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UiPath Community Day Warsaw: Devs4Devs Conference

The UiPath Community is a collaborative ecosystem for automation professionals, offering over 500 events annually and support through meetups, hackathons, and online forums. With 3 million community members, UiPath emphasizes hands-on learning and innovation through various resources, including blogs and case repositories, while facilitating the integration of AI in automation projects. Key advancements in automation tooling and education are highlighted, positioning UiPath as a leader in empowering developers and users with AI-driven automation solutions.

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Hello, we’re UiPath Community. Connect with experts and peers on the latest trends in automation and AI.
2 This is how we grow together! The UiPath Community is a vibrant ecosystem of automation professionals learning, supporting, and succeeding together in their automation careers. We are committed to transformation through an open, collaborative community, empowering its members to constantly learn, innovate, and push things further. https://community.uipath.com/
3 Users meet and exchange knowledge at community events around the world Meetups Hackathons Global and local user groups who gather online and offline Competitions to build innovative solutions and drive automation adoption 500+ events per year 1000+ participants in hackathons Blogs/ Use case repository Learn from real use case scenarios and best practices 400+ use cases and 100+ blogs Advocacy Get recognized as Most Valuable Professionals and Community Champions Exclusive group of 350+ advocates
4 Our 3M Community members 365 days in the Community 1.7M Academy learners 170,000 Forum️ m️em️bers 100,000 events participants 400+ Automation Champions 125 Most Valuable Professionals (MVPs) • 552 events • 56+ active countries • 25,000+ topics on Forum • 45 community blogs • attendees from️ over 6000+ com️panies
5 Platform that helps professionals to get started with free Automation and RPA education. Hub to interact with experts, get community support, and get UiPath product and technology updates. Main hub to participate to local and global meetups, hackathons and to register to community programs. Main Platforms for Engagement https://www.uipath.com/rpa/academy https://community.uipath.com/ https://forum.uipath.com/ UiPath Community Blog Tutorials: Explore step by step uses cases showcasing the UiPath Platform, to help you acquire and practice your automation skills. Community news: Discover latest events, programs, hackathons, and program announcements in UiPath Community Developer interviews: Dive into stories about individual automation journeys and learn how you can start your own. https://www.uipath.com/community-blog
6 State of the Autom️ation Professional: AI trends Report Link Report Link 1. UiPath is the second most used AI product to support automation projects. 2. AI is embedded in automation processes. 81% confirm that they use AI products in their automation projects at least a few times per week, if not daily. 3. Automation developers are using AI in many ways. Most commonly, they use it for writing code, creating documentation, and testing. 4. Those using AI, most frequently rely on machine learning and generative AI for automation projects.
7 State of the Automation Professional: Spotlight on UiPath Report Link Report Link 1. UiPath is easy to learn. The top three reasons respondents prefer UiPath are because it’s easy to learn, it’s user-friendly, and it has a community 2. Building on ease of use, 68% of respondents report it is easy to move their processes over to UiPath, up from 57% who reported it to be easy last year. 3. 59% of automation professionals connect with the UiPath Community at least once a week 4. Automation developers most commonly use UiPath Studio, Robots, and Orchestrator. The biggest shift we see since last year is that more developers have adopted UiPath Integration Service, Automation Ops, and Data Service.
8 UiPath Community YouTube UiPath Community LinkedIn Stay tuned for insightful product demos, community events and testimonials! Connect with peers on the latest knowledge on automation and AI. Find us on Social:
9
Vladyslav Rishniak Business Automation Developer @SD Solutions The Lazy Developer’s Guide to CI/CD Automating RPA Deployments (UiPath + GitLab)
The Lazy Developer’s Guide to CI/CD Automating RPA Deployments (UiPath + GitLab) Vladyslav Rishniak Business Automation Developer at SD Solutions
The Lazy Developer’s Guide to CI/CD Automating RPA Deployments (UiPath + GitLab) Vladyslav Rishniak Business Automation Developer at SD Solutions
Agenda • Manual deployment vs Automatic deployment • Guide • Challenges
Manual deployment Commit and Push changes to GitLab Build Test and Project packages Upload packages and Config.xlsx to UAT Orchestrator Run Test Cases Create Pull Request Download packages and Config from GitLab Upload Config to UAT Prod Upload package and Config to Prod Orchestrator Upload Config to GDrive RPA Developer’s part RPA Operation Specialist’s part
Manual deployment vs Automatic deployment Commit and Push changes to GitLab Build Test and Project packages Upload packages and Config.xlsx to UAT Orchestrator Run Test Cases Create Pull Request Download packages and Config from GitLab Upload Config to UAT Prod Upload package and Config to Prod Orchestrator Upload Config to GDrive RPA Developer’s part RPA Operation Specialist’s part Run pipeline job to upload package and Config ‘everywhere’ Update process in Prod Orchestrator Commit and Push changes to GitLab Create Pull Request Check Pipeline results Manual Automatic Manual Automatic
Manual deployment vs Automatic deployment Manual deployment • Number of pages/applications: 8 • Clicks: many • Time: 12 mins (Dev) + 4 mins (RPA Ops) ~= 20 mins per single deployment • Visibility on tests results and vulnerability analysis for each project version is not clear • Not scalable Automatic deployment • Number of pages/applications: 3 • Clicks: few • Time: 2 mins • Good visibility for each project version on Test results and Vulnerability analysis • Scaling: New Folders or Storage Buckets for a project doesn’t take time from people. Neither do new steps in deployment process (i.e., add saving a package for a backup)
Guide to Automating UiPath Deployments with GitLab
Step 1: Prepare 1. Research 2. Document 3. Get approvals and infrastructure setup (vms, network configurations, etc) 4. Install gitlab-runner.exe 5. Download UiPath.CLI 6. Prepare UiPath connection ( UiPath external application)
Step 2: YML file
Step 3. Separate the detailed logic
Step 4. Test and Repeat
Step 5. Use Yml on prod projects
Challenges • Get Security approvals ☺ • Required code analysis • Scarce information online • UiPath CLI executor file did not work as expected • We have multiple Tenants and Folders (requires maintaining separate mapping file) • Complicated to debug yml – you need to run the pipeline for it • Proxy settings are different if running as real user or as gitab runner (system user)
Kacper Korona Lead RPA Developer @Orsted Isn’t it Easy? Using Microsoft Graph with UiPath and Building Custom O365 Scope
Isn’t it Easy? Using Microsoft Graph with UiPath and Building Custom O365 Scope Kacper Korona 14.11.2024 UiPath Community Day Warsaw: Devs4Devs Conference
28 Interview Scheduling Project background Due to globalization and the standardization of the hiring process, we were asked to automate interview scheduling part of it. Requirements There were numerous requirements, such as integration with the ServiceNow form and the use of SAP SuccessFactors to send invitations to candidates. However, the first and indisputable requirement was that the invitation sent to internal employees involved in the recruitment process had to be private.
29 Isn’t it Easy? Default MS Office 365 activities First idea is always to use pre-built components. There are two “Create Event” activities in the Microsoft 365 package. None of them offers private event creation. Misleading property Property called “Private” under “Misc” section refers to log generation: • Private - If selected, the values of variables and arguments are no longer logged at Verbose level. This field supports Boolean values. Additional challenges • One of the activities does not support Teams meeting generation. • The other one can generate such a meeting, but the formatting of the event body does not appear as it is supposed to.
30 Isn’t it Easy?
31 Microsoft Graph API Graph Explorer Experiments with Graph Explorer provided the answer to the question, “How to create a private event?” UiPath implementation UiPath allows sending HTTP requests using standard activity. This method requires token to be provided. Bearer token Interaction with Microsoft Graph API requires being authenticated. Graph Explorer uses built-in Azure authentication. MS 365 scope does not allow token export.
32 Microsoft Graph API
33 Custom O365 Scope Azure Enterprise Application UiPath public application must be registered in Azure according to the documentation. Request Access Token To successfully execute an HTTP request, a bearer token is required. It must be requested via the MS Graph API. Authentication To receive a response with the generated token, the user must authenticate. In the given scenario, there are two options: • The robot user authenticates using IWA (robot user has MFA disabled) • The standard user authenticates using Interactive Authentication
34 Custom O365 Scope
35 MS 365 HTTP Request MS 365 scope In May 2024, version 2.6.21 of the Microsoft 365 activity package was released. This version introduced a dedicated MS 365 HTTP request activity, which can be used inside the MS 365 scope. Authentication is handled by the scope. MS 365 HTTP request This activity is similar to the default HTTP request but does not require a bearer token to be provided – it must be placed within the scope*. *Integration service If the UiPath Integration Service is enabled, the connection can be handled by it, allowing the use of the MS 365 HTTP request as a separate activity.
36 Advantages of Token Generation Automatically Chosen Authentication Type Token generation allows skipping “if” block to decide which method should be used for the current user. In the MS 365 scope, the property “Authentication Type” must be chosen from the dropdown list, preventing the use of a dynamic value. It implies the bad practice of having two identical "HTTP Request" activities. Reused Token Token generation can simplify MS Graph API interactions across the project without using the scope everywhere. This allows for more efficient code and easier maintenance. It minimizes the number of token requests by reusing the token until it expires.
37 Microsoft Entra ID Authentication More Secure Way to Use Azure OpenAI Our internal policies require the use of Microsoft Entra ID authentication when sending requests to Azure OpenAI API. This ensures that only authorized users can access the API, which is an advantage compared to using API keys.
