Over the years, large enterprises have increasingly leveraged cutting-edge technologies to enhance operational efficiency and elevate customer experiences. Artificial intelligence (AI)-driven automation, big data, cloud and edge computing, and internet of things (IoT) are some of the key technologies shaping the future of business processes. Amid growing digital complexities, cybersecurity has become a top priority. Technology leaders from leading large enterprises share insights on emerging trends and the future roadmap…
How has digital adoption changed across enterprises in India over the past 25 years? What have been some game changing technologies/solutions?
Srikanth Appana
The adaptation and development of fundamental IT infrastructure in the late 1990s laid the foundation for India’s digital transformation. Further, the increased broadband connectivity in the early 2000s paved the way for digital revolution. This transformation has been accelerated over time with emerging technologies, increased internet penetration and government initiatives like Digital India. For corporates and enterprises to stay competitive, they must adapt and embrace digital-first strategies and go beyond digital enablement. While AI and machine learning (ML) have transformed businesses by enabling automation and predictive analytics, cloud computing has made scalable infrastructure more accessible to all.
Sarbani Bhatia
Digital adoption, which was at a nascent stage 25 years ago, is now a necessity for survival, growth and sustenance. The 2000s was the decade of dotcom magic. However, soon after the dotcom bubble burst, technology became more personal and portable. The launch of Wi-Fi, broadband expansion, and the introduction of cell phones, followed by the popularity of e-commerce and online banking owing to their ease and convenience, have been breakthroughs in the field of technology. The unprecedented data growth created demand for scalable storage and conversion of data to actionable insights. On-premise storage solutions became complex and expensive to manage. By 2010, tech giants had launched their cloud computing platforms, leading to the rise of IT consumerisation through social, mobile, analytics and cloud, which peaked in 2015-16. The Covid-19 pandemic, which hit the world in 2020, proved to be a big driver for digital adoption.
The past 25 years have transformed how we consume media. The growing dominance of digital platforms in the media and entertainment industry is evident as they offer flexibility and choice, catering to the requirement for on-demand and personalised content.
Rajneesh Garg
Traditionally, the logistics industry relied on manual processes, leading to inefficiencies, slow delivery times and limited visibility. However, with the rise of e-commerce and technological advancements, the sector has embraced digital solutions that have significantly improved efficiency, transparency and customer experience. Plenty of new technologies have reshaped the Indian logistical landscape. For example, big data is being implemented by nearly 70 per cent of all logistics firms in India for effective decision-making. Other key technological innovations include AI/ML, IoT devices such as sensors and RFID tags, cloud logistics, blockchain, autonomous vehicles and drones.
Harsh Jha
India has had the unique advantage of adopting cutting-edge innovations and technologies slightly later, allowing the country to select the best possible options and get the benefits of proven solutions while avoiding the costly mistakes of first movers.
However, since digital or technology innovations can affect both the broader industry as well as financial services specifically, we believe it is important to capture their effects from both angles to provide a holistic picture.
During 2000-2010 (the period of foundational innovations), the telecom industry witnessed the emergence of broadband internet and early mobile phones, followed by the introduction of 3G and smartphones, which provided mobile access to many Indian companies and households. Further, the period saw important innovations like NEFT/RTGS and the roll-out of Aadhaar, which laid the groundwork for the next decade of financial inclusion in India.
Further, the said period witnessed rapid advancement in smartphone capabilities along with the launch of 4G services. We saw cloud computing and big data take root in the country, leading to initial forays around AI/ML and RPA, which fundamentally altered the way businesses were run. In financial services, we saw one of the most important innovations in the payment space with the introduction of UPI. This was followed by the rise of various payment service providers and increasing adoption post-demonetisation. With the introduction of KRA, CKYC, Digilocker and Aadhaar E-sign, the ability for new customers to be onboarded fully online became a possibility.
Post 2020, with the Covid-19 outbreak, companies increasingly focused on remote work and a slew of software-as-a-service (SaaS) solutions were introduced to fill the gaps. We also saw the rise of low-code and no-code platforms, as a dearth of quality development talent required non-developers to take over. Additionally, we saw the roll-out of 5G and, with it, the increasing threats of cyberattacks and the growing importance of cybersecurity in the industry. GenAI made a huge splash and holds the promise to fundamentally alter the industry with its march towards AGI and superintelligence, hopefully within the second half of the decade.
