| |SEPTEMBER 202619dashboards for management to take decisions. The use of AI or IoT has started, but it is still at an early stage of implementation, as companies first must address data management systems and establish data lakes before adopting AI- or IoT-based solutions.In what ways is integrating real-time data and AI-driven analytics into EHS systems helping Indian pharma manufacturers reduce risks while improving compliance, efficiency, and operational workflows?Currently, in most companies, especially the top companies have already installed automation systems for production, quality control, and engineering. For production, there is an MES system for quality control, there is a LIMS system; and for warehouse and material management, there is an SAP/ bar code system. All these systems are already being used by many pharma companies and are at a fairly mature stage.Now, the focus is on how to make use of these systems when all the data is available at common place. Companies have started building analytics to create dashboards. Once all the systems are integrated into a single platform, AI tools can be introduced to generate predictive insights, which can help organizations improve their overall EHS compliance.What challenges are Indian pharmaceutical manufacturers facing in adopting next-gen EHS technologies, such as cost, infrastructure, and skills gaps, and how are they overcoming these obstacles?There are certain challenges companies face in integrating these technologies. To clearly further, one is adaptability. Implementing such systems in existing operational plants takes time because it requires several modifications to the plant and systems. It can be implemented immediately on day one if a new plant is being designed or constructed.The second challenge is timelines. Due to the above complexities, the timelines tend to be longer. Timelines also depend on the ability of companies to invest, as implementing this technology in existing plants requires additional capex. Another challenge is the need for skilled personnel. Implementing automation, analytics, or AI-based systems requires people who understand these technologies and have the necessary education and skills.These are the key challenges most organizations are facing, and it is a matter of time as most companies are moving in this direction for future EHS compliance.Looking ahead, how do you see AI and machine learning shaping future EHS compliance strategies and safety standards in India's pharmaceutical manufacturing sector, especially with regulatory changes?When companies move from a reactive to a proactive mode, it is going to improve overall EHS standards as well as compliance and regulatory requirements. To achieve this, they need to first create a data management system and a data lake, and then implement AI and data analytics, which will provide dashboards at various levels as required. Some next-generation technologies are also being adopted; smart EHS wearables are now available that can capture live data on the shop floor, send it to a data lake, and provide predictive insights. Additionally, remote drones are being used for large or high-rise buildings to capture data. Such technologies are becoming more common, and new innovations continue to evolve as this journey progresses. POIntegrated systems like MES, LIMS, and SAP are enabling pharma firms to centralize data, paving the way for advanced analytics and predictive EHS insights
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