Thank you! www.linkedin.com/in/kacper-korona
Piotr Zajac Solution Consultant, AI & ML @UiPath The Awakening of Automation: Autopilot and Agentic Automation in Action
The Awakening of Automation AutopilotandAgenticAutomationinAction Piotr Zając AI Consultant November 14, 2024
41 41 UiPath Autopilot powers a new set of AI experiences across the UiPath Platform, making everyone from interns to CEOs more productive 1. Developers Create and improve automations, apps, and expressions in ​Studio and Apps and ensure your automations stay resilient with the Healing Agent 2. Testers Accelerate every phase of the testing lifecycle in Test Suite 3. Business Analysts Find automation potential in Process Mining & Communications Mining 4. Everyone Be more productive with a desktop companion that helps you get more done in Assistant is for… *Autopilot for BAs, and the Healing Agent are in private preview
42 Autopilot for the Business Automation Platform 1. Govern your AI program at enterprise scale with the UiPath Platform & AI Trust Layer 2. Be more productive across the UiPath Business Automation Platform 3. Enable every employee to leverage AI for productivity, across end-users, developers, and testers 4. Build AI-powered actions into any enterprise software using best-in- class UI and API automation 5. Provide cross-platform AI solutions on Windows, Mac and Web Security & Governance Developers Everyone Testers Analysts S u p ercharge Produ c t i v i t y AI Trust Layer Assistant Studio Communications Mining Process Mining Test Manager Apps Data Service Integration Service Document Understanding
43 100% People create and maintain automations RPA Agentic 80% Humans 20% Agent 20% Humans 80% Agent 100% Agent Al will increasingly create and maintain full automations
44 Agentic automation architecture Agent Builder - Agent Catalog - Agent Apps Agent Service (Planning | Context | Learning) AI Trust Layer (Privacy | Security | Mgmt.) Agents Robots People Platform Orchestration Workflows Instructions Model Context Tools NEW NEW NEW NEW NEW Models + + + + NEW
45 Production Full Control Testing AI Tools Cloud Development AI Tools Cloud
46 Studio Autopilots Test Manager Testing Robots Robots Agents
47 01 02 03 create automation with natural language prompt generative content extraction and generation generative support in automation parameters configuration Autopilot, take control – demo scenario
Autopilot for Developers The UiPath word mark, logos, and robots are registered trademarks owned by UiPath, Inc and its affiliates. ©2023 UiPath. All rights reserved.
49 Autopilot for Developers transform️s how you… Create and maintain automations using natural language Convert legacy forms to automation- powered apps Get contextual next best action guidance to make workflows more robust Autopilot for Studio enhances productivity for developers of all kinds. • 'Text to workflow' transforms descriptions easily into automation workflows, reducing complexity particularly for non-technical users. • 'Text to expressions' generates expressions using natural language descriptions allowing developers to focus on the problem at hand rather than syntax. • 'Automated code generation' directly transforms descriptions into code-based automations. Autopilot for Apps empowers developers to create app interfaces and expressions using everyday language, documents, or images. Developers can fluently express their design intentions textually or visually, leading to diverse and user-friendly interface designs. Furthermore, the opportunity to generate expressions across all apps ensures a unified and accelerated development process.
50 Autopilot for Developers From mere words to an automation in seconds
51 Autopilot for Developers From PDF to automated app, just like that
52 Autopilot for Developers demo
53 What do we mean by agentic? Robots Rules-based, act predictably, deterministic decisions Agents Goals-based, act independently, dynamic decisions Best for routine tasks that require high reliability & efficiency Best for ad hoc tasks that require high adaptability • Agentic automation is the combination of industry-leading AI, automation, and orchestration. • Agents have AI skills, enabling them to communicate in natural language, plan out the steps to accomplish a task, and coordinate with other robots and agents for process-level outcomes. • Agentic Orchestration gives UiPath the unique ability to orchestrate robots, agents and humans across many agentic workflows. Key Definitions
54 What are the components of an agent? Natural Language Prompt Instructions or the plan for the agent – what is it meant to do and how should it do it. It is composed of: • Input/Output Arguments • System prompt with role, goals, constraints • User Prompt • Examples Context Short and Long-term memory which it uses to inform its plan execution and adjustment Context Grounding to support: • Querying from knowledgebases to ground prompts • Agent Memory so the agent can learn based on its runtime Tools UiPath tools that are invoked based on the prompt Tools an agent could use: • Activities • Automations • Microautomations • Other Agents Escalations Involve a human only when necessary – to help gather additional information or review input/output arguments Agent Escalation paths: • Action Center Action Apps • Communication channels (e.g. Slack) Evaluations at design time and run time Governance & Trust
55 Introducing UiPath Agent Builder A design and evaluation interface for agents. Agent Builder provides a guided experience for Automation developers and business users to build, evaluate and publish agents. Private preview in December 2024 Tentative GA date: 2025
56 Prebuilt UiPath Agents coming soon Compliance Monitoring Agent Risk Assessment Agent Regulatory Reporting Agent Continuously monitor operations and documentation to ensure compliance with industry regulations and internal policies. Evaluate operational risks by analyzing data from various sources, enabling the company to mitigate potential issues proactively. Automates the compilation of reports required by regulatory bodies, ensuring accuracy and timely submission. Web Search Agent Scorer Agent Regulatory Reporting Agent Continuously monitor operations and documentation to ensure compliance with industry regulations and internal policies. Evaluate and score decision options based on predefined criteria Automates the compilation of reports required by regulatory bodies, ensuring accuracy and timely submission.
57 Autopilot is our first agent Meet it at UiPath.AI
58 OUR tools, better with YOUR help Join the Agent Builder preview waiting list
59 How is Autopilot different from other AI assistants? Works across apps Learns from how you work Assists with E2E workflows Processes documents with ease Automates all kinds of tasks Supports more platforms Tasks + Actions + AI Learning HITL Workflows Document Understanding + Clipboard AI + Automation Robot Tasks Mac Windows Copilot
Autopilot for Everyone The UiPath word mark, logos, and robots are registered trademarks owned by UiPath, Inc and its affiliates. ©2023 UiPath. All rights reserved.
61 Autopilot for Everyone uniquely… Meets you where you do work, in your context Incorporates your organizational knowledge Improves automation discovery and creation Features interactive chat powered by GenAI Provides access to best-in-class UiPath specialized AI models Enables IT to govern data with enterprise security and privacy
62 Auto-Suggestions Contextual Answers Automation Library Document Analysis Receive responses that are tailored leveraging organizational context Access a vast library of automations from most used apps in UiPath Get intelligent suggestions on what questions to ask next Drag-n-drop documents and images and ask questions! Autopilot for Everyone key features
63 Autopilot for Everyone demo
Autopilot for Developers Healing Agent The UiPath word mark, logos, and robots are registered trademarks owned by UiPath, Inc and its affiliates. ©2023 UiPath. All rights reserved.
65 Text to workflow Documents / Text to Apps Text to coded workflows Fix expressions Text to expressions UiPath Autopilot : introducing the Healing Agent At design time: build automation solutions in a breeze Apply recommendations for code modifications …for Developers Create and improve automations, apps, and expressions in UiPath Studio and Apps NEW
66 UiPath Autopilot : introducing the Healing Agent At run time: reduce automation downtime and enhance efficiency Automation self-healing Automatic exception reporting Orchestrator exception report panel Enhanced notifications NEW NEW NEW NEW …for Developers Create and improve automations, apps, and expressions in UiPath Studio and Apps
67 Healing Agent demo
68 Sign up for private preview Link: https://insider.uipath.com/#/portal/381/ Healing Agent
Autopilot for Testers The UiPath word mark, logos, and robots are registered trademarks owned by UiPath, Inc and its affiliates. ©2023 UiPath. All rights reserved.
70 Autopilot for Testers transform️s how you… Generate test cases Automate test cases Gain insights from test results Autopilot for Test Suite accelerates every phase of the testing lifecycle • Evaluate requirements for quality aspects such as clarity, completeness and consistency • Generate manual tests from requirements and supporting documents • Generate self-healing coded and low code test automation as well as synthetic test data from text • Get real-time, actionable insights into your test results without the need for pre-built templates
AI-Powered Insights Get real-time actionable insights into your test results without prebuilt templates AI-Powered Evaluation Evaluate requirements for quality aspects such as clarity, completeness & consistency AI-Powered Generation Generate manual tests from requirements and supporting documents AI-Powered Automation Generate self-healing coded and low-code test automation as well as synthetic test data from text Autopilot for Testers key features
72 Autopilot for Testers demo
Autopilot for business analysts The UiPath word mark, logos, and robots are registered trademarks owned by UiPath, Inc and its affiliates. ©2023 UiPath. All rights reserved.
74 Autopilot for Business Analysts transform️s how you… Get questions answered Unlock insights and generate reports Create dashboards and visualize data Autopilot for Communications Mining gets your analytics and reporting questions answered at speed. Autopilot for Process Mining makes it easier to filter, summarize, and create dashboards for automation opportunities.
