Robotic Process Automation (RPA)

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Robotic process automation (RPA) is a software technology that allows businesses to automate repetitive, rule-based tasks. RPA software robots, or "bots," can mimic human actions by interacting with computer systems and software applications. This can free up human employees to focus on more strategic and value-added tasks. RPA is a powerful tool that can be used to automate a wide variety of tasks, including:

  • Data entry
  • Data extraction
  • Data validation
  • Report generation
  • Workflow automation
  • Compliance checks
  • Customer service
  • IT support
  • Email management

AI is being used with RPA in a number of ways, including:

  • Automating tasks that require human judgment: AI can be used to automate tasks that require human judgment, such as identifying fraud or making predictions. This can free up human employees to focus on more strategic and value-added tasks.
  • Making RPA more efficient: AI can be used to make RPA more efficient by automating tasks that are currently done manually, such as data extraction and processing. This can save time and resources, and it can also help to ensure that tasks are done accurately and consistently.
  • Improving the accuracy of RPA: AI can be used to improve the accuracy of RPA by identifying and correcting errors. This can help to ensure that RPA is producing accurate and reliable results.
  • Expanding the capabilities of RPA: AI can be used to expand the capabilities of RPA by enabling it to perform tasks that were previously not possible, such as understanding natural language and making decisions based on incomplete or uncertain information. This can make RPA a more powerful tool for automating a wider range of tasks.

Tools

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Jane Fulton Suri defines in her book as “Thoughtless Acts” actions that we do without thinking to adapt, exploit, and react to things in our environment. Those actions underline unconscious behavior that are used to comply with a world not perfectly suited to our needs.


IFTTT

IFTTT's AI tools take your existing automations further, generating creative content like social media posts or blog outlines, summarizing key points, and even crafting witty responses to prompts. Think of it as adding a smart assistant to your routines, saving you time and effort while adding a touch of AI magic to your automated workflows.

  • Smart Automation:
    • AI-Sync Integrations: Control smart home devices like fans and lights based on triggers from other systems like Ecobee or voice assistants.
    • Predictive Automations: Trigger actions based on anticipated events, like sending a birthday message before the day even arrives.
    • Personalized Workflows: Tailor your automations to your specific needs and preferences using AI-powered insights and suggestions.
  • Content Creation:
    • AI Content Creator: Generate blog drafts, outlines, social media posts, and even video scripts based on keywords or prompts.
    • AI Summarizer: Condense articles, emails, or meeting notes into concise, easy-to-understand summaries.
    • AI Social Creator: Craft witty and engaging replies to social media mentions, saving you time and effort.
  • Data Analysis:
    • AI-powered Triggers: Set triggers based on extracted data points, like stock prices reaching a certain threshold or changes in weather conditions.
    • Automatic Insights: Generate reports and summaries from connected data sources, providing you with actionable information.
    • Pattern Recognition: Identify trends and patterns in your data to automate future actions or optimize existing workflows.


OutSystems

OutSystems infuses AI throughout its platform, offering pre-built components and AI-powered suggestions to simplify building intelligent apps, from code analysis to generating content based on user input.

  • AI Assist: Offers intelligent recommendations for data models, UI elements, and integration points, accelerating development.
  • AI Hub: Provides pre-built AI components like sentiment analysis, image classification, and anomaly detection, easily integrated into applications.
  • Virtual AI Assistant integration: Enables building chatbots and voice assistants within applications.


Appian

  • Appian ... Artificial Intelligence

Appian offers pre-built AI skills and low-code tools to seamlessly integrate AI capabilities like document understanding, image recognition, and even text generation into your business applications, transforming them into intelligent decision-making engines.

  • Intelligent Document Processing (IDP): Appian's IDP uses machine learning to automatically extract and analyze data from documents like invoices, contracts, and forms. This eliminates manual data entry and streamlines data capture within process automation workflows.
  • Predictive Analytics: Appian's AI models can predict future events and trends based on historical data. This enables proactive interventions to prevent issues before they arise and optimize resource allocation within processes.
  • Decision Modeling: Appian provides tools for building and deploying decision models that automate complex decisions based on pre-defined rules and machine learning models. This improves decision consistency and efficiency within your processes.
  • AI Copilot: Appian's AI Copilot is a design assistant that leverages machine learning to suggest optimal process design elements, identify potential bottlenecks, and recommend improvements. This accelerates process development and optimizes efficiency.
  • Integration with external AI services: Appian can integrate with various AI services like Google Cloud AI, Microsoft Azure AI, and Amazon SageMaker, expanding its capabilities and allowing you to leverage specific AI features within your automation workflows.


