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AI가 이미 각 산업계에 얼마나 깊이 침투해들어왔는지 알수 있었던 시간
IBM에서 만든 AI 관련 제품 홍보를 위한 과정이라고 하기엔 너무 유용했던 과정이었다.
상대적으로 1차, 3차 과목에 비해 양이 비교적 적어서 주말동안 몰입해서 과정을 이수할수 있었다.
수료증 원본 링크: https://www.coursera.org/account/accomplishments/certificate/HXVZGAUVWYUW
점수는 100점
은근히 제품군이 많아서 까다로왔다.
아래는 공부하면서 정리한 내용인데, 혹시 이 과정 공부하시는 분들은 참고하시라고 덧붙여본다.
Week 1
· Examples of real-world applications of Watson in Energy, Natural Gas Production, Farming, and Insurance.
· Deep Learning enables Watson to learn from unstructured data and constantly improve the quality and accuracy of results by learning on the job.
· Transfer Learning enables Watson to learn faster from smaller sets of data while also protecting customer's data and insights.
· IBM Watson Assistant is helping businesses deliver personalized customer experiences and supporting their contact center agents with the knowledge and expertise they need to give outstanding customer service.
· IBM Watson Regulatory Compliance has made compliance with rapidly evolving regulatory requirements into an accurate, timely, trustworthy, and efficient process.
· AI professionals are building, training, and deploying their custom models using the Cognitive APIs and end-to-end collaborative environment provided by IBM.
Watson is helping teams and businesses
· Reimagine their workflows, using its capabilities to process massive amounts of data faster, to remember, understand, and make recommendations.
· Learn more from less data, using a technique called Transfer Learning.
· Protect their data and insights, using a 3-layered learning model.
It is important to recognize how Consumer AI is different from Business AI
· Consumer AI is all around us, on our smartphones, in our homes and devices, and impacting virtually all aspects of our everyday lives.
· Business AI impacts how we engage with our clients, the way we perform our responsibilities at work, and our business processes.
The 3 steps of that can help customers get started on their AI journey
· The use case through which they can prove that AI can benefit their organization.
· The governance frameworks, methodologies, best practices, and anything else needed to adopt the proven use case across the organization.
· Mechanisms for continuous improvement, continuous adoption, and continuous scale.
Week 2
· IBM Watson provides a portfolio services, tools, and APIs to enable businesses to use and develop AI powered applications.
· The Watson AI portfolio enables you to perform a wide range of tasks, including accelerate research and discovery, enrich your customer interactions, scale expertise and learning, and detect liabilities and mitigate risk.
· Watson is available on any cloud empowered business.
· Watson Assistant helps you to build chatbots and virtual assistants for a variety of channels, including mobile devices, messaging platforms, and even robots.
· Watson Assistant combines machine learning, natural language understanding, and integrated dialog tools to create conversation flows between your apps and your users.
· Watson Discovery unlocks hidden value in data to find answers, monitor trends and surface patterns with the world’s most advanced cloud-native insight engine.
· Watson Natural Language Understanding offers a suite of features for text analysis extracting entities, relationships, keywords, semantic roles in up to 13 languages.
· Watson Knowledge Studio provides you with a way to teach Watson the language of your domain with custom models that identify entities and relationships unique to your industry.
· Watson Speech to Text converts audio and voice into written text for quick understanding of content.
· Watson Speech to Text automatically transcribes audio from 7 languages in real-time, in real time or from recorded sources.
· Watson Text to Speech converts written text into natural-sounding audio in a variety of languages, dialects, and voices.
· Watson Text to Speech enables you to construct very specific pronunciations for terms, phrases, and words that may appear in your use case.
· Watson Language Translator translates text from one language to another, enabling you to communicate with your customers in their own language.
· Watson Language Translator supports customization which can be especially helpful for translating technical terms.
· Watson Natural Language Classifier uses machine learning to analyze text, and labels and organizes data into custom categories.
week 3
Data – Alexnet first neural network which used backpropagation with a convolutional neural network
· Watson Studio lets you build, train, deploy and manage AI models, and prepare and analyze data, in a single, integrated environment.
· Watson Machine Learning enables you to use your own data to create, train, and deploy machine learning and deep learning models.
· Watson Knowledge Catalog drives collaboration and transform data and AI into a trusted enterprise asset through dynamic data policies and enforcement.
· Watson OpenScale provides insights into AI health, recommends next steps to improve outcomes, and orchestrates tasks to remediate issues around performance, accuracy, and fairness. NeuNets (Neural Network Synthesis)
Vision
· IBM developed some of the earliest computer vision systems.
· Some of the applications of computer vision include self-driving cars and analyzing difficult to reach cabling for maintenance needs.
· Watson Visual Recognition allows you to quickly and accurately tag, classify and train visual content using machine learning.
· Watson Personality Insights predicts personality characteristics, needs and values through written text.
· Watson Personality Insights helps you understand a customer's consumption preferences so you can tailor your social messaging for each client based on their personality, needs and values.
· Watson Tone Analyzer understands emotions and tone in even small amounts of text.
· Watson Tone Analyzer can be used to analyze the tone of online reviews, enhance customer service interactions and improve customer communications with chatbots.
· Watson Compare and Comply streamlines contract workflows to save time and improve accuracy, and simplify contract governance.
· Watson Compare and Comply identifies elements in each document, and associates categories, and parties with those elements so that you can analyze the relationships between them.
WEEK 4
· The industries where Watson AI services are being used are many and varied, including oil & gas, elevator maintenance, healthcare, automotive, and many more.
· There are three broad categories of use case: Conversational assistance, Compliance, and developing AI powered apps in-house.
· ADNOC are using AI to gather and retain knowledge from their experienced workers, and to make it easily accessible to younger workers.
· LivePerson are collaborating with IBM to create LiveEngage, a single platform that integrates AI, chatbots, and human agents.
· Connie is a member of Hilton’s concierge team, providing natural language assistance to hotel guests.
· Bradesco, one of Brazil’s largest banks, is using AI to improve response time to customer queries.
· Coca-Cola Company are using Watson Services for Core ML to provide their field engineers with a handheld repair assistant for beverage dispensing machines.
· KONE are using IoT sensors in elevators to provide information for an AI system that gives their maintenance team up to the minute information.
· Woodside, Australia’s largest oil and gas company is using AI to gather information from their retiring workforce, and make it easily available for their workers.