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] 9] See: Teach/Me Data Analysis. [10]

Machine Learning 276

Machine Learning Modeling Testing Risk Management 276

Sisense

JANUARY 1, 2020

We’ve collected the biggest posts of 2019 to give you a look at where the industry has been and where it’s going to give you the can’t-miss perspectives and how-to’s you need to start 2020 off strong. Only by combining our different skills can we build things that stand the test of time and make the world a better place. ?Sisense

Analytics 98

Analytics Digital Transformation Data Warehouse Dashboards 98

O'Reilly on Data

MAY 21, 2019

Sometime in Q3/Q4 of 2019, specialized hardware for training deep learning models will become available. A catalog or a database that lists models, including when they were tested, trained, and deployed. In particular, auditing and testing machine learning systems will rely on many of the tools I’ve described above.

Machine Learning 279

Machine Learning Technology Deep Learning Data Science 279

CIO Business Intelligence

FEBRUARY 26, 2025

Opkey, a startup with roots in ERP test automation, today unveiled its agentic AI-powered ERP Lifecycle Optimization Platform, saying it will simplify ERP management, reduce costs by up to 50%, and reduce testing time by as much as 85%. The problem is how you are implementing it, how you are testing it, how you are supporting it.

Optimization 64

Optimization Testing Manufacturing Finance 64

Cloudera

MARCH 13, 2019

T-Mobile Austria – Uses HDP to improve on both the network footprint and quality, ranking them first in the Connect Test by P3 Communications. Stay tuned for March 19, 2019 as the winners are unveiled at the Luminaries dinner in Barcelona. The post Introducing the 2019 Data Heroes – EMEA! appeared first on Cloudera Blog.

Data Architecture 69

Data Architecture Deep Learning Machine Learning Big Data 69

DataRobot

MARCH 26, 2019

DataRobot was proud to be a sponsor of the 2019 Queen City Hackathon in Charlotte, North Carolina. Although DataRobot did not officially compete in the hackathon, we had the opportunity to do a test-run of the DataRobot platform against the dataset used in the hackathon.

Data Science 65

Data Science Testing 65

Smart Data Collective

SEPTEMBER 30, 2022

In 2018-2019, budding blockchain-based advertising projects provided the first opportunity to buy clean and secure traffic, enriched with genuine data about ad campaign performance. In 2019, this environment evolved, multiplying the number of blockchain marketing startups from 22 (2017) to 290 (2019) , which is more than 13 times in a year.

Advertising 145

Advertising Marketing Technology Uncertainty 145

IBM Big Data Hub

MARCH 26, 2019

at Think 2019, revealing a host of new capabilities to clients and partners in attendance. Now, after beta testing with more than 25 customers and partners, it is available to the public. IBM announced Informix V14.10

Enterprise 96

Enterprise Data Processing Testing IT 96

Smart Data Collective

OCTOBER 15, 2020

million on such efforts in 2019. They can check their LMS data and observe course progression, test results, completion rates, and even feedback to see how well employees respond to the various programs. Another pitfall that can be avoided is using standardized tests to readily judge how well learners have performed in the course.

Enterprise 142

Enterprise Testing Interactive Management 142

datapine

SEPTEMBER 16, 2022

Your Chance: Want to test a powerful data visualization software? Originally published in 2016, it has a second edition that was published in 2019 that includes a rewritten chapter on qualitative data as well as 9 new chart types and shortcuts on Excel. Be aware that there is a second edition to this book published in 2019.

Visualization 304

Visualization Dashboards Data-driven Statistics 304

DataKitchen

OCTOBER 5, 2022

A 2019 DataKitchen/Eckerson survey found that 79% of companies have more than three data-related errors in their pipelines per month. Bad data reaches the customer because companies haven’t invested enough, or at all, in testing, automation, and monitoring. Crisis happens, errors are inevitable.

Testing 169

Testing Risk Data Processing Statistics 169

datapine

APRIL 8, 2020

Your Chance: Want to test a SQL dashboard software completely for free? Those are the most common types of Joins you will probably encounter during your work with a SQL server dashboard tool, but a visual representation of how they behave might give you a clearer picture: Your Chance: Want to test a SQL dashboard software completely for free?

Dashboards 209

Dashboards Software Visualization Sales 209

CIO Business Intelligence

AUGUST 23, 2024

In 2019, CSU partnered with INE Security to integrate the Junior Penetration Tester (eJPT) certification into its curriculum. The Bureau of Labor Statistics projects a 31% growth in employment for information security analysts from 2019 to 2029, significantly faster than the average for all occupations.