Dr Sushil K. Meher
Technology has changed immensely in the past 25 years. It has improved our lives by keeping us connected to information, entertainment and each other. The first internet service started in 1995. Over time, wireless technologies like Wi-Fi, introduced to consumers in 1997, and Bluetooth in 1999 became indispensable for connecting devices and paving the way for the smartphone era that began post 2007. As the internet grew essential in every sphere of life, IoT took shape, linking sensors and appliances that collect and share data with minimal human interaction. Simultaneously, voice assistants emerged.
Today, technologies like blockchain provide a secure digital ledger system for transactions, while AI has advanced to handle tasks typically done by humans, including facial recognition and medical diagnostics. RFID technology has found broad use in tracking inventory and enabling contactless identification in retail and logistics. augmented reality (AR), virtual reality (VR), mixed reality (MR), and extended reality have opened new possibilities in training, healthcare, and simulations. GenAI is demonstrating the ability to create text, images and videos, paving the way for more natural machine interactions across various industries. Brain-computer interfaces are enabling communication between the human brain and external devices. AI-driven drug discovery and personalised medicine is using genetic insights to target treatments. Advanced wearables such as smartwatches, activity trackers and medical patches provide constant health monitoring and convenience. Finally, 5G, with its high-speed connectivity and low latency, expands possibilities for everything from autonomous systems to richer IoT ecosystems. These developments underscore how digital adoption is reshaping enterprises in India, making operations more efficient, connected and ready for further innovations in the years ahead.
Manish Misra
Digital adoption across enterprises in India has undergone a remarkable transformation, driven by a combination of government initiatives and private sector innovation, thereby positioning the country as a leader in the global digital landscape. Innovation in the ICT space has further led to a more interconnected environment by significantly lowering data prices and increasing mobile data use. With cloud-first operations driving the rise of Indian start-ups and MSMEs, the adoption of cloud technology has become widespread. The emergence of digital payment systems and the convergence of cutting-edge technologies such as AI, ML and IIoT have been reshaping enterprises operating in fields such as manufacturing, healthcare and agriculture.
Pramod Mundra
Digital adoption in India has transformed significantly over the past 25 years, evolving from basic connectivity services to a comprehensive, technology-driven ecosystem. Initiatives like Digital India have accelerated this shift, making digital integration essential for industries across sectors.
The rise of digital payments, led by UPI, has redefined transactions, particularly in retail, e-commerce and services, enabling seamless financial interactions. Similarly, technologies like IoT have optimised operations in manufacturing, energy and logistics by enabling real-time monitoring and predictive maintenance. AI has enabled data-driven decision-making, enhancing efficiency and customer experiences across industries. Cloud computing has further enabled businesses to scale and innovate without traditional infrastructure constraints, transforming how industries operate in dynamic markets. Over time, enterprises have embraced a digital-first mindset, embedding technology into their core strategies to stay competitive and future-ready.
Avinash Naik
Over the past 25 years, ICT adoption across enterprises has undergone a significant transformation. This journey has been marked by several key phases and game-changing technologies that have reshaped the business landscape.
The government’s Digital India policies have played a crucial role in accelerating the adoption of digital technology at both consumer and organisational levels. Technologies such as AI, blockchain, VR/AR/MR, advanced analytics, internet of things (IoT), cybersecurity, hybrid clouds and now generative AI (GenAI) have been game changers.
The rise of the app economy and digital payments has also driven the consumption of services, while cloud computing has introduced new consumption models, making technology more accessible and cost-effective. The thriving start-up ecosystem in India, supported by global investors, has further fuelled entrepreneurship and innovation.
Overall, the adoption of ICT in India has not only transformed traditional business models but also supported millions of small- and medium-sized enterprises (SMEs), making them major contributors to the country’s GDP.
How are enterprises leveraging next-generation technologies, such as AI, IoT, big data, automation and robotics, to enhance business efficiency?
Srikanth Appana
Today, enterprises are leveraging next-generation technologies such as GenAI, 5G, blockchain and edge computing. These are revolutionising industries through process automation, efficiency enhancement, and the facilitation of novel business models. Such advances enhance decision-making, security, connectivity, and real-time data processing, resulting in new opportunities and customer-focused services critical for staying competitive in the digital age.
Blockchain is improving transaction security and transparency, while GenAI is opening up new creative possibilities in content creation. 5G deployment is enabling quicker and more dependable connectivity, which is essential for sectors such as manufacturing and healthcare where real-time data is vital. Edge computing is also lowering latency, decentralising data processing, and enhancing the performance of IoT-enabled devices. These developments are crucial for businesses to be competitive in the rapidly changing digital market since they are not only improving current systems but also opening the door for whole new business prospects and customer-focused services.