Power Apps (Microsoft)

Power Apps uses AI through AI Copilot, which helps build apps by understanding natural language descriptions, and AI Builder, which adds pre-trained AI models for tasks like sentiment analysis or text extraction directly within your apps.

  • AI Builder: Offers pre-built AI models for tasks like sentiment analysis, image recognition, and text classification.
  • Power Automate: Integrates with Azure AI services for more advanced AI capabilities.
  • Cognitive Services: Provides access to a wide range of Azure AI services like speech recognition, translation, and computer vision.


Salesforce Platform

Salesforce infuses AI through its "Einstein" suite, offering pre-built tools like predictive lead scoring and chatbot assistants to automate tasks, gain data insights, and personalize customer experiences.

  • Einstein AI: Salesforce's native AI platform offering pre-built AI models for tasks like lead scoring, anomaly detection, and customer sentiment analysis.
  • Predictive scoring and recommendations: Uses AI to predict customer behavior and recommend personalized actions.
  • Natural Language Processing (NLP): Enables building chatbots and other applications that understand and respond to natural language.


Mendix

Offers AI-powered features like chatbots and anomaly detection, but with less focus than other leaders.

  • AI-powered microflows and nanoflows: building blocks for automation, microflows and nanoflows, can be enhanced with AI components like decision trees, machine learning models, and pre-built AI connectors. This allows you to automate complex decisions and tasks within your processes.
  • Intelligent document processing (IDP): IDP capabilities use AI to automatically extract data from documents like invoices, contracts, and forms. This eliminates manual data entry and streamlines data capture within process automation workflows.
  • Predictive analytics and recommendations: offers pre-built AI models and connectors for tasks like anomaly detection, predictive maintenance, and next-best-action recommendations. This empowers you to anticipate issues, optimize resource allocation, and personalize user experiences within your processes.
  • Chatbots and virtual assistants: allows you to build AI-powered chatbots and virtual assistants that can automate routine tasks, answer user questions, and guide users through processes. This improves user experience and reduces workload for human agents.
  • Low-code integration with AI services: seamlessly integrates with various AI services like Google Cloud AI, Azure AI, and Amazon SageMaker. This opens up a vast range of AI capabilities for your process automation needs.



Retool

Primarily focused on developer tools, but offers limited AI capabilities like data visualization and anomaly detection.

  • Real-time data visualization and anomaly detection: AI features can analyze data streams from your processes in real-time, identify anomalies, and trigger alerts to notify your team. This helps you proactively catch issues before they escalate.
  • Automated data transformations: allows you to build custom data workflows using JavaScript and integrate AI libraries for tasks like data cleaning, normalization, and feature engineering. This empowers you to prepare and analyze data for process optimization.
  • Machine learning model integration: lets you connect your own machine learning models or leverage pre-built AI services to perform tasks like predictions, recommendations, and sentiment analysis within your process automation workflows.
  • API-driven automation: focus on APIs allows you to automate interactions with various tools and services involved in your processes, streamlining data flow and triggering actions based on your AI analysis.



ServiceNow

ServiceNow embeds AI across its platform, from virtual agents answering customer queries to predictive models optimizing workflows, boosting employee and customer experiences with intelligent automation.

  • Process Mining: ServiceNow AI analyzes past activity logs to identify inefficiencies, bottlenecks, and opportunities for improvement within existing processes.
  • Intelligent Routing: ServiceNow AI can dynamically route tasks and cases based on real-time data like workload, skillsets, and urgency.
  • Predictive Analytics: ServiceNow's AI models predict future events and trends based on historical data. This enables proactive interventions to prevent issues before they arise and improve the overall quality of service.
  • Automated Decision Making: ServiceNow AI can automate routine decisions based on pre-defined rules and machine learning models.
  • Integration with Now Workflow: ServiceNow AI seamlessly integrates with the Now Workflow engine, allowing you to easily build automated workflows that leverage AI capabilities. This simplifies implementation and provides a unified platform for process automation.


UiPath

In UiPath, AI works alongside RPA to create Intelligent Process Automation (IPA), significantly enhancing the capabilities of robotic automation.

  • UiPath AI Computer Vision: Recognizes objects and text within applications and documents, enabling robots to interact with dynamic interfaces.
  • UiPath Document Understanding: Extracts and structures data from documents, powering automated document processing.
  • UiPath Machine Learning: Builds and deploys custom ML models within robots for specific tasks like anomaly detection or sentiment analysis.
  • UiPath AI Fabric: Integrates various AI tools and services into a unified platform for streamlined development and deployment of AI-powered automation.



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