11,097 Companies

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There are 11,097 companies in the field of Artificial Intelligence on spotfolio that produce or deliver products, that utilize or research technologies or that are otherwise engaged in topics such as AI, Data, Intelligence, Machine-Learning, Artificial-Intelligence, Artificial, Learning, Machine .

Start-ups (6,046)

Early-stage companies (3,137)

Established companies (1,176)

The majority of these companies is located in the following countries.

United States (4,067)

United Kingdom (823)

India (652)

Canada (482)

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Data Semantics Data Semantics Pvt. Ltd.

early-stage

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Visualization - App and Data Modernization - Low Code Application Development - Artificial Intelligence - Internet of Things - Data Warehouse Modernization ...

Visualization - App and Data Modernization - Low Code Application Development - Artificial Intelligence - Internet of Things - Data Warehouse Modernization ...

- Resources Data Warehouse Modernization Data Semantics > Data Warehouse Modernization Data Warehouse is the backbone of your Data needs. The stronger ...

economical. Request a demo Modern Data Warehouses are proven to increase profitability. Organizations today generate a lot of data from an ERP and other supporting ...

astronomical rate. The first step towards valuing your data as an asset is to understand what different types of data is being generated, at what frequency, what ...

uses and at how often this data needs to be retrieved to provide business insights. We are adept at devising all-encompassing data warehousing strategies

Visualization - App and Data Modernization - Low Code Application Development - Artificial Intelligence - Internet of Things - Data Warehouse Modernization ...

Visualization - App and Data Modernization - Low Code Application Development - Artificial Intelligence - Internet of Things - Data Warehouse Modernization ...

Complicated Data of a Luxury Retail Group of Companies Turned Into Beautifully Visualized Data Data Semantics > Case Studies > How Complicated Data of a Luxury ...

Beautifully Visualized Data How Complicated Data of a Luxury Retail Group of Companies Turned Into Beautifully Visualized Data How Complicated Data of a Luxury Retail ...

Group of Companies Turned Into Beautifully Visualized Data August 27, 2019 Data Semantics Staff By Data Semantics Staff August 27, 2019 #comment-area 0 Shares ...

of the data to create the financial reports, was collected from Microsoft Dynamics AX 2012 ERP directly. Generating reports after pulling the data from

Locke Data

start-up

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Web Quotes

- Locke Data - Blog Data Manipulation in R - December 18, 2017 - steph - R - Community - fundamentals - r - tidyverse - data wrangling - data manipulation ...

manipulation Data Manipulation in R is now generally available on Amazon. > All book links will attempt geo-targeting so you end up at the right Amazon. Prices ...

readers are American and the price will be the equivalent in local currency. Data Manipulation in R is the second book in my R Fundamentals series that takes ...

this second book covers data wrangling. Introducing the core skill of working with tabular data, this book goes from importing data, to analysing it, and ...

tidyverse, I think it’s an accessible introduction for those new to analysing data. - Formats - What’s Next - What’s Covered - Awesome Graphics Formats You ...

in the series is on data visualisation. It’ll obviously include ggplot2 and leaflet but I’d like to hear from youu about the data viz packages you wish

- /blog/#page-top - Locke Data - Blog Introducing Python for data scientists - Pt2 This second part of the ‘Python for Data Scientists’ post talks about ...

of Python for data scientists. Part 1 of Python for Data Scientists talks about Python generally and can be found here. Python for data scientists Where ...

outside of data science. These include game development, graphics, web development, GIS, and control systems. A benefit of this is that data analytics undertaken ...

Here’s a data visualisation video that uses Python: Key packages for data science The packages mentioned in Part 1 are all used extensively for data science ...

science. Additional useful packages are: - Matplotlib - data visualizations - ggplot - graphical plotting based on R’s ggplot2 - Seaborn - statistical model ...

tests and data exploration Important things to learn Learning to use the previously mentioned packages is essential for using Python for data science.