Sarbani Bhatia
Most enterprises are already using AI to enhance customer experience, improve decision-making and increase operational excellence. In the media and entertainment industry, AI is being used to create personalised content, acquire and retain customers by enhancing the customer experience, and improve operational excellence. AI is also used for effective marketing and targeted advertising.
IoT is being used by enterprises for process automation by integrating it into routine processes. The proliferation of data and increasing connectedness are encouraging organisations to leverage big data to meet their business goals by making better decisions, improving their operations and enhancing their competitive edge. Robotics is being used to perform complex tasks accurately and autonomously with minimal manual intervention. Robotic process automation systems are used for routine tasks like extracting and pushing data into electronic forms, employee onboarding/offboarding, data verification and data compilation from multiple sources.
Rajneesh Garg
AI is helping logistics companies optimise routes, resulting in fuel cost savings of up to 25 per cent for major players. AI-powered demand prediction tools have also helped to ensure on-time deliveries. IoT is revolutionising cargo tracking, offering real-time visibility into the location and condition of goods. With the help of sensors and GPS devices, IoT has increased on-time deliveries by 30 per cent by providing accurate tracking information and helping logistics companies monitor shipments for any potential issues and theft.
Blockchain ensures secure and tamper-proof transaction records, which is essential in logistics for enhancing transparency and trust across the supply chain. By providing immutable documentation of shipments, blockchain helps reduce fraud, streamline processes like customs clearance, and eliminate intermediaries, ultimately speeding up operations and reducing costs.
Automation in warehousing and logistics operations has drastically improved efficiency. Automated sorting and picking systems reduce human errors and increase speed, leading to faster order fulfilment and reduced labour costs. Furthermore, automation in last-mile delivery with self-driving vehicles or drones ensures precise and efficient deliveries, cutting both time and costs.
The use of robotics in warehouses and for last-mile deliveries has made operations more precise and efficient. Automated robots handle repetitive tasks such as picking, packing and sorting, and not only reduce labour costs but also increase accuracy.
Harsh Jha
Enterprises are rapidly adopting technologies to enhance efficiency, reduce errors and improve customer experiences. However, the adoption process should follow a strategic order to maximise value. Enterprises that plan and implement these technologies deliberately are more likely to achieve transformative results. At Nuvama, we follow a two-pronged strategy, which includes leveraging industry-grade or vendor solutions for use cases that do not require proprietary data. We adopt reliable, pre-built solutions and modernise data and infrastructure ecosystems to align our systems with modern standards to enable proprietary and transformational use cases.
Data, particularly big data, serves as the critical fuel driving transformative impacts across our business. Key technologies like AI and ML are delivering significant value in areas such as algorithmic trading, fraud detection, cybersecurity and customer personalisation, and churn prediction. Additionally, big data is instrumental in identifying market trends, training advanced trading algorithms, and analysing customer behaviour across Nuvama’s diverse businesses.
Apart from the above, we are also big on automation and process engineering to reduce human effort, errors and cost. We have saved nearly 50,000 man-hours in the last financial year due to our automation efforts in operations, and we intend to improve this further. The automation will further improve process adherence and reduce audit concerns due to the removal of the human touch in our processes.
Dr Sushil K. Meher
AIIMS primarily utilises AI to increase speed and accuracy in the healthcare realm. A key current AI application is diagnosing patients through the analyses of medical imaging data. Specific AI tools in use include Neonatal–AI for predicting infection in newborns in the neonatal ward, AIIMS-UMID for matching the DNA of unknown deceased individuals, iOncology.ai for early detecting and predicting breast and ovarian cancer, and PAT-Forecast for forecasting patient types/diseases arriving at AIIMS OPD/IPD.
Connected devices are used to remotely monitor patients and provide communication channels for doctors, enabling remote delivery of care. Instruments such as OPD (weight, height, blood pressure monitors), ventilators, bedside systems and lab equipment are now connected with the internet of medical things (IoMT) devices.
Medical equipment and devices such as laboratory analysers, ICU monitors, NICU monitors and ventilators, which use serial communication or Ethernet, are integrated with the hospital information system over the LAN network. Power BI, SPSS and MSTAT are being used for health research analysis.
AR is used by our surgeons to provide digital information. It also facilitates the non-invasive assessment of wound severity, healing status, and treatment options, and is used for patient and student education.
