is the Common Crawl dataset. It is continuously updated.

Metadata 96

Metadata Modeling Data Processing Unstructured Data 96

IBM Big Data Hub

FEBRUARY 22, 2024

The DoD can lay a sturdy foundation to accomplish this by improving AI literacy and partnering with trusted organizations to develop governance aligned to its strategic goals and values. AI literacy is a must-have for security It’s important that personnel know how to deploy AI to improve organizational efficiencies.

Metadata 101

Metadata Measurement Risk Modeling 101

Insight

MAY 20, 2020

Spark is not always the right tool to use Spark is not magic, and using it will not automatically speed up data processing. In fact, in many cases, adding Spark will slow your processing, not to mention eat up a lot of resources. That is because there’s a lot of overhead in running Spark. all potentially customized to fit your needs.

Data Warehouse 106

Data Warehouse Optimization Interactive Cost-Benefit 106

Domino Data Lab

APRIL 21, 2021

The dataset contains transactions made by European credit card holders in September 2013, and has been anonymized – Features V1, V2, …, V28 are results from applying PCA on the raw data. The drawbacks are that rule-based detection is computationally intensive and is usually implemented as batch (or offline) scoring.

Statistics 69

Statistics Machine Learning Modeling Metrics 69

AWS Big Data

NOVEMBER 29, 2023

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

Data Warehouse 100

Data Warehouse Data Lake Analytics Machine Learning 100

The Unofficial Google Data Science Blog

NOVEMBER 4, 2015

In the examples above, we might use our estimates to choose ads, decide whether to show a user images, or figure out which videos to recommend. These decisions are often business-critical, so it is essential for data scientists to understand and improve the regressions that inform them. The size and importance of these systems makes this hard.

KDD 40

KDD Testing Machine Learning Modeling 40

Occam's Razor

DECEMBER 3, 2012

It is not just what you do to attract traffic (what most people think of as marketing and advertising), but also what types of experiences you create (something people rarely think is marketing) and how good you are at delivering for where you should be in 2013 rather than 2009 (only the rarest of marketers think with this lens on).

Marketing 147

Marketing Advertising Strategy Optimization 147

BizAcuity

MAY 10, 2022

History and innovations in recent times. Cloud technology and innovation drives data-driven decision making culture in any organization. It is the epitome of modern technology right now with multi-dimensional innovations shaping every layer. The cloud market is well on track to reach the expected $495 billion dollar mark by the end of 2022.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

Smart Data Collective

MARCH 22, 2019

By 2020, the robotics technology market is expected to reach almost $83 bn, according to the Global Robotics Technology Market 2013-2020. Test the suggestions in a single department and scale the implemented technologies factory-wide, if successful. As a comparison, the 2015 expenditure of robotics was only $71 bn. Conclusion.

Manufacturing 47

Manufacturing Cost-Benefit Enterprise Technology 47

Occam's Razor

FEBRUARY 3, 2014

According to Nielsen, YouTube reaches more US adults ages 18-34 than any cable network as of mid-2013. As of March 2013, one billion, (B!), One more thing to ponder… One hundred hours of video is uploaded into YouTube every single minute, as of May 2013. YouTube Marketing and Analytics Framework for Success.

Marketing 149

Marketing Analytics Advertising Measurement 149

Occam's Razor

DECEMBER 9, 2013

One that reflects the customer expectations of 2013. Or Ford (it is amazing that in 2013, for such an expensive product, it looks so… 2005). Business results suffer. There is something in humans that makes us want to do the hard things, to shoot for the most complex right away, to want to be challenged to infinity. Beat Motrin.

Marketing 165

Marketing Analytics Key Performance Indicator Optimization 165

Edwin Chen

AUGUST 14, 2014

How can we understand causal lifts in the absence of an A/B test? Assume that it's impossible to run an A/B test now that the feature has been launched.) For simplicity, let's assume that the badge was given to all users who received at least 5000 upvotes in 2013. Suddenly, one of your teammates drops by your desk.

Modeling 75

Modeling Measurement Sales Testing 75