In the dynamic landscape of technology, the roles of Chief Information Officers (CIOs), Chief Technology Officers (CTOs), Chief Data Officers (CDOs), and IT heads are pivotal in driving innovation and navigating the complexities of digital transformation. These leaders are at the forefront of integrating emerging technologies to enhance organizational capabilities, ensuring their firms remain competitive in an ever-evolving market. The transformative potential of Artificial Intelligence (AI) and Machine Learning (ML) in real-time data analysis cannot be overstated. By leveraging these technologies, organizations can swiftly adapt to market changes and detect anomalies, ensuring robust cybersecurity and data management. Additionally, Quantum Computing's ability to handle vast data sets offers precise predictions in areas like finance and healthcare, addressing scalability issues and enabling more accurate decision-making.
Staying attuned to technological advancements is critical. Key trends such as edge computing, which brings computation closer to data sources, and augmented analytics, which uses AI and ML for deeper insights, are essential for enhancing data management and analytics capabilities. These trends enable organizations to make informed decisions and maintain a competitive edge. A strategic approach to digital transformation is necessary. Integrating AI-driven analytics and real-time data processing can significantly boost operational efficiency and customer service. Enhancing digital infrastructure and adopting sustainable technology solutions are vital for staying at the forefront of operational efficiency and customer engagement. The impact of AI, machine learning, and edge computing on data management is profound. Developing sophisticated compliance solutions driven by stronger data privacy requirements, emphasizing sustainable practices, and fostering talent development are essential for organizations aiming to thrive in the digital age. The advantages of hybrid and multi-cloud architectures are becoming more apparent.
The following insights from technology leaders demonstrate the strategic adoption of emerging technologies which are essential for driving innovation, ensuring data security, and maintaining a competitive advantage in today's digital age.
Emerging Trends in Data Management and Analytics Revolutionizing the Digital Landscape
Adv (Dr.) Prashant Mali
Cyber Law Expert, Bombay High Court
“Emerging trends significantly influencing data management and analytics include AI and machine learning for advanced insights and real-time decision-making, and edge computing for reduced latency and faster analytics. Blockchain will enhance data security and integrity, while stricter data privacy regulations will drive sophisticated compliance solutions. Augmented analytics will democratize data access, and the proliferation of IoT devices will necessitate more efficient data storage and processing capabilities.
In a digital-first landscape where personalized experiences reign supreme, Media Companies cultivate customer trust by prioritizing data privacy and transparency, ensuring customers know how their data is used and protected. We leverage advanced analytics and AI to deliver personalized content seamlessly across all digital platforms, maintaining consistent and engaging interactions. Our robust cybersecurity measures safeguard user data against threats, while our responsive, multi-channel customer support ensures prompt issue resolution. Additionally, we continuously gather and act on customer feedback to adapt and enhance our services, meeting evolving expectations and reinforcing trust.”
Gen-AI, Cloud Costs, and Security Solutions navigating the Future
Arvind Kumar
AVP-IT, Pathkind Labs
“As we look ahead, several emerging trends are poised to significantly impact data management and analytics.
Generative AI (Gen-AI): Organizations will learn to adopt and leverage generative AI. This technology creates valuable insights, automates processes, and enhances decision-making. Gen-AI will play a crucial role in extracting value from data.
Effective Cloud Cost Management: As organizations operate in multi-cloud environments, managing cloud costs becomes critical. In 2024, expect a focus on efficient cloud cost management to optimize spending while maintaining performance.
Simplified Data Security and Governance: Amidst evolving regulations and cybersecurity threats, organizations will seek simplified data security and governance solutions. Ensuring compliance and protecting data assets will remain a priority.”
Envisioning ongoing innovation in a dynamic environment while upholding compliance
Ashish Gupta
CIO and CISO, NEC Corporation India Pvt. Ltd.
“At NEC India, we employ a multifaceted approach that integrates robust policies, advanced technologies, and a strong organizational culture. Our teams remain committed to leveraging technology and evolving leadership capabilities. Our vision is to lead the industry through continuous innovation while maintaining compliance and ensuring sustained success in a dynamic environment.
• Comprehensive Compliance Framework: Our robust framework that encompasses relevant regulations and industry standards, including the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), Health Insurance Portability and Accountability Act (HIPAA), and others. This framework provides clear guidelines for handling personal data, ensuring compliance across all data-related activities.
