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- 1. Artificial Intelligence The Next Sense -Suresh Malli This is from the public presentation done by me last year. Please feel free to use the content/slide design or whatever...
- 2. What is Artificial Intelligence Deep Learning Machine learning Artificial intelligence Artificial intelligence (AI) Any techniques that enable machines to solve a task in a way like humans do Machine learning (ML) A subset of AI, that uses algorithms that allow computers to learn from examples without being explicitly programmed Deep learning (DL) A subset of ML which uses deep artificial neural networks as models and automatically builds a hierarchy of data representations 2
- 3. AI key application areas Autonomous robots, self-driving vehicles, drones Autonomous systems Seamless interaction in human languages including written language and speech recognition, sentiment analysis, contextual understandingNatural language processing VR based AI powered avatars/robots that can interact like human Virtual Assistant Software that interacts with humans through online, using knowledge database Chatbots Recognition of pattern of data/image Pattern recognition Uses historical cyber threat data and unusual patterns to identify and mitigate real-time cyber threats Cognitive Cyber security 3
- 4. AI in the news! 4
- 5. AI in daily life Dynamic pricing and route optimization Voice to text converter and Smart assistants Google AI powered prediction and search engine Recommendations, Search results customization Facial recognition, smart suggestion Email – spam filtering, Categorization, smart reply/alert
- 6. - Personalization, chatbots, virtual assistants - Pricing optimization - Smart shopping - Credit authorization and fraud prevention - Faster and consistent claim decisions using RPA - Investment decision - Predictive maintenance - Use of robots to assemble parts using CAD instructions - Generative design – design alternatives - Auto vehicle for logistics and shipping - Improve demand forecast accuracy - Physical inspection and maintenance using visual pattern recognition - Diagnosis using large volume of historical data - AI assisted robotic surgery - Virtual nursing assistant/companion - Crop and soil monitoring using drones - Robots for weed control and crop harvesting - AI-based sowing lead to higher yields AI across industries Retail Banking Manufacturing Supply chain Healthcare Agriculture 6
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- 8. How to implement AI in your organization Familiarize with AI Identify Business case Evaluate outcome Collate data Engage Vendor/Evaluate Implement 8
- 9. AI Products - Examples Uses deep learning technology to help retail in improving customer Experience, Store Operations and Analytics Platform is built on input form lawyers NLP experts, helps analyze legal contracts, extract important information and summarize as per your requirement Facial recognition, Chatbots, Quick delivery of product 9
- 10. AI Products - Examples Using Industrial IoT INTELLIDEVICE captures dynamic data form industrial machines and equipment . MECBOT analyzes it to generate quick actionable alerts and event-triggers Creates enterprise grade Chatbots Drive supply chain efficiency through improved fulfillment, reduce manual interventions, track operations effortlessly 10
- 11. AI Products - Examples Advanced solutions to retail industry for real time dynamic personalization using image recognition powered search engine eCommerce product customization, dynamic recognition and pattern matching Personalized marketing using Chatbot 11
Notes de l'éditeur
- https://medium.com/iquii/artificial-intelligence-the-current-market-technology-and-the-most-promising-applications-for-1717e680040b
- So what’s all the buzz around artificial intelligence or AI? AI has been showing potential for years, and companies have noticed. In fact, IDC predicts that global spending on cognitive and AI solutions will increase at a compound annual growth rate of 54% over the next few years, exceeding $46 billion by 2020. Clearly no business can avoid the AI reality. To run a business effectively, you need information and intelligence. AI has attracted a high level of corporate interest because it can discover patterns in big data and provide insights providing a competitive advantage. But today, for many enterprise customers, AI is still not real. Although they are eager to realize the benefits of AI, they simply do not know how to get started. The problem is that every AI is a custom application. In other words, it takes time, money, and skills to set up new AI in a way that makes business sense for enterprise customers.
- Today, some company’s are making AI real in our everyday lives – for example Facebook tagging images, Google maps finding your current location and finding the quickest route and Alexa monitoring and adjusting your room temperature at your home. Some of these are more obvious than others but one thing is for sure…we are using AI daily.