AI POWERED ENTERPRISE SYSTEMS
AI DRIVEN MES
AI DRIVEN MES
AI DRIVEN MES
Integrating Artificial Intelligence (AI) with your Manufacturing Execution System (MES) can transform the way you manage production processes. It enables you to transform your operations into a more efficient, data-driven, and agile enterprise. AI can provide the intelligence and automation needed to turn raw data into actionable insights, allowing manufacturers to optimize processes, reduce downtime, and improve product quality.AI is moving MES toward self-optimization — where the system learns from outcomes and continuously tweaks production plans, shift loads, and line balancing to achieve better efficiency without human intervention.
AI DRIVEN ERP
AI DRIVEN MES
AI DRIVEN MES
AI transforms ERP with automation, predictive insights, and real-time optimization—eliminating inefficiencies and unlocking growth like never before. AI, or Artificial Intelligence, can be used to improve ERP (enterprise resource planning) solutions in several ways.AI can be used to automate tasks such as financial forecasting, risk management, and inventory optimization. AI can also be used to provide predictive insights into customer behaviour and preferences, allowing companies to make data-driven decisions. Additionally, AI can be used to better analyze large amounts of data, providing businesses with valuable insights and actionable intelligence. Finally, AI can be used to monitor and analyze user behaviour, helping to create personalized experiences and improve customer service.
AI DRIVEN CRM
AI CRM is a customer relationship management software that incorporates Artificial Intelligence and Machine Learning to analyze customer data and trends, make predictions, recommend the next best actions, and automate routine CRM tasks.
AI in CRM serves as a powerful assistant that utilizes available customer data to improve customer engagement, conversion, retention, and value. By employing techniques like lookalike modeling, AI identifies common traits of top customers, helping companies target potential buyers who share similar attributes and are more likely to engage with their offerings. AI automates the design of marketing campaigns by autonomously designing marketing campaign workflows based on previous successful campaigns, audience analysis, marketing playbooks, and market trends.
AI POWERED AUTOMATION
AI workflow automation is poised to transform business operations from the shop floor to the C-suite in the AI economy. AI workflow automation involves using artificial intelligence to automate and streamline repetitive tasks within a workflow to enhance efficiency and productivity in business operations. Beyond that, AI workflow automation makes it easier to efficiently scale growth by integrating a wide range of digital tools (e.g., robotic process automation, APIs, software robots) and orchestrating the automation of routine tasks within and between core business processes. Fueled by machine learning, AI replicates human cognitive processes, adapting and improving over time. This is where intelligent automation comes into play, infusing workflows with advanced cognitive capabilities. Intelligent automation allows machines to think, learn, and make decisions autonomously. Traditional business process management (BPM) and AI workflow automation work together to streamline business processes. Integrating AI into BPM takes workflow automation to another level, enhancing its design, execution, and monitoring capabilities and propelling it forward by introducing intelligent decision-making, adaptability, and learning into workflows.
AI POWERED ENTERPRISE SYSTEMS: ENTRY LEVEL COURSES
Scenario simulation & self-optimising system through AI integrated MES using real time data. E-1.5
Integrating AI with MES requires strategic planning to ensure compatibility, data security, and operational efficiency. Besides strategic planning, choosing the right AI technology is the most crucial step. AI tools need to be selected to digitise the legacy systems into self optimising systems with real time data analytics.
This course introduces several platforms with specific objectives of optimising the system through ML and AI algorithms.
AI POWERED ENTERPRISE SYSTEMS: advanced LEVEL COURSES
Composite Nocode solution using AI, IoT computer vision & analytics to manage Smart Enterprise A-1.5
This course develops the ability to understand the impact of integration of digital technologies on an enterprise. The ability to manage a smart enterprise is developed using a composite no code platform for data aggregation from sensors, ERP, MES, CRM and other systems.
Understanding different Enterprise platforms & integrating AI agents for workflow automation A-2
Integration of AI agents for automating workflows has different structure for different enterprise platforms like ERP, CRM, QMS, MES etc.
This course introduces the learners to the functional processes, integration of AI agents, algorithms and other workflow automation tools. The course develops the ability to understand the critical processes across different functions of the enterprise, their inter-relation, critical workflows, their impact and the basics of designing the AI agents & chatbots and their integration process.
Understanding the configuration process of a digitalized MES platform. A-1.5
This course follows the previous certification of understanding the different enterprise platforms. Following up, the learner will develop the ability to master the configuration process considering the metrics and KPI's, the process flow and how the different workflows relate to performance outcomes.
Using a low-code platform to seamlessly integrate AI with MES A-1.5
This course develops the ability to configure and use a low code platform for integrating AI algorithms with different constituents of MES. The course also develops the ability to integrate AI assistant, digitise frontline teams, uncover insights from operational data, digitise workflows and enforce compliance with SOP's.
Using a low code platform integrating IoT & AR for inspection & repairs in defence sector A-1.5
This course is very helpful for plant maintenance professionals to switch career or upskill to a digital maintenance professional. The learners will develop the ability to use an AI platform integrating data from sensors, placed on machines and equipments, and Augmented Reality interface driven by 3D maintenance manuals. The learners thus become adept for difficult sectors such as Oil & Gas, Mining, Defence and oddly placed heavy machinery in large industries.
Developing master model from raw data powered by advanced Causal AI to stabilize process KPI’s. A-2
Process KPI's and their key matrices are important to consider to stabilise and optimize the workflows. Data generated by the processes need to be analysed to map deviations and find the causes.
This course will help learners to develop a model integrated with advanced AI causal algorithms to process raw data from processes in real time and identify the process KPI's that deliver variances and thereby initiate correction quickly.
Introduction to ERP AI Chatbot platform: Development, Architecture, workflows, integration A-2
ERP AI chatbots are transforming how businesses operate and their customer service functionalities. These intelligence-driven ERP bots optimize processes, automate tasks, and provide real-time insights. ERP AI chatbots will become increasingly essential for organizations to gain a competitive edge in their respective industries. Businesses that adopt this transformative solution can expect streamlined operations, improved customer experiences, and a future-ready approach to stay ahead of the curve.
Introduction to AI powered CRM platform with customer service chatbots A-1.5
This course helps develop the ability to integrate chatbots for automation of customer interaction. An AI powered CRM platform can capture customer interactions and the data generated is used to configure chatbots.
Introduction to conversational AI platform for communication automation A-1
Customer interaction is a critical process in the marketing domain. Delayed response impacts the brand and overall effectiveness of the enterprise.
This course helps learners develop the ability to understand the automation process of omni-channel communication through conversational AI agents.
Introduction to AI powered multi-modal agentic workflow automation systems for Smart factory A-2
Advances in intelligent automation have ushered in a new era of mixed-autonomy innovation, where the strategic integration of AI into front- and back-office workflow automation plays a major role in maximizing employee productivity and driving game-changing improvements in decision-making processes.
AI-driven customer interactions and the implementation of AI-enhanced process automation turbocharge operational efficiency and showcase the intelligent capabilities that set AI workflow automation apart in the modern business landscape.
This course helps learners to understand the basics of AI workflow automation, KPI's and metrics of manufacturing system and how AI agents align with different AI models. On successful completion of this course, one can take up the next certification to complete the competency of implementation of AI workflow automation.
Implementation guidelines for AI workflow automation through RPA, AI assistants & chatbots. A-2
Implementing AI workflow automation requires a deep understanding of the processes and gaps, painpoints and assessment of impact on key performance metrics.
This course helps learners to develop the ability of planning and implementation of automation using multiple tools and deciding which tool to use to automate which process and thereby lead the implementation team to achieve effective outcomes for the enterprise.