Artificial Intelligence from the Business perspective

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What is AI from the Business perspective? In this presentation, Jen Stirrup discusses the 8 'C's of Artificial Intelligence from the business leadership perspective.

Technology

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

WhatisAIandwhyisituseful?
AI Leadership for Executives

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

AI
• Imbuing computers with human-inspired thinking
• Recognition between Marketing version of AI and AI in reality

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

Customers Products
Intelligent
customer
engagement
Transformed
products and
operations
Digital feedback loop
People
Customers ProductsData +
Intelligence

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

Why do we need AI?
• Customers
• Compete
• Capitalize
• Create
• Costs
• Challenges
• Calculate
• Cognition

Conceptualizing AI
• Gathering Information
• What is happening now?
• Understanding

Image recognition
• Deep Learning recognises
objects in images
• If you use technology such as
Google Photos, you are likely
using it every day

Why speech recognition now?
• Speech Recognition is
everywhere
• Increased accuracy led to
increased uptake
• Deep Learning has been
instrumental

Speech recognition issues
• Data representation of
speech
• Speech varies in speed
• Process of training is iterative

Speech Recognition today
• Requirement for high
compute power
• Model parallelism
• Data parallelism

Speech recognition possibilities
• Natural speech interface with
computers
• Translation of languages

Parsey McParseface
• Speech Applications has
impact in other domains
such as search
• Other players include
Siri(Apple),
Cortana(Microsoft),
• Amazon Echo
• Google Home

Speech recognition and AI?
• Turing Test
• Exploration of language

Deep Learning Lexicon
• Scalar
• Vector
• Matrix
• Tensor

Neural Networks
• Neural network
• Activation
• Feedforward
• Backpropagation
• Convolved neural networks

App
DataApp
App
App
App
App
App
App
App
App

Artificial Intelligence from the Business perspective

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.

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Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency. During the hour, we’ll take you through: Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board. Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes. Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI. We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI. This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!

AI-Powered Food Delivery Transforming App Development in Saudi Arabia.pdf

Techgropse Pvt.Ltd.

In this blog post, we'll delve into the intersection of AI and app development in Saudi Arabia, focusing on the food delivery sector. We'll explore how AI is revolutionizing the way Saudi consumers order food, how restaurants manage their operations, and how delivery partners navigate the bustling streets of cities like Riyadh, Jeddah, and Dammam. Through real-world case studies, we'll showcase how leading Saudi food delivery apps are leveraging AI to redefine convenience, personalization, and efficiency.

June Patch Tuesday

Ivanti

Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.

Infrastructure Challenges in Scaling RAG with Custom AI models

Zilliz

Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.

Choosing The Best AWS Service For Your Website + API.pptx

Brandon Minnick, MBA

Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API? Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose? Which one is cheapest? Which one is fastest? Which one will scale to meet our needs? Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!

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みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...

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Removing Uninteresting Bytes in Software Fuzzing

Aftab Hussain

Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process. In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds. - These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.

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innovationoecd

Video Streaming: Then, Now, and in the Future

Alpen-Adria-Universität

In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.

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Artificial Intelligence from the Business perspective

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

3. WhatisAIandwhyisituseful? AI Leadership for Executives

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

5. JenStirrup.com DataRelish.com

6. http://bit.ly/JenStirrupRD http://bit.ly/JenStirrupLinkedIn http://bit.ly/JenStirrupMVP http://bit.ly/JenStirrupTwitter

7. AI • Imbuing computers with human-inspired thinking • Recognition between Marketing version of AI and AI in reality

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

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

11. Customers Products Intelligent customer engagement Transformed products and operations Digital feedback loop People Customers ProductsData + Intelligence

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

13.

14. 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

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

16.

17.

18. WhydoweneedAI?

19. Why do we need AI? • Customers • Compete • Capitalize • Create • Costs • Challenges • Calculate • Cognition

20. Conceptualizing AI • Gathering Information • What is happening now? • Understanding

21. Conceptualizing AI • Gathering Information • What is happening now? • Understanding

22. Image recognition • Deep Learning recognises objects in images • If you use technology such as Google Photos, you are likely using it every day

23. Rankbrain

24. Parsey McParseface

25. Conceptualizing AI • Gathering Information • What is happening now? • Understanding

26. Why speech recognition now? • Speech Recognition is everywhere • Increased accuracy led to increased uptake • Deep Learning has been instrumental

27. Speech recognition issues • Data representation of speech • Speech varies in speed • Process of training is iterative

28. Speech Recognition today • Requirement for high compute power • Model parallelism • Data parallelism

29. Speech recognition possibilities • Natural speech interface with computers • Translation of languages

30. Parsey McParseface • Speech Applications has impact in other domains such as search • Other players include Siri(Apple), Cortana(Microsoft), • Amazon Echo • Google Home

31. Speech recognition and AI? • Turing Test • Exploration of language

32. Machine to Human Scale Data

33. Data and The culture of now

34. NEW WAYS for new data

35. Lessons from the Human Brain

36. Deep Learning Lexicon • Scalar • Vector • Matrix • Tensor

37. Neural Networks • Neural network • Activation • Feedforward • Backpropagation • Convolved neural networks

38. App DataApp App App App App App App App App

Artificial Intelligence from the Business perspective

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