Testing 111

Testing Statistics Risk Data-driven 111

Domino Data Lab

JUNE 13, 2019

Recently, Chhavi Yadav (NYU) and Leon Bottou (Facebook AI Research and NYU) indicated in their paper, “ Cold Case: The Lost MNIST Digits ”, how they reconstructed the MNIST (Modified National Institute of Standards and Technology) dataset and added 50,000 samples to the test set for a total of 60,000 samples. Did they overfit the test set?

Testing 83

Testing Data Science Experimentation Metadata 83

CIO Business Intelligence

JANUARY 24, 2025

The scope of its efforts so far is demonstrated by its shift into lower-carbon businesses, power trading, and convenience stores, which represented just 3% of its investment in 2019 but 23% in 2023. And it uses AI to automate code testing and other aspects of the digital development lifecycle.

Digital Transformation 59

Digital Transformation B2B Testing Experimentation 59

Smart Data Collective

MARCH 23, 2020

According to the SensorTower statistics , in 2019, a simple arcade game Stack Ball reached 100 million installs and only continued to grow. In 2019, this number increased to 2.4 The number of downloads and purchases increases every minute. PC gaming isn’t going to give up its position either. In 2014, there were about 1.82

Big Data 130

Big Data Recreation/Entertainment Data mining Optimization 130

Smart Data Collective

SEPTEMBER 12, 2019

Consider implementing these advanced email marketing strategies with big data so that you can increase conversion rates in 2019. You can increase your conversion rate in 2019 when you start implementing customer segmentation. Use A/B email testing to experiment with your customer base so you can improve conversion rates in 2019.

Big Data 90

Big Data Marketing Data Strategy Strategy 90

Smart Data Collective

DECEMBER 11, 2020

Developers will still need to focus on carrying out extensive white box testing effectively and A/B testing where needed. While the fundamentals of software development will remain the same, the power of the cloud remains transformative.

Data-driven 131

Data-driven Software Big Data Testing 131

CIO Business Intelligence

MARCH 15, 2022

Synthetic data can also be a vital tool for enterprise AI efforts when available data doesn’t meet business needs or could create privacy issues if used to train machine learning models, test software, or the like. For software testing: Using real data to test new software can create privacy and security problems.

Strategy 145

Strategy Testing Sales Modeling 145

DataKitchen

AUGUST 24, 2023

Since the first edition of the DataOps Cookbook in 2019, we have talked with thousands of companies about their struggles to deliver data-driven insight to their customers. In many ways, they all have the same problems. They have built data and analytic systems with great hope of success.

Data-driven 130

Data-driven Forecasting Metrics Dashboards 130

Smart Data Collective

OCTOBER 2, 2019

According to a recent Adobe report , marketers have identified data-driven marketing as the most important business opportunity for 2019. Conduct A/B Tests for Conversion Rate Optimization. A/B testing is a technique that most expert marketers use to gain insights into what elements of their websites or ads work best.

Data-driven 110

Data-driven Marketing Testing Optimization 110

CIO Business Intelligence

JULY 5, 2022

Prescriptive analytics is the application of testing and other techniques to recommend specific solutions that will deliver desired business outcomes. Optimization: Once trends have been identified and predictions made, simulation techniques can be used to test best-case scenarios. Prescriptive analytics: What do we need to do?

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

Smart Data Collective

SEPTEMBER 7, 2021

Retailers can conduct A/B testing to find out which prices work the best. This global coffee brand has increased its revenue by 26% from 2016 to 2019. Further, they can analyze the sentiment of discussion around an item. Such predictive analytics can help to define what products will spike the biggest interest of the audience.

Big Data 145

Big Data Technology Predictive Analytics Cost-Benefit 145

Smart Data Collective

APRIL 13, 2021

After a marginal increase in 2015, another steep rise happened in 2016 through 2017 before the volume decreased in 2018 and rose in 2019, and dropped again in 2020. One of the best solutions for data protection is advanced automated penetration testing. By 2012, there was a marginal increase, then the numbers rose steeply in 2014.