• Privacy by Design: We prioritize privacy considerations from the inception of any project through an approach known as “privacy by design.” This involves conducting privacy impact assessments (PIAs) to identify and mitigate potential risks, implementing data minimization practices by collecting only necessary data, and offering transparent consent mechanisms to users, allowing them to control their data.
• Continuous Compliance Monitoring: To ensure ongoing compliance, we employ automated tools that monitor compliance in real time. These tools detect anomalies or deviations from established policies, monitor access controls and permissions, and generate compliance reports for auditing purposes.
• Employee Training and Awareness: Our employees undergo comprehensive training on data privacy and security at regular intervals including awareness sessions, workshops, and certifications.
• Risk-Based Approach: We recognize that not all data carries the same risk, so we prioritize compliance efforts based on risk levels. We pay more attention to high-risk areas while lower-risk areas allow for more flexibility and innovation. This approach optimizes resource allocation and encourages innovation without compromising security.”
Self-Service Analytics and Cloud Infrastructure Revolutionizing Insights
Bharat B Anand
Global CIO, Contact Global
“Emerging trends such as augmented intelligence, prescriptive analytics, and Reporting-as-a- Service are set to revolutionize data management. These innovations simplify complex data structures, allowing users to generate insights without heavy reliance on IT departments. The shift towards on-demand reporting and analytics is facilitated by advances in computational power and cloud infrastructure. By empowering users across various functions with self-service analytics tools, we enhance decision-making processes and drive business agility.
Our key priorities include leveraging technology to fuel business growth, enhancing user experience, focusing on security, and driving innovation. We aim to utilize AI and analytics to transform our operations and ensure robust security measures to protect our diverse business sectors. User experience is at the heart of our business strategy. We believe that technology should be intuitive and seamless, eliminating the need for extensive user training. Just as booking an Uber requires no manual; our goal is to create interfaces that are effortlessly navigable. This approach not only enhances customer satisfaction but also drives business growth by making our products and services more accessible and user-friendly. The focus on user experience ensures that our customers can engage with our technology confidently and efficiently.”
The software development industry is changing while making it possible for engineers to operate more efficiently
ATUL GOVIL
CHIEF TRANSFORMATION OFFICER - HEAD (SAP & IT), INDIA GLYCOLS LIMITED
“Historically, technology has facilitated mass production in various sectors, from automotive manufacturing to electronics. Now, we're witnessing automation's expansion into software development, challenging traditional processes and opening new avenues for efficiency. Tools like GitHub Copilot are revolutionizing software development, enabling developers to work more productively.
This shift has profound implications for the workforce. For instance, large, progressive companies have begun re-evaluating their hiring strategies, opting to leverage these technologies rather than expanding their junior developer teams. This strategy underscores a broader trend towards automation that could reshape the economic landscape far sooner than anticipated. Research suggests that by 2030, 30% of the tasks in the U.S. economy could be automated. Given the pace of technological advancement & user friendly new age tools, below aspects of Business transformation would need to be implemented, adopted swiftly:
Process Transformation - focuses on your org processes using data, analytics, to lower costs and drive operational efficiency in the business.
Business Model / Transformation - making fundamental changes in how business or organization runs or introducing new products using digital levers. To pivot into a new domain or area that a business may not have explored before by acquiring new technologies.
Cultural/Organizational Transformation – challenge legacy working, redefine mindsets, processes, capabilities and skills for a growth oriented digital world.”
Using statistical algorithms and historical data, predictive analytics predicts about future trends
Bhaskar Rao
CISO, Bharat CO-Operative Bank Ltd.
“In the Indian banking sector, several emerging trends are poised to significantly influence data management and analytics in the foreseeable future:
Artificial Intelligence (AI) and Machine Learning (ML): With the increasing use of digital channels, the banks are generating huge real-time data. AI and ML technologies are increasingly being adopted to analyze the banking data in real-time. These technologies can identify patterns, detect anomalies, and provide personalized insights to improve decision-making, risk management, and customer experience. Using Real-time data AI/ML enables faster decision-making, personalized marketing campaigns, and improved fraud detection.
Predictive Analytics: Predictive analytics leverages historical data and statistical algorithms to forecast future trends. The Banks are continuously adopting the predictive analyitcs to define customer-centric products, credit rating scores, fraud detection, etc.
Regulatory Technology (RegTech): With the increasing regulatory requirements, banks are turning towards RegTech solutions to streamline compliance processes and ensure timely adherence to regulatory compliances. RegTech platforms leverage data analytics, AI, and automation to facilitate regulatory reporting, risk management and compliance monitoring.
