Value and Impact of Data Science and AI in Industry 4.0/5.0
With the onset of huge amount of data over last several years, the world is transforming in the digital space to unleash the power of hidden insights out of it. Data Science and Artificial Intelligence has become a norm and adoption of these technologies have grown across industries and across the business function. The current trends and opportunities in the industry where Data and AI can play a role looks promising and also the way it is already playing a role is something to be valued.
While we see the adoption of Data and AI across industry segments to be intense, it is also challenging to observe how enterprise think to scale up within their respective business segment(s) to realize the true potential out of it.
Industry 4.0 can unlock significant value:
Key potential areas as we could notice are as follows:
a) Data, Compute power and Connectivity
b) Human-machine interaction and Augmented value out of it
c) Advanced Analytics and Intelligence, Storytelling
d) Advanced Production methods
In the past few years, some of the firms in manufacturing, industrial etc have started to pull ahead in their efforts to implement Industry 4.0 across their ecosystem. Leading firms are realizing tremendous value from Data Management, Data Governance, Data Analytics, Machine Learning and Artificial Intelligence. We will look at some of the potential use cases that are used by various industries and more importantly for manufacturing firms to be able to see how the focus should be on identifying business use cases and how innovation can play significant role in this journey.
Use Case Theme: Optimize Procurement
Use Case Theme: Predictive Maintenance
Use Case Theme: Forecasting Demand
While adoption in Data Science and AI may be fast growing for some enterprises, it may pose challenge to some and some enterprises may not even have started on with their journey. Enterprises must look at how methodology and frameworks can help them define this journey effectively. It is needless to say that it is very important to capture benefits across the value chain — i.e. increasing production capacity, reducing material losses, identifying inefficiencies in the processes, improving customer service and interactions, improving delivery quality and productivity, accomplishing higher employee satisfaction and reducing environmental impact.
With so much at stake, enterprises are putting significant time, effort and money behind their digital transformations. The investments are paying off for some, are bit challenging for others and there may be a lot facing challenge in scaling up thus to realize true value and impact.
The road ahead for Industry 4.0 is exciting w.r.t Data Science and AI and these technologies will continue to play significant role not only by itself but also by augmenting with other emerging technologies such as Internet of Things, Cloud, AR/VR, Smart Manufacturing, Robotics and Automation, Cyber Security, Blockchain, Web 3.0 and others.
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Disclaimer: The postings here are personal point of views from my experiences, analysis, thoughts, readings from various sources and don’t necessarily represent any firm’s positions, strategies or opinions.