CIO Business Intelligence

NOVEMBER 29, 2022

In a bid to help enterprises offer better customer service and experience , Amazon Web Services (AWS) on Tuesday, at its annual re:Invent conference, said that it was adding new machine learning capabilities to its cloud-based contact center service, Amazon Connect. Cloud Computing, Enterprise Applications, Machine Learning

Machine Learning 105

Machine Learning Forecasting Recreation/Entertainment Metrics 105

Smart Data Collective

NOVEMBER 16, 2022

Machine learning technology is one of the new technologies that has drastically changed the state of video editing. Machine learning also makes it easier for video editors to create more engaging videos by utilizing unique features that were not previously possible. Keep reading to learn more.

Machine Learning 106

Machine Learning Marketing Software Technology 106

Smart Data Collective

OCTOBER 23, 2021

Advances in AI and machine learning technology have been important in setting the trend for bitcoin. They are discovering that machine learning technology can help them achieve this goal. Using Machine Learning Can Be Very Valuable for Cryptocurrency Miners and Traders Alike. What is Cryptocurrency?

Machine Learning 133

Machine Learning Cost-Benefit Technology Forecasting 133

Smart Data Collective

NOVEMBER 25, 2020

Machine learning is transforming the financial sector more than anybody could have ever predicted. One of the most significant changes brought by advances in machine learning is with the loan underwriting process. Towards Data Science analyzed several dozen papers on the use of machine learning in loan scoring.

Machine Learning 144

Machine Learning Risk Predictive Analytics Forecasting 144

Analytics Vidhya

DECEMBER 21, 2021

This article was published as a part of the Data Science Blogathon Introduction Text classification is a machine-learning approach that groups text into pre-defined categories.

Machine Learning 400

Machine Learning Data Science Publishing Analytics 400

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 51

Machine Learning Marketing Forecasting Modeling 51

Smart Data Collective

SEPTEMBER 8, 2021

Machine learning has made app development much easier than ever, even for people without previous coding experience. With machine learning, app development has become streamlined so much that, most people can use software to create apps without previous coding knowledge. Where Machine Learning and App Building Meets.

Machine Learning 98

Machine Learning Software Testing IT 98

CIO Business Intelligence

SEPTEMBER 26, 2023

The new platform would alleviate this dilemma by using machine learning (ML) algorithms, along with source data accessed by SAP’s Data Warehouse Cloud. This year, the company was honored as a winner in the “Cutting Edge Genius” category at the SAP Innovation Awards.

Machine Learning 102

Machine Learning Forecasting Measurement Data Warehouse 102

Analytics Vidhya

APRIL 6, 2022

EDA can be divided into two categories: graphical analysis and non-graphical analysis. EDA is a critical component of any data science or machine learning process. Introduction Exploratory Data Analysis is a method of evaluating or comprehending data in order to derive insights or key characteristics.

Machine Learning 348

Machine Learning Data Science Analytics Visualization 348

Analytics Vidhya

FEBRUARY 22, 2022

Introduction Every supervised machine learning technique basically solves either classification or regression problems. Classification is a kind of technique where we classify the outcome into distinct categories whose range is usually finite. This article was published as a part of the Data Science Blogathon.

Machine Learning 272

Machine Learning Data Science Publishing Analytics 272

Smart Data Collective

SEPTEMBER 30, 2021

But what if machine learning could be used beyond niche or individual contexts? Below, we’ll be exploring a few of the ways that machine learning can be used for improving our cities and making them smarter overall. There is growing evidence big data and machine learning can help save the environment.

Machine Learning 120

Machine Learning Cost-Benefit Optimization Forecasting 120

Dataiku

APRIL 6, 2020

In the last post in the Top Machine Learning Algorithms: How They Work (In Plain English!) series, we went through a basic overview of machine learning and introduced a few key categories of algorithms and explored the most basic one, linear models. Now, let’s dive into the next category, tree-based models.

Machine Learning 66

Machine Learning Modeling 66

Octopai

JULY 17, 2022

Automated data mapping tools come in several varieties: Data mapping software that provides a drag-and-drop interface with reusable parts, enabling data engineers or citizen integrators to speed up their process of matching fields and coding transformations Automated tools that independently suggest data mapping using machine learning techniques, leaving (..)

Machine Learning 84

Machine Learning Visualization Enterprise Software 84

Rocket-Powered Data Science

JULY 19, 2023

The criticality of these synergies becomes obvious when we recognize analytics as the products (the outputs and deliverables) of the data science and machine learning activities that are applied to enterprise data (the inputs).

Analytics 196

Analytics Data-driven Machine Learning Enterprise 196

David Menninger's Analyst Perspectives

OCTOBER 6, 2023

Drawing on our Benchmark Research, we apply a structured methodology built on evaluation categories that reflect the real-world criteria incorporated in a request for proposal to Analytics and Data vendors supporting the spectrum of Augmented Analytics.

Analytics 261

Analytics ROI Marketing Management 261

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. Introduction Machine learning models often behave unpredictably, as data scientists would be the first to tell you. A more general approach is to learn a Generalized Additive Model (GAM).

