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HyperHack 2023 Guide: Demos, Categories, Deadlines
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- 2. 2 In this session, you'll get a detailed insight into: • Introduction to HyperHack 2023 • What is a hackathon and how to participate? • Overview of rules and categories • Demos of AI-Powered Automation Solutions • Demos of Core Business Automation Solutions • Judging criteria and prizes • Submission guidelines and deadlines • Tips on identifying your use case • Tips on how to present and demonstrate your idea or project. What’s Next? Ongoing help and support from MVPs, UiPath Forum, Upcoming Sessions Agenda
- 3. Diana Gray Community Marketing Manager AMER At UiPath Meet our team: Joe Edwards Senior Product Marketing Manager at UiPath Tracy Dixon Operational Excellence & UiPath Partnership Lead Centric Consulting & 4X UiPath MVP Dhruv Patel Senior Sales Solution Architect at UiPath Veronica DeSalvo Discovery Engineer at UiPath Melody He Solution Architect at UiPath Ashritha Kallu RPA Developer at UiPath KJ Fenton Global Technical Enablement Manager at UiPath George Roth AI Evangelist at UiPath
- 4. 4 • Are you a problem solver within your team or organization? • Are you interested in creating effective, ground-breaking solutions with UiPath technology? • Do you often think of innovative use cases for any business problem that you come across? The UiPath Community invites you to choose your challenge from one of two categories and contribute to bringing automation ideas to life by identifying viable solutions. For details and support for the UiPath HyperHack 2023, please visit The HyperHack 2023 page at: https://community.uipath.com/e/mwx32h/ or the UiPath Forum Page at: https://forum.uipath.com/t/uipath-community-hyperhack-2023-is- live-register-now/553983 Introduction to HyperHack 2023
- 5. 5 • Hackathon is a word creation of the words hack(-ing) and marathon. In this context, hacking stands for the development of software- or hardware-solution and the marathon describes the format, which is completed in a short-time duration. • Usually, hackathons are open for several hundred hackers to compete. • The goal of a hackathon is to develop a solution for a given problem. The solution can be in different forms: it could be a pitch deck containing the concept and business model, a mockup/wireframe of an app or functioning software or hardware prototypes. What Is a Hackathon?
- 6. 6 1. AI-Powered Automation Solutions New AI-powered innovations push automation’s boundaries even further. With AI and RPA, businesses can identify new opportunities, reduce costs, and improve productivity. UiPath’s AI suite of products helps you orchestrate all moving pieces of AI, enabling you to instantly apply the limitless cognitive power of AI to any software currently being automated by RPA. We challenge you to automate any Enterprise, Public Administration or Non-Profit Organization use case with UiPath automation and AI Solutions. 2. Innovation Through Core Business Automation Solutions We challenge you to use at least 2 UiPath technologies/tools to build a solution to solve any Enterprise, Public Administration or Non-Profit Organization use case. It can be an out-of-the- box automation designed to benefit every employee at your organization or a unique personal assistant/automation. You can also use UiPath partner technologies to supplement your automation ideas. For example: Chatbots, APIs etc. Categories
- 7. 7 Who can participate? • RPA Professionals • AI/Business Analysts • Solution Architects • Enterprise Customers • Partners • Student Software Developers • Engineers • Testers • Anyone with ideas and automation skills
- 8. 8 📅 Key Dates: • June 15 - Registrations Open • June 22 - Enablement sessions begin • July 6 - Enablement session • July 14 - Last date to register for the hackathon • July 21 - Last date for submitting a functional demo of your idea/solution • July 31 - Selected teams/Finalists to be notified • August 3 - Final Live Jury Round • August 7 - Winner’s announcement Key Dates:
- 9. 9 • The solution that you're submitting must not be available as a solution or component on the UiPath Marketplace Winner section of previous UiPath Hackathons or presented in current UiPath Sponsored Hackathons (However, you may extend an existing solution, for example, a connector for Salesforce but with enhanced functionalities beyond the connector already available in the Marketplace.) • You can join as an individual or in teams of a maximum of 4 people. When submitting, only one of you will submit the final projects to be assessed. • Everyone in the team needs to register separately to the hackathon. • You can submit more than one solution as a participant or team. Rules & Regulations
- 10. 10 Demos of AI-Powered Automation Solutions
- 11. 11 Think beyond UI – automate APIs and integrate AI Easily drag and drop AI/ML models and APIs into your workflows Processes Applications Documents Data Semantic Automation Automate UI AI API Low-code development experiences
