DataRobot Blog

FEBRUARY 14, 2022

Model explainability is typically grouped into the categories of Global Explainability and Local Explainability. From the Feature Details plot, we see that the scoring data has a higher amount of missing data and more of the “other” category than the training data. Learn More About Explainable AI. Learn more.

Machine Learning 52

Machine Learning Metrics Sales Modeling 52

Rocket-Powered Data Science

JULY 6, 2021

In this post, we will examine ways that your organization can separate useful content into separate categories that amplify your own staff’s performance. If you include the title of this blog, you were just presented with 13 examples of heteronyms in the preceding paragraphs. Before we start, I have a few questions for you.

Strategy 266

Strategy Machine Learning Metadata Knowledge Discovery 266

Rocket-Powered Data Science

FEBRUARY 15, 2023

A business-disruptive ChatGPT implementation definitely fits into this category: focus first on the MVP or MLP. These rules are not necessarily “Rocket Science” (despite the name of this blog site), but they are common business sense for most business-disruptive technology implementations in enterprises.

Strategy 289

Strategy Experimentation Uncertainty Machine Learning 289

Ontotext

DECEMBER 15, 2023

The official (first) repo is tensorflow/tensor2tensor that has topics: machine-learning reinforcement-learning deep-learning machine-translation tpu. By exploring the first topic machine-learning , we find 117k Github repos. Wikipedia categories are used to classify articles, and to form a hierarchy.

Machine Learning 69

Machine Learning Interactive Deep Learning Statistics 69

IBM Big Data Hub

MARCH 27, 2024

Within USEEIO, goods and services are categorized into 66 spend categories, referred to as commodity classes, based on their common environmental characteristics. This involves mapping the 15.909 sectors found across the Eora26 categories and more detailed national sector classifications to the USEEIO 66 spend categories.

Experimentation 79

Experimentation Modeling Deep Learning Data-driven 79

BizAcuity

APRIL 15, 2019

And the most recent developments in machine learning, business analytics and more have made affiliate marketing more powerful and efficient than ever before. Ever since it’s boom, people have discovered diverse uses for machine learning and business analytics and have been using them to reach their target audiences.

Machine Learning 75

Machine Learning Marketing Analytics Business Analytics 75

Cloudera

JANUARY 7, 2021

And in the world of e-commerce, assigning product descriptions to the most fitting product category ensures quality control. . However, collecting annotations for your use case is typically one of the most costly parts of the machine learning life cycle. Another fact of real-world use cases is the uneven distribution of data.

Machine Learning 105

Machine Learning Deep Learning IT 105

CIO Business Intelligence

SEPTEMBER 29, 2023

Analyzing the hiring behaviors of companies on its platform, freelance work marketplace Upwork has AI to be the fastest growing category for 2023, noting that posts for generative AI jobs increased more than 1000% in Q2 2023 compared to the end of 2022, and that related searches for AI saw a more than 1500% increase during the same time.

Deep Learning 142

Deep Learning Machine Learning Modeling Consulting 142

DataKitchen

APRIL 13, 2021

Read the complete blog below for a more detailed description of the vendors and their capabilities. Because it is such a new category, both overly narrow and overly broad definitions of DataOps abound. Dagster / ElementL — A data orchestrator for machine learning, analytics, and ETL. . DataOps is a hot topic in 2021.

Testing 307

Testing Machine Learning Consulting Data Quality 307

Cloudera

DECEMBER 14, 2021

But with growing demands, there’s a more nuanced need for enterprise-scale machine learning solutions and better data management systems. In 2021, the finalists under this category include the following organizations. It is also the winning solution in this category. Internal Revenue Service.

Data Lake 107

Data Lake Machine Learning Big Data Data-driven 107

DataRobot

AUGUST 25, 2021

In a recent blog, we talked about how, at DataRobot , we organize trust in an AI system into three main categories: trust in the performance in your AI/machine learning model , trust in the operations of your AI system, and trust in the ethics of your modelling workflow, both to design the AI system and to integrate it with your business process.

Metrics 98

Metrics Measurement Machine Learning Data Collection 98

Laminar Security

DECEMBER 13, 2023

However, the advent of AI and machine learning (ML) has revolutionized this process. Machine learning algorithms can be trained to recognize patterns in the data and classify data accordingly. One trend is the increasing use of deep learning algorithms for these processes.

Data-driven 119

Data-driven Machine Learning Risk Deep Learning 119

Cloudera

OCTOBER 6, 2022

CIO blog post : “Digital transformation is a foundational change in how an organization delivers value to its customers.”. Optimize automation: AI and machine learning (ML) are now the key terms here, but RPA (Robotic Process Automation) still has its place in driving efficiency throughout the enterprise.