Testing 131

Testing Behavioral Analytics Data-driven Big Data 131

Smart Data Collective

OCTOBER 13, 2021

Do an A/B testing and find out. According to Mordor Intelligence , the AI market in the sector will grow from $7.27B in 2019 to over $35.4B There are, however, applications that are very popular and sell multiple solutions to the same audience. What product generates more money? Which solution is better? to $500B, globally.

Machine Learning 137

Machine Learning Optimization Software Modeling 137

DataKitchen

OCTOBER 5, 2022

A 2019 DataKitchen/Eckerson survey found that 79% of companies have more than three data-related errors in their pipelines per month. Bad data reaches the customer because companies haven’t invested enough, or at all, in testing, automation, and monitoring. Crisis happens, errors are inevitable.

Testing 130

Testing Risk Data Processing Statistics 130

Smart Data Collective

SEPTEMBER 22, 2021

The number of data breaches in the first half of 2020 is more than double the number of breaches in the first half of 2019. In 2019, the number of people affected by cyber fraud in the U.S. According to a report, 88% of organizations globally have been subjected to experience the threats of spear-phishing in 2019.

Statistics 133

Statistics Risk Measurement Software 133

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. But according to the UK’s Turing Institute, a national center for data science and AI, the predictive tools made little to no difference. In a statement on Oct. In a statement on Oct.

Analytics 145

Analytics Machine Learning Insurance Testing 145

Smart Data Collective

JANUARY 18, 2021

This was over a 50% increase from 2019. Simplify running and testing new applications. It has only been over the last year or so that they have talked more extensively about specific projects where Docker can be incredibly useful. The market for artificial intelligence applications around the world was estimated to be worth $62.3

Technology 128

Technology Machine Learning Software Marketing 128

CIO Business Intelligence

MAY 18, 2023

For understanding teams “CTOs and CIOs who work for organizations that are struggling to deliver value sustainably will greatly benefit from reading Team Topologies: Organizing Business and Technology Teams for Fast Flow (IT Revolution Press, 2019) by Manuel Pais and Matt Skelton,” says Peter Kreslins Jr., CTO and co-founder of Digibee.

IT 130

IT Recreation/Entertainment Software Technology 130

Business Over Broadway

JULY 29, 2020

Kaggle recently conducted a worldwide survey of nearly 20,000 data professionals (see: 2019 Kaggle ML and Data Science Survey The survey asked a variety of questions, including the tools used to analyze data. These tools allow you to develop and test your analytics without sharing it with others (until you are satisfied with it).

Statistics 92

Statistics Data Science Business Intelligence Software 92

Dataiku

MAY 20, 2020

Remote work is the ultimate litmus test of the data organization’s robustness. According to the 2019 State of Remote Work Survey , 99% of respondents said they would like to work remotely, at least some of the time, for the rest of their career. The Challenges of Remote Data Science.

Data Science 105

Data Science IT Machine Learning Testing 105

DataRobot

NOVEMBER 12, 2021

Although teams are starting to adopt third-party tools for deployment, 46 percent of survey respondents are not using a market-tested tool for deploying AI. Don’t Reinvent the Wheel: Adopt Tested AI Methods. In 2019, Beacon Street Services needed new data models to enable its marketing team to run more targeted and effective campaigns.

Cost-Benefit 98

Cost-Benefit Machine Learning Sales ROI 98

CIO Business Intelligence

OCTOBER 18, 2023

For instance, the company completed its conversion to a 100% Agile company in 2019, an achievement that reinforced its commitment to clients. The context tests us and it’s necessary to reinvent ourselves every day.”

Insurance 128

Insurance Digital Transformation Interactive Sales 128

CIO Business Intelligence

OCTOBER 20, 2023

Allstate began moving to the cloud in 2019 but paused during the pandemic and began the deployment of its curated multicloud blueprint upon Jeevanjee’s return to the company in 2022. “Getting a fast focus on that experience was extremely helpful in making the experience the best we possibly could.”

Digital Transformation 136

Digital Transformation Insurance Recreation/Entertainment Machine Learning 136

datapine

NOVEMBER 27, 2019

2019 was a particularly major year for the business intelligence industry. Another increasing factor in the future of business intelligence is testing AI in a duel. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

CIO Business Intelligence

NOVEMBER 1, 2023

So there will be some legacy in combination with new solutions that have been tested in other factories first.” The cloud journey completed Even before the system landscape is changed, Volvo Cars has made its cloud journey — one of the big, ongoing programs when Altehed started his role in 2019. “We

Software 130

Software Testing Digital Transformation Manufacturing 130