Introduction To Artificial Intelligence Powerpoint Presentation Slides
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Introduction to Artificial Intelligence is for the mid level managers giving information about what is AI, AI levels, types of AI, where AI is used. You can also know the difference between AI vs Machine learning vs Deep learning to understand expert system in a better way for business growth. https://bit.ly/2V0reNa
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Introduction To Artificial Intelligence Powerpoint Presentation Slides
- 2. 2 Introduction 01 o What is AI? o Introduction to AI Levels? o Types of Artificial Intelligence o AI VS machine learning vs deep learning o Where is AI used? o AI use cases o Why is AI booming now? o AI trend in 2020
- 3. Artificial intelligence (AI) is a popular branch of computer science that concerns with building “intelligent” smart machines capable of performing intelligent tasks. With rapid advancements in deep learning and machine learning, the tech industry is transforming radically. Artificial Intelligence Transforming the Nature of Work, Learning, and Learning to Work 3 Artificial Intelligence Machine Learning Deep Learning This slide is 100% editable. Adapt it to your needs and capture your audience's attention.
- 4. Introduction to AI Levels? 4 Artificial Narrow Intelligence Artificial General Intelligence Artificial Super Intelligence Types of Artificial Intelligence This slide is 100% editable. Adapt it to your needs and capture your audience's attention.
- 5. Types of Artificial Intelligence 5 Deep Learning Machine Learning Artificial Intelligence This slide is 100% editable. Adapt it to your needs and capture your audience's attention.
- 6. Artificial Intelligence 6 Artificial intelligence (AI) is a popular branch of computer science that concerns with building “intelligent” smart machines capable of performing intelligent tasks. With rapid advancements in deep learning and machine learning, tech industry is transforming radically. 2018 2019 2020 2017 2016 2015 AI 2013 2014 2015 2016 2017 AI Text Here This slide is 100% editable. Adapt it to your needs and capture your audience's attention. Text Here This slide is 100% editable. Adapt it to your needs and capture your audience's attention. 65% 35% Text Here This slide is 100% editable. Adapt it to your needs and capture your audience's attention. Text Here This slide is 100% editable. Adapt it to your needs and capture your audience's attention. Text Here This slide is 100% editable. Adapt it to your needs and capture your audience's attention. Text Here This slide is 100% editable. Adapt it to your needs and capture your audience's attention. Text Here This slide is 100% editable. Adapt it to your needs and capture your audience's attention.
- 7. Machine Learning 7 Machine learning is a type of AI that enables machines to learn from data and deliver predictive models. The machine learning is not dependent on any explicit programming but the data fed into it. It is a complicated process. Based on the data you feed into machine learning algorithm and the training given to it, an output is delivered. A predictive algorithm will create a predictive model. This slide is 100% editable. Adapt it to your needs and capture your audience's attention. This slide is 100% editable. Adapt it to your needs and capture your audience's attention. Information This slide is 100% editable. Adapt it to your needs and capture your audience's attention.
- 8. Deep Learning 8 Deep Learning is a subfield of machine learning that is concerned with algorithms inspired by the brain's structure A computer model can be taught using Deep Learning to run classification actions using pictures, texts or sounds as input & functions known as artificial neural networks This slide is 100% editable. Adapt it to your needs and capture your audience's attention.
- 9. AI VS Machine Learning VS Deep Learning 9 o Artificial Intelligence originated around 1950s o AI represents simulate intelligence in machines o AI is a subset of data science o Aim is to build machines which are capable of thinking like humans o Machine Learning originated around 1960s o Machine learning is the practice of getting machines to make decisions without being programmed o Machine learning is a subset of AI & Data Science o Aim is to make machines learn through data so that they can solve problems Artificial Intelligence Machine Learning Deep Learning o Deep Learning originated around 1970s o Deep Learning is the process of using artificial neural networks to solve complex problems o Deep Learning is a subset of Machine Learning, AI & Data Science o Aim is to build neural networks that au6tonetically discover patterns for feature detection This slide is 100% editable. Adapt it to your needs and capture your audience's attention.
