CIO Business Intelligence

JUNE 22, 2022

In December 2021, Tan Sri Annuar Musa, Minister of Communications and Multimedia Malaysia, launched the 5G Cyber Security Test Lab or My5G at CyberSecurity Malaysia. Huawei will fully support CyberSecurity Malaysia, helping establish My5Gas as a regional cyber security test center. Cloud Computing: TM ONE Alpha Edge.

Digital Transformation 100

Digital Transformation Manufacturing Testing Technology 100

Domino Data Lab

AUGUST 1, 2021

The interest in interpretation of machine learning has been rapidly accelerating in the last decade. This can be attributed to the popularity that machine learning algorithms, and more specifically deep learning, has been gaining in various domains. Interpretable Machine Learning , Christoph Molnar, Section 5.1,

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

CIO Business Intelligence

JULY 20, 2022

The 2022 State of the CIO research confirmed talent acquisition and retention strategies are a key issue for CIOs, cited by 38% of respondents, with cybersecurity skills, data science/analytics, and artificial intelligence (AI) and machine learning (ML) in top demand. There is this notion of gateway roles into technology,” Frank says.

IT 135

IT Software Cost-Benefit Strategy 135

Data Science and Beyond

OCTOBER 15, 2017

Here are my thoughts from 2014 on defining data science as the intersection of software engineering and statistics , and a more recent post on defining data science in 2018. I’ve also dabbled in deep learning , marine surveys , causality , and other things that I haven’t had the chance to write about.

Data Science 71

Data Science Deep Learning Machine Learning Data-driven 71

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. We need people who can test.

Enterprise 98

Enterprise Digital Transformation Insurance B2B 98

Insight

APRIL 16, 2019

InfoSec teams dedicated to anti-abuse and data privacy are using recent advances in machine learning and engineering to help secure their services. million by 2021 , a more than 300% increase since 2014. Despite urgent calls for more education and training from leaders?—?from the demand has far outpaced the supply.

Machine Learning 68

Machine Learning Software Risk Reporting 68

Domino Data Lab

JULY 9, 2019

Wiggins advocated that data scientists find problems that impact the business; re-frame the problem as a machine learning (ML) task; execute on the ML task; and communicate the results back to the business in an impactful way. I still believe that data science is the craft of trying to apply machine learning to some real world problem.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

Domino Data Lab

APRIL 3, 2019

Plus, the more mature machine learning (ML) practices place greater emphasis on these kinds of solutions than the less experienced organizations. That presented an opportunity to learn, putting me in the same position as much of the audience. Newer work in machine learning (e.g., We keep feeding the monster data.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Sisense

FEBRUARY 24, 2021

To help provide guidance for what role a chief data officer should play at a particular organization, Yang Lee and a research team introduced their cubic framework for the chief data officer in their seminal 2014 paper for MIS Quarterly Executive. This situation can quickly pose a dilemma for the chief data officer.

Data Warehouse 69

Data Warehouse Big Data Metrics Visualization 69

BizAcuity

MAY 10, 2022

2014: Satya Nadella, who is influential behind Microsoft’s cloud market ventures, becomes the CEO of Microsoft. Microsoft launches Azure ML Studio for machine learning capabilities on the cloud. 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

DECEMBER 2, 2020

Due to its importance in both theory and applications, this algorithm is one of three algorithms awarded the Test of Time Award at the KDD conference in 2014. Thanks to Scikit-Learn’s easy-to-use API, we can implement DBSCAN in only a couple lines of code: from sklearn.cluster import DBSCAN. Application.

Metrics 116

Metrics KDD Testing Machine Learning 116

Howard Dresner

FEBRUARY 11, 2014

Vendors need to automate and decrease that effort.” • “I tested a social analytics tool; I was less than impressed. It was keyboard based and turned up a lot of false positives.” • “This needs more machine learning algorithms than most tools use today. These three functionalities in BI technology are not yet in the ninth inning.

Analytics 45

Analytics Business Intelligence Data Processing Marketing 45

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. We use PrePost in most of our A/B tests, so we have pre-experiment metric measurements readily available that we can use as covariates in our models. R package version 2.3-3,

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Insight

JANUARY 14, 2020

For example, if you notice that, during training, your evaluation metric for the test set suddenly begins to plummet but the metric for the training set remains high, that’s probably a sign that your model is overfitting. The VGG16 architecture was the runner-up in the ILSVRC-2014 challenge. In the next section, we’ll find out!

Metrics 58

Metrics Optimization Modeling Testing 58

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. The field of statistical machine learning provides a solution to this problem, allowing exploration of larger spaces.

Statistics 44

Statistics Optimization Modeling Experimentation 44

Domino Data Lab

AUGUST 22, 2019

Note: In more technical machine learning terms, the cost function of the skip-gram architecture is to maximize the log probability of any possible context word from a corpus given the current target word.] At the time—in 2014—the three were colleagues working. Relative to extrinsic evaluations, intrinsic tests are quick.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111