Data Privacy and Security: With the introduction of the DPDP Act and growing concerns about data privacy and security, banks are continuously investing in advanced technologies on protection, authentication and access control mechanisms to protect sensitive customer information. Protection of the PII data is an utmost priority for all the banks and banks are investing in various tools like Data Leakages (DLP), data privacy, encryption tools etc.”
More sophisticated compliance solutions will be driven by stronger data privacy requirements
Harmit Singh Malhotra
Chief Technology Officer, NDTV-Profit
“Emerging trends significantly influencing data management and analytics include AI and machine learning for advanced insights and real-time decision-making, and edge computing for reduced latency and faster analytics. Blockchain will enhance data security and integrity, while stricter data privacy regulations will drive sophisticated compliance solutions. Augmented analytics will democratize data access, and the proliferation of IoT devices will necessitate more efficient data storage and processing capabilities.
For the fiscal year 2024-25, Media Tech's priorities include advancing digital transformation through AI and cloud infrastructure, enhancing audience experience with personalized and interactive content, and strengthening cybersecurity and data privacy measures. We are committed to sustainable practices, fostering innovation through R&D, and expanding globally with localized content strategies. Additionally, we will focus on talent development and diversity to maintain our competitive edge.”
Trends shaping Data Management from AI Algorithms to ethical practices
Avaneesh Vats
Head (IT), CESL/ / GM(IT), EESL
“The foreseeable future, several emerging trends are poised to significantly influence data management and analytics:
Augmented Analytics: Augmented analytics integrates artificial intelligence (AI) and machine learning (ML) algorithms into data analytics platforms to automate data preparation, insight generation, and interpretation. This trend enables organizations to derive actionable insights more quickly and accurately, empowering business users with advanced analytics capabilities.
Explainable AI (XAI): As AI and ML models become more prevalent in data analytics; there is a growing need for transparency and interpretability. Explainable AI (XAI) focuses on making AI algorithms and their decisions understandable to humans. This trend is crucial for building trust in AI-driven analytics solutions, especially in regulated industries or high-stakes decision-making scenarios.
DataOps: DataOps is an agile methodology that applies DevOps principles to data management and analytics processes. It emphasizes collaboration, automation, and continuous integration/continuous delivery (CI/CD) practices to streamline data pipelines, improve data quality, and accelerate time-to-insight. DataOps will become increasingly important as organizations seek to operationalize data analytics at scale.
Ethical AI and Responsible Data Management: With increasing concerns about data privacy, bias, and ethical use of AI, organizations are placing greater emphasis on ethical AI and responsible data management practices. This includes implementing fairness, transparency, and accountability measures in AI algorithms, as well as ensuring compliance with regulations such as GDPR and CCPA. This trend will shape the future of data management and analytics, influencing how organizations collect, use, and protect data assets responsibly.
Overall, these emerging trends reflect the ongoing evolution of data management and analytics in response to technological advancements, changing business needs, and societal expectations. Embracing these trends will be essential for organizations to stay competitive and derive maximum value from their data assets in the coming years.”
Through more advanced analysis, predictive modelling, and automation, AI and ML revolutionizing data management
Dinesh Kaushik
Group IT Head, Sharda Motor Industries Ltd.
“Several emerging trends are poised to significantly influence data management and analytics in the foreseeable future:
Artificial Intelligence and Machine Learning: AI and machine learning are transforming data management and analytics by enabling more sophisticated analysis, predictive modeling, and automation. These technologies can uncover insights from large and complex datasets, improve decision-making processes, and enhance the efficiency of data management tasks such as data cleansing and classification.
Edge Computing: Edge computing involves processing and analyzing data closer to its source, such as IoT devices or sensors, rather than relying solely on centralized data centers. This approach reduces latency, minimizes bandwidth usage, and enables real-time analytics, making it particularly well-suited for applications requiring fast decision-making or operating in remote or resource-constrained environments.
Data Governance and Privacy: With increasing concerns around data privacy, security, and regulatory compliance, data governance practices are becoming more important for organizations. This includes implementing robust data governance frameworks, ensuring data quality and integrity, and enforcing compliance with data protection regulations such as ISO, GDPR, CCPA, and others.
