IBM Big Data Hub

AUGUST 9, 2023

A phishing simulation is a cybersecurity exercise that tests an organization’s ability to recognize and respond to a phishing attack. Phishing tests are usually part of broader security awareness training led by IT departments or security teams. The only difference is that recipients who take the bait (e.g.,

Testing 74

Testing Measurement Behavioral Analytics Reporting 74

CIO Business Intelligence

JUNE 14, 2023

Certifications measure your knowledge and skills against industry- and vendor-specific benchmarks to prove to employers that you have the right skillset. Organization: AWS Price: US$300 How to prepare: Amazon offers free exam guides, sample questions, practice tests, and digital training.

Big Data 125

Big Data Data Analytics Analytics Predictive Modeling 125

IBM Big Data Hub

MAY 8, 2023

In my previous post , I described the different capabilities of both discriminative and generative AI, and sketched a world of opportunities where AI changes the way that insurers and insured would interact. The risk of privacy leakage from interaction with AI technologies is a major source of consumer concern and mistrust.

Insurance 68

Insurance Risk Testing Data Quality 68

datapine

MAY 2, 2023

According to studies, 92% of data leaders say their businesses saw measurable value from their data and analytics investments. The rise of SaaS business intelligence tools is answering that need, providing a dynamic vessel for presenting and interacting with essential insights in a way that is digestible and accessible.

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

Corinium

JUNE 6, 2019

Fractal’s recommendation is to take an incremental, test and learn approach to analytics to fully demonstrate the program value before making larger capital investments. A properly set framework will ensure quality, timeliness, scalability, consistency, and industrialization in measuring and driving the return on investment.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

erwin

SEPTEMBER 12, 2019

Strong internal business process modeling and management helps data-driven organizations compete and lead. The Value of Internal Business Process Modeling. Benefits of Internal Business Process Modeling and Management. In the book “Exponential Organizations” by Salim Ismail, Michael S.

Modeling 101

Modeling Cost-Benefit Data-driven Data Governance 101

CIO Business Intelligence

NOVEMBER 6, 2023

This makes it more critical than ever to adopt strong security measures to protect sensitive information and infrastructure. If a hacker manages to bypass one security measure, there are still others in place that can detect and prevent the attack.

Risk 124

Risk Measurement Cost-Benefit Strategy 124

The Unofficial Google Data Science Blog

JANUARY 16, 2018

We present data from Google Cloud Platform (GCP) as an example of how we use A/B testing when users are connected. Experimentation on networks A/B testing is a standard method of measuring the effect of changes by randomizing samples into different treatment groups. This is the case for experiments on the Google Cloud Platform.

Testing 58

Testing Experimentation Measurement Modeling 58

Smart Data Collective

OCTOBER 26, 2023

Virtual reality is revolutionizing the way businesses engage with their customers, offering enhanced experiences and immersive interactions. With the advancement of technology, the metaverse has become a virtual reality space where users can interact with each other and the digital world.

Interactive 93

Interactive Measurement Technology Testing 93

datapine

JANUARY 6, 2022

Yet, before any serious data interpretation inquiry can begin, it should be understood that visual presentations of data findings are irrelevant unless a sound decision is made regarding scales of measurement. Interval: a measurement scale where data is grouped into categories with orderly and equal distances between the categories.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

datapine

SEPTEMBER 29, 2022

5) How Do You Measure Data Quality? In this article, we will detail everything which is at stake when we talk about DQM: why it is essential, how to measure data quality, the pillars of good quality management, and some data quality control techniques. These needs are then quantified into data models for acquisition and delivery.

Data Quality 241

Data Quality Metrics Data-driven Management 241

The Unofficial Google Data Science Blog

OCTOBER 7, 2015

by HENNING HOHNHOLD, DEIRDRE O'BRIEN, and DIANE TANG In this post we discuss the challenges in measuring and modeling the long-term effect of ads on user behavior. We describe experiment designs which have proven effective for us and discuss the subtleties of trying to generalize the results via modeling.

Modeling 61

Modeling Experimentation Knowledge Discovery Testing 61

CIO Business Intelligence

OCTOBER 20, 2022

Use AI-enabled software to implement anti-phishing security measures In-house cybersecurity training is no longer a time- and skill-intensive process, given the prevalence of AI-based phishing awareness platforms. Schedule regular security and phishing training for employees and remedial measures for those who fail tests.

