How to be successful with Artificial Intelligence - from small to success

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Keynote from AI World Congress in October 2019. Artificial Intelligence isn't just for the technies; it is crucial that business-oriented individuals adopt this technology, which can be conceived as the fourth industrial age. Artificial intelligence is becoming closer to being a a part of our daily lives through the use of technologies like virtual assistants such as Alexa, smart homes, and automated customer service. Now, we are running the 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 race for AI adoption in your organization? What are the potential issues, complications and benefits that artificial intelligence could bring to us and our organisations? In this session, Jen Stirrup will explain the quick wins to win the Red Queen's Race in Artificial Intelligence.

JenStirrup.com
DataRelish.com
http://bit.ly/JenStirrupRD
http://bit.ly/JenStirrupLinkedIn
http://bit.ly/JenStirrupMVP
http://bit.ly/JenStirrupTwitter

Jen Stirrup
•Boutique Consultancy
Owner of Data Relish
•Postgraduate degrees in
Artificial Intelligence
and Cognitive Science
•Twenty year career in
industry
•Author
•http://bit.ly/JenStirrupRD
•http://bit.ly/JenStirrupLinkedIn
•http://bit.ly/JenStirrupMVP
•http://bit.ly/JenStirrupTwitter

How to be successful with Artificial Intelligence - from small to success

deep learning at Microsoft
• Microsoft Cognitive Services
• Skype Translator
• Cortana
• Bing
• HoloLens
• Microsoft Research
Microsoft
Cognitive
Toolkit

“We tend to
overestimate the
effect of a technology
in the short run and
underestimate the
effect in the long run”
- Roy Amara

8 ‘C’s of AI
• Customers
• Compete
• Capitalize
• Create
• Costs
• Challenges
• Calculate
• Cognition

Look Horizontally across your business for
common goals

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

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

Some ‘C’s of AI
Strategy
Customers
Competition
Capitalize
Create
Costs
Challenges
Calculate
Cognition

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

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

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

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

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

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This presentation explores the practical application of image description techniques. Familiar guidelines will be demonstrated in practice, and descriptions will be developed “live”! If you have learned a lot about the theory of image description techniques but want to feel more confident putting them into practice, this is the presentation for you. There will be useful, actionable information for everyone, whether you are working with authors, colleagues, alone, or leveraging AI as a collaborator. Link to presentation recording and slides: https://bnctechforum.ca/sessions/details-of-description-part-ii-describing-images-in-practice/ Presented by BookNet Canada on June 25, 2024, with support from the Department of Canadian Heritage.

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“Intel’s Approach to Operationalizing AI in the Manufacturing Sector,” a Pres...

Edge AI and Vision Alliance

For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/07/intels-approach-to-operationalizing-ai-in-the-manufacturing-sector-a-presentation-from-intel/ Tara Thimmanaik, AI Systems and Solutions Architect at Intel, presents the “Intel’s Approach to Operationalizing AI in the Manufacturing Sector,” tutorial at the May 2024 Embedded Vision Summit. AI at the edge is powering a revolution in industrial IoT, from real-time processing and analytics that drive greater efficiency and learning to predictive maintenance. Intel is focused on developing tools and assets to help domain experts operationalize AI-based solutions in their fields of expertise. In this talk, Thimmanaik explains how Intel’s software platforms simplify labor-intensive data upload, labeling, training, model optimization and retraining tasks. She shows how domain experts can quickly build vision models for a wide range of processes—detecting defective parts on a production line, reducing downtime on the factory floor, automating inventory management and other digitization and automation projects. And she introduces Intel-provided edge computing assets that empower faster localized insights and decisions, improving labor productivity through easy-to-use AI tools that democratize AI.

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In this follow-up session on knowledge and prompt engineering, we will explore structured prompting, chain of thought prompting, iterative prompting, prompt optimization, emotional language prompts, and the inclusion of user signals and industry-specific data to enhance LLM performance. Join EIS Founder & CEO Seth Earley and special guest Nick Usborne, Copywriter, Trainer, and Speaker, as they delve into these methodologies to improve AI-driven knowledge processes for employees and customers alike.

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Performance budgets have been around for more than ten years. Over those years, we’ve learned a lot about what works, what doesn’t, and what we need to improve. In this session, Tammy revisits old assumptions about performance budgets and offers some new best practices. Topics include: • Understanding performance budgets vs. performance goals • Aligning budgets with user experience • Pros and cons of Core Web Vitals • How to stay on top of your budgets to fight regressions

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Transcript: Details of description part II: Describing images in practice - T...

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How to be successful with Artificial Intelligence - from small to success

1. Howtobesmall andsuccessfulwithAI

2. JenStirrup.com DataRelish.com http://bit.ly/JenStirrupRD http://bit.ly/JenStirrupLinkedIn http://bit.ly/JenStirrupMVP http://bit.ly/JenStirrupTwitter

3. Jen Stirrup •Boutique Consultancy Owner of Data Relish •Postgraduate degrees in Artificial Intelligence and Cognitive Science •Twenty year career in industry •Author •http://bit.ly/JenStirrupRD •http://bit.ly/JenStirrupLinkedIn •http://bit.ly/JenStirrupMVP •http://bit.ly/JenStirrupTwitter

5. deep learning at Microsoft • Microsoft Cognitive Services • Skype Translator • Cortana • Bing • HoloLens • Microsoft Research Microsoft Cognitive Toolkit

6. “We tend to overestimate the effect of a technology in the short run and underestimate the effect in the long run” - Roy Amara

9. 8 ‘C’s of AI • Customers • Compete • Capitalize • Create • Costs • Challenges • Calculate • Cognition

10. Look Horizontally across your business for common goals

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

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

14. Some ‘C’s of AI Strategy Customers Competition Capitalize Create Costs Challenges Calculate Cognition

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

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

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

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

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

20. Challenges

21. Calculate

22. Cognition

23. Data Science Team Process

How to be successful with Artificial Intelligence - from small to success

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