- 12. 12 Example AI Use Cases • Description: https://forum.uipath.com/t/ai- challenge-efficient-product-sequencing- recommendation- model/514055?_gl=1*1thfwtn*_gcl_au*MTQ5 OTUyMjUwNy4xNjgwMDIyNTkw • UiPath Products Used: Studio, AI Center • External Products Used: Python, Sci-Kit, Pandas, Numpy, Vscode Efficient Product Sequencing • Description: The UiPath robot will use an AI model developed by Skymind to screen resumes for a data scientist position. It'll use the AI model to make decisions about the candidates and, when not sure, request help from an operator. The operator will teach the robot and that decision will be used to improve the model's accuracy and confidence. • UiPath Products Used: Studio, AI Center • External Products Used: Visual Studio Resume Screening ChatGPT for Testing • Description: Leverage ChatGPT to generate test data to support any regression, application and/or automation testing efforts. • UiPath Products Used: Studio *Testing activity pack) • External Products Used: ChatGPT
- 13. 13 Workflow Design Example Efficient Product Sequencing
- 14. 14 Advantages of using UiPath with Gen AI for Automation More than calling a Generative AI Model Context Gathering Specialized Models Robots Do Work Human In The Loop Confidence in governance UiPath also has Specialized models to complement Gen AI interactions Gen AI needs context, UiPath can gather the context from all sources Gen AI is just a brain, Automation is the muscle that does the work Gen AI “hallucinates”. There are times you can not get things wrong Your business is governed with audit logs and controls while using Gen AI with UiPath
- 15. 3 Patterns for Gen AI Powered Automations A use case may use 1 or multiple patterns Pattern 1 Reader / Writer Pattern 2 Pattern 3 Analyst / Doer Assistant UiPath can execute processes as a result of LLM calls UiPath can gather context from multiple sources to generate and distribute personalized messages UiPath can add context and action to conversational assistants UiPath Advantage Source 1 Source 2 Source 3 Source 4 LLM Ingest Analyze Data Next Best Action System 1 System 2 System 3 System 4 Do LLM System 1 System 2 System 3 System 4 Do Conversational Interface Human Knowledge Response Action OR Source 1 Source 2 Source 3 Source 4 LLM Read Write Emails Summaries Content
- 16. 16 Pattern 1 - Reader / Writer Description: LLMs are great at taking context and generating personalized text, whether longer or shorter than the original context. UiPath is collecting all the relevant context and prompting the LLM for text. UiPath can keep a human in the loop to fine tune the output. Example Use Cases Cold Call Emails Gather context about your audience and generate email Customer Feedback Response Gather sentiment and customer history to generate tailored response Proposal Writer Combine multiple answers from your KB with additional context for a tailored answer to a proposal question Applicant Communications Combine feedback from interviewers, JD details, and applicant resume for tailored communications Customer Summary Summarize customer history, support ticket history, etc. for faster consumption by customer facing agents Email/PMO Summarizer Summarize information from PM tools, emails, other sources for faster executive overviews KYC Summarizer Gather and summarize materials from multiple sources for faster KYC review Compliance and ESG Reporting Monitor data and reports from multiple systems/source and generate consistent reporting Product Documentation Create and maintain product documentation summarizing information from feature tickets and marketing Fraud Communications Generate correspondence with customers collating information multiple systems Insurance Claims Communication Communicate to Customers around their claims request synthesizing information from multiple systems Healthcare Appeals Communication Tailor communications to customers about using information about the customer and the circumstance Human Input and Validation Human in the loop Source 1 Source 2 Source 3 Source 4 LLM Read Write Emails Summaries Content System 1 System 2 System 3 System 4 Distribute
- 17. 17 Pattern 2 – Analyst / Doer Description: LLMs can generate structured output (data tables, code, XML/JSON) from multiple unstructured sources when prompted well. UiPath is collecting the relevant sources and prompting the LLM to generate structured outputs. Critically, UiPath can validate the contents of the structured outputs vs. systems of record or humans. UiPath can further execute processes based on the output. Source 1 Source 2 Source 3 Source 4 LLM Ingest Analyze Data Next Best Action System 1 System 2 System 3 System 4 Do/Validate Human Input and Validation Human in the loop Example Use Cases Multi-Source Report Creating Gather reporting from different systems, documents, and emails and combine them into one set Structuring and Normalizing Data Normalize data from different sources into a common schema 2 Way Match (Generic Reconciliation) Normalize data from multiple systems and further reconcile the two noting differences for humans to validate Contact Center Next Best Action Gather context from sources, recommend an action from a list and execute the action After Call Work (Action Item Doer) Extract actions from call scripts for follow-up. Execute those automatable. Upsell / Cross-sell Assistant Gather customer history and needs, generate a recommendation for what to sell, and a script to sell it Contract Extractor Extract structured data out of contracts / amendments, validate against sources, and input into systems Company Filing Extractor Extract key figures out of company filings, validate with human, and use in processes Test Data Creator Generate test data for application testing and insert it into the system using UiPath Generic Classifier Take in unstructured sources and classify against a list of defined options. Use this data as input for processes Competition Analysis Monitor pricing, news, reviews of competitors and extract structured findings Vendor Selection Analyze proposals from multiple vendors, extract key differentiations, and recommend a vendor