Measurement 139

Measurement Reporting Enterprise Software 139

DataRobot

JULY 16, 2021

The first is trust in the performance of your AI/machine learning model. They all serve to answer the question, “How well can my model make predictions based on data?” How can identifying gaps or discrepancies in the training data help you build a more trustworthy model? Dimensions of Trust. How large is the data set?

Machine Learning 98

Machine Learning Uncertainty Modeling Measurement 98

datapine

JULY 26, 2022

Your Chance: Want to test a small business dashboard software? That is all possible thanks to the interactive nature of dashboards. Small business metrics are performance measurements that provide insights into the progress of different activities and company goals. How you might be wondering? Starting off with a definition.

Dashboards 151

Dashboards KPI Metrics Sales 151

IBM Big Data Hub

APRIL 18, 2024

While these large language model (LLM) technologies might seem like it sometimes, it’s important to understand that they are not the thinking machines promised by science fiction. Most experts categorize it as a powerful, but narrow AI model. A key trend is the adoption of multiple models in production.

Cost-Benefit 89

Cost-Benefit Modeling Manufacturing Interactive 89

O'Reilly on Data

JUNE 24, 2020

The argument is that some systems are intrinsically difficult to model. There are too many causes and too many effects that interact with each other in ways that are difficult to predict or even understand. You can’t control for, or even measure, several of these factors. What does that mean?

Measurement 291

Measurement Testing Interactive Modeling 291

CIO Business Intelligence

JUNE 7, 2022

They process and analyze data, build machine learning (ML) models, and draw conclusions to improve ML models already in production. You don’t understand how long you should test your feature and what exactly you should measure,” he says. Data scientists may build the ML models, but its ML engineers who implement them.

Machine Learning 145

Machine Learning Data Science Consulting Metrics 145

CIO Business Intelligence

MAY 31, 2022

They are the blueprints for all kinds of business functions, enabling disparate parts of the organization to work together and to interact with suppliers and customers. A company can only be as flexible, efficient, and agile as the interaction of its business processes allow.

Enterprise 77

Enterprise Management Interactive Software 77

Insight

MARCH 12, 2020

The AIgent was built with BERT, Google’s state-of-the-art language model. In this article, I will discuss the construction of the AIgent, from data collection to model assembly. Features: DistilBERT Text Embeddings Once I had a raw dataset, I could begin engineering features and building a natural language processing (NLP) model.

Modeling 59

Modeling Metadata Publishing Sales 59

datapine

JUNE 18, 2019

A data-driven finance report is also an effective means of remaining updated with any significant progress or changes in the status of your finances, and help you measure your financial results, cash flow, and financial position. b) Measure Revenue Loss. Metrics used to measure these factors can include: Number of daily transactions.

Reporting 251

Reporting Metrics KPI Finance 251

Smarten

APRIL 12, 2023

Smarten CEO, Kartik Patel says, ‘Smarten SnapShot supports the evolving role of Citizen Data Scientists with interactive tools that allow a business user to gather information, establish metrics and key performance indicators.’

Snapshot 52

Snapshot Key Performance Indicator KPI Business Intelligence 52

Cloudera

DECEMBER 11, 2020

A recent McKinsey survey, cited in CRN , shows that worldwide, 58 percent of customer interactions were digital as of July 2020. That compares to only 36 percent of customer interactions as of December 2019, which was before the pandemic impacted business, and only 20 percent in May 2018.

Insurance 95

Insurance Digital Transformation Unstructured Data Machine Learning 95

Smart Data Collective

JANUARY 30, 2023

Desperate times call for smart measures, which we’ve discussed and decided to present to you. They can see how their teams are interacting and whether certain members are missing deadlines or making consistent errors. For instance, you could test your software by allowing the end consumer to try it out in mixed reality.

Software 98

Software Strategy Testing Advertising 98

CIO Business Intelligence

JUNE 8, 2023

Relevant skills include security architecture design, threat modeling, compliance and regulations, security operations, risk assessment and management, and security infrastructure implementation. As a main, and often first, point of contact for end-users, help desk technicians need the right skills to interact with customers and clients.

