Artificial Intelligence: Winning the Red Queen’s Race Keynote at ESPC with Jen Stirrup

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Artificial Intelligence is popularised in fiction films such as “The Terminator” and “AI: Artificial Intelligence”. Now, artificial intelligence is becoming closer to being a part of our daily lives through the use of technologies like virtual assistants such as Cortana, smart homes, and automated customer service. Now, we are running the Red Queen’s race not just to win, but to survive in a world where Artificial Intelligence is becoming the present as well as the future of technology, and futurist ideas are developing into reality at accelerated rates. How can you help your your company to evolve, adapt and succeed using Artificial Intelligence to stay at the forefront of the competition, and win the Red Queen’s Race? What are the potential issues, complications and benefits that artificial intelligence could bring to us and our organisations? In this keynote, Jen Stirrup explains the quick wins to win the Red Queen’s Race, using demos from Microsoft technologies such as AutoML to help you and your organisation win the Red Queen’s race.

Artificial Intelligence: Winning the
Red Queen’s Race
Jen Stirrup
Data Whisperer, Data Relish Ltd, UK
Microsoft MVP, Regional Director

JenStirrup
• Boutique
Consultancy Owner
of Data Relish
• Postgraduate
degrees in Artificial
Intelligence and
Cognitive Science
• Twenty year career
in industry
• Author
JenStirrup.com
DataRelish.com

Jen Stirrup
• http://bit.ly/JenStirrupRD
• http://bit.ly/JenStirrupLinkedIn
• http://bit.ly/JenStirrupMVP
• http://bit.ly/JenStirrupTwitter

Artificial
Intelligence can
offer businesses
great
opportunities.
Ideas are developing
into reality at
accelerated rates.

What is the Red Queen’s Race?
"It takes all the running you can
do, to keep in the same place.Ifyou
wanttogetsomewhereelse,you
mustrunat leasttwiceasfastas
that!"-TheRedQueen,ThroughtheLooking-Glass

https://www.success.com/blog/why-your-comfort-zone-is-the-most-dangerous-place-to-live

How do you get to success?
Start Small
Use Pre-baked

Look Horizontally across your business for
common goals

Look for the right AI capabilities to help you
meet business challenges

Define a roadmap of initiatives
https://pixabay.com/en/users/skeeze-272447/

Adapt
https://pixabay.com/en/users/dimitrisvetsikas1969-1857980/

The 5 ‘C’s of AI
Strategy
Customers
Competition
Costs
Create
Capitalize

Customers
https://pixabay.com/en/users/Wokandapix-614097/

Competition
https://pixabay.com/en/action-marathon-running-asphalt-1837158/

Costs
https://pixabay.com/en/users/congerdesign-509903/

Create
https://pixabay.com/en/users/Somraya-1449970/

Capitalize and Optimize
https://pixabay.com/en/users/niekverlaan-80788//

Automated Machine Learning
•Automated ML
occurs in the
following places:
•Azure Notebooks
•Azure Portal

Don’t know which
model to choose?
•Auto ML helps
choose the
right model(s)
for your data
•Using AI to do
AI!

This tutorial was developed especially for..
• You!
• I worked with the Auto ML
team to produce a demo… and
they published it online for
you to try.
• SO a HUGE THANK YOU to the
Auto ML team for their efforts
and help.
• They would love your
feedback!

The model chose
MinMaxScaler as the best
• Transforms features by scaling each feature to a
given range.
• This estimator scales and translates each feature
individually such that it is in the given range on
the training set, e.g. between zero and one.

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My slides at Nordic Testing Days 6.6.2024 Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.

HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU

panagenda

Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/ DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen! Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell. Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten. Diese Themen werden behandelt - Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten - Wie funktionieren CCB- und CCX-Lizenzen wirklich? - Verstehen des DLAU-Tools und wie man es am besten nutzt - Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw. - Praxisbeispiele und Best Practices zum sofortigen Umsetzen

Monitoring and Managing Anomaly Detection on OpenShift.pdf

Tosin Akinosho

Monitoring and Managing Anomaly Detection on OpenShift Overview Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices. Key Topics Covered 1. Introduction to Anomaly Detection - Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems. 2. Understanding Edge (IoT) - Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source. 3. What is ArgoCD? - Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices. 4. Deployment Using ArgoCD for Edge Devices - Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD. 5. Introduction to Apache Kafka and S3 - Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions. 6. Viewing Kafka Messages in the Data Lake - Learn how to view and analyze Kafka messages stored in a data lake for better insights. 7. What is Prometheus? - Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices. 8. Monitoring Application Metrics with Prometheus - Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system. 9. What is Camel K? - Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes. 10. Configuring Camel K Integrations for Data Pipelines - Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow. 11. What is a Jupyter Notebook? - Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text. 12. Jupyter Notebooks with Code Examples - Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.

GraphRAG for Life Science to increase LLM accuracy

Tomaz Bratanic

20240609 QFM020 Irresponsible AI Reading List May 2024

Matthew Sinclair

Microsoft - Power Platform_G.Aspiotis.pdf

Uni Systems S.M.S.A.

Generating privacy-protected synthetic data using Secludy and Milvus

Zilliz

During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.

UiPath Test Automation using UiPath Test Suite series, part 6

DianaGray10

Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI. UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities. Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes. What will you get from this session? 1. Insights into integrating generative AI. 2. Understanding how this integration enhances test automation within the UiPath platform 3. Practical demonstrations 4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath Topics covered: What is generative AI Test Automation with generative AI and Open AI. UiPath integration with generative AI Speaker: Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP

Mariano G Tinti - Decoding SpaceX

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Artificial Intelligence: Winning the Red Queen’s Race Keynote at ESPC with Jen Stirrup

2. Artificial Intelligence: Winning the Red Queen’s Race Jen Stirrup Data Whisperer, Data Relish Ltd, UK Microsoft MVP, Regional Director

3. JenStirrup • Boutique Consultancy Owner of Data Relish • Postgraduate degrees in Artificial Intelligence and Cognitive Science • Twenty year career in industry • Author JenStirrup.com DataRelish.com

4. Jen Stirrup • http://bit.ly/JenStirrupRD • http://bit.ly/JenStirrupLinkedIn • http://bit.ly/JenStirrupMVP • http://bit.ly/JenStirrupTwitter

5. Artificial Intelligence can offer businesses great opportunities. Ideas are developing into reality at accelerated rates.

7. What is the Red Queen’s Race? "It takes all the running you can do, to keep in the same place.Ifyou wanttogetsomewhereelse,you mustrunat leasttwiceasfastas that!"-TheRedQueen,ThroughtheLooking-Glass

8. https://www.success.com/blog/why-your-comfort-zone-is-the-most-dangerous-place-to-live

10.

11.

12. How do you get to success? Start Small Use Pre-baked

13. Look Horizontally across your business for common goals

14. Look for the right AI capabilities to help you meet business challenges

15. Define a roadmap of initiatives https://pixabay.com/en/users/skeeze-272447/

16. Adapt https://pixabay.com/en/users/dimitrisvetsikas1969-1857980/

17. The 5 ‘C’s of AI Strategy Customers Competition Costs Create Capitalize

18. Customers https://pixabay.com/en/users/Wokandapix-614097/

19. Competition https://pixabay.com/en/action-marathon-running-asphalt-1837158/

20. Costs https://pixabay.com/en/users/congerdesign-509903/

21. Create https://pixabay.com/en/users/Somraya-1449970/

22. Capitalize and Optimize https://pixabay.com/en/users/niekverlaan-80788//

23.

24.

25.

26.

27. Demo Analysing Handwritten Text

28.

29.

30. Automated Machine Learning •Automated ML occurs in the following places: •Azure Notebooks •Azure Portal

31. Don’t know which model to choose? •Auto ML helps choose the right model(s) for your data •Using AI to do AI!

32. This tutorial was developed especially for.. • You! • I worked with the Auto ML team to produce a demo… and they published it online for you to try. • SO a HUGE THANK YOU to the Auto ML team for their efforts and help. • They would love your feedback!

33.

34. The model chose MinMaxScaler as the best • Transforms features by scaling each feature to a given range. • This estimator scales and translates each feature individually such that it is in the given range on the training set, e.g. between zero and one.

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