75 Deliver GenAI powered Solutions Activities making it easy to access, develop with, and leverage high quality AI predictions in automation workflows. ▪ Access to UiPath-managed LLMs and other LLM lifecycle tools (R.A.G., Prompt Evaluation, Proof of Knowledge, etc. ▪ Configurable with Action Centre for Human in the Loop review ▪ Supported by UiPath AI Services products for data grounding, governance, and monitoring Text Generation Chat Generation Email Generation AI Trust Layer PII Filtering – Context Grounding UiPath GenAI Activities UiPath-managed LLMs Named Entity Recognition Language Detection Categorization Image Analysis Language Translation Summarization Format Change Automate More
76 GenAI Connectors Models OpenAI GPT-3, GPT-3.5, GPT-4, GPT-4V Azure Microsoft OpenAI GPT-3, GPT-3.5, GPT-4 Amazon SageMaker Falcon (Hugging Face*), Llama2 (Meta*) any other custom AWS model AWS SageMaker is in Public Preview Amazon Bedrock Titan, Claude2 (Anthropic*), Jurassic, Llama2 Google Vertex PaLM2, Unicorn, Gemini, Gemini Vision IBM WatsonX Granite, Llama2, Built by IBM using UiPath Connector Builder (Public Preview) Anthropic Claude2, Claude Instant Connector Builder Build your own AI-based connector *vendor Open and enterprise-ready GenAI in your automations Automate More Incorporate GenAI directly into processes through novel experiences or automations
77 Why use LLM in Automation • LLM (text) performs in the following 3 Data Operations categories in business automation • They bring the following values to your automation project • Reduce Human-In-The-Loop involvement in business automation with Semantic Data Operation • Expand entirely new automation opportunities with Natural Language Processing, Reasoning Semantic Data Processing Natural Language Processing Reasoning Description Managing and optimizing data to support decision-making and operational efficiency Understand and interact with human language and output meaningful sentence Drawing conclusions or making predictions based on existing knowledge, simulating human logical thinking and problem-solving capabilities Operation types • Classification • Extraction • Cleansing • Comparison • Searching • Validation • Communication • Summarization • Sentiment detection • Translation • Analysis • Suggestion
78 Extraction Validation What can GenAI do in automation? Classification Formatting Matching Searching Organize data (documents, email etc..) into predefined categories Pertain to pulling specific, relevant information from larger datasets or unstructured data (documents, email etc..) Detect and correct (or remove) corrupt or inaccurate records from a dataset Determine multiple data are matched semantically Explore and examine data within a dataset or collection to locate specific information or data elements Ensure that data or input meets specific criteria or standards Documents Match Mismatch Policy Document Archive • Data Protection & Privacy • Information Security • Compliance & Regulatory • Vendor Management • Intellectual Property • Business Continuity & Disaster Recovery • Ethics and Conduct 1600 Pensylvania Ave Northwest, Washingtom, D.C 20500 Invoice PO Receipt Subject: Address change policy No. 1863325 Hi Aaron, Could you please update the address on the above policy to 20 W 34th St., New York, NY 10001, USA. 1600 Pennsylvania Ave NW, Washington, DC 20500 Policy No: 1863325 Address Line: 20 W 34th St., New York, NY Address Line: 10001 LLM 1600 Pennsylvania Avenue NW, Washington D.C. 20500 1600 Pennsylvania Ave Northwest, Washington, DC 20500 All third-party software must encrypt all personal data Email Policy Contract Pass Fail LLM Signing a new contract with a software vendor Context Identified policy document list Supported by Document Understanding Supported by Communications Mining CM DU DU CM DU CM LLM LLM LLM LLM Semantic Data operation Managing and optimizing data semantically to support decision-making and operational efficiency
79 What can LLM (GenAI) do in automation? Natural Language Processing Supported by Communications Mining CM Summarization Communication Sentiment detection Translation Interacting with humans in natural language, including responding to queries, providing information Condensing text or information into more concise formats while retaining the essential context or insights Identifies the sentiment expressed in a piece of text, helping to gauge public opinion, customer sentiments Converting text from one language to another while retaining the original meaning I received my order and found the product to be defective (it won't power on). I am very disappointed. Email Email We are pleased to acknowledge your application for a loan amount of $950,000. Based on your profile and history with us, you may qualify for rates as low as 3.41%. Loan type: Mortgage Loan amount: $ 950,000 Interest rate: 3.41% UiPath announced new AI-powered automation features, including Generative AI and Specialized AI, to enhance business automation. Web Page UiPath announced new AI-powered automation features, including Generative AI and Specialized AI, to enhance business automation. UiPathは、 Generative AIや Specialized AIなど、 AIを活用した新たな自 動化機能を発表し、ビ ジネスの自動化を強化 した。 LLM English Japanese Web Page LLM LLM LLM CM Understand and interact with human language and output meaningful sentence
80 What can LLM (GenAI) do in automation? Suggestion Providing next actions strategies based on provided context, insights, trends, or patterns Data base CRM Financial Statement LLM Here is the generated account strategy based on the provided data #Account strategy …………….. …………….. Analysis Providing new insights based on provided information and its underlying principles Data base CRM Financial Statement Several business opportunities are identified based on the provided data #Oppotunity 1 ………… #Oppotunity 2 ………… LLM Reasoning Drawing conclusions or making predictions based on existing knowledge, simulating human logical thinking and problem-solving capabilities
Thank you
Daniel Chrapczynski Autonomous Enterprise Manager @Mindbox Document Understanding powered by Generative AI
R e i n v e n t t h r o u g h t e c h n o l o g y Daniel Chrapczyński Document Understanding podrasowany GenAI
Agenda O Mindbox Use case: Podejście I GenAI GenAI w UiPath Podsumowanie Use Case: Podejście II
Tworzymy inspirujące miejsce rozwoju utalentowanych ludzi, aby swoją wiedzą i odwagą wprowadzili Twój biznes w technologię jutra
System 2 System 1 DATABASE / API / EDI Robot AI Classification NLP iOCR DATABASE / API / XML Paper DATABASE / API / XML Chatbots Business Applications Integration services Orchestration System 3 System 4 …
Pobranie dokumentu z EZD Robot Klasyfikacja dokumentu Ekstrakcja danych Document Understanding Walidacja danych w UiPath Action Center Anulowanie usługi Robot Action Center Use case: Podejście I
Emikie Szaupch Szugów Gorolla Btowatkowa Wyzwanie Pismo odręczne
Możliwe podejścia Iteracyjne AI Słowniki i bazy danych Algorytm Levenshteina Elastic … GenAI …
Czym jest Sztuczna inteligencja potrafiąca tworzyć nowe treści (tekst, obraz, dźwięki, itd.) na podstawie istniejących danych GenAI? Szczególnym rodzajem GenAI są LLM (Large Language Models) skoncentrowane na przetwarzaniu języka naturalnego Przykłady LLM: GPT, BERT, T5 Odpowiadanie na pytania (rozumienie kontekstu i generowanie sensownych odpowiedzi) Generowanie tekstu Tłumaczenia Tworzenie podsumowań Przykładowe zastosowania
GenAI w Generowanie treści Generowanie odpowiedzi na czat dla podanego żądania przy użyciu modeli uzupełniania czatu. Filtrowanie danych osobowych Ta aktywność skanuje wprowadzany tekst, identyfikuje wszelkie dane osobowe (PII... Podsumuj tekst Podsumuj tekst, używając odpowiedniego Modelu Dużego Języka (LLM). Podobieństwo podpisów Przeanalizuj i porównaj dwa obrazy podpisów, aby określić ich podobieństwo, zapewniając... Podobieństwo semantyczne Porównywanie ciągu znaków z innym ciągiem lub listą ciągów za pomocą generatywnej sztucznej inteligencji. Generowanie e-maila To zadanie umożliwi użytkownikom stworzenie szkicu e-maila spełniającego...
Use case: Podejście II schemat Pobranie dokumentów z EZD Robot Robot + Document Understanding Klasyfikacja i pobranie danych z dokumentów Robot + GenAI Poprawienie literówek przez model AI Action Center Weryfikacja danych w Action Center Robot Anulowanie usługi w systemach klienta
Prompt Imię „Dawvta" nie jest powszechnie znane i nie pojawia się w tradycyjnych źródłach imion. Może to być unikalne, rzadkie imię lub forma imienia stworzonego współcześnie. W kontekście brzmienia, może kojarzyć się z imionami w kulturach, które stosują podobne dźwięki, ale dokładne pochodzenie, znaczenie i tradycje związane z tym imieniem mogą być nieznane lub nietypowe. Use case II Prompt engineering Dawvta - jakie to imię?