DataOps: DataOps is an approach that emphasizes collaboration, automation, and agile practices to streamline and accelerate the entire data lifecycle, from data acquisition to analysis and deployment. By breaking down silos between data teams, implementing DevOps-inspired methodologies, and leveraging automation tools, organizations can improve the efficiency and effectiveness of their data management and analytics processes.
These emerging trends are likely to shape the future of data management and analytics, empowering us to derive deeper insights, make more informed decisions, and unlock new opportunities for innovation and growth.”
Organisations may improve their data management and analytics skills by staying attuned to technology trends
Dr. Jagannath Sahoo
CISO, INOXWIND
“Considering the rapid advancements in technology, several emerging trends are expected to significantly influence data management and analytics in the foreseeable future:
Artificial Intelligence and Machine Learning: Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing the technology landscape by enabling systems to learn from data and improve over time without explicit programming.
Edge Computing: Edge computing brings computation and data storage closer to the sources of data, such as IoT devices or local servers, rather than relying on centralized data centers.
Data Privacy and Security: Data privacy and security are critical concerns in the digital age, where vast amounts of personal and sensitive data are collected and processed.
Cloud Data Platforms: Cloud data platforms provide scalable, flexible, and cost-effective solutions for managing and analyzing large volumes of data.
Augmented Analytics: Augmented analytics leverages AI and ML to enhance data preparation, analysis, and insights generation.
Real-Time Analytics: Real-time analytics involves processing and analyzing data as it is generated, providing immediate insights and enabling timely actions.
Data Fabric Architecture: Data fabric architecture is an integrated data management framework that enables seamless access and processing of data across disparate sources.
Data Integration and Interoperability: Data integration and interoperability involve combining data from different sources to provide a unified view and ensuring that disparate systems can work together seamlessly.
Quantum Computing: Quantum computing represents a paradigm shift in computing, utilizing the principles of quantum mechanics to perform computations far beyond the capabilities of classical computers.
By staying attuned to these trends, organizations can enhance their data management and analytics capabilities, driving more informed decision-making and maintaining a competitive edge in the marketplace.”
Digital transformation is not about acquiring new tools but about crafting a strategy for strategic utilization
Dr. Subroto Panda
CIO-Information Technology Group, Anand and Anand
“As a CIO, I'm constantly evaluating how advancements in technology will reshape data management and analytics. Here are some key trends I believe will significantly impact the field:
From Technology Access to Business Agility
The availability and affordability of handheld computing have democratized access to technical modernised applications with intuitiveness. However, the real challenge lies in harnessing this power to develop and implement effective digital business models. Digital transformation isn't about acquiring new tools; it's about crafting a strategy for strategic utilization.
Building Cross-Functional Teams for Innovation
The age-old siloed application environment has compelled collaboration for maximum efficiency and to interoperate. This allows for the complementary expertise necessary for developing innovative products and services that integrate seamlessly with the digital landscape.
The Rise of Data-Driven Services
This data, collected and analyzed, offers valuable insights into service performance and usage patterns. Service-oriented legal firms, in particular, can leverage this data to optimize service delivery and reduce costs.
Big Data Opportunities in Traditionally Paper-driven Industries
Traditionally Law firms being completely paper driven but thankfully due to the Covid have become more data creators and crafted new models to use these data points in real life scenarios like advanced matter management, data analytics give valuable insights and better manageability for resource allocation.
The Modern Data Management Toolbox
To effectively manage and leverage this growing data volume, a suite of modern data management tools is crucial. This includes solutions for master data management (MDM) to ensure data consistency, AI and data analytics for extracting insights, billing analysis to optimize service pricing, and responsiveness data to measure service effectiveness.
By prioritizing these emerging trends, Firms can unlock the true potential of their data and gain a competitive edge in the digital age.”.
Utilizing AI and advanced analytics to improve customer service skills and boost operational efficiency
Dr. Sandip Pradhan
Chief Information Officer, Exide Industries Limited
“Emerging trends including edge computing, real-time data processing, and AI-driven analytics are set to significantly impact data management strategies. The integration of these advanced technologies will facilitate faster and more precise decision-making, optimizing our operations and elevating customer experiences. By leveraging these innovations, we position ourselves at the forefront of operational efficiency and customer engagement, ensuring our strategies are both effective and forward-thinking.