Digital Transformation 85

Digital Transformation Cost-Benefit Data Lake Machine Learning 85

DataRobot Blog

JULY 13, 2022

This marks a full decade since some of the brightest minds in data science formed DataRobot with a singular vision: to unlock the potential of AI and machine learning for all—for every business, every organization, every industry—everywhere in the world. Watch the keynote and technical sessions on demand.

Machine Learning 105

Machine Learning Marketing Data Science Reporting 105

O'Reilly on Data

SEPTEMBER 15, 2021

64% of the respondents took part in training or obtained certifications in the past year, and 31% reported spending over 100 hours in training programs, ranging from formal graduate degrees to reading blog posts. The reasons respondents gave for participating in training were surprisingly consistent. Salaries by Tool and Platform.

Machine Learning 363

Machine Learning Statistics Reporting Consulting 363

Cloudera

MAY 12, 2021

The 2021 Cloudera Data Impact Award categories aim to recognize organizations that are using Cloudera’s platform and services to unlock the power of data, with massive business and social impact. A new award category for 2021. A popular category last year, and no doubt this year too. DATA FOR ENTERPRISE AI. PEOPLE FIRST.

Digital Transformation 66

Digital Transformation Machine Learning Optimization Data Lake 66

IBM Big Data Hub

MAY 18, 2023

This report outlines the combination of traditional decision automation tools with machine learning models and other technologies. As Forrester notes in the report, many organizations are eager to harness the power of AI but also must be cautious of risks. We are pleased that IBM has been named as a Leader in the Forrester Wave.

Reporting 92

Reporting Scorecard Predictive Modeling Machine Learning 92

Domino Data Lab

AUGUST 12, 2021

In a previous blog , we have covered how Pandas Profiling can supercharge the data exploration required to bring our data into a predictive modelling phase. Data exploration is a very important step before jumping onto the machine learning wagon. The type of exploration may depend on the answers to some of those questions.

Machine Learning 126

Machine Learning Reporting Statistics Visualization 126

datapine

SEPTEMBER 6, 2022

As a content manager, you most likely spend most of your time writing quality blogs, email newsletters, and social media posts, all in an effort to ensure the business is growing and achieving its goals. 3) Why Is Content Report Analysis Important? 4) Content Dashboards Examples. 5) Content Reporting Best Practices. Let’s get started!

Dashboards 179

Dashboards Reporting ROI Metrics 179

Cloudera

NOVEMBER 26, 2020

While all our winners are doing phenomenal work, one of the most exciting awards of the night was The Data for Enterprise AI category. This award recognized organizations that have built and deployed systems for enterprise-scale machine learning (ML) and have industrialized AI to automate, secure, and standardize data-driven decision making.

B2B 103

B2B Machine Learning Big Data Data-driven 103

AWS Big Data

APRIL 24, 2023

It allows you to access diverse data sources, build business intelligence dashboards, build AI and machine learning (ML) models to provide customized customer experiences, and accelerate the curation of new datasets for consumption by adopting a modern data architecture or data mesh architecture. Choose Create bucket.

Data Lake 79

Data Lake Data Governance Cost-Benefit Machine Learning 79

Dataiku

SEPTEMBER 19, 2022

Forbes recently named Dataiku to the list of Forbes Cloud 100 , which recognizes “standouts in tech’s hottest category.” So, what is it that makes Dataiku a standout when it comes to cloud AI, machine learning (ML), and analytics? Here are just a few reasons.

Machine Learning 52

Machine Learning Analytics IT 52

IBM Big Data Hub

DECEMBER 20, 2023

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more. What is machine learning?

Machine Learning 79

Machine Learning Modeling Deep Learning Predictive Modeling 79

Alation

JULY 19, 2021

To manage the sheer volume of metadata, a new category has emerged called active metadata. Artificial intelligence and machine learning (AI and ML) are removing some of the burden of manual metadata management, which has grown too cumbersome for people to manage alone. To learn more, sign up for a weekly demo today.

Metadata 105

Metadata Management Data Governance Machine Learning 105

AWS Big Data

OCTOBER 5, 2023

Select the following six fields for Source field name from the table Allergies : Start Patient Code Description Type Category Choose Map fields directly. SELECT type, category, "description", count(*) as number_of_cases FROM "healthcare"."bq_appflow_mybqflow_1693588670_latest" Select Run on demand. Choose Next. Choose Next.

