AI for Cognitive Enterprises
We have seen the list of industries to get transformed with the revolution of artificial intelligence.
There is a tremendous opportunity for AI to increase human capabilities in all industries while capitalizing on unique human capabilities for creativity and agility, human characteristics that are hard to imitate for computers.
Artificial Intelligence is everywhere. Opportunities are in abundance for cognitive enterprises. What do we mean by cognitive enterprises? Millions of ideas and think pieces are waiting to grow luxuriantly and cognitive AI technologies will play a bigger role in turning your ideas into a live piece of work.
It is expected that AI will bring simplicity to complex business issues and deliver more useful, engaging, intuitive, and profitable solutions, and this is what we say a cognitive approach for enterprises.
Biggest investors in cognitive AI systems are banking, retail, and manufacturing firms. Companies in these sectors will invest heavily in cognitive solutions for seeking innovations in better match services with clients’ requirements and handling fraud and risk detection.
Research shows that enterprises today aim to grow their revenue rate by creating new products and new customer base rather than by cutting costs. They see cognitive technologies like AI, ML, NLP, deep learning, robotics as a way to reinvent their business and as a basis for business model transformation.
Role of AI Cognitive Technologies in Business Automation
How are cognitive technologies being used in modern enterprises today? AI Cognitive technologies work on a diverse set of tools, techniques, and software that are able to make smart decisions in a complex business environment. It can be also referred to as the practical implementation of artificial intelligence and machine learning in your work operations.
Categorization of types of Artificial Intelligence (AI) cognitive technologies enterprises are deploying today according to their popularity index:
Robotic Process Automation — Robotic process automation helps reduce the burden of often mundane and repetitive tasks and help businesses to automate certain tasks turned down by the workers.
Statistical Machine Learning — The set of statistical machine learning techniques automate analytical model building using ML algorithms that help businesses predict their customer behavior, fraud detection, and product recommendations.
Natural Language Processing — In the business domain, NLP helps in drawing data insights from a huge collection of data and helps in improving the overall user experience by creating a smart NLP communication model and chatbots.
Expert or Rule-Based Systems — Today’s all of the leading enterprises want to implement “intelligent” business process management platforms that can help in reducing the need for manual processing in the complex management solutions.
Deep Learning Neural Networks — Deep learning is so helpful in solving complicated issues related to image classification and object recognition that is being used today in online gaming, product categorization, and fully automatic cars.
Physical Robots — Adds intelligent robots at a time can make your work better in terms of reducing the potential risk for errors and increasing productivity.
AI cognitive technologies increase the speed and reduce the cost of operations. Organizations today implementing cognitive technologies to automate processes, creating insights, and drawing conclusions from large and complex data sets that help make high-quality predictions and most likely help improve overall operations in your business.
AI and Decision Support Features in Joget DX
To simplify process automation, Joget DX supports Decision plugins that can be mapped to process routes for decision making. Several implementations are bundled, including a no-code Rules Engine and a no-code TensorFlow plugin to execute pre-trained models.
The AI focus in Joget DX is to simplify the integration of pre-trained AI models into end-user applications. The training of AI models is best left to machine learning experts so once a trained model is available, the goal is to make it as accessible as possible to app designers.
TensorFlow is the leading open-source artificial intelligence (AI) library for machine learning. The AI focus in Joget DX is to simplify the integration of pre-trained AI models into end-user applications. The bundled TensorFlow AI plugin provides a no-code approach to uploading and executing pre-trained TensorFlow models.
AI cognitive technologies is an extremely vast field of knowledge which possesses answers to your questions and also solves many problems that the business industry is confronting today and may offer you many solutions in the future for your business queries.
Sources:
