How Can Industries Increase Their Business Value with Automation Using AI?

Computer Vision (CV) has become a common norm to let factories become more automated with interactive human-to-machine processes. Combine the power of AI with CV to significantly improve business throughput and quality.

Artificial Intelligence, Machine Learning and Computer Vision, have the power to drive a revolution in any industry. AI (Artificial Intelligence) will enable industries to become autonomous and efficient. It will also drive down the costs of the goods that consumers use daily.

Please read our blog to find all the highlights about Industrial Automation!

Industrial Automation

Industrial automation uses controlled systems (computers, robots and other information technologies) for handling different Industrial tasks.

For any Industry, there are two essential metrics to measure an efficient production line- quality and quantity. AI/ML models offer both. It is possible because AI leverages automation models to mimic the problem-solving and decision-making capabilities of the human mind.

Beyond traditional Industrial Automation, new generations of more capable autonomous systems, from autonomous vehicles on roads to automated check-outs in grocery stores, generate more business value.

Different industries use intelligent systems in various processes to personalize product recommendations, find anomalies in production, identify fraudulent transactions, and more. The latest generation of AI advances include techniques that address classification, estimation, and clustering problems and hence promises more business value.

AI offers all of this, along with the benefits of a far better level of workplace safety. These industry automation models combine machines’ precision with human operators’ skills to offer the best of both worlds.

How is the Work Done?

The most commonly used AI technology for industries is Machine Learning. Its wide-ranging applicability makes it relevant for various use cases among different industries. The most used is supervised Machine Learning among the different types of Machine Learning.

Supervised Machine Learning uses labeled datasets to train algorithms that accurately classify data and predict outcomes. Here the software is fed with structured data to find patterns and to understand and interpret new observations.

While some industries primarily use internal data for supervised Machine Learning, many choose to combine internal and external datasets to produce even deeper insights.

Other AI technologies that have been found most useful in industrial deployment are as follows:

• Smart Robotics

It is an Artificial Intelligence (AI) system that learns from its environment/ experience and builds on its capabilities based on that knowledge.

Use cases for business development

• Handling Repetitive Work Processes
• Working in Unpredictable Environments
• Anomaly detection in manufactured products factories
• Autonomous Mobile Robots (AMRs) transporting packages within warehouses
• Collaborative Robots (cobots) assemble products alongside humans on the manufacturing line

The diversity of Robotics applications makes them excellent choices to work in various industries, from manufacturing, design and automobility to as diverse as defence and aerospace.

• Natural Language Processing

It is a subfield of linguistics, computer science, and Artificial Intelligence that works on the interactions between computers and human language. Models are programmed to process/ analyze large amounts of natural language data.

Use cases for business development

• Conversational AI that enables automatic conversation between computers and humans
• Language Translation
• Customer Service Chatbot
• Assists in Credit Scoring by extracting relevant data from unstructured documents

• Computer Vision 

AI models are trained to derive information from images, videos and other inputs. The model seeks to understand and automate tasks that the human visual system can do.

Use cases for business development

• Object Classification
• Object Verification
• Forecasting Behaviour
• Object Character Recognition (OCR)

• Biometrics

Biometrics is used in computer science to measure and analyse people’s unique physical and behavioural characteristics.

Use cases for business development

• Remote Data Accessibility
• Access Control/ Security
• Time Loss Prevention
• Attendance
• Speed and Scalability

Besides the ones mentioned above, there are also AI technologies like Neural networks and Deep learning, Virtual agents, Text analysis, and Speech recognition that Industries can benefit from. These intelligent systems detect inputs and make task predictions with incredible accuracy and speed.

AI Ecosystem For SMEs (Small and Medium Enterprises)

SMEs and large enterprises today are faced with the need to imbibe the latest technologies in their business models and behaviour for true success and growth. We recommend benefiting from new technologies like Robotics, IoT, 4G/5G, MPN, AI, Cloud, VR/AR, Digital Twins and more.

SMEs can create dynamic and flexible industrial ecosystems using external sources for the main industrial processes {offering “as a service” (aaS)} such as design, modelling, production, and maintenance.

To start with, You can join Ksolves at the AI & Big Data Expo at Santa Clara Convention Center, CA- North America on 5-6 October 2022. The AI & Big Data fair is one of the largest tech conferences in the world, where thousands of technology deliverables, partners, and customers will be united together.

You can also meet our representative at AI & Big Data Expo, the founder, and CEO of Ksolves, Ratan Srivastava.

Why Should One Work With Ksolves?

Ksolves aims to deliver complete AI & Big Data professional solutions to enable businesses’ growth and success. We have more than a decade of experience in helping create, design, and deliver holistic solutions that generate business value.

Whether you are looking for an end-to-end project delivery or want to execute some specific part, we have the expertise to ensure that your business runs smoothly. We are pleased to share that we have a record of being:

• Public Listed Company
• CMMI Level 3 Certified
• NASSCOM Certified

Moreover, Ksolves buckles 24×7 Tech Support to its clients and guarantee 100% Customer Satisfaction.

Conclusion

In the fast-growing era, businesses can’t rely on archaic ways of handling various industrial activities. The competition amongst business industries is cut-throat, and you can’t afford to be a step backwards from your competitors.

AI with Machine Learning, among other technologies, has made it possible for you to stay ahead and bring about productivity to your businesses.

FAQ

1. What are the benefits of Industrial Automation?

Industrial Automation is the second step beyond mechanization in the scope of industrialization. The benefits of automation are increased quality, quantity, workplace safety, and flexibility.

2. What is the difference between Industrial Automation and traditional equipment manufacturing?

Industrial automation systems use many AIML algorithms that give them a “logic” and hence allow them to work smarter and faster than traditional equipment manufacturing machines.

3. What does industrial automation include?

Industrial automation uses technologies like Robotics and Computer software to control industrial machinery and processes making their tasks autonomous with minimal human input.