Imię „Dawvta" nie jest powszechnie znane i nie pojawia się w tradycyjnych źródłach imion. Może to być unikalne, rzadkie imię lub forma imienia stworzonego współcześnie. W kontekście brzmienia, może kojarzyć się z imionami w kulturach, które stosują podobne dźwięki, ale dokładne pochodzenie, znaczenie i tradycje związane z tym imieniem mogą być nieznane lub nietypowe. Dawvta - jakie to imię? Prompt Use case II Prompt engineering Pobieram dane z dokumentu używając OCR. Dane są w języku polskim. Niestety, OCR nie jest dokładny. W polu "imię" zwrócił Dawvta. Jakie to może być imię? Jeśli OCR odczytał imię jako „Dawvta", to najprawdopodobniej jest to błąd rozpoznawania tekstu, zwłaszcza że litera „w" może zostać błędnie zinterpretowana jako „v", a litera „t" może wynikać z pomyłki w rozpoznaniu liter. Najbardziej prawdopodobnym imieniem, które to może być, jest: Dawid
Jeśli OCR odczytał imię jako „Dawvta", to najprawdopodobniej jest to błąd rozpoznawania tekstu, zwłaszcza że litera „w" może zostać błędnie zinterpretowana jako „v", a litera „t" może wynikać z pomyłki w rozpoznaniu liter. Najbardziej prawdopodobnym imieniem, które to może być, jest: Dawid Jeśli OCR odczytał imię jako „Dawvta", to najprawdopodobniej jest to błąd rozpoznawania tekstu, zwłaszcza że litera „w" może zostać błędnie zinterpretowana jako „v", a litera „t" może wynikać z pomyłki w rozpoznaniu liter. Najbardziej prawdopodobnym imieniem, które to może być, jest: Dawid Pobieram dane z dokumentu używając OCR. Dane są w języku polskim. Niestety, OCR nie jest dokładny. W polu "imię" zwrócił Dawvta. Jakie to może być imię? Prompt Use case II Prompt engineering Pobieram dane z dokumentu używając OCR. Dane są w języku polskim. Niestety, OCR nie jest dokładny. W polu „imię" zwrócił Dawvta. Jakie to może być imię? Najprawdopodobniej jest to imię występujące w Polsce. Jeżeli kończy się na a, to najprawdopodobniej jest to imię żeńskie. Jeśli OCR odczytał imię jako „Dawvta”, to najprawdopodobniej jest to błąd rozpoznawania tekstu. Jeśli kończy się ono na literę „a", istnieje duża szansa, że jest to imię żeńskie. Najbardziej prawdopodobnym imieniem, które może zostać błędnie rozpoznane w ten sposób, jest: Danuta
dokładny. W polu „imię" zwrócił Dawvta. Jakie to może być imię? Najprawdopodobniej jest to imię występujące w Polsce. Jeżeli kończy się na a, to najprawdopodobniej jest to imię żeńskie. to najprawdopodobniej jest to imię żeńskie. Pobieram dane z dokumentu używając OCR. Dane są w języku polskim. Niestety, OCR nie jest dokładny. W polu „imię" zwrócił Dawvta. Jakie to może być imię? Najprawdopodobniej jest to imię występujące w Polsce. Jeżeli kończy się na a, to najprawdopodobniej jest to imię żeńskie. Jeśli OCR odczytał imię jako „Dawvta”, to najprawdopodobniej jest to błąd rozpoznawania tekstu. Jeśli kończy się ono na literę „a", istnieje duża szansa, że jest to imię żeńskie. Najbardziej prawdopodobnym imieniem, które może zostać błędnie rozpoznane w ten sposób, jest: Danuta Prompt Use case II Prompt engineering Pobieram dane z dokumentu używając OCR. Dane są w języku polskim. Niestety, OCR nie jest dokładny. W polu "imię" zwrócił Dawvta. Jakie to może być imię? Najprawdopodobniej jest to imię występujące w Polsce. Jeżeli kończy się na, a to najprawdopodobniej jest to imię żeńskie. Zwróć samo imię, bez dodatkowych informacji. Danuta
Context grounding Treść zapytania (promptu) Źródło danych do context groundingu Źródło danych do context groundingu (plik/index w Storage Bucket) Use case II
Podsumowanie R e i n v e n t t h r o u g h t e c h n o l o g y
Q&A R e i n v e n t t h r o u g h t e c h n o l o g y
Dziękuję za uwagę R e i n v e n t t h r o u g h t e c h n o l o g y
Mikołaj Zieliński UiPath MVP, UiPath Lead @Proservartner How AI can save lives. A use case powered by UiPath Apps and AI
How can AI save lives? A use case powered by UiPath Apps and AI
Who are we?
Our Team Mikołaj Zieliński Łukasz Pahlke Srinivas Kadamati Shravari Patil
Science or Fiction? Current challenges of medicine
Targeted treatment - biorobots Current challenges of medicine
Targeted treatment - biorobots Current challenges of medicine
Computing on DNA- Processor Current challenges of medicine 2012 – First computer data were saved and read from DNA 2023 – First DNA based processor created* *https://pmc.ncbi.nlm.nih.gov/articles/PMC10586678/ Scientists have created a new biocomputing chip that makes calculations using a DNA substrate, including mathematical operations essential to artificial intelligence (AI) training and big data processing. The most important question was already asked!
Targeted treatment – Fold It The game which cured the AIDS
Our Case AI Revolution
Targeted treatment - Probability Current challenges of medicine 6,74% Very light and light red hair 23,05% Dark blonde and red hair 13,05% Chestnut hair 26,51% Dark brunette hair 30,65% Dark hair 1,3% Chestnut hair on head and partially red beard 243,000
Targeted treatment - Probability Current challenges of medicine 1 out of 9 criteria* • HLA Antigen Compatibility – 5 main HLA antigens (HLA-A, HLA-B, HLA-C, HLA- DRB1, HLA-DQB1). • Allele-level HLA Matching – precise matching at the allele level for each HLA antigen. • Age of Donor and Recipient – affecting the vitality of stem cells. • Donor and Recipient Gender – can influence the risk of complications. • Donor’s Health Condition – important for the quality of stem cells. • Blood Type – compatibility can reduce the risk of complications. • Viral and Latent Infection Compatibility – particularly important for CMV status. • Non-HLA Gene Compatibility – additional genes related to immune response. • Microbiome Compatibility – potential influence on the recipient’s gut colonization post-transplant. * Hair colour is just example and does not impact donor matching
Targeted treatment - Probability Current challenges of medicine 38 000 000 Population of Poland 1,8 000 000 Population of Warsaw 100 Devs4Devs attendees 1: 20 000 Most popular HLA combination for Polish Ethnicity Group 1: >90 000 000 Other HLA combination in Polish Ethnicity Group 0,005% That in this room you will find donor 0,00000000001 That in Poland you will find donor
Targeted treatment – Probability - Banks Current challenges of medicine 15 Number of Donors Banks in world 37 000 000 Number of Registered Donors 8 000 000 000 Human population on earth 400 000 Statistical number of matched for one patient in entire human population
What can we do about this?
The idea What can we do to help?
The idea Example – Synthetic Data Matching candidates' profiles
Thank You
Bold transformation. Real results. Delivered with assurance, speed and impact.​ We partner with clients to design and implement next generation operating models, processes and automation.​ Proservartner brings experienced practitioners, data, tools and independence to unlock client opportunities.​​
Michał Cholewski Automation Specialist @Orsted How dedicated platform team enables fast delivery in UiPath environment
How dedicated platform team enables fast delivery within UiPath domain Michał Cholewski 14.11.2024 Devs4Devs UiPath Community Day Warsaw
125 - 6 years of RPA experience - Ørsted since August 2019 - Senior Developer in Automation Team - part-time Scrum Master - Animal health & welbeeing Inspector - RPG geek - Cooking & consuming enthusiast Michał Cholewski
126 DevOps Platform
127 DevOps is part of a Platform
128 The Setup Ørsted Org 1 Org 2 Aut 1 Aut 2
129 CI/CD Pipelines Servers New Process Setup New Business Users Downtime App Updates Freeze Robot Configuration
130 The Invisible Tasks CI/CD Pipelines New Process Setup New Business Users Robot Configuration Upgrades Policy
131 The Invisible Tasks CI/CD Pipelines New Process Setup New Business Users Robot Configuration Upgrades Policy + D e v e l o p m e n t
132 Develop
133 The Process CI/CD New Process Setup New Business Users App Updates Freeze Robot Configuration Downtime Pipelines Servers … and more
134 Benefits-Costs Benefits Costs Limited Admin Users Development Power Proactive Monitoring Orchestration Knowledge Clear Roles and Expectations Efficient, documented workflow Fast, carefree upgrades Fast, reliable deployments Faster delivery for supported teams
Thank you! www.linkedin.com/in/michcio OR https://www.menti.com/alr7 k8qkints
Kamil Miśko UiPath MVP, Senior RPA Developer/Solution Architect @Zurich Insurance MVP Program open applications: learn all about our top community experts and advocates, the UiPath MVPs
Why being UiPath MVP is so cool?
Polish heroes
Steps -> Deadlines -> Tips Key Dates 10 Oct – 24 Nov Application period Online campaigns 15 Oct – 5 Dec Application review/ CMTY Interview & Tech Interview with MVPs 5 Dec – 15 Jan Product Interview (PM) 15 Jan – 30 Feb Announcement Preparation February 2025 Official Announcement Maintain Your Forum Profile • Regularly update your profile with your activities. • This helps the Community team view your contributions in one place. • (Exception: No need to add Forum solutions and UiPath Insider activities as they are already tracked) Complete Your MVP Application Thoughtfully • Share how you have supported others over the past year, not just your future plans as an MVP. • Highlight specific actions that showcase your dedication to the UiPath Community Demonstrate Your Passion • Your activities should reflect genuine enthusiasm for automation and community building. Avoid Using ChatGPT for Key Questions • Especially for Questions 12, 15, and 25—applications suggest these should be in your own words for authenticity Useful Tips for UiPath MVP Application UiPath Community MVP | UiPath Homepage | UiPath UiPath Community Forum
141 INTERNAL USE ONLY
142 Thank you all for joining us in Warsaw! Join the UiPath Community Warsaw – Krakow chapter: https://community.uipath.com/warsaw- krakow/

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UiPath Community Day Warsaw: Devs4Devs Conference

  • 1.
    Hello, we’re UiPath Community. Connectwith experts and peers on the latest trends in automation and AI.
  • 2.