Machine Learning 108

Machine Learning Deep Learning Modeling Interactive 108

Smart Data Collective

DECEMBER 5, 2019

In June, Aviation Today published a great article on the state of machine learning and AI in the airline industry. The article showed that machine learning and AI are helping the industry become more lucrative in the 21 st Century. Machine Learning is the Key to Saving the Ailing Airline Industry.

Machine Learning 64

Machine Learning Cost-Benefit Strategy Marketing 64

Smart Data Collective

DECEMBER 23, 2019

Author Beverly Rich has said that AI and machine learning will be integral to contracts in the 21 st Century. Machine Learning is Redefining Business Contracts as We Head into 2020. Machine learning is going to have an even more important role in these processes in the future. Documentation.

Machine Learning 60

Machine Learning Management ROI Risk 60

CIO Business Intelligence

APRIL 19, 2024

According to a Gartner survey conducted in late 2023, 42% of CIOs planned to deploy generative AI tools by the third quarter of this year, with 55% planning to roll out some other type of AI or machine learning in the same timeframe. Another big change from 2023 comes in the devices category, which saw a 9.1% growth in 2023.

IT 110

IT Software Cost-Benefit ROI 110

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

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

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

Smarten

JANUARY 24, 2019

What is Automated Machine Learning? With the right tools, today’s average business user can become a Citizen Data Scientist , using data integrated from various sources to learn, test theories and make decisions. Take for example, the task of performing predictive analytics.

Machine Learning 40

Machine Learning Predictive Modeling Predictive Analytics Forecasting 40

CIO Business Intelligence

NOVEMBER 3, 2023

For example, AI can quickly answer: what is the best strategy for optimizing savings in a rising market for a particular category? One scenario in which AI can help is with a category or sourcing manager at a data center who needs to run a request for proposal with over a dozen suppliers, some they’ve worked with before.

Digital Transformation 124

Digital Transformation Risk Management Risk Machine Learning 124

CIO Business Intelligence

JUNE 2, 2022

The report, based on survey responses from tech decision makers in banks and their technology vendors, categorizes 30 different technologies into three main categories: “hot,” “on-the-radar,” and “hype.”. Almost 33% of respondents claim that machine learning can lead to improved customer experience.

Predictive Analytics 145

Predictive Analytics Technology Analytics Machine Learning 145

KDnuggets

SEPTEMBER 13, 2022

This article will discuss a few different types of creative machine learning categories and examples of each.

Modeling 108

Modeling Machine Learning 108

O'Reilly on Data

MAY 14, 2020

This role includes everything a traditional PM does, but also requires an operational understanding of machine learning software development, along with a realistic view of its capabilities and limitations. In our previous article, What You Need to Know About Product Management for AI , we discussed the need for an AI Product Manager.

Management 363

Management Experimentation B2B Machine Learning 363

Analytics Vidhya

APRIL 15, 2021

SUPERVISED LEARNING Before making you understand the broad category of. The post Understanding Supervised and Unsupervised Learning appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon.

Data Science 361

Data Science Publishing Analytics Structured Data 361

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. My favorite approach to TAM creation and to modern data management in general is AI and machine learning (ML). Before we start, I have a few questions for you.

Strategy 266

Strategy Machine Learning Metadata Knowledge Discovery 266

O'Reilly on Data

AUGUST 8, 2023

The number of searches for Machine Learning itself held steady, though it arguably declined slightly when ChatGPT appeared. Removing ChatGPT and Machine Learning from the previous graph makes it easier to see trends in the other popular search terms: It’s mostly “up and to the right.”

Machine Learning 182

Machine Learning Modeling Software IT 182

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 97

Machine Learning Forecasting Data-driven Manufacturing 97

Analytics Vidhya

NOVEMBER 29, 2021

Introduction Consider the following scenario: you are a product manager who wants to categorize customer feedback into two categories: favorable and unfavorable. This article was published as a part of the Data Science Blogathon. Or As a loan manager, do you want to know which loan applications are safe to lend to and which ones […].

Data Science 329

Data Science Publishing Management Analytics 329

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 82

Experimentation Modeling Deep Learning Data-driven 82

Analytics Vidhya

AUGUST 13, 2022

The first task you do with each ticket is to classify it into one of the categories you […]. Introduction Suppose you are working in an IT firm as a support desk specialist and receive hundreds of support tickets you have to handle daily. The post Step-by-step Explanation of Text Classification appeared first on Analytics Vidhya.

Data Science 269

Data Science Publishing Analytics IT 269

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

Rocket-Powered Data Science

FEBRUARY 15, 2023

A business-disruptive ChatGPT implementation definitely fits into this category: focus first on the MVP or MLP. Most of these rules focus on the data, since data is ultimately the fuel, the input, the objective evidence, and the source of informative signals that are fed into all data science, analytics, machine learning, and AI models.

Strategy 289

Strategy Experimentation Uncertainty Machine Learning 289

CIO Business Intelligence

JANUARY 19, 2024

The company has also achieved in some countries a waste reduction of finished goods in the dairy products category of 35%. Yet, its existing processes were hampered by the company’s legacy manual solutions and systems. As a result, the company was able to check off that wish list.

Forecasting 116

Forecasting IT Digital Transformation Machine Learning 116