Decisive Data

established

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Start a Project Every decision informed by data. We are in the business of making your business better, one data-driven decision at a time. Our analytics ...

experts build programs and solutions using our proven Plus Data Methodologies to make your data connected, accessible, and actionable. The goal? Support ...

their people flourish. Start a ProjectOur Methodologies FREE Art + Data eBook Art + Data is a design methodology that brings great design to dashboards. Download ...

analytics. Our expert team is leading the way with data-driven, value-based care. Virtual Art + Data Workshop Come learn our proven methodology to build ...

business.Build a modern, integrated data infrastructure. Present actionableinsights.Create intuitive dashboards that foster a data-driven culture. Uncover hidden ...

with data science. See Our Services Better results with proven methodologies. 1 Art + Data 2 Science + Data 3 Cloud + Data 4 Process + Data 5 Embedded

EVENTS & RESOURCES - Start a Project Decisive Data eBooks & Resources The services we offer at Decisive Data are powerful but complex. And while there’s ...

about the data strategy, and get you up to speed about how we execute our work. Build Your Data Strategy A Business-centered Approach to Data Strategy ...

success to chance. Work with Decisive Data to access top-shelf experts across the business intelligence pipeline, from data pipelining, visualization, and everything ...

Now Art + Data A Collection of Tableau Dashboards Art + Data is designed to start a more productive conversation around visual analytics. Data visualization ...

design ... Show more >> Download Now Science + Data An Overview of Data Science Fundamentals Data science is among the most misunderstood fields in ...

professional landscape. Despite fervent conversation around the power of data science, the discipline lacks meaningful definition. The lack of basic understanding

Waterway Data

start-up

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Learning · Data Science · See our project to track the spread of Coronavirus: ModelCovid.com We help you leverage AI, Machine Learning, and Data Science ...

happen using complex data sets Regression Analysis Fraud Detection Credit / Risk Modeling Pricing Forecasts More Info DATA SCIENCE & ANALYTICS ...

More Info ABOUT US Waterway Data is a consulting company based in Oakland, California -- started by entrepreneurs and data scientists who have seen first-hand ...

way they use their data. We are a global team of experts in Machine Learning, Natural Language Processing, Recommender Systems, and Data Science. Andrew ...

Silicon Valley veteran with 15 years experience using machine learning and data science to help companies innovate, including at Google, Check (acquired

Sprinkle Data Sprinkle Data Inc

start-up

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to select right Data Warehouse (2020) - Modern Data Architecture - Ecommerce case-study - Best practices for using Kinesis - Customer data platform - Best ...

- What is data integration and why does it matter - Snowflake Vs Redshift - 5 key differences - 3 Challenges with Data Integration - A Data Management ...

buy Data Pipeline - Everything you need to know about DataOps and its functionalities - DevOps vs DataOps - Top 5 ETL Tools For 2021 What is data integration ...

integration and why does it matter What is data integration and why does it matter? “Data” - A consolidation of valuable and useful records that is generated ...

task or function. Data is present everywhere, isn’t it? Almost every sector is rapidly upgrading over the technological front and data is one thing that ...

businesses have a wide range of data records on their business, they aren’t helpful due to the interoperability issues of the data. This interoperability problem

to select right Data Warehouse (2020) - Modern Data Architecture - Ecommerce case-study - Best practices for using Kinesis - Customer data platform - Best ...

- What is data integration and why does it matter - Snowflake Vs Redshift - 5 key differences - 3 Challenges with Data Integration - A Data Management ...

or buy Data Pipeline - Everything you need to know about DataOps and its functionalities - DevOps vs DataOps - Top 5 ETL Tools For 2021 A Data Management ...

Management Platform for all A Data Management Platform for all with Sprinkle data Data has grown to be the most integral part of any business, they influence ...

make real big business decisions. It is evident that most businesses collect data due to the increased usage of tools and softwares to easen everyday errands ...

business makes the most of it. However, there’s a growing trend of analysing data, say, the time period when most traffic hits in, the day of the week most

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