    2 This is howwe grow together! The UiPath Community is a vibrant ecosystem of automation professionals learning, supporting, and succeeding together in their automation careers. We are committed to transformation through an open, collaborative community, empowering its members to constantly learn, innovate, and push things further. https://community.uipath.com/
  • 3.
    3 Users meet andexchange knowledge at community events around the world Meetups Hackathons Global and local user groups who gather online and offline Competitions to build innovative solutions and drive automation adoption 500+ events per year 1000+ participants in hackathons Blogs/ Use case repository Learn from real use case scenarios and best practices 400+ use cases and 100+ blogs Advocacy Get recognized as Most Valuable Professionals and Community Champions Exclusive group of 350+ advocates
  • 4.
    4 Our 3M Communitymembers 365 days in the Community 1.7M Academy learners 170,000 Forum️ m️em️bers 100,000 events participants 400+ Automation Champions 125 Most Valuable Professionals (MVPs) • 552 events • 56+ active countries • 25,000+ topics on Forum • 45 community blogs • attendees from️ over 6000+ com️panies
  • 5.
    5 Platform that helps professionalsto get started with free Automation and RPA education. Hub to interact with experts, get community support, and get UiPath product and technology updates. Main hub to participate to local and global meetups, hackathons and to register to community programs. Main Platforms for Engagement https://www.uipath.com/rpa/academy https://community.uipath.com/ https://forum.uipath.com/ UiPath Community Blog Tutorials: Explore step by step uses cases showcasing the UiPath Platform, to help you acquire and practice your automation skills. Community news: Discover latest events, programs, hackathons, and program announcements in UiPath Community Developer interviews: Dive into stories about individual automation journeys and learn how you can start your own. https://www.uipath.com/community-blog
  • 6.
    6 State of theAutom️ation Professional: AI trends Report Link Report Link 1. UiPath is the second most used AI product to support automation projects. 2. AI is embedded in automation processes. 81% confirm that they use AI products in their automation projects at least a few times per week, if not daily. 3. Automation developers are using AI in many ways. Most commonly, they use it for writing code, creating documentation, and testing. 4. Those using AI, most frequently rely on machine learning and generative AI for automation projects.
  • 7.
    7 State of theAutomation Professional: Spotlight on UiPath Report Link Report Link 1. UiPath is easy to learn. The top three reasons respondents prefer UiPath are because it’s easy to learn, it’s user-friendly, and it has a community 2. Building on ease of use, 68% of respondents report it is easy to move their processes over to UiPath, up from 57% who reported it to be easy last year. 3. 59% of automation professionals connect with the UiPath Community at least once a week 4. Automation developers most commonly use UiPath Studio, Robots, and Orchestrator. The biggest shift we see since last year is that more developers have adopted UiPath Integration Service, Automation Ops, and Data Service.
  • 8.
    8 UiPath Community YouTubeUiPath Community LinkedIn Stay tuned for insightful product demos, community events and testimonials! Connect with peers on the latest knowledge on automation and AI. Find us on Social:
  • 9.
  • 10.
    Vladyslav Rishniak Business AutomationDeveloper @SD Solutions The Lazy Developer’s Guide to CI/CD Automating RPA Deployments (UiPath + GitLab)
  • 11.
    The Lazy Developer’s Guideto CI/CD Automating RPA Deployments (UiPath + GitLab) Vladyslav Rishniak Business Automation Developer at SD Solutions
  • 13.
    The Lazy Developer’s Guideto CI/CD Automating RPA Deployments (UiPath + GitLab) Vladyslav Rishniak Business Automation Developer at SD Solutions
  • 14.
    Agenda • Manual deploymentvs Automatic deployment • Guide • Challenges
  • 15.
    Manual deployment Commit andPush changes to GitLab Build Test and Project packages Upload packages and Config.xlsx to UAT Orchestrator Run Test Cases Create Pull Request Download packages and Config from GitLab Upload Config to UAT Prod Upload package and Config to Prod Orchestrator Upload Config to GDrive RPA Developer’s part RPA Operation Specialist’s part
  • 16.
    Manual deployment vsAutomatic deployment Commit and Push changes to GitLab Build Test and Project packages Upload packages and Config.xlsx to UAT Orchestrator Run Test Cases Create Pull Request Download packages and Config from GitLab Upload Config to UAT Prod Upload package and Config to Prod Orchestrator Upload Config to GDrive RPA Developer’s part RPA Operation Specialist’s part Run pipeline job to upload package and Config ‘everywhere’ Update process in Prod Orchestrator Commit and Push changes to GitLab Create Pull Request Check Pipeline results Manual Automatic Manual Automatic
  • 18.
    Manual deployment vsAutomatic deployment Manual deployment • Number of pages/applications: 8 • Clicks: many • Time: 12 mins (Dev) + 4 mins (RPA Ops) ~= 20 mins per single deployment • Visibility on tests results and vulnerability analysis for each project version is not clear • Not scalable Automatic deployment • Number of pages/applications: 3 • Clicks: few • Time: 2 mins • Good visibility for each project version on Test results and Vulnerability analysis • Scaling: New Folders or Storage Buckets for a project doesn’t take time from people. Neither do new steps in deployment process (i.e., add saving a package for a backup)
  • 19.
  • 20.
    Step 1: Prepare 1. Research 2.Document 3. Get approvals and infrastructure setup (vms, network configurations, etc) 4. Install gitlab-runner.exe 5. Download UiPath.CLI 6. Prepare UiPath connection ( UiPath external application)
  • 21.
  • 22.
    Step 3. Separatethe detailed logic
  • 23.
  • 24.
    Step 5. Use Yml onprod projects
  • 25.
    Challenges • Get Securityapprovals ☺ • Required code analysis • Scarce information online • UiPath CLI executor file did not work as expected • We have multiple Tenants and Folders (requires maintaining separate mapping file) • Complicated to debug yml – you need to run the pipeline for it • Proxy settings are different if running as real user or as gitab runner (system user)
  • 26.
    Kacper Korona Lead RPADeveloper @Orsted Isn’t it Easy? Using Microsoft Graph with UiPath and Building Custom O365 Scope
  • 27.
    Isn’t it Easy?Using Microsoft Graph with UiPath and Building Custom O365 Scope Kacper Korona 14.11.2024 UiPath Community Day Warsaw: Devs4Devs Conference
  • 28.
    28 Interview Scheduling Project background Dueto globalization and the standardization of the hiring process, we were asked to automate interview scheduling part of it. Requirements There were numerous requirements, such as integration with the ServiceNow form and the use of SAP SuccessFactors to send invitations to candidates. However, the first and indisputable requirement was that the invitation sent to internal employees involved in the recruitment process had to be private.
  • 29.
    29 Isn’t it Easy? DefaultMS Office 365 activities First idea is always to use pre-built components. There are two “Create Event” activities in the Microsoft 365 package. None of them offers private event creation. Misleading property Property called “Private” under “Misc” section refers to log generation: • Private - If selected, the values of variables and arguments are no longer logged at Verbose level. This field supports Boolean values. Additional challenges • One of the activities does not support Teams meeting generation. • The other one can generate such a meeting, but the formatting of the event body does not appear as it is supposed to.
  • 30.
  • 31.
    31 Microsoft Graph API GraphExplorer Experiments with Graph Explorer provided the answer to the question, “How to create a private event?” UiPath implementation UiPath allows sending HTTP requests using standard activity. This method requires token to be provided. Bearer token Interaction with Microsoft Graph API requires being authenticated. Graph Explorer uses built-in Azure authentication. MS 365 scope does not allow token export.
  • 32.
  • 33.
    33 Custom O365 Scope AzureEnterprise Application UiPath public application must be registered in Azure according to the documentation. Request Access Token To successfully execute an HTTP request, a bearer token is required. It must be requested via the MS Graph API. Authentication To receive a response with the generated token, the user must authenticate. In the given scenario, there are two options: • The robot user authenticates using IWA (robot user has MFA disabled) • The standard user authenticates using Interactive Authentication
  • 34.
  • 35.
    35 MS 365 HTTPRequest MS 365 scope In May 2024, version 2.6.21 of the Microsoft 365 activity package was released. This version introduced a dedicated MS 365 HTTP request activity, which can be used inside the MS 365 scope. Authentication is handled by the scope. MS 365 HTTP request This activity is similar to the default HTTP request but does not require a bearer token to be provided – it must be placed within the scope*. *Integration service If the UiPath Integration Service is enabled, the connection can be handled by it, allowing the use of the MS 365 HTTP request as a separate activity.
  • 36.
    36 Advantages of Token Generation AutomaticallyChosen Authentication Type Token generation allows skipping “if” block to decide which method should be used for the current user. In the MS 365 scope, the property “Authentication Type” must be chosen from the dropdown list, preventing the use of a dynamic value. It implies the bad practice of having two identical "HTTP Request" activities. Reused Token Token generation can simplify MS Graph API interactions across the project without using the scope everywhere. This allows for more efficient code and easier maintenance. It minimizes the number of token requests by reusing the token until it expires.
  • 37.
    37 Microsoft Entra IDAuthentication More Secure Way to Use Azure OpenAI Our internal policies require the use of Microsoft Entra ID authentication when sending requests to Azure OpenAI API. This ensures that only authorized users can access the API, which is an advantage compared to using API keys.
  • 38.
  • 39.
    Piotr Zajac Solution Consultant,AI & ML @UiPath The Awakening of Automation: Autopilot and Agentic Automation in Action
  • 40.
