The document discusses how the author built a personal dashboard to track various aspects of their life, including clothing worn, time spent, library books checked out, and vegetables received from a CSA program. This helped the author visualize their data, make better decisions, and experiment with different tracking ideas. The author encourages others to build their own personalized dashboards to quantify self and find new insights.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
Quantified Self 2012: Quantified Awesome - Tracking Clothing, Time, Stuff, and Other Things with a Personal Dashboard
1. I'm Sacha Chua. I want to convince you that it's well worth investing the time and effort into
building a personal dashboard that brings together the different things that you track.
2. This is my dashboard. It's a Ruby on Rails site that I've been gradually adding to over the past
year. Let me show you an example of how this helps me change the way I live.
3. I started tracking my clothes because I was curious about what small thing I could start tracking
every day. I also wanted to see if I could use the data to simplify my wardrobe.
4. At first, I tried tracking this on paper, using numbers that I'd Sharpied onto the tags of my
clothing. That didn't work out so well because I had duplicate records and missing records.
5. So I started building this website, logging the clothes as I wore them. After the first month or so,
I realized that pictures would make it much easier to pick the clothes. I spent about two hours
taking pictures of most of my clothes.
6. Now it's super-easy to log what I'm wearing - I simply click on the picture or search for the
description and log it. I do this every morning, although sometimes I still forget. It's easy to catch
up.
7. It turns out that minor tweaks make a big difference. I used to sort the clothing by color so that I
could see similar clothes together and maybe use colour theory to suggest
8. Sorting it by last-worn date was much better, though, because then I was encouraged to load-
balance my clothes. That way, I wasn't always wearing the same clothes again and again.
9. WHAT ELSE?
I couldn't find an existing application that did what I wanted to do, so I'm glad that I built my
own using a little scripting. Since I was looking at this page every day, I wondered: what else do I
want to put on it?
10. Time Recording Tap Log Records
I'd been tracking my time using some apps for my Android phone. I started with Time Recording
because it was great at exporting data. I'd been trying Tap Log Records too because it lets you
note other things in addition to time.
11. I wanted to integrate time tracking into my dashboard, too, so I added a very simple time-
tracking feature. It wasn't as fancy or flexible as the apps I used, but it worked the way I wanted
to work.
12. Since images made it much easier to make clothing decisions, I looked for ways I could visualize
time so that I could more easily make time decisions. I made a few bullet graphs to help me zero
in on my targets.
13. Bullet graphs (image from Wikipedia)
A bullet graph is a compact graph that shows your thresholds and actual performance. That way,
you can easily see where you are in the range and how far you have to go. I colored my graphs
red or green to make it easy to glance at them.
14. In addition to the bullet graphs, I also visualized how I was spending my time. I wanted to see if
my sleep times were all over the place (they vary a bit) and get a rough idea of how my day
went.
15. When I was tracking clothes, I looked at this dashboard daily. Tracking time meant that I was
now checking it hourly or even more frequently. That made it even easier to make tracking and
reviewing part of my routines.
16. I also started using the time data as part of my weekly review and planning process. If I spent
less time on a personal project one week, I tried to spend more time the following week.
18. My husband and I are big fans of the Toronto Public Library. We borrow so many items that it
can be hard to track what's due, so I added some code to my dashboard to get the data from the
library system and show me the next date.
19. Since I already had the data, I figured I'd get it to keep my reading history too. Knowing that
we've checked out more than 500 items over the last six months makes me feel
20. We'd also signed up for a community-supported agriculture program some time ago, and I
wanted to track just how much we received of each type of vegetable.
21. So I added that to my dashboard as well. Every time we received a box of vegetables, I weighed
the vegetables and updated my dashboard. We used this to prioritize our cooking so that we
remembered to use up old vegetables.
22. After a couple of seasons, I had a lot of data on what we received, what we ate, and what we
ended up throwing away. Based on that data, we decided to try just buying our own vegetables.
That's going well, too.
23. There are all these little tracking ideas that you might not find a pre-built application for. Sure,
you can track them on paper or in a spreadsheet - those tools are very flexible.
24. But it's worth learning how to build a personal dashboard with your own simple tracking tools.
That way, you can experiment with all sorts of ideas, and maybe even cross-reference your data.
25. You can play around with the way you review your data, and discover how you can use that data
to make new decisions easily. When you make data part of the way you make decisions, tracking
becomes a lot more fun -- and useful.
26. You might even decide to share some of your data publicly, like the way I do at
QuantifiedAwesome.com. I share my clothing records just for fun. Ever since I started doing so, I
haven't had a pajama day - I always want to have something up there!
27. You might even decide to share some of your data publicly, like the way I do at
QuantifiedAwesome.com. I share my clothing records just for fun. Ever since I started doing so, I
haven't had a pajama day - I always want to have something up there!
28. If you'd like to play around with some of these ideas, check out quantifiedawesome.com. You
can actually register with a new account, Google, or Facebook, and try out some of these ideas.
It's totally a hobby project, so I'd love your feedback.
29. But dashboards are very personal and you'll probably want to tweak things to fit the way you
work, so I've also released the source code under the MIT license. Look for the "Source" link in
the footer of quantifiedawesome.com
30. If I can help you with any questions or you'd like to bounce around some ideas, find me on
Twitter as @sachac, check out my data at QuantifiedAwesome.com, or read my blog at
LivingAnAwesomeLife.com. Happy to help!
Editor's Notes
This is my dashboard. It's a Ruby on Rails site that I've been gradually adding to over the past year. Let me show you an example of how this helps me change the way I live.
I started tracking my clothes because I was curious about what small thing I could start tracking every day. I also wanted to see if I could use the data to simplify my wardrobe.
At first, I tried tracking this on paper, using numbers that I'd Sharpied onto the tags of my clothing. That didn't work out so well because I had duplicate records and missing records.