- 10. Where is AI used? 10 Customer Experience Supply Chain Human Resources Knowledge Creation Research & Development Fraud Detection Real-time Operations Management Customer Services Risk Management & Analytics Customer Insight Pricing & Promotion Predictive Analytics This slide is 100% editable. Adapt it to your needs and capture your audience's attention.
- 11. AI Usecase in HealthCare 11 Research Training Keeping Well Early Detection Diagnosis Decision Making Treatment End of Life Care AI and Robotics This slide is 100% editable. Adapt it to your needs and capture your audience's attention.
- 12. AI Use Cases in Human Resource 12 LEARNING o Curated Training o Skill Development RECRUITING o Dynamic Career Sites o Smart Sourcing ENGAGEMENT o HR Chatbot o Engagement Surveys ONBOARDING o Automated Messages o Curated Videos Employee Life Cycle This slide is 100% editable. Adapt it to your needs and capture your audience's attention.
- 13. AI in Banking for Fraud Detection 13 Authorization System Neural Network Engine Scoring Engine Case Creation Module Case Management Database Expert Authorization Response Module Expert Rules Base Configuration Workstation Expert Rules Execute Rules Definition Cardholder Profiles Postings Payment System Nonmonetary System Analyst Workstation Auth Request 1 3 Case Creation Rules Execute 6 Payment and Non-Monetary Transactions 8 Auth Recommendation 4 Auth Request & Score 2 Transaction & Score 5 Case Information 7 This slide is 100% editable. Adapt it to your needs and capture your audience's attention.
- 14. AI in Supply Chain 14 Structured & Unstructured Information Regulatory Data B2B Transaction Data Inventory Data Multimedia Data Sensor Data Logistics Data Trading Partner Data Social Media Data Procurement Manufacturing Customers Service Logistics Pervasive Visibility Proactive Replenishment Predictive Maintenance Secure Device Maintenance Ecosystem Integration Unified Messaging Actionable Insights IIOT – Securely Provisionally People, System and Things Secure Access Via Identity Management for Transient Users Digital Ecosystem Data Lake
- 15. Ai Chatbots in Healthcare 15 Search Engine Users learn to search for information Social Platforms Like Facebook connect users online Smartphones Bring the internet online App Eco-system Lets users download and use apps easily Messenger Apps Lets users chat anywhere, anytime Artificial Intelligence Self Learning machines becomes smarter the more they are used Healthbots Bring all of the above together for healthcare use cases This slide is 100% editable. Adapt it to your needs and capture your audience's attention.
- 16. Why is AI booming now? 16 Global AI Revenue Forecast by 2025, Ranked by Use Case in millions US Dollar 8,097 7,540 7,336 4,680 4,201 3,714 3,655 3,564 3,169 0 2,000 4,000 6,000 8,000 Static Image Recognition, Classification and Tagging Algorithm Trading Strategy Performance Management Efficient, Scalable Processing of Patient Data Predictive Maintenance Object Identification, detection, classification, tracking Text Query of Images Automated Geophysical Feature Detection Content Distribution on Social Media Object detection & classification, avoidance, navigation 100% 92% 84% 45% 54% United States China India Germany Israel Penetration of Artificial Intelligence Skills, by Country 22% 24% 27% 36% 37% 51% 60% 60% 66% 71% 0 20 40 60 80 100 Fleet Mobile Expediting Transactions Production Floor Systems Logistics & Supply Chain Monitoring Through External Devices/Systems Operational Environment HR/Workforce Management Security/Fraud Customer Relation/Interaction (i.e., chatbots) External Communication Organizations deploying AI, by Functional Areas This graph/chart is linked to excel, and changes automatically based on data. Just left click on it and select “Edit Data”.
- 17. 10 AI Trend in 2020 17 Robotic Process Automation AI will make Healthcare more Accurate Data Modeling will move to the Edge AI will Come for B2B Ai-powered Chatbots AI In Retail Aerospace and Flight Operations Controlled by AI AI Mediated Media and Entertainment Advanced Cybersecurity Automated Business Process AI Trends” “2020 This slide is 100% editable. Adapt it to your needs and capture your audience's attention.