Cloudera

SEPTEMBER 28, 2020

They have dev, test, and production clusters running critical workloads and want to upgrade their clusters to CDP Private Cloud Base. ACID transactions, ANSI 2016 SQL SupportMajor Performance improvements. Customer Environment: The customer has three environments: development, test, and production. Test and QA.

Testing 132

Testing Metadata Risk Data Science 132

CIO Business Intelligence

JULY 24, 2023

The transformation, which started in partnership with Microsoft in 2016, is also enabling LaLiga to expand its business by offering technology platforms and services to the sports and entertainment industry at large. It has also developed predictive models to detect trends, make predictions, and simulate results.

Broadcasting 98

Broadcasting Recreation/Entertainment Testing Machine Learning 98

CIO Business Intelligence

JUNE 28, 2023

Belcorp operates under a direct sales model in 14 countries. As Belcorp considered the difficulties it faced, the R&D division noted it could significantly expedite time-to-market and increase productivity in its product development process if it could shorten the timeframes of the experimental and testing phases in the R&D labs.

Digital Transformation 105

Digital Transformation Cost-Benefit Informatics Data mining 105

CIO Business Intelligence

MARCH 27, 2024

Prepare now for the quantum cryptography threat To counter the threat well ahead of time, NIST launched in 2016 an international call for algorithms that will protect data even once large quantum computers become available. After a long selection process, NIST announced its intention to standardize four of the PQC algorithms this summer.

Optimization 140

Optimization Machine Learning Consulting Testing 140

CIO Business Intelligence

OCTOBER 17, 2023

The answer lies in adopting a Zero Trust security framework, which is a security model that assumes no user or device should be automatically trusted based solely on their physical or network location. Department of Defense’s (DoD) Zero Trust reference architecture 2 and is thoroughly tested to pass its stringent requirements—before adoption.

Risk 130

Risk Enterprise Technology Testing 130

datapine

MAY 11, 2022

Therefore, the visualization of data is critical to the sustained success of your business and to help you yield the most possible value from this tried and tested means of analyzing and presenting vital information. The principles of color theory will have a notable impact on the overall success of your visualization model.

Visualization 252

Visualization Dashboards Key Performance Indicator Sales 252

CIO Business Intelligence

MARCH 7, 2024

Greg Beltzer has been beta testing key generative AI technologies for the past six months and is eager to capitalize on them when released this spring. That schema and structure existed in Salesforce, so we did not have to bolt onto some proprietary data model.

Enterprise 135

Enterprise Software Testing Interactive 135

Cloudera

OCTOBER 26, 2020

We are excited to announce PowerScale and ECS will be moving forward with Cloudera’s Quality Assurance Test Suite certification process on CDP – Private Cloud (PvC) Base edition. Complete integration testing. ACID transactions, ANSI 2016 SQL SupportMajor Performance improvements. Validation includes: Overall architecture.

Testing 87

Testing Unstructured Data Cost-Benefit Big Data 87

CIO Business Intelligence

JANUARY 23, 2023

As OpenAI’s exclusive cloud provider it will see additional revenue for its Azure services, as one of OpenAI’s biggest costs is providing the computing capacity to train and run its AI models. That app, Microsoft Designer , is currently in closed beta test. The deal, announced by OpenAI and Microsoft on Jan.

Enterprise 131

Enterprise Deep Learning Recreation/Entertainment Interactive 131

CIO Business Intelligence

APRIL 9, 2024

Previously head of cybersecurity at Ingersoll-Rand, Melby started developing neural networks and machine learning models more than a decade ago. He brought that experience with him to Dairyland in 2016 when he was appointed as the cooperative’s first CIO to oversee 24 power grids in Wisconsin, Iowa, Illinois, and Minnesota.

Digital Transformation 105

Digital Transformation Machine Learning Data Lake Software 105

CIO Business Intelligence

FEBRUARY 29, 2024

You’d be forgiven if you’re wondering whether you’ve stumbled on an article from 2016 , but, in fact, the practice of launching an offshore IT center wholly owned and operated by the enterprise it serves is back in vogue with notable twists. No model is failproof,” says Agarwal. Captive centers are on the rise.

Cost-Benefit 116

Cost-Benefit Risk Modeling Enterprise 116

CIO Business Intelligence

AUGUST 24, 2023

Chet successfully took Apigee public before the company was acquired by Google in 2016. Google (Apigee) is the cross-cloud API management platform that operates in a multi- and hybrid-cloud world. Chet earned his B.S. in engineering from Arizona State University. Artificial Intelligence, Machine Learning

Cost-Benefit 98

Cost-Benefit Enterprise Machine Learning Marketing 98

CIO Business Intelligence

MAY 31, 2023

Martha Heller: Since joining Broadcom 2016, you have been CIO, then CTO and head of software business operations, and now CTO, chief security officer, and head of software engineering and operations. In this model, software engineers are not motivated to keep costs down because they think of the allocation as a tax. ‘My

Software 98

Software Testing Management Technology 98

CIO Business Intelligence

APRIL 11, 2024

Oracle’s cloud pitch Kevin Thompson, CEO at Tricentis, a provider of testing and engineering products, sees Oracle as a solid contender in the enterprise cloud space, thanks to its key differentiation from more established rivals. What sets Oracle apart from any other vendor is its offerings across PaaS, IaaS, and SaaS,” Thompson says. “We

Enterprise 124

Enterprise IT Data Processing Strategy 124

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

by TAMAN NARAYAN & SEN ZHAO A data scientist is often in possession of domain knowledge which she cannot easily apply to the structure of the model. On the one hand, basic statistical models (e.g. On the other hand, sophisticated machine learning models are flexible in their form but not easy to control.

Machine Learning 111

Machine Learning Deep Learning Modeling Interactive 111

Smart Data Collective

JULY 16, 2023

This methodology is grounded in concrete, empirical evidence that has been tested and proven over time. For example, due to computerization and algorithmic trading, Goldman Sachs decreased the number of people trading stocks from 600 to 2, from 2000 to 2016. It is not based on unfounded claims or baseless assumptions.

Big Data 98

Big Data Marketing Strategy Insurance 98

Domino Data Lab

SEPTEMBER 25, 2019

One of the most common ways of fitting time series models is to use either autoregressive (AR), moving average (MA) or both (ARMA). These models are well represented in R and are fairly easy to work with. AR models can be thought of as linear regressions of the current value of the time series against previous values.

Forecasting 87

Forecasting Modeling Statistics Optimization 87

Smart Data Collective

DECEMBER 19, 2019

As per the report by AV-TEST Institute, over 856 million malware variants were created last year. Using machine learning models , AI-powered systems easily mimic humans. In 2016, A Facebook bot tricked more than 10,000 Facebook users. Modeling User Behavior. So, you can see that data is everywhere.

Machine Learning 90

Machine Learning Reporting Testing Marketing 90

The Unofficial Google Data Science Blog

MARCH 31, 2016

KUEHNEL, and ALI NASIRI AMINI In this post, we give a brief introduction to random effects models, and discuss some of their uses. Through simulation we illustrate issues with model fitting techniques that depend on matrix factorization. Random effects models are a useful tool for both exploratory analyses and prediction problems.

Modeling 40

Modeling Statistics Advertising Testing 40

Insight

JUNE 10, 2019

In 2016, Uber published its Uber Elevate White Paper , setting its aspirations on providing on-demand air taxis from San Francisco to San Jose for about $130. Alexander | June 1, 2016 Training a c onvolution neural network (CNN) to spot helipads The solution I developed rests on retraining a CNN to recognize helipads in aerial images.

Breakeven 69

Breakeven Modeling Testing Marketing 69

CIO Business Intelligence

FEBRUARY 28, 2023

To develop the project, Fearless leveraged Smithsonian’s APIs to access a massive catalog of digital content, including 3D models, videos, podcasts, and imagery not available in the physical building in order to create an immersive, rich experience that rivals a walk-through.

Metadata 98

Metadata Recreation/Entertainment Cost-Benefit Technology 98

Cloudera

MAY 15, 2018

Over the past decade, we have observed open source powered big data and analytics platforms evolve from large data storage containers to massively scalable advanced modeling platforms that seamlessly operate on-premises and in a multi-cloud environment. Derman (2016), Cesa (2017) & Bouchard (2018)).

Machine Learning 42

Machine Learning Recreation/Entertainment Finance Big Data 42

CIO Business Intelligence

MARCH 21, 2023

On March 21, CEO Jensen Huang (pictured) told attendees at the company’s online-only developer conference, GTC 2023, about a string of new services Nvidia hopes enterprises will use to train and run their own generative AI models. Nvidia is offering as-a-service solutions to those problems at several levels.

Enterprise 52

Enterprise Testing Modeling Data Processing 52

Insight

MAY 20, 2020

When I was an Insight Data Engineering Fellow in 2016, I knew very little about Apache Spark prior to starting the program. The tradeoff is that you’d have to follow Spark’s programming model and you wouldn’t have the same amount of control as if you built the infrastructure yourself.

