Occam's Razor

OCTOBER 14, 2014

See step four in the process for creating your Digital Marketing and Measurement Model.]. Let me admit right away that setting targets is a complex art and science. We are all blessed with more data than we know what to do with, and all for the price of a few lines of JavaScript added to your website. related to their performance.

Key Performance Indicator 133

Key Performance Indicator Metrics Reporting Marketing 133

The Unofficial Google Data Science Blog

APRIL 23, 2024

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g.,

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

datapine

OCTOBER 21, 2020

Big data in healthcare is a term used to describe massive volumes of information created by the adoption of digital technologies that collect patients’ records and help in managing hospital performance, otherwise too large and complex for traditional technologies. What are the obstacles to its adoption? What Is Big Data In Healthcare?

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

datapine

DECEMBER 11, 2019

“Software as a service” (SaaS) is becoming an increasingly viable choice for organizations looking for the accessibility and versatility of software solutions and online data analysis tools without the need to rely on installing and running applications on their own computer systems and data centers. Dispelling 3 Common SaaS Myths.

Software 314

Software Cost-Benefit Data Processing Data-driven 314

Domino Data Lab

JUNE 15, 2021

Over the next decade, the companies that will beat competitors will be “model-driven” businesses. These companies often undertake large data science efforts in order to shift from “data-driven” to “model-driven” operations, and to provide model-underpinned insights to the business. Why Snowflake UDFs.

Modeling 69

Modeling Data Science Data-driven Data Warehouse 69

IBM Big Data Hub

SEPTEMBER 20, 2023

Foundational models (FMs) are marking the beginning of a new era in machine learning (ML) and artificial intelligence (AI) , which is leading to faster development of AI that can be adapted to a wide range of downstream tasks and fine-tuned for an array of applications.

Modeling 90

Modeling Enterprise Software Machine Learning 90

datapine

NOVEMBER 19, 2019

If you don’t pay attention to new changes or keep up the pace, it’s easy to fall behind the times (and the market) while other companies beat you to the punch. The solution? To keep abreast of current changes – at least at a level of basic understanding. Exclusive Bonus Content: Download our Top 10 Technology Buzzwords!

Technology 279

Technology Internet of Things IT IoT 279

datapine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. This trend has been brought about by the new demands of the modern marketplace, and it’s here to stay. The rate at which data is generated has increased exponentially in recent years. million searches per day and 1.2

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Domino Data Lab

FEBRUARY 4, 2019

People who attended JupyterCon 2017–2018 can attest, an “industry poster session” includes an open bar, catered hors d’oeuvres, lots of mingling … to paraphrase feedback from JupyterCon, “As a tech person, would I get up extra early to meet strangers for coffee at 8:00 am? Introduction. Welcome back to our monthly series about data science.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

IBM Big Data Hub

JANUARY 17, 2024

Chatbots have become a sort of Swiss-Army-knife for many organizations, one tool that fulfills many business needs. They offer limited flexibility but are quick and efficient tools for simple tasks. They offer limited flexibility but are quick and efficient tools for simple tasks.

Interactive 67

Interactive Sales Machine Learning Marketing 67

Ontotext

JUNE 24, 2020

A single GraphQL model acts as a language and grammar that aids communication between developers, domain experts and clients. Those of you who are familiar with RDFS / OWL will know that a good model acts as the foundation for the design and build of all the software and APIs that make use of it. The Jedi will be overwhelmed.

Modeling 64

Modeling Technology IT Management 64

Occam's Razor

JANUARY 30, 2012

It is painfully heartbreaking to realize that a very small tiny number of people who have access to web analytics tools actually use them. I mean really use the tools. Nourish yourself with the "info snacks" the tool's engineers and product managers cooked up. Ravage all the features. This post is all about that.

Analytics 145

Analytics Dashboards Metrics Key Performance Indicator 145

IBM Big Data Hub

JUNE 29, 2023

With Industrial Internet of Things (IIoT) devices and sensors collecting data from machines, equipment and production lines, AI algorithms can quickly process and analyze data to identify patterns and trends, helping manufacturers understand how production processes are performing. Digitalization and Industry 4.0 Industry 4.0

Manufacturing 60

Manufacturing Internet of Things Cost-Benefit Digital Transformation 60

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. The interest in interpretation of machine learning has been rapidly accelerating in the last decade.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

O'Reilly on Data

MARCH 24, 2020

In a world focused on buzzword-driven models and algorithms, you’d be forgiven for forgetting about the unreasonable importance of data preparation and quality: your models are only as good as the data you feed them. The model and the data specification become more important than the code.

Machine Learning 346

Machine Learning Statistics Data Quality Modeling 346

datapine

NOVEMBER 27, 2019

In 2020, BI tools and strategies will become increasingly customized. Over the past decade, business intelligence has been revolutionized. Data exploded and became big. We all gained access to the cloud. 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

datapine

MAY 17, 2021

3) Data Discovery Tools Attributes. Businesses can benefit from improved data driven decision making as well as enhanced business processes and models and share insights across departments more fluently while propelling intelligent business strategies. What are the tools used for such a task? Table of Contents.

Visualization 161

Visualization Data-driven Business Intelligence Metrics 161

datapine

DECEMBER 4, 2019

The accuracy of the predictions depends on the data used to create the model. For instance, if a model is created based on the factors inherent at one company, it doesn’t necessarily apply at a second company. The same may be true about a model for one year compared to the next year within the same company.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

IBM Big Data Hub

MARCH 20, 2024

In the business sphere, both large enterprises and small startups depend on public cloud computing models to provide the flexibility, cost-effectiveness and scalability needed to fuel business growth. In a public cloud computing model, a cloud service provider (CSP) owns and operates vast physical data centers that run client workloads.

Internet of Things 99

Internet of Things Cost-Benefit Data Processing IoT 99

IBM Big Data Hub

FEBRUARY 9, 2024

2023 saw an explosion of increasingly efficient foundation models with open licenses, beginning with the launch of Meta’s LlaMa family of large language models (LLMs) and followed by the likes of StableLM, Falcon, Mistral, and Llama 2. DeepFloyd and Stable Diffusion have achieved relative parity with leading proprietary models.

Cost-Benefit 105

Cost-Benefit Modeling Data-driven Enterprise 105