Data Warehouse 84

Data Warehouse Machine Learning Data Integration Data-driven 84

Cloudera

AUGUST 20, 2020

Machine Learning (ML) and Artificial Intelligence (AI), while still emerging technologies inside of enterprise organisations, have given some companies the ability to dynamically change their fortunes and reshape the way they are doing business — that is if they are brave enough to experiment and explore the unknown.

Enterprise 121

Enterprise Experimentation Uncertainty Deep Learning 121

IBM Big Data Hub

MAY 25, 2023

In 2023 alone, IBM Consulting has interacted with more than 100 clients and completed dozens of engagements infusing generative AI alongside classical machine learning AI strategies. The post IBM Consulting unveils Center of Excellence for generative AI appeared first on IBM Blog. The CoE is off to a fast start.

Consulting 106

Consulting Experimentation Machine Learning Modeling 106

Smarten

MARCH 19, 2024

Statistical and analytical experts will tell you that there are three primary factors that can help you decide on the metrics to use for your analysis: The type of data you want to analyze – Understanding the data type can help you decide whether you need to consider a binary approach or look at categories, etc.

Analytics 57

Analytics Statistics Visualization Metrics 57

IBM Big Data Hub

APRIL 25, 2023

In a prior blog , we pointed out that warehouses, known for high-performance data processing for business intelligence, can quickly become expensive for new data and evolving workloads. Chat with a data management expert The post Why optimize your warehouse with a data lakehouse strategy appeared first on IBM Blog.

Optimization 57

Optimization Strategy Data Warehouse Cost-Benefit 57

Cloudera

NOVEMBER 24, 2020

This year, OVO has done just that, setting itself apart to win the Data Champions category at our 2020 Data Impact Awards. This category recognizes organizations whose IT administration provides the agility a business requires, without putting the business at risk, and embraces a pattern of technology adoption that prioritizes speed.

Insurance 72

Insurance Marketing Risk Finance 72

Cloudera

OCTOBER 27, 2020

Our goal is to take the incredible data science and machine learning research developments we see emerging from academia and large industrial labs, and bridge the gap to products and processes that are useful to practitioners working across industries. Evolving Research At Cloudera Fast Forward.

Deep Learning 59

Deep Learning Machine Learning Forecasting Uncertainty 59

Cloudera

DECEMBER 6, 2021

As a result of their accomplishments, Cloudera has named these organizations as finalists for the 2021 Cloudera Data Impact Awards in the “Cloud Innovation” category. . The post How Hybrid and Cloud-Based Architectures are Unlocking the Power of Data appeared first on Cloudera Blog. ExxonMobil. You can become a data hero too.

IoT 80

IoT Manufacturing Data-driven Machine Learning 80

DataRobot

SEPTEMBER 30, 2021

In this installment of our blog post series, we will explore the question of why trust is an essential component to any conversation around AI. To satisfy the needs of different stakeholders, it can be helpful to organize trust in an AI system into three main categories: 1. Trust in the performance of an AI/machine learning model.

Cost-Benefit 52

Cost-Benefit Machine Learning Interactive Modeling 52

Cloudera

JULY 21, 2021

This is the category for Cloudera customers whose IT administration provides the agility business requires, without putting organizations at risk, and who are embracing a pattern of technology adoption that prioritizes speed. Last year’s awards saw OVO crowned as Data Champions. Winning the award for OVO UnCover was a humbling experience.

Insurance 93

Insurance Data-driven Machine Learning Marketing 93

DataRobot

OCTOBER 26, 2021

This blog post will explore some of the biggest obstacles to earning trust in AI systems. DataRobot organizes the concept of trust in an AI system into three main categories: performance, operations, and ethics. Dimensions of trust. Transparency. As with all relationships, the first step to establishing trust is transparency.

Machine Learning 52

Machine Learning Modeling Technology IT 52

DataRobot

MARCH 9, 2021

This blog is meant to be a fun take on predicting Song and Record of the Year for the 63rd Annual GRAMMY Awards. Last year, Billie Eilish was the star of the show sweeping all four major categories (Song of the Year, Record of the Year, Album of the Year, and Best New Artist), an accomplishment only done once before.

Machine Learning 98

Machine Learning Recreation/Entertainment Modeling Data Science 98

Cloudera

JANUARY 24, 2022

This year, Cloudera is recognizing three organizations as finalists in the Data for Good category of its annual Data Impact Awards : Union Bank of the Philippines, Keck Medicine of USC, and the National Bone Marrow Donor Program. The post Data for Good appeared first on Cloudera Blog. You can become a data hero too.

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Data Lake Risk Machine Learning Data Collection 65