8d29910a-db91-4f73-b390-b8392dd800ff.png

We were founded in 2005 in a tiny apartment in Bucharest, Romania as DeskOver.

Fittingly, it was a customer who, in 2012, first saw the immense possibilities for us in the fledgling RPA market. Our desktop automation product launched in 2013. In 2015, we introduced our enterprise platform along with our new name.

Today, UiPath is the fastest-growing enterprise software company in history with scores of offices, thousands of employees, partnerships with the world’s best consulting and BPO firms, a **500,000-strong developer community**, and **5MM+ robots at work** in over **5,000 global enterprises.**

Our mission is to deliver the leading Robotic Process Automation platform to our clients for an automation first mindset.

We build software robots that automate repetitive processes. Our software robots take on the tedious, mind-numbing work and free people to do the more stimulating, creative work worth doing.

But no matter how much we’ve grown, one thing hasn’t changed. We’re still building a company we love to work for

Integrations Lead

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Ever wanted to start a process from your phone, smart watch, or Amazon Echo? How about tell a robot when something important happens in Salesforce or SAP?

With Node-RED, the entire Internet of Things is now at your disposal when building workflows. With an easy drag-and-drop interface that treats everything–from Slack to a smart washing machine–as a node within a network, you can connect together every piece of your digital ecosystem, including UiPath. We provide two nodes for you to use:

1.  Request: A wrapper of the full Orchestrator API allowing any request to be made. Create assets, add to queues, check robot status, etc.
2.  Start Job: Start a job in 1 step. Supports input arguments as of Orchestrator v2018.3.

So go ahead and tell Siri to run that report you forgot about before your boss gets in; have a smart barometer play Purple Rain every time the pressure drops; let your imagination fly!

NOTES:

*   Node-RED is a free 3rd-party platform that hosts this Orchestrator connector. Click the **External Link** button for instructions on how to install Node-RED.
*   For further details on the connector itself, please visit [https://integrations.uipath.com/docs/node-red](https://integrations.uipath.com/docs/node-red).

Orchestrator in overdrive. Webhooks, Custom UIs, IoT. Node-RED is the bridge that connects UiPath to the digital world over.

This activity provides methods for:

*   Starting K2 workflows
*   Passing arguments to K2 workflows
*   Pulling workflow configurations right into the activity at design-time via an easy to use wizard

For complete documentations please visit [this link](https://integrations.uipath.com/v1.0/docs/k2).

Interact directly with workflows on the K2 BPM platform.

このアクティビティは 3 つのコンポーネントから構成されています。

1. 一般的なトーンを分析: メール、レビュー、トランスクリプションなどの文章に含まれる感情を読み取り、書いた人が次のどの状態にいるかを予測します。

*   幸福
*   悲しみ
*   怒り
*   恐れ
*   分析的
*   自信
*   ためらい

2\. 顧客エンゲージメントを分析: コールセンターにおいて、担当者が礼儀正しく対応し、顧客も満足するよう会話をモニタリング。会話中でどのような感情が現れるかを特定します。

*   悲しみ
*   失望
*   満足
*   興奮
*   丁寧
*   無礼
*   共感

3\. Personality Insights (性格分析): メール、メッセージ、SNS など、煩雑なデジタルコミュニケーションから、その人の姿を解き明かします。

*   性格的特徴
*   価値観
*   ニーズ
*   消費傾向
*   日々の行動

[アクティビティについて詳しくはこちらのドキュメンテーションをお読みください。](https://integrations.uipath.com/v1.0/docs/ibm-empathy-pack)

IBM Watson を使って、ロボットに人間的感覚を追加できます。

This activity set has 3 components:

1\. Analyze General Tone: Study the emotion in written communications like emails, reviews, transcripts and predict whether the author is:

*   Happy
*   Sad
*   Angry
*   Fearful
*   Analytical
*   Confident
*   or Tentative.

2\. Analyze Customer Engagement: Monitor conversations between a call center agent and a customer in order to ensure agent decorum and customer satisfaction. Identify these emotions in any conversation:

*   Sad
*   Frustrated
*   Satisfied
*   Excited
*   Polite
*   Impolite
*   Sympathetic

3\. Personality Insights: Reveal--from potentially noisy digital communications such as email, texts, and social media posts--a complete profile of the author that contains:

*   Personality Traits
*   Values
*   Needs
*   Consumption Preferences
*   Daily Behaviors

[Click here for documentation on the activities.](https://integrations.uipath.com/v1.0/docs/ibm-empathy-pack)

Harness the brilliance of IBM Watson to give your robots a more human side

DataRobot's process is simple, but powerful:

Upload a spreadsheet of data, select a target feature, and DataRobot quickly fits hundreds of machine learning models to your data. Deploy the best one and make your UiPath robots even smarter!

This activity set has two components:

_**Create Project -**_ Builds a new project on the DataRobot server by uploading a tabular data file (.csv, for example) and specifying a target feature. ML models are then automatically fitted to this data set and trained to predict the target feature.

