Digital Reference Model

(C) Copyright Pradeep Chatterjee (L-80336/2019)

The Digital Reference Model has been developed to help designers in design of digital solutions. The Digital Levers - 

Block Chain
Augmented Realty / Virtual Realty
Artificial Intelligence/ Machine Learning
Image / Video Analytics 
Cobots
Additive Manufacturing
Digital Twin
Advanced Analytics 
Virtual Assistants 

help to create the digital layer. Data captured from external sources or enterprise applications or operations technologies through integrations can help to create digital solutions using this digital layer. These are supported by cloud computing with immense computing power on demand, communication networks and protected with information security.

While design of solutions, designer can highlight the data sources used, type of integrations, highlight the digital levers relevant for the solution design and details of each of the digital levers to be used. In addition it can capture the cloud platform to be used, types of communication protocols and what all information security measures are taken into consideration against this Digital Reference Model. Using this model helps to get a bird's eye view of the complete digital solution.

Hope this model will be useful to people in the Digital Age.



Comments

Post a Comment

Popular posts from this blog

Beyond Generative AI : Rise & Risk of Co-Intelligence (CI)

Image
Credit: ProStockStudio / Shutterstock.com © 2019 / er.educause.edu Generative AI :   In recent past the most widely searched terminology over internet is "Generative AI" (GAI). With LLM (Large Language Models) based solutions coming to exposure, every individual got interested, as one can directly converse with an AI engine and get human like responses. Easy accessibility for general public to interact and test out an AI engine made it popular. However, today "Generative AI" is the most non-optimally used terminology (purposefully not saying "mis-used") in general.  With Generative AI (GAI) coming in, we should not undermine the capabilities of erstwhile AI as Generative AI cannot replace many of those purpose specific AI (Narrow AI) solutions. Generative AI (GAI) is specific to solutions which require content generation as conversation, speech, code generation, image description or creation of image from description and many such use cases. Since GAI is a...
Read more

AI for Sustainability

Image
AI for sustainability is a rapidly growing field, focusing on leveraging Artificial Intelligence (AI) to address environmental, social, and economic challenges. Here are some usage examples: Environmental Sustainability: 1. Climate Modeling: AI helps predict climate patterns, identifying areas vulnerable to climate change. 2. Renewable Energy Optimization: AI optimizes solar and wind energy production, reducing waste and increasing efficiency. 3. Wildlife Conservation: AI-powered monitoring systems track and protect endangered species. 4. Sustainable Agriculture: AI-driven precision farming reduces water and fertilizer usage. 5. Waste Management: AI optimizes waste collection routes and recycling processes. Social Sustainability: 1. Education: AI-powered adaptive learning platforms improve access to quality education. 2. Healthcare: AI-driven diagnostic tools enhance healthcare accessibility and efficiency. 3. Social Justice: AI helps identify and mitigate bias in decision-making proce...
Read more

Digital World and Artificial Intelligence

Words "Digital" and "Artificial Intelligence" have become very popular in the industry today. Every organization is moving towards same. Digital solutions comprise of Industrial Automation, Information Technology and Artificial Intelligence. These concepts existed many decades ago. Then what has really changed and why organizations are doing it now?  Evolution of these technologies dates back in the history: Industry Automation (IA) with control systems started as early as 1920 - early 1930. With factory electrification, control systems were built using conventional relay logic where on-off actions can be taken based on set desired values. Numeric Control (NC) machines started during 1950 and subsequently Computerized Numeric Control (CNC) machines evolved. First computing machine dates back to 17th century when the first calculating machine was developed by Blaise Pascal. Charles Babbage and Ada Lovelace worked on development of analytical engine with pun...
Read more