In this lecture we will first reflect on the learning objectives for this section and then understand the difference between the commonly used terms like digitisation, digitalization and digital transformation

In this lecture we will understand how is technology is affecting individuals, companies and governments through various examples and case studies. We will also understand the meaning of terms like Society 5.0 and Smart Cities.

We will end this section by understanding the meaning of Industry 4.0, its underlying drivers and how does it tie back with all the concepts we have introduced so far.

In this lecture we will first reflect on the learning goals and then introduce a simple framework to classify key technologies behind digitalization and Indusry 4.0 today

We will understand how AI/ML work, how do they compare with human intelligence today, what does it main for future of work and key use cases and applications

We will understand how does IoT work, what is edge computing and key use cases and applications

We will understand how AR/VR work, what are the common devices and key use cases and applications

We will understand how does RPA work, what processes are most attractive for RPA and key use cases and applications

We will understand the basics of Cloud Computing, difference between SaaS, PaaS and IaaS models and key applications

We will understand how does Blockchain work, see it in action using a video and key use cases and applications

We will understand how does 3D Printing work, benefits over conventional manufacturing, applications and adoption today

We will end this section by reflecting on the relative market size and adoption of the 7 technologies and outlook for next 5 years

In this lecture we will first reflect on the learning objectives, then understand what do we mean by value and how can digitalization create value for companies

Understand the basics of platform business model and examples of how companies are creating value from it

Understand how digitalization can help accelerate new product development process, meaning of agile and MVP approach and reasons behind the rise of startups over the last decade

Understand the basics of customer experience, customer journey, omnichannel offerings and use cases and applications of technology to create value from it

Understand the various sources of data which can be leveraged to create unique insights and use cases and applications of creating value from having a unified view of data across the supply chain

Understand how technology can be used to reduce costs in manufacturing and back office processes and various use cases and applications with benchmarks

We will summarise the five value drivers by applying them in the context of banking industry

We will end this section by looking at some data on how many digital transformation initiatives are truly successful, what are the common reasons of failure and look at best practice examples of companies who have truly managed to transform

We will introduce the case for this section and also look at the core elements of the best practice digital transformation framework for this section

This lesson will introduce the challenges associated with the first element of the framework in the case and introduce the first task for the participants

In this lecture we will look at some best practices to build awareness and outline the challenges for the next element

In this lecture we will look at some best practices to create engagement and outline the challenges for the next element

In this lecture we will look at some best practices to build focus and outline the challenges for the next element

In this lecture we will look at some best practices to secure commitment and outline the challenges for the next element. This will include defining operating model, securing talent, partnerships, IT infrastructure , funding and stakeholder management

In this lecture we will look at some best practices to create agility and also to shape a digital first culture given the future of work

We will recap the five elements critical for success of any digital transformation program and close the case by creating a sample digital transformation roadmap

Video Case Study of Domino's Digital Transformation journey and key learnings from it

Recap of key concepts discussed in the course and five summary takeaways from the course

By the end of this module you will gain an understanding of Generative AI, how is different from the AI we have discussed before, what are some the most popular use cases and how can you apply Generative AI at work.

Learn about the state of AI in manufacturing and industrial sector today and key opportunities and challenges to address