_**Predict -**_ Once an ML model has been deployed on the DataRobot server, this activity uses it to predict the target feature based on a single data set.

**Activities are localized in Japanese, French, and Russian.**

DataRobot のプロセスはシンプルですが高機能です。

データの入ったスプレッドシートをアップロードしてターゲットの機能を指定すると、すぐさま数百の機械学習モデルを DataRobot がデータに適用します。その中から最も適したモデルを選んで、さらに賢い UiPath ロボットを作りましょう。

このアクティビティは 2 つのコンポーネントで構成されています。

**プロジェクトを作成 -** DataRobot サーバー上に表形式のデータ (.csv など) をアップロードして機能を指定し、新規プロジェクトを作成します。機械学習モデルがデータに適用され、ターゲット機能を予測するようトレーニングされます。

**予測 -** 機械学習モデルが Data Robot サーバーにデプロイされると、それを使用してアクティビティは単一のデータセットに基づいたターゲット機能の予測します。

**アクティビティは、日本語、フランス語、ロシア語にローカライズされています。**

[アクティビティについて詳しくは、ドキュメンテーションをご覧ください。](https://integrations.uipath.com/docs/datarobot)

簡単に使えるマシンラーニング

**Bonitasoft’s Bonita platform is used by multidisciplinary technical teams to create enterprise-grade applications that join customized user interfaces and business processes (connecting processes, systems, humans, and robots) for better user experiences. It fully supports process automation beginning with design, through implementation, execution, monitoring, and optimization.**

Ensure end-to-end digital transformation. Interact directly with processes on the Bonita platform through activities and take advantage of the native UiPath connectivity, for both cloud and on-premise Orchestrator, included in the [Bonita Studio Enterprise edition](https://www.bonitasoft.com).

This package consists of three activities:

Create Case: Start a BPM process instance on your Bonita server.

Execute User Task: Assign users and complete individual tasks with a process instance.

Send BPM Message: Send messages and data directly into a BPM process.

[Click here for more information on Bonitasoft's native connector to UiPath Orchestrator.](https://documentation.bonitasoft.com/)

[Click here for complete documentation on the activities.](https://integrations.uipath.com/docs/bonitasoft)

The world's largest open-source BPM provider meets UiPath

Activities are the fundamental building blocks of process automations and all contain the same basic structure and boilerplate code. Why waste the time writing all this yourself when it can be auto-generated for you?

  

The UiPath Activity Creator allows you to easily create custom activities that work immediately in UiPath Studio. The new extension is entirely wizard-based, meaning you simply fill in fields like activity name, description, properties, types, and the entirety of the activity code is generated, including:

  

Activities (Scopes, Simple)

Designers (UI)

Properties

Icons :) :)

Bindings

Validations

Localization files

Package Metadata

  

From there, just fill in the execution logic telling your activity what to do and you're done! If you know C#, you can now create UiPath activities!

  

See our NEW guide on [How to Create Activities](https://docs.uipath.com/integrations/docs/how-to-create-activities) to get started:

  

[https://docs.uipath.com/integrations/docs/how-to-create-activities](https://docs.uipath.com/integrations/docs/how-to-create-activities)

A Visual Studio extension that creates custom activities for you in minutes!

[Upwire](https://upwire.com/) is a cloud-based platform that enables users to build intelligent customer communication workflows (i.e., templates), including SMS chatbots for customer service, two-factor authentication with temporary PINs via SMS, and interactive voice response (IVRs) for call menus.

This package consists of 4 activities:

**Upwire Scope** - Establishes an authenticated connection between UiPath and your Upwire account using your account credentials.

**Send SMS** - Sends a message via SMS. Has the option to generate and include a numeric pin in the message.

**Start Job** - Executes a communication workflow on Upwire's platform.

**Stop Job** - Cancels a workflow on Upwire's platform.

[Click here for documentation on the activities](https://docs.uipath.com/integrations/docs/upwire)

SMS, Voice, IVR, Email. The easiest way to create amazing customer conversations.

Amazon Rekognition Image is an image recognition service that detects objects, scenes, faces, text, and inappropriate content in images. You can also use the service to search and compare faces.

  

The package contains 9 activities:

*   Amazon Scope - Establishes an authenticated connection between UiPath and your AWS Account using your IAM credentials.
*   Add Face - Detects faces in an image and then adds them to a collection.
*   Analyze Face - Detects facial features such as a beard, glasses, facial emotions, etc.
*   Compare Faces - Compares up to 100 faces in two images.
*   Create Collection - Creates a storage container for known faces, so they can be matched to other images.
*   Identify Face - Searches an established collection of faces for one that matches the input image.
*   Detect Labels - Detects real-world objects within an image, such as flowers, dogs, clouds.
*   Detect Text - Detects words within an image.
*   Safe Search - Detects unsafe content such as nudity and suggestive material.