    The Awakening ofAutomation AutopilotandAgenticAutomationinAction Piotr Zając AI Consultant November 14, 2024
  • 41.
    41 41 UiPath Autopilot powers anew set of AI experiences across the UiPath Platform, making everyone from interns to CEOs more productive 1. Developers Create and improve automations, apps, and expressions in ​Studio and Apps and ensure your automations stay resilient with the Healing Agent 2. Testers Accelerate every phase of the testing lifecycle in Test Suite 3. Business Analysts Find automation potential in Process Mining & Communications Mining 4. Everyone Be more productive with a desktop companion that helps you get more done in Assistant is for… *Autopilot for BAs, and the Healing Agent are in private preview
  • 42.
    42 Autopilot for theBusiness Automation Platform 1. Govern your AI program at enterprise scale with the UiPath Platform & AI Trust Layer 2. Be more productive across the UiPath Business Automation Platform 3. Enable every employee to leverage AI for productivity, across end-users, developers, and testers 4. Build AI-powered actions into any enterprise software using best-in- class UI and API automation 5. Provide cross-platform AI solutions on Windows, Mac and Web Security & Governance Developers Everyone Testers Analysts S u p ercharge Produ c t i v i t y AI Trust Layer Assistant Studio Communications Mining Process Mining Test Manager Apps Data Service Integration Service Document Understanding
  • 43.
    43 100% People create andmaintain automations RPA Agentic 80% Humans 20% Agent 20% Humans 80% Agent 100% Agent Al will increasingly create and maintain full automations
  • 44.
    44 Agentic automation architecture AgentBuilder - Agent Catalog - Agent Apps Agent Service (Planning | Context | Learning) AI Trust Layer (Privacy | Security | Mgmt.) Agents Robots People Platform Orchestration Workflows Instructions Model Context Tools NEW NEW NEW NEW NEW Models + + + + NEW
  • 45.
  • 46.
  • 47.
    47 01 02 03 create automation withnatural language prompt generative content extraction and generation generative support in automation parameters configuration Autopilot, take control – demo scenario
  • 48.
    Autopilot for Developers TheUiPath word mark, logos, and robots are registered trademarks owned by UiPath, Inc and its affiliates. ©2023 UiPath. All rights reserved.
  • 49.
    49 Autopilot for Developers transform️show you… Create and maintain automations using natural language Convert legacy forms to automation- powered apps Get contextual next best action guidance to make workflows more robust Autopilot for Studio enhances productivity for developers of all kinds. • 'Text to workflow' transforms descriptions easily into automation workflows, reducing complexity particularly for non-technical users. • 'Text to expressions' generates expressions using natural language descriptions allowing developers to focus on the problem at hand rather than syntax. • 'Automated code generation' directly transforms descriptions into code-based automations. Autopilot for Apps empowers developers to create app interfaces and expressions using everyday language, documents, or images. Developers can fluently express their design intentions textually or visually, leading to diverse and user-friendly interface designs. Furthermore, the opportunity to generate expressions across all apps ensures a unified and accelerated development process.
  • 50.
    50 Autopilot for Developers Frommere words to an automation in seconds
  • 51.
    51 Autopilot for Developers FromPDF to automated app, just like that
  • 52.
  • 53.
    53 What do wemean by agentic? Robots Rules-based, act predictably, deterministic decisions Agents Goals-based, act independently, dynamic decisions Best for routine tasks that require high reliability & efficiency Best for ad hoc tasks that require high adaptability • Agentic automation is the combination of industry-leading AI, automation, and orchestration. • Agents have AI skills, enabling them to communicate in natural language, plan out the steps to accomplish a task, and coordinate with other robots and agents for process-level outcomes. • Agentic Orchestration gives UiPath the unique ability to orchestrate robots, agents and humans across many agentic workflows. Key Definitions
  • 54.
    54 What are thecomponents of an agent? Natural Language Prompt Instructions or the plan for the agent – what is it meant to do and how should it do it. It is composed of: • Input/Output Arguments • System prompt with role, goals, constraints • User Prompt • Examples Context Short and Long-term memory which it uses to inform its plan execution and adjustment Context Grounding to support: • Querying from knowledgebases to ground prompts • Agent Memory so the agent can learn based on its runtime Tools UiPath tools that are invoked based on the prompt Tools an agent could use: • Activities • Automations • Microautomations • Other Agents Escalations Involve a human only when necessary – to help gather additional information or review input/output arguments Agent Escalation paths: • Action Center Action Apps • Communication channels (e.g. Slack) Evaluations at design time and run time Governance & Trust
  • 55.
    55 Introducing UiPath AgentBuilder A design and evaluation interface for agents. Agent Builder provides a guided experience for Automation developers and business users to build, evaluate and publish agents. Private preview in December 2024 Tentative GA date: 2025
  • 56.
    56 Prebuilt UiPath Agentscoming soon Compliance Monitoring Agent Risk Assessment Agent Regulatory Reporting Agent Continuously monitor operations and documentation to ensure compliance with industry regulations and internal policies. Evaluate operational risks by analyzing data from various sources, enabling the company to mitigate potential issues proactively. Automates the compilation of reports required by regulatory bodies, ensuring accuracy and timely submission. Web Search Agent Scorer Agent Regulatory Reporting Agent Continuously monitor operations and documentation to ensure compliance with industry regulations and internal policies. Evaluate and score decision options based on predefined criteria Automates the compilation of reports required by regulatory bodies, ensuring accuracy and timely submission.
  • 57.
    57 Autopilot is ourfirst agent Meet it at UiPath.AI
  • 58.
    58 OUR tools, better withYOUR help Join the Agent Builder preview waiting list
  • 59.
    59 How is Autopilotdifferent from other AI assistants? Works across apps Learns from how you work Assists with E2E workflows Processes documents with ease Automates all kinds of tasks Supports more platforms Tasks + Actions + AI Learning HITL Workflows Document Understanding + Clipboard AI + Automation Robot Tasks Mac Windows Copilot
  • 60.
    Autopilot for Everyone TheUiPath word mark, logos, and robots are registered trademarks owned by UiPath, Inc and its affiliates. ©2023 UiPath. All rights reserved.
  • 61.
    61 Autopilot for Everyone uniquely… Meetsyou where you do work, in your context Incorporates your organizational knowledge Improves automation discovery and creation Features interactive chat powered by GenAI Provides access to best-in-class UiPath specialized AI models Enables IT to govern data with enterprise security and privacy
  • 62.
    62 Auto-Suggestions Contextual Answers Automation LibraryDocument Analysis Receive responses that are tailored leveraging organizational context Access a vast library of automations from most used apps in UiPath Get intelligent suggestions on what questions to ask next Drag-n-drop documents and images and ask questions! Autopilot for Everyone key features
  • 63.
  • 64.
    Autopilot for Developers HealingAgent The UiPath word mark, logos, and robots are registered trademarks owned by UiPath, Inc and its affiliates. ©2023 UiPath. All rights reserved.
  • 65.
    65 Text to workflow Documents / Textto Apps Text to coded workflows Fix expressions Text to expressions UiPath Autopilot : introducing the Healing Agent At design time: build automation solutions in a breeze Apply recommendations for code modifications …for Developers Create and improve automations, apps, and expressions in UiPath Studio and Apps NEW
  • 66.
    66 UiPath Autopilot :introducing the Healing Agent At run time: reduce automation downtime and enhance efficiency Automation self-healing Automatic exception reporting Orchestrator exception report panel Enhanced notifications NEW NEW NEW NEW …for Developers Create and improve automations, apps, and expressions in UiPath Studio and Apps
  • 67.
  • 68.
    68 Sign up forprivate preview Link: https://insider.uipath.com/#/portal/381/ Healing Agent
  • 69.
    Autopilot for Testers TheUiPath word mark, logos, and robots are registered trademarks owned by UiPath, Inc and its affiliates. ©2023 UiPath. All rights reserved.
  • 70.
    70 Autopilot for Testers transform️show you… Generate test cases Automate test cases Gain insights from test results Autopilot for Test Suite accelerates every phase of the testing lifecycle • Evaluate requirements for quality aspects such as clarity, completeness and consistency • Generate manual tests from requirements and supporting documents • Generate self-healing coded and low code test automation as well as synthetic test data from text • Get real-time, actionable insights into your test results without the need for pre-built templates
  • 71.
    AI-Powered Insights Get real-time actionable insightsinto your test results without prebuilt templates AI-Powered Evaluation Evaluate requirements for quality aspects such as clarity, completeness & consistency AI-Powered Generation Generate manual tests from requirements and supporting documents AI-Powered Automation Generate self-healing coded and low-code test automation as well as synthetic test data from text Autopilot for Testers key features
  • 72.
  • 73.
    Autopilot for business analysts TheUiPath word mark, logos, and robots are registered trademarks owned by UiPath, Inc and its affiliates. ©2023 UiPath. All rights reserved.
  • 74.
    74 Autopilot for BusinessAnalysts transform️s how you… Get questions answered Unlock insights and generate reports Create dashboards and visualize data Autopilot for Communications Mining gets your analytics and reporting questions answered at speed. Autopilot for Process Mining makes it easier to filter, summarize, and create dashboards for automation opportunities.
  • 75.
