V rámci předmětu Seminář webdesignu na FI MUNI jsem přednášel pro nadšence webdesignu. Nemůžu jinak než se o přednášku s vámi podělit a všem studentům FI doporučit tento předmět.
Kolik stojí digitální marketing? [Czech Internet Forum, 2011]Marek Baco
[CZECH] Stručný pohled na hlavní digitální kanály, modelové a hrubé rozložení marketingového rozpočtu pro finanční instituci, která chce získávat zakázky prostřednictvím onlinu a zároveň podporovat brand. (Prezentace z konference CIF 2011 - http://www.tuesday.cz/akce/czech-internet-forum-2011)
Copywriter s přesahem do SEO a UX? Nutnost! | Copycamp 2016 | 8.6.2016Jan Kvasnička
Přednáška "Copywriter s přesahem do SEO a UX? Nutnost!" zazněla na šestém ročníku konference Copycamp.cz a o své praktické příklady se zde podělila dvojice #SEOUX Jan Kvasnička a Pavel Ungr. Více v článku http://blog.kvasnickajan.cz/copywriter-s-presahem-do-seo-a-ux-nutnost/.
V rámci předmětu Seminář webdesignu na FI MUNI jsem přednášel pro nadšence webdesignu. Nemůžu jinak než se o přednášku s vámi podělit a všem studentům FI doporučit tento předmět.
Kolik stojí digitální marketing? [Czech Internet Forum, 2011]Marek Baco
[CZECH] Stručný pohled na hlavní digitální kanály, modelové a hrubé rozložení marketingového rozpočtu pro finanční instituci, která chce získávat zakázky prostřednictvím onlinu a zároveň podporovat brand. (Prezentace z konference CIF 2011 - http://www.tuesday.cz/akce/czech-internet-forum-2011)
Copywriter s přesahem do SEO a UX? Nutnost! | Copycamp 2016 | 8.6.2016Jan Kvasnička
Přednáška "Copywriter s přesahem do SEO a UX? Nutnost!" zazněla na šestém ročníku konference Copycamp.cz a o své praktické příklady se zde podělila dvojice #SEOUX Jan Kvasnička a Pavel Ungr. Více v článku http://blog.kvasnickajan.cz/copywriter-s-presahem-do-seo-a-ux-nutnost/.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
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
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
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.
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.
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
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
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/
2. Scatter-Gather is an important component in Mule that sends a request message to multiple targets
concurrently. At the end it collects the responses from all routes, and aggregates them into a single message.
5. To implement scatter-gather in Mule lets consider the following flow:-
You can see that there is two flow reference after scatter-gather which means it will process 2 flows
concurrently .
6. The other 2 sub flows are here:-
Now, You will see that these two flows will run concurrently and at the end the payloads from both the
flow will be merged .
8. Now, our flow is ready .. If we can test our flow using the url :- http://localhost:8090/scattergather
and we will get in logs as follows :-
You can see both the flow ended up concurrently and scatter-gather has merged the
payload fro both the flows at the end
9. In my next slide I will bring some other techniques in Mule implementation .
Hope you have enjoyed this simpler version.
Keep sharing your knowledge and let our Mule community grow