For the fiscal year 2024-25, Exide Industries Limited (EIL) is dedicated to a strategic agenda that prioritizes the enhancement of our digital infrastructure and the adoption of sustainable technology solutions. A key focus will be on bolstering cybersecurity measures to safeguard our data and operations. Furthermore, we are committed to harnessing the power of advanced analytics and artificial intelligence to elevate our operational efficiencies and enrich our customer service capabilities. Additionally, we plan to integrate RPA coupled with AI to streamline our processes and enhance accuracy in operations. This integration will not only improve efficiency but also allow our workforce to focus on more strategic tasks. Skill-building within our IT teams is another critical area, ensuring our employees are well-equipped with the latest technological skills and tools to navigate and thrive in an increasingly digital landscape.”
The distinctive prowess lies in the ability to handle complex cyber-forensics and cyber-law
Dr. Harold D'Costa
President, Cyber Security Corporation
“Artificial Intelligence and Machine Learning: AI & ML is enabling the organization to adapt itself in an unconditional market and customer preferences in real time. The algorithm analyses vast amount of data in real time which helps in detecting anomalies and respond swiftly to market dynamics
Quantum Computing: Quantum Computing offers a solution to the problem of scalability when dealing with vast data by providing adequate computing power. It can be used more accurately in predicting stock market trends, disease outbreaks, weather patterns etc.
Data Governance: Data Governance helps to measure and ensure data is secure, accurate, available and usable. It influences how the data is managed and secured. It also includes what action must people take and what process they must follow to ensure safety of the system.
In the rapidly evolving digital landscape, characterized by an increasing demand for personalized experiences, our cybersecurity firm stands at the forefront, dedicated to cultivating and maintaining unwavering customer trust through a meticulous orchestration of seamless omnichannel interactions. Our distinctive prowess lies in the adept management of intricate cyber-forensics and cyber-law domains, ensuring that every interaction across diverse channels, spanning encrypted portals, emails, and consultations, remains securely shielded and consistently fortified.”
GeM Leverages AI and Automation for Hyper-Contextualized, Intuitive Sales and Purchase Solutions
Col. Dr Pankaj Dikshit
CTO, GeM
"With the twin powers of AI and automation combination, the next gen features that GeM is focusing on providing its users (buyers as well as sellers) an hyper-contextualized experience that results in customer delight. Building a customer DNA that offers them a customized, intuitive experience with a recommendation and prescriptive engine for their sales/purchases.
While Gen AI has now seeped into almost every sphere and threatens to overwhelm us, at GeM it is planned to be used to ensure better experience, higher efficiency and reliability and availability of the services to users with customized responsiveness. GeM will be ensuring Inclusion of AI in the tech upgrades, enhancing visibility of the system, pre-empting failures, improving learning using AI, and also generative AI conversational BI/BA using.
GeM is the digital platform for enabling and providing e-procurement services for G2B (government to business) transactions. In the past five years it has achieved hyperbolic growth in GMV of goods and services procured through the GeM platform. This phenomenal GMV value increase is testimony to the resounding success of GeM as a flagship initiative of the government to digitally provide inclusivity, transparency and participation of businesses in the spending of the government. While continuing to focus on growth of GMV, the priority of GeM in the coming year is to provide its customers with an increasing number of products and services and enrich their experience of using GeM with all technology and tools available – including AI and Gen AI.”
Real-Time Graph Processing: Advances in graph processing technologies will enable real-time analysis of highly connected data.”
It is imperative that all Indians who use a laptop or smartphone learn about cyber hygiene as a best practice
Prof. Triveni Singh
Chief Mentor, Future Crime Research Foundation
“In this digital age, the threat of crippling cyberattacks on a nation's critical infrastructure is one of the gravest risks we face. From power grids and water treatment plants to banking systems and airports, our vital networks and services are increasingly vulnerable targets for hostile nation-states and cybercriminals. As India rapidly expands its digital infrastructure and pivots toward embracing cutting-edge technologies, we must confront this ominous reality head-on. Recent years have seen a deeply concerning escalation in cyberattacks aimed at disrupting India's critical systems and services.
Cyber warfare represents the cosmos of 21st-century conflict, and India can ill afford to be out manoeuvred and paralyzed on this domain. We require both a proverbial cybersecurity 'shield' and a formidable cyber 'sword' to robustly safeguard our national digital sovereignty. Of course, the most robust cyber strategy is insufficient without an ecosystem of informed, security-conscious citizens. Just as nuclear preparedness involved educating the public on survival protocols, we too must launch a mass awareness campaign cutting across socioeconomic lines. Every Indian with a smartphone or laptop must be made cognizant of cyber hygiene practices like using strong passwords, scrutinizing email attachments, and identifying misinformation and scams. Our long-term cyber resilience depends on a national culture of digital literacy. India stands at a pivotal juncture in our technological evolution.”
