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Why You Shouldn't Worry About Artificial Intelligence...Until You Have To

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Why You Shouldn't Worry About Artificial Intelligence...Until You Have To

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We've heard a lot lately about how the machines may be taking over our jobs. AWH founder and principal, Chris Slee, recently discussed artificial intelligence and machine learning - and how it will affect your business in the future.

We've heard a lot lately about how the machines may be taking over our jobs. AWH founder and principal, Chris Slee, recently discussed artificial intelligence and machine learning - and how it will affect your business in the future.

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Why You Shouldn't Worry About Artificial Intelligence...Until You Have To

  1. 1. A.I. WORKSHOP The differences between ML and AI. How machines ”learn". How businesses are using the technology today. What are the future of these innovations and how will they affect your enterprise? FEATURING: Christopher Slee
  2. 2. Christopher Slee is the founder and principal of AWH, a Dublin, Ohio software engineering firm currently celebrating its 22nd year of creating great digital products for business clients. Even though Chris has been programming for more than 30-years, he continues to push the technology envelope. From drones to artificial intelligence, Chris continues to exemplify the spirit of continual learning in the tech space. Chris attended and now is an Adjunct Professor at The Ohio State University. Christopher SleePrincipal @AWH
  3. 3. In short, the best answer is that Artificial Intelligence is the broader concept of machines being able to carry out tasks in a way that we would consider “smart”. What is A.I.Definitions
  4. 4. Machine Learning is a current application of AI based around the idea that we should really just be able to give machines access to data and let them learn for themselves. What is Machine Learning? Definitions
  5. 5. Algorithms Algorithms are sets of rules that a computer is able to follow. THE BUILDING BLOCKS
  6. 6. Think about how you learned to do long division -- maybe you learned to take the denominator and divide it into the first digits of the numerator, then subtracting the subtotal and continuing with the next digits until you were left with a remainder. Well, that’s an algorithm, and it’s the sort of thing we can program into a computer, which can perform these sorts of calculations much, much faster than we can. Division Algorithm
  7. 7. There are many algorithms and they have been around in computing for a long time.
  8. 8. So is machine learning just a bunch of code?
  9. 9. Algorithms: The first key to machine learning
  10. 10. Big Data: The second key to machine learning
  11. 11. A Neural Network is a computer system designed to work by classifying information in the same way a human brain does. It can be taught to recognize, for example, images, and classify them according to elements they contain. Essentially it works on a system of probability – based on data fed to it, it is able to make statements, decisions or predictions with a degree of certainty. The addition of a feedback loop enables “learning” – by sensing or being told whether its decisions are right or wrong, it modifies the approach it takes in the future. Neural Networks
  12. 12. Deep learning is AI that uses complex algorithms to perform tasks in domains where it actually learns the domain with little or no human supervision. In essence, the machine learns how to learn. Deep Learning
  13. 13. Federated Learning enables mobile phones to collaboratively learn a shared prediction model while keeping all the training data on device, decoupling the ability to do machine learning from the need to store the data in the cloud. Federated Learning
  14. 14. If its not code what is it?
  15. 15. AI Dreams
  16. 16. Who are the big names?
  17. 17. What are some of the many tools?
  18. 18. Lets look into one
  19. 19. LUI SLanguage Understanding Intelligent Services (LUIS) brings the power of machine learning to your apps One of the key problems in human-computer interactions is the ability of the computer to understand what a person wants. LUIS is designed to enable developers to build smart applications that can understand human language and accordingly react to user requests. With LUIS, a developer can quickly deploy an HTTP endpoint that will take the sentences sent to it and interpret them in terms of their intents (the intentions they convey) and entities (key information relevant to the intent). By using LUIS web interface, you can create an application, with a set of intents and entities that are relevant to your application’s domain. For example, in a travel agent app, a user might say an utterance like "Book me a ticket to Paris". In this utterance, there is the intention to "BookFlight" and "Paris" is the entity. Intention or the intent can be defined as the desired action and usually contains a verb, in this case "book". The entity is a relevant information of a specific data type, in this case "Paris" is the location entity. Once your application is deployed and traffic starts to flow into the system, LUIS uses active learning to improve itself. In the active learning process, LUIS identifies the utterances that it is relatively unsure of, and asks you to label them according to intent and entities. This has tremendous advantages; LUIS knows what it is unsure of, and asks for your help in the cases which will lead to the maximum improvement in system performance. LUIS learns quicker, and takes the minimum amount of your time and effort. This is active machine learning at its best.
  20. 20. Emotion API Microsoft Emotion API, which allows you to build more personalized apps with Microsoft’s cutting edge cloud-based emotion recognition algorithm. The Emotion API beta takes an image as an input, and returns the confidence across a set of emotions for each face in the image, as well as bounding box for the face, from the Face API. The emotions detected are happiness, sadness, surprise, anger, fear, contempt, disgust or neutral. These emotions are communicated cross-culturally and universally via the same basic facial expressions, where are identified by Emotion API.
  21. 21. Face API Microsoft Face API, a cloud-based service that provides the most advanced face algorithms. Face API has two main functions: face detection with attributes and face recognition. Face rectangle (left, top, width and height) indicating the face location in the image is returned along with each detected face. Optionally, face detection extracts a series of face related attributes such as pose, gender, age, head pose, facial hair, glasses and emotion.
  22. 22. This is just one of many
  23. 23. Netflix What you should like recommendation engine
  24. 24. Amazon.com What you should buy recommendation engine
  25. 25. Google What you should fine search engine. What's in your photo? What do you want to say? I can drive there for you.
  26. 26. Facebook What’s in your bubble Detecting suicidal thoughts Who are you with face detection
  27. 27. Amazon Alexa Tell me what you want Natural Language Processing with learnable skills
  28. 28. Salesforce.com Applying machine learning to your customers to give you insight.
  29. 29. x.ai When do you want to meet?
  30. 30. Uber From ride sharing to ride giving
  31. 31. Pandora What you should hear. The music genome project with intelligence
  32. 32. Winelayerz What wines you will like to drink.
  33. 33. A.I. WORKSHOP The differences between ML and AI. How machines ”learn". How businesses are using the technology today. What are the future of these innovations and how will they affect your enterprise? FEATURING: Christopher Slee

Notas del editor

  • and we have been using them forever in computing.
  • and we have been using them forever in computing.
  • and we have been using them forever in computing.

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