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

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 290

Strategy Experimentation Uncertainty Machine Learning 290

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

On the other hand, sophisticated machine learning models are flexible in their form but not easy to control. This blog post motivates this problem more fully, and discusses monotonic splines and lattices as a solution. In this blog post, we describe how we impose common-sense “shape constraints” on complex models.

Machine Learning 111

Machine Learning Deep Learning Modeling Interactive 111

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 73

Machine Learning Modeling Deep Learning Predictive Modeling 73

AWS Big Data

NOVEMBER 27, 2024

Within seconds of transactional data being written into Amazon Aurora (a fully managed modern relational database service offering performance and high availability at scale), the data is seamlessly made available in Amazon Redshift for analytics and machine learning. Name the file sources.yml , then choose Create.

Data Warehouse 111

Data Warehouse Analytics Testing Sales 111

Octopai

JULY 17, 2022

You’ve probably noticed that we talk a lot about data lineage on this blog. When considering software to automate data mapping, identify its approach and keep the strong and weak areas of that approach in mind as you evaluate your data environment and its data mapping needs. So what is the difference between data mapping and data lineage?

Machine Learning 98

Machine Learning Visualization Enterprise Software 98

Alation

FEBRUARY 20, 2020

While this requires technology – AI, machine learning, log parsing, natural language processing,metadata management, this technology must be surfaced in a form accessible to business users – the data catalog. The Forrester Wave : Machine Learning Data Catalogs, Q2 2018. A New Market Category.

Machine Learning 52

Machine Learning Marketing Reporting Metadata 52

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 107

Machine Learning Deep Learning IT 107

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

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 111

Data Lake Machine Learning Big Data Data-driven 111

IBM Big Data Hub

JULY 6, 2023

To keep up with the pace of consumer expectations, companies are relying more heavily on machine learning algorithms to make things easier. This blog post will clarify some of the ambiguity. How do artificial intelligence, machine learning, deep learning and neural networks relate to each other?

Deep Learning 56

Deep Learning Machine Learning Unstructured Data Modeling 56

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 143

Deep Learning Machine Learning Consulting Modeling 143

datapine

JANUARY 6, 2022

While there are several different types of processes that are implemented based on individual data nature, the two broadest and most common categories are “quantitative analysis” and “qualitative analysis”. The varying scales include: Nominal Scale: non-numeric categories that cannot be ranked or compared quantitatively.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

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 Metrics ROI 179

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

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

Octopai

APRIL 19, 2021

His articles on TDWI deal with advice for analysts, customer data profiling, master data management technology, and machine learning. . This blog focuses on business analysis, strategy, enterprise data management, and upcoming events. IRM UK Connects. TDAN stands for The Data Administration Newsletter.

Metadata 59

Metadata Management Business Intelligence Data Governance 59

AWS Big Data

OCTOBER 14, 2024

Amazon EMR provides a big data environment for data processing, interactive analysis, and machine learning using open source frameworks such as Apache Spark, Apache Hive, and Presto. Amazon Redshift is used to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes.

Metadata 105

Metadata Data Lake Modeling Data Warehouse 105

Occam's Razor

MARCH 30, 2017

Machine Learning | Marketing. Machine Learning | Analytics. People tend to use these phrases almost interchangeably: Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning. Most Deep Learning methods involve artificial neural networks, modeling how our bran works.

Marketing Analytics 166

Marketing Analytics Marketing Analytics Deep Learning 166

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

Cloudera

OCTOBER 25, 2023

The event invites individuals or teams of data scientists to develop an end-to-end machine learning project focused on solving one of the many environmental sustainability challenges facing the world today. This isn’t your ordinary hackathon — it’s meant to yield real, actionable climate solutions powered by machine learning.

Machine Learning 102

Machine Learning Forecasting Data-driven Data Science 102

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 105

B2B Machine Learning Big Data Data-driven 105

IBM Big Data Hub

OCTOBER 16, 2023

Machine learning (ML)—the artificial intelligence (AI) subfield in which machines learn from datasets and past experiences by recognizing patterns and generating predictions—is a $21 billion global industry projected to become a $209 billion industry by 2029.

Machine Learning 48

Machine Learning Marketing Forecasting Modeling 48

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 Data Science Marketing Reporting 105

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

datapine

MARCH 25, 2022

Predictive analytics : This method uses advanced statistical techniques coming from data mining and machine learning technologies to analyze current and historical data and generate accurate predictions. First, you would examine what categories of clothing are driving the most profits.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

Smart Data Collective

SEPTEMBER 8, 2021

It is considered a “complex to license and expensive tool” that often overlaps with other products in this category. Azure Data Factory also supports Spark, Hadoop, and Machine Learning as transformation steps. This blog talks about the basics of ETL and ETL tools. Conclusion.

Data Warehouse 126

Data Warehouse Data Integration Marketing Software 126

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 90

Digital Transformation Cost-Benefit Data Lake Machine Learning 90

Cloudera

DECEMBER 21, 2020

One category that highlighted some fantastic examples of customers doing just that, was The Enterprise Data Cloud award. Nevertheless, learning about the success stories of our finalists has made us feel excited for what the future holds. . This helps inform decision making and provides confidence in the data that is being presented.

Enterprise 96

Enterprise Data-driven Data Architecture Machine Learning 96

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 118

Data Warehouse Machine Learning Data Integration Data-driven 118

Domino Data Lab

JULY 15, 2021

Key categories of tools and a few examples include: Data Sources. Languages are typically broken into two categories, commercial and open source. TensorFlow is an open source framework for machine learning that is particularly focused on training and inference of deep neural networks. They range from flat files (e.g.

Data Science 145

Data Science Visualization Enterprise Modeling 145

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

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 Deep Learning Risk 119

Cloudera

JANUARY 3, 2019

On January 3, we closed the merger of Cloudera and Hortonworks — the two leading companies in the big data space — creating a single new company that is the leader in our category. Every large company we work with is eager to adopt machine learning and AI, but unsure how to do so. This year, we’re making a big one.

Machine Learning 75

Machine Learning IoT Data Warehouse Enterprise 75

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 98

Data Lake Data Governance Machine Learning Cost-Benefit 98

datapine

NOVEMBER 13, 2019

That way, you can introduce categories for each supplier and identify which ones keep a good relationship with your company on the one hand, and on the other, which need termination or replacement. Last, but not least: repeat & learn. We will see this in our procurement report sample below in the article. Group your suppliers.

Reporting 158

Reporting KPI Cost-Benefit Metrics 158

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