Rita Sallam

APRIL 2, 2023

The first featured analytics and BI platform Gartner Magic Quadrant leaders while the other showcased high interest data science and machine learning platforms. Extreme weather events and their devastating impacts are more frequent and severe, but which populations are most affected? We did two Bake-Offs this year.

Optimization 52

Optimization Machine Learning Insurance Risk 52

Sisense

MAY 27, 2019

Digging Deep For Data Diamonds – The Data Engineer. Refining Raw Materials Into Valuable Insights – The Data Scientist. You’ve got a healthy level of interest from the visitors to your website, enquiries, and trials. You’re regularly finding great leads and you’ve got some good ideas for more lead generation. Data’s like diamonds.

Statistics 75

Statistics Machine Learning Visualization Big Data 75

Domino Data Lab

FEBRUARY 10, 2019

This blog post provides insights into why machine learning teams have challenges with managing machine learning projects. Why are Machine Learning Projects so Hard to Manage? I’ve watched lots of companies attempt to deploy machine learning? Why is this?

Machine Learning 63

Machine Learning Modeling Deep Learning Metrics 63

Insight

MAY 7, 2019

It’s a popular project topic among Insight Fellows, however a lot of time is spent collecting labeled datasets, cleaning data, and deciding which classification method to use. Transfer learning has simplified image classification tasks. I wanted to make transfer learning easy to use for text classification. fastText? —?The

Modeling 75

Modeling Testing Machine Learning Interactive 75

Insight

MARCH 5, 2019

Internet of Thing (AWS IoT) Are you looking to transition into the field of machine learning in Silicon Valley, New York, or Toronto? Apply for the upcoming June session today ( Deadline is March 25th for SV and NYC ) or learn more about the Artificial Intelligence program at Insight! You return home from work.

Machine Learning 71

Machine Learning Internet of Things Recreation/Entertainment IoT 71

DataRobot Blog

FEBRUARY 14, 2022

In the past decade, we’ve seen an explosion in the usage of AI. From predicting which customers are likely to churn to forecasting inventory demand, businesses are adopting AI more and more frequently. With any AI solution , you want it to be accurate. But just as important, you want it to be explainable. Feature Effects.

Machine Learning 52

Machine Learning Metrics Sales Modeling 52

O'Reilly on Data

OCTOBER 13, 2020

The field of AI product management continues to gain momentum. As the AI product management role advances in maturity, more and more information and advice has become available. One area that has received less attention is the role of an AI product manager after the product is deployed.

Management 246

Management Metrics Machine Learning Modeling 246

DataRobot Blog

APRIL 22, 2022

In our previous post , we talked about how red AI means adding computational power to “buy” more accurate models in machine learning , and especially in deep learning. In their paper, Green AI , Schwarz et al give an equation that explains the variability in resource cost to build models.

Machine Learning 98

Machine Learning Measurement Deep Learning Manufacturing 98

Occam's Razor

AUGUST 28, 2017

Over the last couple years, I’ve spent an increasing amount of time diving into the possibilities Deep Learning (DL) offers in terms of what we can do with Artificial Intelligence (AI). Through it all, I’ve felt there are a handful of breath-taking realities that most people are not grasping when it comes to an AI-Powered world.

Deep Learning 139

Deep Learning Machine Learning Marketing Strategy 139

Domino Data Lab

FEBRUARY 4, 2019

Spoiler alert: a research field called curiosity-driven learning is emerging at the nexis of experimental cognitive psychology and industry use cases for machine learning, particularly in gaming AI. We’d love to hear your insights and perspectives about running data teams. Modernists and structuralists beware.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

IBM Big Data Hub

FEBRUARY 6, 2024

There would be no e-commerce, remote work capabilities or the IT infrastructure framework needed to support emerging technologies like generative AI and quantum computing. It’s hard to imagine a business world without cloud computing. What do private cloud, public cloud and hybrid cloud have in common?

Cost-Benefit 109

Cost-Benefit Digital Transformation Software Modeling 109

Andrew White

JANUARY 9, 2022

Which trends do you see for 2022 in AI & ML technology and tools and tool capabilities? – In the webinar and Leadership Vision deck for Data and Analytics we called out AI engineering as a big trend. I would take a look at our Top Trends for Data and Analytics 2021 for additional AI, ML and related trends.

Analytics 64

Analytics Measurement Modeling Data-driven 64

Alation

JANUARY 25, 2022

In our previous blog, Data Mesh vs. Data Fabric: A Love Story , we defined data fabric and outlined its uses and motivations. Using this diagram as our guide, this blog will deep-dive into each layer of the data fabric, starting with the data catalog. ” 1. The data catalog is a foundational layer of the data fabric.

Metadata 52

Metadata IT Metrics Data-driven 52

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

Insight

MARCH 20, 2020

How can we use AI to transform this tedious technical exercise into a simple and natural interaction between the computer and designer? How can we use AI to transform this tedious technical exercise into a simple and natural interaction between the computer and designer?

Interactive 143

Interactive Modeling Machine Learning Testing 143

FineReport

APRIL 3, 2024

These BI Dashboard tools blend advanced analytics with user-friendly interfaces, revealing invaluable insights. These tools streamline complex data interpretation, offering precise insights that enrich decision-making. Dashboards offer succinct overviews of performance metrics, catering to stakeholders requiring swift insights.

Dashboards 52

Dashboards Visualization Metrics Interactive 52

Andrew White

JANUARY 11, 2021

This was in fact an overview of a piece of research we update every year. This was for the Chief Data Officer, or head of data and analytics. It is meant to be a desk-reference for that role for 2021. Gartner also published the same piece of research for other roles, such as Application and Software Engineering. I hope you can find your question.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

MAY 1, 2023

Learn how embedded analytics are different from traditional business intelligence and what analytics users expect. This is in contrast to traditional BI, which extracts insight from data outside of the app. Every application provider has the same goals: to help their users work more efficiently, and to drive user adoption.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52