Further, Genomics, utilising AI (GENO-AI), supports the shift to precession healthcare, emphasising preventive, predictive and personalised medicine. Wearable devices are being used for remote health monitoring, including mobile apps.
AIIMS is also using 3D printing for bioprinted organ transplants, such as heart and liver. Furthermore, virtual assistants and chatbots are used for taking OPD appointments.
Manish Misra
India Inc. is gearing up for Industry 5.0. Conceptualised as “Society 5.0” by the Japanese government, it envisions a technology-driven human-centred “Super Smart Society”, addressing social challenges by integrating 5G/6G, IoT, AI, ML, robotics and big data into every aspect of life and industry. Robotics, including collaborative robots (cobots), are augmenting human capabilities, enhancing safety and ensuring operational consistency. Connected workspaces enable the seamless integration of machines, sensors and human operators, encouraging real-time communication and decision-making for improved productivity and efficiency. At the Panasonic Group, our business strategy is aligned with this transformative vision.
Pramod Mundra
In 2024, enterprises in India increasingly leveraged next-generation technologies such as AI, IoT, big data, automation and robotics to enhance efficiency and innovation. Further, AI is a key focus, with 68 per cent of IT leaders planning to increase investments, driven by benefits such as improved decision-making, enhanced customer interactions and better demand forecasting. AI is also strengthening cybersecurity and enabling tailored products and services.
IoT technologies are widely adopted for real-time monitoring and predictive maintenance, optimising operations and resource management. Big data and automation streamline workflows and provide actionable insights, while robotics drives precision and productivity in manufacturing and logistics.
Despite challenges in selecting the right technologies and ensuring data availability for AI models, enterprises remain committed to digital transformation, with cloud adoption playing a critical role in scalability and cost efficiency. These technologies collectively reshape industries and set new benchmarks for operational excellence.
Avinash Naik
AI is the next frontier in a long line of disruptive technologies, offering enterprises immense potential to create value and solve complex challenges. Businesses are operationalising AI by connecting AI models with observable actions and leveraging data, which is subsequently fed back into the system to complete the feedback loop. This process involves automating these steps, and enabling rapid, self-learning iterations that propel continuous improvement and innovation. IoT devices and big data analytics are being used to monitor equipment health, predict maintenance needs, and prevent downtime. This capability is crucial in sectors such as manufacturing, logistics and agriculture, where operational interruptions can lead to substantial financial losses.
Further, AI-based solutions, including AI robotics, are being implemented to address challenges such as the ageing industrial workforce, low data literacy, and hazardous working environments.
What are the key challenges in implementing/adopting new technologies?
Srikanth Appana
One of the biggest hurdles is cost. Setting up infrastructure, upgrading systems as well as training employees can be expensive. Another prominent problem is resistance to change. People are naturally wary of new technology, worried it will make their businesses complex or even replace them altogether. This fear can slow things down and create frustration within teams.
Compatibility with existing systems or upgrading the tools creates another big challenge. Countless businesses still rely on older, legacy systems, and getting new technology to work seamlessly with them can be a real headache. On top of that, there is often a lack of skilled professionals to implement and maintain the technology. Without the right expertise, the full potential of the technology cannot be realised. Furthermore, increased digitalisation brings with it the challenge of protecting sensitive data from breaches and cyberattacks. Likewise, evolving regulations can create compliance challenges, particularly in highly regulated sectors.
Addressing these challenges requires a holistic approach, which involves strategic planning, upskilling the workforce, and fostering a culture of innovation and adaptability.
Sarbani Bhatia
Given the variety of services available today, the biggest challenge is selecting the service most relevant to an organisation’s business goals and the existing tech landscape. Talent acquisition, development and retention is another challenge. Further, cybersecurity threats have always posed a risk and are now evolving rapidly with the advent of AI.
Rajneesh Garg
India’s logistics infrastructure still faces significant gaps, particularly in rural areas. Poor road networks, inadequate warehousing facilities, and limited access to reliable transportation systems affect the smooth operation of technologies like IoT-based cargo tracking and autonomous vehicles. There is also a severe shortage of skilled professionals who can handle advanced technologies in logistics.
Logistics companies often operate with legacy systems that are not compatible with newer technologies. Further, the upfront cost of implementing cutting-edge technologies can be a major barrier, especially for small- and medium-sized logistics companies. These investments are often seen as financially burdensome, especially when the ROI is not immediately clear.