IT 136

IT Digital Transformation Software Risk 136

Cloudera

JANUARY 5, 2021

To enable these business capabilities requires an enterprise data platform to process streaming data at high volume and high scale, to manage and monitor diverse edge applications, and provide data scientists with tools to build, test, refine and deploy predictive machine learning models. .

Forecasting 91

Forecasting Cost-Benefit Sales Unstructured Data 91

Domino Data Lab

OCTOBER 7, 2020

The Curse of Dimensionality , or Large P, Small N, ((P >> N)) , problem applies to the latter case of lots of variables measured on a relatively few number of samples. MANOVA, for example, can test if the heights and weights in boys and girls is different. The accuracy of any predictive model approaches 100%.

Statistics 145

Statistics Testing Predictive Modeling Modeling 145

CIO Business Intelligence

JUNE 13, 2024

Not instant perfection The NIPRGPT experiment is an opportunity to conduct real-world testing, measuring generative AI’s computational efficiency, resource utilization, and security compliance to understand its practical applications. It is not training the model, nor are responses refined based on any user inputs.

Testing 85

Testing Experimentation Data Processing Modeling 85

Smart Data Collective

JUNE 24, 2023

This means that anybody that is possible victim will need to leverage AI-driven cyber security measures to protect their digital assets. But can cybersecurity measures predicated on machine learning actually help stop cryptocurrency scams? In 2019, another team tested the new fraudulent behavior Honeypot in Ethereum.

Machine Learning 78

Machine Learning Broadcasting Risk Data mining 78

Decision Management Solutions

FEBRUARY 8, 2021

in partnership with IBM and other organizations is in the process of conducting performance tests on the world’s first autonomous ship and is due to set sail for its first transatlantic voyage this spring. It’s made up of a series of different systems operating and interacting with each other. Marine AI—based in Plymouth, U.K.—in

Machine Learning 93

Machine Learning Testing Deep Learning Optimization 93

Occam's Razor

APRIL 8, 2013

Sometimes, we escape the clutches of this sub optimal existence and do pick good metrics or engage in simple A/B testing. Let's listen in as Alistair discusses the lean analytics model… The Lean Analytics Cycle is a simple, four-step process that shows you how to improve a part of your business. Testing out a new feature.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

CIO Business Intelligence

MAY 16, 2023

AI Opportunities Generative AI is the basis for sophisticated AI models such as ChatGPT and Dall-E. Big Data collection at scale is increasing across industries, presenting opportunities for companies to develop AI models and leverage insights from that data. At the same time, ongoing challenges continue to be voiced online.

Advertising 86

Advertising Recreation/Entertainment Experimentation Enterprise 86

Smart Data Collective

AUGUST 16, 2021

As an eCommerce entrepreneur, you have the benefit of being able to access a plethora of data at any time about multiple areas of your business and how consumers interact with it. Analytics data can be very useful for companies trying to create profitable online business models. Another vital metric is the conversion rate.

Metrics 130

Metrics Analytics Cost-Benefit Sales 130

CIO Business Intelligence

AUGUST 28, 2023

It provides a way for developers and teams to deliver a better product, in a faster manner, through short, iterative, interactive sessions/sprints. A final working product is the ultimate measure of success. Rushed testing cycles: Sprints can create a risk of rushed testing cycles. Strategic alignment is still critical.

Management 95

Management Software Testing Risk 95

CIO Business Intelligence

JUNE 13, 2023

Once wild and seemingly impossible notions such as large language models, machine learning, and natural language processing have gone from the labs to the front lines. Now some AI architects are eyeing the long-forgotten model of analog computation where values are expressed as voltages or currents.

IT 134

IT Scorecard Software Modeling 134

erwin

MARCH 12, 2020

The report notes six primary EA competencies in which we excel in the large vendor category: modeling, strategy translation, risk management, financial management, insights and change management. They’re looking for product management, dev/ops, security modeling, personas and portfolio management all to be part of an integrated EA platform.

Enterprise 85

Enterprise Reporting Management ROI 85

datapine

JANUARY 24, 2021

Additionally, incorporating a decision support system software can save a lot of company’s time – combining information from raw data, documents, personal knowledge, and business models will provide a solid foundation for solving business problems. There are basically 4 types of scales: *Statistics Level Measurement Table*.

IT 317

IT Statistics KPI Data-driven 317