Data Warehouse 106

Data Warehouse Optimization Interactive Cost-Benefit 106

DataRobot

JULY 2, 2021

In 2016, Greater Manchester became the first city region in the United Kingdom to take full control of its combined health and social care budgets – a sum of more than £6 billion. Graham Beales is one of the people testing that proposition. We asked Graham about the scope of his work and was impressed by the answer.

Data-driven 52

Data-driven Consulting Business Intelligence Testing 52

Ontotext

MAY 26, 2021

Our first data source says that on June 13, 2016 Microsoft bought LinkedIn , while the second – that Microsoft bought LinkedIn for $28.1 But, before we can have any larger scale implementation of these rules, we have to test their validity. How does the Gold Standard help data linking?

Data Quality 87

Data Quality Machine Learning Measurement Metadata 87

CIO Business Intelligence

MAY 4, 2022

Sandbox began life as a secretive division of Google parent company Alphabet in 2016, and in March 2022 became a company in its own right, Sandbox AQ. An ML model is necessary to make these real-time choices. The A is for artificial intelligence, and the Q is for quantum, says CEO Jack Hidary. There’s no source code out there.

Enterprise 97

Enterprise Machine Learning Software Interactive 97

Domino Data Lab

AUGUST 8, 2019

Meanwhile, many organizations also struggle with “late in the pipeline issues” on model deployment in production and related compliance. Having participated in several Foo Camps—and even co-chaired the Ed Foo series in 2016-17— most definitely, a Foo will turn your head around. Rinse, lather, repeat—probably each week.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Domino Data Lab

OCTOBER 23, 2019

This chapter will explore the numbers behind the numbers using ML and then creating an API to serve out the ML model. This means covering details like setting up your environment, deployment, and monitoring, in addition to creating models on clean data. You can add a Makefile command test that will run all of your notebooks by issuing.

Statistics 59

Statistics Machine Learning Testing Modeling 59

DataRobot Blog

MARCH 10, 2022

The “Fourth Industrial Revolution” was coined by Klaus Schwab of the World Economic Forum in 2016. As these models make inferences, DataRobot’s MLOps offering allows teams to monitor these models and create downstream triggers or alerts based on the predictions. Train, Compare, Rank, Validate, and Select Models for Production.

Manufacturing 52

Manufacturing IoT Machine Learning Forecasting 52

The Unofficial Google Data Science Blog

APRIL 23, 2024

Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well. That is true generally, not just in these experiments — spreading measurements out is generally better, if the straight-line model is a priori correct.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

bridgei2i

AUGUST 12, 2021

Faster R-CNN is a single-stage model that is trained end-to-end. A note to the reader – a tried and tested Object Detection architecture gave this team promising results. Faster RCNN has been tested mostly with images that are 2000×2000 pixels. Image Source - [link].

Testing 52

Testing ROI Enterprise IT 52

CIO Business Intelligence

MARCH 22, 2022

A certified lead auditor, hacking forensic investigator, and security analyst, Tiwari is an IT veteran from the Indian Navy where he set up the information security and incident response organization, including the formulation of policy frameworks, security audits, product testing, cyber forensics, and risk management. .

Internet Publishing and Broadcasting 98

Internet Publishing and Broadcasting Digital Transformation Insurance Recreation/Entertainment 98

BizAcuity

MAY 10, 2022

Amazon strategically went with the pricing model of ‘on-demand’, allowing developers to pay only as-per their computational needs. 2016: Oracle launches with competencies across compute, storage, and networking. AWS rolls out SageMaker, designed to build, train, test and deploy machine learning (ML) models.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

Domino Data Lab

MARCH 27, 2019

This data set contains the percentage of votes that were cast in each state for the Democratic Party candidate in each presidential election from 1932 to 2016. This allows you to easily rearrange the steps (simply by moving lines), as well as to “comment out” particular steps to test and debug your analysis as you go.

Statistics 85

Statistics Data Science Visualization IT 85

Domino Data Lab

AUGUST 1, 2021

In this article we cover explainability for black-box models and show how to use different methods from the Skater framework to provide insights into the inner workings of a simple credit scoring neural network model. 2016) for an example of this technique (LIME). See Ribeiro et al.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Domino Data Lab

JULY 1, 2021

In this blog post we present the Named Entity Recognition problem and show how a BiLSTM-CRF model can be fitted using a freely available annotated corpus and Keras. The model achieves relatively high accuracy and all data and code is freely available in the article. How to build a statistical Named Entity Recognition (NER) model.

Modeling 111

Modeling Statistics Testing Metrics 111