Image analysis and facial recognition powered by Amazon's Rekognition service

Introduction to the Amazon Rekognition Activities Package
---------------------------------------------------------

The Amazon Rekognition Activities Package extends the capabilities of UiPath Studio by integrating the robust Amazon Rekognition image service. Using the Amazon Rekognition Image APIs, this activities package provides you with the following image analysis capabilities:

1.  Face Detection, Identification, and Comparison
2.  Distinct Object Identification (Label Detection)
3.  Unsafe Content Detection
4.  Text Detection
5.  Creation of Face Collections

Integrating Amazon Rekognition with UiPath
------------------------------------------

The Amazon Rekognition Activities Package facilitates seamless interaction between UiPath and Amazon Rekognition by establishing an authenticated connection to your AWS account through the [Amazon Scope](https://docs.uipath.com/activities/other/latest/legacy-integrations/amazon-rekognition-amazon-scope) activity. Once this connection is established, you can leverage the other activities within the package to automate various tasks involving the Amazon Rekognition Image service.

### Using Amazon Rekognition Activities

Each Amazon Rekognition activity invokes a specific Amazon Rekognition Image API action, utilizing user-defined input properties (i.e., request parameters). Upon successful execution, the activity delivers relevant response elements (i.e., output properties) that can be used as inputs in subsequent activities, queued for further processing, and more.

### Preparing for Project Development

Before you build your first project, complete the steps in the [Setup](https://docs.uipath.com/activities/other/latest/legacy-integrations/amazon-rekognition-setup) guide.

Following the setup, the [Quickstart](https://docs.uipath.com/activities/other/latest/legacy-integrations/amazon-rekognition-quickstarts) guides offer step-by-step instructions to create samples of the activities to validate the connection to your AWS account and facilitate familiarity with the input/output properties.

Activities in the Amazon Rekognition Activities Package
-------------------------------------------------------

The Amazon Rekognition Activities Package encompasses the following activities:

### [Amazon Scope](https://docs.uipath.com/activities/other/latest/legacy-integrations/amazon-rekognition-amazon-scope)

Establishes an authenticated connection between UiPath and your AWS Account using your [IAM](https://docs.aws.amazon.com/IAM/latest/UserGuide/introduction.html) credentials.

### [Add Face](https://docs.uipath.com/activities/other/latest/legacy-integrations/amazon-rekognition-add-faces)

Detects faces in the input image and subsequently adds them to the specified collection. For each detected face, the activity furnishes an array of the added faces.

### [Analyze Face](https://docs.uipath.com/activities/other/latest/legacy-integrations/amazon-rekognition-analyze-face)

Identifies the 100 largest faces in the input image and provides an array of face detail objects for each detected face.

### [Compare Faces](https://docs.uipath.com/activities/other/latest/legacy-integrations/amazon-rekognition-compare-faces)

Compares the most prominent face in the source input image with each of the 100 largest faces detected in the target input image.

### [Create Collection](https://docs.uipath.com/activities/other/latest/legacy-integrations/amazon-rekognition-create-collection)

Stores information about detected faces in a server-side container (i.e. collection). You can use the facial information that's stored in a collection to search for known faces in images using the **Identify Face** activity.

### [Identify Face](https://docs.uipath.com/activities/other/latest/legacy-integrations/amazon-rekognition-identify-face)

Initially detects the largest face in the input image, then searches the specified collection for matching faces. The activity assesses the features of the input face and outputs an array of faces that match the input image.

### [Detect Labels](https://docs.uipath.com/activities/other/latest/legacy-integrations/amazon-rekognition-detect-labels)

Identifies instances of real-world objects within an input image, including items like flowers, trees, and tables; events such as weddings, graduations, and birthday parties; and concepts like landscapes, evenings, and nature.

### [Detect Text](https://docs.uipath.com/activities/other/latest/legacy-integrations/amazon-rekogntion-detect-text)

Detects the words, lines, and text found in the input image.

### [Safe Search](https://docs.uipath.com/activities/other/latest/legacy-integrations/amazon-rekogntion-safe-search)

Detects unsafe content such as explicit nudity and suggestive material within your input image.

Amazon Rekognition is an image recognition service that detects objects, scenes, faces, text, and inappropriate content in images. You can also use the service to search and compare faces.

This is not a standalone package, but is used by other Amazon activities to authenticate to AWS. Currently referenced by UiPath's [Amazon Rekognition package](https://go.uipath.com/component/amazon-rekognition).

A scope that authenticates all Amazon activities

Scope Activity for AWS Services Introduction
--------------------------------------------

Unlike a standalone package, this Scope Activity acts as a central hub, orchestrating the authentication processes for various Amazon activities, and fostering a unified approach to connect with the vast array of AWS services. It simplifies and streamlines the authentication process, making it easier and more efficient for users to access the AWS cloud.

A scope activity that authenticates all Amazon activities.

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