The widespread application of AI in collecting and analyzing information poses serious risks to personal privacy
Rishi Mehta
President & CEO, WAISL Limited
“AI technologies are embedded in various sectors, including healthcare, finance, law enforcement, hospitality, education etc. These applications highlight the potential benefits of AI, such as improved efficiency, enhanced decision-making, and the ability to solve complex problems. However, they also raise significant ethical concerns, particularly regarding bias:
Bias and Fairness: AI systems can perpetuate and even amplify existing biases present in their training data. For instance, in facial recognition technology, studies have shown that systems often have higher error rates for people with darker skin tones compared to those with lighter skin.Privacy and Surveillance: The pervasive use of AI in data collection and analysis poses significant threats to individual privacy. AI-driven surveillance systems can infringe on personal freedom, and the misuse of personal data can lead to identity theft and other malicious activities.
Accountability and Transparency: Determining who is responsible for the actions and decisions made by AI systems is challenging. The "black box" nature of many AI algorithms makes it difficult to understand how decisions are made, leading to accountability issues. For example, AI-driven hiring tools have been found to exhibit gender and racial biases. A well-known case involved an AI hiring tool that favoured male candidates over female candidates for technical roles because it was trained on resumes predominantly from male applicants.
Autonomy and Control: The deployment of autonomous systems, such as self-driving cars and drones, raises questions about human control and oversight. Ensuring that these systems can be overridden or controlled by humans is essential for safety and ethical governance.”
With the introduction of new technology, Volatility changes in consumer tastes, and market trends
Vijay Sethi
Chairman, Mentorkart & Crafsol Technologies
“All of us have seen so many changes in the Technology World over last few years. The way almost 15 years back SMAC (Social, Mobile, Cloud and Analytics) changed the IT landscape to the way AI and Gen AI are impacting our organizations, we can all feel that we truly live in a VUCA world – a world that has Volatility (where things change rapidly and unexpectedly like emergence of new technologies, shifting of market trends and customer preferences), Uncertainty (there is a lack of predictability about future events or outcomes), Complexity (Everything is becoming intricate and interconnected) and Ambiguity (though we feel we have lots of information but in so many cases, information is often unclear or incomplete). And each of this is impacting our organization’s growth (and survival in many cases) There are times one feels that IT Leaders are always on a roller coaster where situations go up and down suddenly or the Leaders are driving in foggy conditions where they can’t see clearly a few meters (or months in case of IT) ahead. It is in this VUCA world, that IT leaders have to ensure that their organizations not only survive but thrive because irrespective of the world around, each organization's desire to grow is only increasing and so is the urge to do more with less.”
Enhancing Automation, Technology Upgradation, and Operational Efficiency to adopt Industry 4.0
Saurabh Gupta
Group Chief Digital & Information officer, Gujarat Fluorochemicals Ltd.
“We are running a large Tech Led Business Transformation program called “e-Parivartan” which compromises of multiple Technologies which compromises of SAP S/4 HANA, Salesforce, Data Lake, Qlik Analytics, RPA, Testing Automation, Vendor Invoice Management and some more technologies. The Program is backed by 100% Cloud Infrastructure making it as agile as possible. We are looking at all possibilities of making the organisation future ready and this program will be a significant step in making a strong backbone for the organisation.
In addition to this we are also focusing on the other IT Portfolios by defining as a separate theme as:
Smart Factory: Under this pillar we are benchmarking ourselves vis-a-via industry peers towards adoption of Industry 4.0 in the areas of Automation and Technology upgradation in Plant Operations, Laboratory Management, Operation Technology in which we are implementing Remote Guided Helmet assistance using MS Teams to connect with site engineers to the Technology providers, IOT based condition monitoring of the rotatory equipment’s, Implementation of Laboratory Management system with lap Equipment integration to ensure digitisation of QMS.
For Energy generation plants we are also evaluating Online Closed Loop Optimization (APC- Advanced Process Control): The application generates optimization recommendations (typically every minute) and gives set point to controllers directly with no operator intervention; system-driven, autonomous, and automatic control of the plant.
Suraksha Kavach: Under this pillar we are focusing in the areas of Cyber Security, Data Protection and IT Governance.”
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