- 18. 18 Pattern 3 - Assistant Description: The most common use case enterprises are building is a custom ChatGPT on their own knowledge sources. UiPath can augment and enrich these chat interfaces with more knowledge sources, either directly in the LLM or in the prompt. For assistant interactions that result in an action, UiPath be used for last-mile process execution. LLM System 1 System 2 System 3 System 4 Do Conversational Interface Human Knowledge Response Action OR Human in the loop Example Use Cases Knowledge Base Assistant Use UiPath to augment the knowledge accessible to the LLM. Vectorize databases or embed in the prompt. Support Escalation Assistant Variation of a Knowledge Base Assistant focused on customer support escalations. Learning Assistant UiPath can help find courses from different learning platforms and recommend one for a user Self Service Helpdesk LLMs will create enhanced assistant interfaces. Execute common tasks behind the scenes with UiPath. Employee Benefits Assistant Answer employee questions about benefits and automate benefit selection / changing Employee Travel Concierge UiPath can bring in context on travel policy and flight/hotel data to allow users to book compliant trips faster Legacy System Augmenter Legacy systems likely won’t have LLMs integrated. UiPath can be used to bring LLM experiences to old systems. Localization Assistant LLMs have become decent at localizing to different languages. UiPath can help validate the output against other tools Supply Chain Buyer Assistant A conversational interface help speed up inventory management and ordering across suppliers for buyers Personalized Assistant (JARVIS) Use a conversational interface to perform more Reader/Writer and Analyzer/Doer actions Guided Form Entry A conversational interface collects & validates input from users. UiPath can input those answers into a system. Ask GPT (Document) Gather a specific document with automation and then allow users to ask questions about it
- 19. 19 2 Way Match Invoice Processing This process matches invoices to purchase orders to ensure accurate payment. This process ensures that only valid invoices with valid line items are paid, reducing the risk of fraud and errors; save time and money, and improve their relationships with business partners. Generative AI reduces the development complexity and enables developers to handle complex validation logic with natural language prompts! Increased Process Efficiency​ Improved Accuracy, Clear Compliance & Audit Trail Reduced Development Complexity Reduced Risk & Cost Savings Process: Invoice 2 Way Match & Gen AI Leverage the power of UiPath Document Understanding and Generative AI to seamlessly process invoices Natural language to prompt GenAI to handle the validation logic Automations handle processing, involving a human when needed Pattern 2
- 20. 20 MeetingAI How it works 45 minutes saved in follow-up per meeting! & Gen AI Zoom Recording Triggers Automation Meeting Gen AI: Extract action items Summarize meeting Microsoft Azure OpenAI Gen AI: Compare action items to list of existing automations Get Documentation Microsoft Azure OpenAI Get meeting times Get recording link Compose email [Meeting Summary] [Follow-up items] [Action items] Less time spent on admin tasks after meetings Send email More time for account strategy, market research, meeting preparation List of Automations supplied by robot Pattern 1 & 2
- 21. 21 Subject: Create automations and use collection of prompts to solve tasks by accessing LLMs. This can be combined with other AI are techniques and models. Definition: Prompt engineering is a concept in artificial intelligence, particularly natural language processing. In prompt engineering, the description of the task that the AI is supposed to accomplish is embedded in the input, e.g. as a question, instead of it being explicitly given. Prompt engineering typically works by converting one or more tasks to a prompt-based dataset and training a language model with what has been called "prompt-based learning" or just "prompt learning". Reads and Examples: Prompt engineering for reusable activities (68) ChatGPT: 5 Prompt Engineering Secrets For Beginners – YouTube Promptbase.com Function Calling Prompt Engineering
