
毫无疑问,数字化转型是当今跨行业时代的“流行”词。但在我们急于研究数字化转型之前,了解数字化、数字化和数字化转型等术语之间的主要区别对我们来说很重要。随着行业动态的不断变化,数字化转型已成为当下的需要,并且正在成为在数字化转型的保护伞下使用一系列技术跨行业实施。对于我们来说,理解数字化转型是一个更高阶的概念至关重要,它超越了数字技术的实施。本课程将使您清楚地了解关键数字化转型和相关概念。
概述
第 1 部分:数字化转型意识模块
第1讲Trainer介绍及模块简介
第 2 讲数字化转型及相关术语介绍
第 3 讲 AI、ML 和深度学习的用例介绍
第 4 讲 AI 和 ML 的其他用例
第 5 讲自然语言处理和用例
第 6 讲 智能视觉系统和智能文档阅读器
第 7 讲 IVS 的其他用例和 RPA 和 OCR 技术介绍
第 8 讲 区块链、机器人、物联网、大数据和未来技术介绍
任何想了解数字化转型和数字技术的人
Published 6/2022
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 728.02 MB | Duration: 0h 54m
Time for you to get equipped with digital transformation tools & technologies
What you’ll learn
- Define and summarize the difference between Digitization, Digitalization and Digital Transformation
- Outline and explain various Digital Transformation Technologies
- List and define future digital technologies
- Identify digital transformation opportunities in their respective work areas
Requirements
No specific skill required for taking up the course.
Description
Without a doubt, Digital Transformation, is the “buzz” word in today’s era across industries. But before we jump the guns and dig into Digital Transformation, it’s important for us to understand key differences between terms like, Digitization, Digitalization and Digital Transformation.With the ever changing industry dynamics, Digital Transformation has become the need of the hour and is being implemented across industries using a bouquet of technologies under the umbrella of digital transformation.It is crucial for us to understand that Digital Transformation is a higher order concept which goes beyond just the implementation of digital technologies.This course will give you a clear understanding of key Digital transformation and related concepts. You will also get introduced to a plethora of Digital Transformation technologies like NLP, Deep Learning, Block chain, Artificial Intelligence, Intelligent RPA and many more.For ease of learning and to understand the real world applicability of these technologies, we have backed up technology explanations with industry specific use cases.At the end of the program the learner will be able to:o Define and summarize the difference between Digitization, Digitalization and Digital Transformationo Outline and explain various Digital Transformation Technologieso List and define future digital technologieso Identify digital transformation opportunities in their respective work areas
Overview
Section 1: Digital Transformation Awareness Module
Lecture 1 Trainer introduction and module brief
Lecture 2 Introduction to Digital Transformation and related terminologies
Lecture 3 Introduction to AI, ML & Deep Learning with use cases
Lecture 4 Additional use cases on AI & ML
Lecture 5 Natural Language Processing & use cases
Lecture 6 Intelligent Vision Systems & Intelligent Document Reader
Lecture 7 Additional use cases of IVS and introduction to RPA & OCR technologies
Lecture 8 Blockchain, Robotics, IoT, Big Data, & Introduction to Futuristic technologies
Anyone who wants to learn about Digital Transformation and digital technologies
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