Artificial intelligence is a boon of this generation. In the current era, Technology has taken its stride, leaving footprints in everyday tasks. AI has become the mantra of every business as well as in manufacturing organization, keeping the need for simplification of decision-making with one-click analytics for setting benchmarks in the business to ease the tasks. When there is a requirement of business cases, tech-savvy organizations have sound business viabilities, talented resources and they do lot of business cases making dynamic changes by re-engineering. Legacy has become the latest with AI, which is a game-changer for businesses.
Artificial Intelligence (AI) is increasingly used to enhance data analytics, automating tasks, uncovering insights, and enabling faster decision-making. It’s a powerful tool for analysing large datasets and making predictions. AI in data analytics helps identify trends, understand consumer behaviour, and make more accurate predictions.
Natural Language Processing (NLP) is a subfield of linguistics, computer science, Information Engineering and Artificial Intelligence concerned with the interactions between computers and human (natural) languages, in particular how to program computers to process and analyse large amounts of natural language data
Machine learning (ML) is the scientific study of algorithms and statistical models that computer systems use to perform a specific task without using explicit instructions, relying on platforms and inference instead. I need to mention patterns also here. The process monitoring helps us to identify patterns with respect to various types of input which give output. The ML model is effectively built with process analytics and giving better output and results. This will make the yield better with quality production.
Computer Vision (CV) is an interdisciplinary scientific field that deals with how computers can be made to gain high-level understanding from digital images of videos. This technology can be used to inspect materials for quality inspection and identify defects in the total stock of inventory. Integration with multiple upstream and downstream systems, dynamic reporting and data processing and AI-driven analytics are the key factors in current technological world
As an organization we need to deploy AI into various functions as re re-engineered process. I have mentioned a few functions where Artificial Intelligence is essentially required. This paper supports organizations to look effectively into various business cases where we can dive deep to make things happen and embed Artificial Intelligence where it improves functionality.
AI in Human Resources
HR AI helps to understand the HR processes faster by accessing relevant, simplified query resolution. It also helps to improve to process of information, queries, issues, requests and other HR workflows, identifying the best performer, next Leadership. AI-driven interviews and designed programs support in identifying business stars and talent programs
AI-powered Chatbots
Everyone’s favourite assistant that can be deployed on any website or mobile app and helps with instant responses to all the queries from visitors.
The conversational ability of the bot is increased with capability of AI with automated responses to FAQ. Analytics can be done for the statistics of information accessed through a chatbot
AI-empowered Management Information Systems / Quality Management
Management Information Systems and data analytics are the backbone of a company. However, the essential data analytics and result is done using AI tools which supports in faster decision-making resulting in better results of an organization
AI-based Laboratory Management System
The process control and data are essential to identify the process capability. The dynamics of process and statistical analysis using AI-powered laboratory management systems are supportive in identifying the process capability and effective Six Sigma, thereby ensuring a stable process
AI for Operation and Maintenance
Equipment healthiness checks can be verified using AI tools for predictive maintenance, condition-based monitoring. This helps to avoid downtime, thereby identifying the premature failures and improving revenue, and reduction in maintenance cost. AI-powered thermal imaging helps to identify the red hot spots in the furnace and supports immediate decision-making for process control
AI in Security, Defence and Information security
Artificial intelligence has become wide range of usage in Defence and security. It is basically used for border surveillance. The defence sector uses AI-based technologies for training, surveillance, logistics, cybersecurity, UAVs, advanced military weaponry like LAWS, autonomous combat vehicles, and robotics
AI improves zero trust security by threat detection, sending alerts for decision-making, thereby making systems resilient and secure. Manual systems may bring human errors, AI constantly verifies the behaviour tirelessly on a continual basis, challenging the manual processes.
AI always Increases Revenue of an organization
AI integrated systems in logistics, sales help customers to meet the product demand, thereby providing the right information.. Be it the automobile industry or manufacturing, or the IT industry, catering to customer needs, AI empowered solution usage in each stream will increase the revenue.
A recent survey conducted by Salesforce reveals that 93 per cent of small and medium businesses (SMBs) utilising artificial intelligence (AI) have experienced an increase in revenue. The study involved 3,350 SMB leaders globally. Source: Business Today
AI-based analytics and Humans
It is very important that AI bugs result in erroneous activity sometimes, and human intervention in monitoring AI analytics matters a lot. Hence, let us intelligently adopt Artificial intelligence for better efficiency of systems with effective monitoring, control, compliance and adoption with security trust enabled. An AI model with a monitoring culture and technology strategy always makes a tech-savvy organisation.