- 22. 22 • Impact 25% - We want to understand the value that your idea will bring to society or the specific organization. Is it far-reaching, does it help a particular organization already, or do they expect to see changes in how they do their work in the coming months? • Concept 20% - We’ll evaluate your idea to see if it is disruptive or innovative while adding value to enterprise business • Technology 25% – We'll evaluate your solution on how effectively and efficiently you've used UiPath products and if you've integrated those with the ecosystem of other technologies. • Completion 20% - How complete is the solution? Have you delivered what you wanted? • Presentation 10% - We will assess how well articulated your solution is and if your presentation is precise. Judging Criteria
- 23. 23 Category 1 Prizes: AI Powered Automation Solutions • 1st Prize – $4,500 award • 2nd Prize – $3,000 award • 3rd Prize – $1,500 award • UiPath HyperHack Certificate for all Finalists Category 2 Prizes: Innovation through Core Business Automation Solutions • 1st Prize – $4,500 award • 2nd Prize – $3,000 award • 3rd Prize – $1,500 award • UiPath HyperHack Certificate for all Finalists Awards
- 24. 24 • The submission deadline is July 14, 2023. If you're submitting as a team rather than as an individual, you only need to fill in one submission form per team. The entire idea needs to be fully functional so the judges can review it. Your Submission must include the following list and avoid rejection. • PDD (Process Design Document)/Solution Diagram [Recommended Using Task Capture] • Project Files / Workflow • Presentation (no longer than ten slides) - Please use this template. [Download a copy of the template to build your presentation] • Solution Video (no longer than 5 minutes) • Additional Scripts (if applicable) Submission Guidelines
- 25. 25 A hackathon history 1. US Treasury (Washington DC) - 2012 – 2018 as a Product and Program Manager - Led R&D Lab exploring new technologies, where I first started working with UiPath - We built Treasury’s first mobile apps for check deposit and relationships with PayPal, Apple Pay, etc. 2. -> UiPath (Atlanta) - 2018 - present - Focus areas - Sharing how an automation company automates itself (and supporting internal hackathons) - Evolving automation user interfaces (UiPath Apps) - Evangelizing our AI products 3. It’s great to talk with you all - Feel free to connect on LinkedIn Joe Edwards Product Marketing @ UiPath Treasury’s eCommerce Incubator
- 26. 26 Solve a personal pain point Imagine your solution used by 1,000 busy non-technical people LeverageAI in unexpected ways A video’s V2 is more important than the V1
- 27. 27 Tips on identifying your Use Case
- 28. 28 Considerations for Core and AI/DU use cases: - High volume & high time saving - Repetitive Manual process - Look at things that you or others are doing everyday. How can it be improved by automation, either in personal or professional life? - Choose use cases that you can be excited about and have a positive impact on your life or others Additional consideration for AI/DU use cases: - Ease of digitization - Ease of classification - Access to samples documents - Leveraging OOTB Pre-Train ML model - Understanding Document Structure: Structured, Semi-Structured, and Unstructured Documents - Variation of document - Number of Extraction fields - Document Splitting needed? - Number of languages the documents comes in from - Handwritten contents for extraction? - Post processing Options for process robustness How to select an Ideal Core and AI/DU use case
- 29. 29 Tips on how to Present and Demonstrate your Idea or Project
- 30. 30 How to Present and Demonstrate your Idea or Project Problem Statement: Briefly mention what is the problem you are trying to solve. Solution: What is the solution you proposed and approach you took to solve this problem. Technologies: Mention all the technologies used in your solution including the UiPath products. End-users: Discuss the end-user/market opportunities for your solution. Explain how it addresses a pressing need or solves a problem faced by specific group. Features: Include key features Results and Impact: If any data/metrics are derived from your solution, present it to demonstrate the impact and potential scalability of your project Solution Architecture: You can optionally show the solution/technical architecture. Use clear text, relevant images and diagrams to enhance understanding and engagement. Demo: Create a presentable prototype or demo that illustrates core features and functionalities of your project. Try to effectively communicate value of your solution.
- 31. 31 What’s Next? Ongoing help and support from MVPs, UiPath Forum, Upcoming Sessions UiPath Forum - https://forum.uipath.com/t/uipath-community-hyperhack-2023-is-live-register-now/553983 • Slack - https://uipathcommunity.slack.com • Forum Use-Case Repository – We'll evaluate your solution on how effectively and efficiently you've used UiPath products and if you've integrated those with the ecosystem of other technologies. https://forum.uipath.com/t/submit-use-case/312214 • MVP Assistance on Forum – Meet the team below and there are more… Tracy Dixon Operational Excellence & UiPath Partnership Lead Centric Consulting & 4X UiPath MVP Priya Darshini UiPath MVP RPA Solutions Architect & 4X UiPath MVP Sharon Palawandram Senior Machine Learning Consultant Ashling Partners & UiPath MVP Russel Alfeche Technology Leader, RPA qBotica & UiPath MVP Jeremy T. Gilliland RPA CoE Lead, RPA Global Innovation Award Winner & UiPath MVP
- 32. 32 Q&A