    75 Deliver GenAI poweredSolutions Activities making it easy to access, develop with, and leverage high quality AI predictions in automation workflows. ▪ Access to UiPath-managed LLMs and other LLM lifecycle tools (R.A.G., Prompt Evaluation, Proof of Knowledge, etc. ▪ Configurable with Action Centre for Human in the Loop review ▪ Supported by UiPath AI Services products for data grounding, governance, and monitoring Text Generation Chat Generation Email Generation AI Trust Layer PII Filtering – Context Grounding UiPath GenAI Activities UiPath-managed LLMs Named Entity Recognition Language Detection Categorization Image Analysis Language Translation Summarization Format Change Automate More
  • 76.
    76 GenAI Connectors Models OpenAIGPT-3, GPT-3.5, GPT-4, GPT-4V Azure Microsoft OpenAI GPT-3, GPT-3.5, GPT-4 Amazon SageMaker Falcon (Hugging Face*), Llama2 (Meta*) any other custom AWS model AWS SageMaker is in Public Preview Amazon Bedrock Titan, Claude2 (Anthropic*), Jurassic, Llama2 Google Vertex PaLM2, Unicorn, Gemini, Gemini Vision IBM WatsonX Granite, Llama2, Built by IBM using UiPath Connector Builder (Public Preview) Anthropic Claude2, Claude Instant Connector Builder Build your own AI-based connector *vendor Open and enterprise-ready GenAI in your automations Automate More Incorporate GenAI directly into processes through novel experiences or automations
  • 77.
    77 Why use LLMin Automation • LLM (text) performs in the following 3 Data Operations categories in business automation • They bring the following values to your automation project • Reduce Human-In-The-Loop involvement in business automation with Semantic Data Operation • Expand entirely new automation opportunities with Natural Language Processing, Reasoning Semantic Data Processing Natural Language Processing Reasoning Description Managing and optimizing data to support decision-making and operational efficiency Understand and interact with human language and output meaningful sentence Drawing conclusions or making predictions based on existing knowledge, simulating human logical thinking and problem-solving capabilities Operation types • Classification • Extraction • Cleansing • Comparison • Searching • Validation • Communication • Summarization • Sentiment detection • Translation • Analysis • Suggestion
  • 78.
    78 Extraction Validation What can GenAIdo in automation? Classification Formatting Matching Searching Organize data (documents, email etc..) into predefined categories Pertain to pulling specific, relevant information from larger datasets or unstructured data (documents, email etc..) Detect and correct (or remove) corrupt or inaccurate records from a dataset Determine multiple data are matched semantically Explore and examine data within a dataset or collection to locate specific information or data elements Ensure that data or input meets specific criteria or standards Documents Match Mismatch Policy Document Archive • Data Protection & Privacy • Information Security • Compliance & Regulatory • Vendor Management • Intellectual Property • Business Continuity & Disaster Recovery • Ethics and Conduct 1600 Pensylvania Ave Northwest, Washingtom, D.C 20500 Invoice PO Receipt Subject: Address change policy No. 1863325 Hi Aaron, Could you please update the address on the above policy to 20 W 34th St., New York, NY 10001, USA. 1600 Pennsylvania Ave NW, Washington, DC 20500 Policy No: 1863325 Address Line: 20 W 34th St., New York, NY Address Line: 10001 LLM 1600 Pennsylvania Avenue NW, Washington D.C. 20500 1600 Pennsylvania Ave Northwest, Washington, DC 20500 All third-party software must encrypt all personal data Email Policy Contract Pass Fail LLM Signing a new contract with a software vendor Context Identified policy document list Supported by Document Understanding Supported by Communications Mining CM DU DU CM DU CM LLM LLM LLM LLM Semantic Data operation Managing and optimizing data semantically to support decision-making and operational efficiency
  • 79.
    79 What can LLM(GenAI) do in automation? Natural Language Processing Supported by Communications Mining CM Summarization Communication Sentiment detection Translation Interacting with humans in natural language, including responding to queries, providing information Condensing text or information into more concise formats while retaining the essential context or insights Identifies the sentiment expressed in a piece of text, helping to gauge public opinion, customer sentiments Converting text from one language to another while retaining the original meaning I received my order and found the product to be defective (it won't power on). I am very disappointed. Email Email We are pleased to acknowledge your application for a loan amount of $950,000. Based on your profile and history with us, you may qualify for rates as low as 3.41%. Loan type: Mortgage Loan amount: $ 950,000 Interest rate: 3.41% UiPath announced new AI-powered automation features, including Generative AI and Specialized AI, to enhance business automation. Web Page UiPath announced new AI-powered automation features, including Generative AI and Specialized AI, to enhance business automation. UiPathは、 Generative AIや Specialized AIなど、 AIを活用した新たな自 動化機能を発表し、ビ ジネスの自動化を強化 した。 LLM English Japanese Web Page LLM LLM LLM CM Understand and interact with human language and output meaningful sentence
  • 80.
    80 What can LLM(GenAI) do in automation? Suggestion Providing next actions strategies based on provided context, insights, trends, or patterns Data base CRM Financial Statement LLM Here is the generated account strategy based on the provided data #Account strategy …………….. …………….. Analysis Providing new insights based on provided information and its underlying principles Data base CRM Financial Statement Several business opportunities are identified based on the provided data #Oppotunity 1 ………… #Oppotunity 2 ………… LLM Reasoning Drawing conclusions or making predictions based on existing knowledge, simulating human logical thinking and problem-solving capabilities
  • 81.
  • 82.
    Daniel Chrapczynski Autonomous EnterpriseManager @Mindbox Document Understanding powered by Generative AI
  • 83.
    R e in v e n t t h r o u g h t e c h n o l o g y Daniel Chrapczyński Document Understanding podrasowany GenAI
  • 84.
    Agenda O Mindbox Use case:Podejście I GenAI GenAI w UiPath Podsumowanie Use Case: Podejście II
  • 85.
    Tworzymy inspirujące miejscerozwoju utalentowanych ludzi, aby swoją wiedzą i odwagą wprowadzili Twój biznes w technologię jutra
  • 86.
    System 2 System 1 DATABASE/ API / EDI Robot AI Classification NLP iOCR DATABASE / API / XML Paper DATABASE / API / XML Chatbots Business Applications Integration services Orchestration System 3 System 4 …
  • 87.
    Pobranie dokumentu z EZDRobot Klasyfikacja dokumentu Ekstrakcja danych Document Understanding Walidacja danych w UiPath Action Center Anulowanie usługi Robot Action Center Use case: Podejście I
  • 88.
  • 89.
    Możliwe podejścia Iteracyjne AI Słowniki ibazy danych Algorytm Levenshteina Elastic … GenAI …
  • 90.
    Czym jest Sztuczna inteligencja potrafiącatworzyć nowe treści (tekst, obraz, dźwięki, itd.) na podstawie istniejących danych GenAI? Szczególnym rodzajem GenAI są LLM (Large Language Models) skoncentrowane na przetwarzaniu języka naturalnego Przykłady LLM: GPT, BERT, T5 Odpowiadanie na pytania (rozumienie kontekstu i generowanie sensownych odpowiedzi) Generowanie tekstu Tłumaczenia Tworzenie podsumowań Przykładowe zastosowania
  • 91.
    GenAI w Generowanie treści Generowanieodpowiedzi na czat dla podanego żądania przy użyciu modeli uzupełniania czatu. Filtrowanie danych osobowych Ta aktywność skanuje wprowadzany tekst, identyfikuje wszelkie dane osobowe (PII... Podsumuj tekst Podsumuj tekst, używając odpowiedniego Modelu Dużego Języka (LLM). Podobieństwo podpisów Przeanalizuj i porównaj dwa obrazy podpisów, aby określić ich podobieństwo, zapewniając... Podobieństwo semantyczne Porównywanie ciągu znaków z innym ciągiem lub listą ciągów za pomocą generatywnej sztucznej inteligencji. Generowanie e-maila To zadanie umożliwi użytkownikom stworzenie szkicu e-maila spełniającego...
  • 92.
    Use case: PodejścieII schemat Pobranie dokumentów z EZD Robot Robot + Document Understanding Klasyfikacja i pobranie danych z dokumentów Robot + GenAI Poprawienie literówek przez model AI Action Center Weryfikacja danych w Action Center Robot Anulowanie usługi w systemach klienta
  • 93.
    Prompt Imię „Dawvta" niejest powszechnie znane i nie pojawia się w tradycyjnych źródłach imion. Może to być unikalne, rzadkie imię lub forma imienia stworzonego współcześnie. W kontekście brzmienia, może kojarzyć się z imionami w kulturach, które stosują podobne dźwięki, ale dokładne pochodzenie, znaczenie i tradycje związane z tym imieniem mogą być nieznane lub nietypowe. Use case II Prompt engineering Dawvta - jakie to imię?
  • 94.
    Imię „Dawvta" niejest powszechnie znane i nie pojawia się w tradycyjnych źródłach imion. Może to być unikalne, rzadkie imię lub forma imienia stworzonego współcześnie. W kontekście brzmienia, może kojarzyć się z imionami w kulturach, które stosują podobne dźwięki, ale dokładne pochodzenie, znaczenie i tradycje związane z tym imieniem mogą być nieznane lub nietypowe. Dawvta - jakie to imię? Prompt Use case II Prompt engineering Pobieram dane z dokumentu używając OCR. Dane są w języku polskim. Niestety, OCR nie jest dokładny. W polu "imię" zwrócił Dawvta. Jakie to może być imię? Jeśli OCR odczytał imię jako „Dawvta", to najprawdopodobniej jest to błąd rozpoznawania tekstu, zwłaszcza że litera „w" może zostać błędnie zinterpretowana jako „v", a litera „t" może wynikać z pomyłki w rozpoznaniu liter. Najbardziej prawdopodobnym imieniem, które to może być, jest: Dawid
  • 95.
    Jeśli OCR odczytałimię jako „Dawvta", to najprawdopodobniej jest to błąd rozpoznawania tekstu, zwłaszcza że litera „w" może zostać błędnie zinterpretowana jako „v", a litera „t" może wynikać z pomyłki w rozpoznaniu liter. Najbardziej prawdopodobnym imieniem, które to może być, jest: Dawid Jeśli OCR odczytał imię jako „Dawvta", to najprawdopodobniej jest to błąd rozpoznawania tekstu, zwłaszcza że litera „w" może zostać błędnie zinterpretowana jako „v", a litera „t" może wynikać z pomyłki w rozpoznaniu liter. Najbardziej prawdopodobnym imieniem, które to może być, jest: Dawid Pobieram dane z dokumentu używając OCR. Dane są w języku polskim. Niestety, OCR nie jest dokładny. W polu "imię" zwrócił Dawvta. Jakie to może być imię? Prompt Use case II Prompt engineering Pobieram dane z dokumentu używając OCR. Dane są w języku polskim. Niestety, OCR nie jest dokładny. W polu „imię" zwrócił Dawvta. Jakie to może być imię? Najprawdopodobniej jest to imię występujące w Polsce. Jeżeli kończy się na a, to najprawdopodobniej jest to imię żeńskie. Jeśli OCR odczytał imię jako „Dawvta”, to najprawdopodobniej jest to błąd rozpoznawania tekstu. Jeśli kończy się ono na literę „a", istnieje duża szansa, że jest to imię żeńskie. Najbardziej prawdopodobnym imieniem, które może zostać błędnie rozpoznane w ten sposób, jest: Danuta
  • 96.
    dokładny. W polu„imię" zwrócił Dawvta. Jakie to może być imię? Najprawdopodobniej jest to imię występujące w Polsce. Jeżeli kończy się na a, to najprawdopodobniej jest to imię żeńskie. to najprawdopodobniej jest to imię żeńskie. Pobieram dane z dokumentu używając OCR. Dane są w języku polskim. Niestety, OCR nie jest dokładny. W polu „imię" zwrócił Dawvta. Jakie to może być imię? Najprawdopodobniej jest to imię występujące w Polsce. Jeżeli kończy się na a, to najprawdopodobniej jest to imię żeńskie. Jeśli OCR odczytał imię jako „Dawvta”, to najprawdopodobniej jest to błąd rozpoznawania tekstu. Jeśli kończy się ono na literę „a", istnieje duża szansa, że jest to imię żeńskie. Najbardziej prawdopodobnym imieniem, które może zostać błędnie rozpoznane w ten sposób, jest: Danuta Prompt Use case II Prompt engineering Pobieram dane z dokumentu używając OCR. Dane są w języku polskim. Niestety, OCR nie jest dokładny. W polu "imię" zwrócił Dawvta. Jakie to może być imię? Najprawdopodobniej jest to imię występujące w Polsce. Jeżeli kończy się na, a to najprawdopodobniej jest to imię żeńskie. Zwróć samo imię, bez dodatkowych informacji. Danuta
  • 97.
    Context grounding Treść zapytania (promptu) Źródłodanych do context groundingu Źródło danych do context groundingu (plik/index w Storage Bucket) Use case II
  • 98.
    Podsumowanie R e in v e n t t h r o u g h t e c h n o l o g y
  • 99.
    Q&A R e in v e n t t h r o u g h t e c h n o l o g y
  • 100.
    Dziękuję za uwagę Re i n v e n t t h r o u g h t e c h n o l o g y
  • 101.
    Mikołaj Zieliński UiPath MVP,UiPath Lead @Proservartner How AI can save lives. A use case powered by UiPath Apps and AI
  • 102.
    How can AIsave lives? A use case powered by UiPath Apps and AI
  • 103.
  • 104.
    Our Team Mikołaj Zieliński ŁukaszPahlke Srinivas Kadamati Shravari Patil
  • 105.
    Science or Fiction? Currentchallenges of medicine
  • 106.
    Targeted treatment -biorobots Current challenges of medicine
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    Targeted treatment -biorobots Current challenges of medicine
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    Computing on DNA-Processor Current challenges of medicine 2012 – First computer data were saved and read from DNA 2023 – First DNA based processor created* *https://pmc.ncbi.nlm.nih.gov/articles/PMC10586678/ Scientists have created a new biocomputing chip that makes calculations using a DNA substrate, including mathematical operations essential to artificial intelligence (AI) training and big data processing. The most important question was already asked!
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    Targeted treatment –Fold It The game which cured the AIDS
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    Targeted treatment -Probability Current challenges of medicine 6,74% Very light and light red hair 23,05% Dark blonde and red hair 13,05% Chestnut hair 26,51% Dark brunette hair 30,65% Dark hair 1,3% Chestnut hair on head and partially red beard 243,000
  • 112.
    Targeted treatment -Probability Current challenges of medicine 1 out of 9 criteria* • HLA Antigen Compatibility – 5 main HLA antigens (HLA-A, HLA-B, HLA-C, HLA- DRB1, HLA-DQB1). • Allele-level HLA Matching – precise matching at the allele level for each HLA antigen. • Age of Donor and Recipient – affecting the vitality of stem cells. • Donor and Recipient Gender – can influence the risk of complications. • Donor’s Health Condition – important for the quality of stem cells. • Blood Type – compatibility can reduce the risk of complications. • Viral and Latent Infection Compatibility – particularly important for CMV status. • Non-HLA Gene Compatibility – additional genes related to immune response. • Microbiome Compatibility – potential influence on the recipient’s gut colonization post-transplant. * Hair colour is just example and does not impact donor matching
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    Targeted treatment -Probability Current challenges of medicine 38 000 000 Population of Poland 1,8 000 000 Population of Warsaw 100 Devs4Devs attendees 1: 20 000 Most popular HLA combination for Polish Ethnicity Group 1: >90 000 000 Other HLA combination in Polish Ethnicity Group 0,005% That in this room you will find donor 0,00000000001 That in Poland you will find donor
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    Targeted treatment –Probability - Banks Current challenges of medicine 15 Number of Donors Banks in world 37 000 000 Number of Registered Donors 8 000 000 000 Human population on earth 400 000 Statistical number of matched for one patient in entire human population
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    What can wedo about this?
  • 119.
    The idea What canwe do to help?
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    The idea Example –Synthetic Data Matching candidates' profiles
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    Bold transformation. Realresults. Delivered with assurance, speed and impact.​ We partner with clients to design and implement next generation operating models, processes and automation.​ Proservartner brings experienced practitioners, data, tools and independence to unlock client opportunities.​​
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    Michał Cholewski Automation Specialist @Orsted Howdedicated platform team enables fast delivery in UiPath environment
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    How dedicated platformteam enables fast delivery within UiPath domain Michał Cholewski 14.11.2024 Devs4Devs UiPath Community Day Warsaw
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    125 - 6 yearsof RPA experience - Ørsted since August 2019 - Senior Developer in Automation Team - part-time Scrum Master - Animal health & welbeeing Inspector - RPG geek - Cooking & consuming enthusiast Michał Cholewski
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    127 DevOps is partof a Platform
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    130 The Invisible Tasks CI/CD Pipelines New Process Setup NewBusiness Users Robot Configuration Upgrades Policy
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    131 The Invisible Tasks CI/CD Pipelines New Process Setup NewBusiness Users Robot Configuration Upgrades Policy + D e v e l o p m e n t
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    134 Benefits-Costs Benefits Costs Limited AdminUsers Development Power Proactive Monitoring Orchestration Knowledge Clear Roles and Expectations Efficient, documented workflow Fast, carefree upgrades Fast, reliable deployments Faster delivery for supported teams
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    Kamil Miśko UiPath MVP,Senior RPA Developer/Solution Architect @Zurich Insurance MVP Program open applications: learn all about our top community experts and advocates, the UiPath MVPs
  • 138.
    Why being UiPathMVP is so cool?
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    Steps -> Deadlines-> Tips Key Dates 10 Oct – 24 Nov Application period Online campaigns 15 Oct – 5 Dec Application review/ CMTY Interview & Tech Interview with MVPs 5 Dec – 15 Jan Product Interview (PM) 15 Jan – 30 Feb Announcement Preparation February 2025 Official Announcement Maintain Your Forum Profile • Regularly update your profile with your activities. • This helps the Community team view your contributions in one place. • (Exception: No need to add Forum solutions and UiPath Insider activities as they are already tracked) Complete Your MVP Application Thoughtfully • Share how you have supported others over the past year, not just your future plans as an MVP. • Highlight specific actions that showcase your dedication to the UiPath Community Demonstrate Your Passion • Your activities should reflect genuine enthusiasm for automation and community building. Avoid Using ChatGPT for Key Questions • Especially for Questions 12, 15, and 25—applications suggest these should be in your own words for authenticity Useful Tips for UiPath MVP Application UiPath Community MVP | UiPath Homepage | UiPath UiPath Community Forum
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    142 Thank you allfor joining us in Warsaw! Join the UiPath Community Warsaw – Krakow chapter: https://community.uipath.com/warsaw- krakow/