Lastly, the regulatory environment in India can be complex and evolving, especially when dealing with technologies like blockchain and drones. Logistics companies need to navigate through various laws and regulations, which can slow down the adoption of new technologies.
Harsh Jha
In every enterprise, particularly in financial services, implementing and adopting new technologies presents several key challenges such as regulatory compliance, skills gap, high cost of implementation, resistance to change and data migration.
Dr Sushil K. Meher
Ensuring data quality, trust and security are significant challenges when implementing the latest technologies. Additional challenges include resistance to change, budget justification, difficulty in replacing legacy technologies and skills gap.
Manish Misra
Challenges in the adoption of new-age technologies are diverse, ranging from investment requirements, security and skills gap to regulatory compliance. But, in my view, one of the major challenges that enterprises are facing is legacy system compatibility, that is, older systems struggling to communicate effectively with new technologies due to updated communication protocols and data formats. Additionally, there are cybersecurity risks accompanying this integration, as legacy systems may lack updated security protocols, exposing the company to vulnerabilities. Also, the financial aspect cannot be overlooked; integrating these systems can be both costly and resource-intensive, necessitating substantial investments in hardware, software and skilled personnel. Furthermore, change management poses a challenge as employees may find it difficult to adapt to the substantial changes in processes and workflows introduced by new technologies. Last but not least, finding the right talent with the necessary skillsets is also important.
Pramod Mundra
Implementing and adopting new technologies present several challenges for enterprises, despite the benefits. One of the main hurdles is resistance to change as employees may be hesitant to adopt unfamiliar systems or fear that new technologies could lead to job redundancy. Additionally, there is a skill gap created by the rapid pace of technological advancements. Integration complexities also pose a challenge, as incorporating new technologies into existing legacy systems can be resource-intensive and time-consuming. Finally, the high initial investment required for the implementation of these technologies can be a barrier, especially for smaller businesses. While the long-term benefits are clear, the upfront costs can deter many enterprises from taking the leap.
Avinash Naik
Key challenges include keeping skills up to date, resistance to change, measuring return on investment, uncertainty about the future of technology, blending within the ecosystem (compatibility issues, integration complexities and the need for interoperability), technology limitations, data security and privacy concerns.
What will be the top technology/ICT trends that will shape the future of enterprises in India?
Srikanth Appana
Despite challenging market conditions, ongoing investments in frontier technologies are expected to drive significant future growth in digital transformations. Among all, GenAI has emerged as a key trend, sparking innovation across areas like robotics and immersive reality. Likewise, the roll-out of 5G networks will unlock new possibilities for IoT, AR, VR and smart cities.
While still in its infancy, quantum computing has the ability to solve complex problems faster, mainly in sectors like healthcare and logistics. Likewise, AI-driven security systems and zero-trust architecture will be crucial in mitigating evolving cyber threats. Blockchain-based systems will gain traction, enhancing transparency and efficiency in finance, governance and supply chains. These trends will further redefine how companies operate to ensure they remain resilient and future-ready in a progressively digital world.
Sarbani Bhatia
In 2025, cutting-edge technology will be seamlessly woven into our lives. AI will remain the dominant and most ubiquitous force in the tech landscape. GenAI like ChatGPT and DeepSeek will be the catchwords and will help in content creation, design and interactive experiences. Large language models will continue to advance but small language models will also evolve. Industry-specific agentic AI will prove to be a game changer. Spatial computing will gain ground and the metaverse will continue to evolve. Transformative technologies like IoT and AR/VR will receive a boost with the expansion of 5G networks. Edge computing will be more widespread for applications requiring real-time processing and instant decision-making with no delays. Extended reality, which includes VR, AR and mixed reality, will see widespread adoption.
The commitment to adopt sustainable and eco-friendly technologies will be stronger. Technologies that ensure lower energy consumption and lower carbon emissions will be preferred.
Rajneesh Garg
By 2030, the logistics industry in India is expected to undergo a transformative shift with the widespread adoption of advanced technologies. Autonomous vehicles and drones are projected to handle up to 25 per cent of last-mile deliveries in urban areas. AI advancements will play a key role in improving efficiency across the supply chain, with a projected $2 billion in annual savings by minimising inefficiencies, optimising routes and enhancing demand forecasting. With the proliferation of IoT sensors, businesses will be able to monitor conditions such as temperature and humidity, ensuring the integrity of sensitive goods. By eliminating the need for paperwork, blockchain could reduce transaction disputes by up to 60 per cent, leading to faster and more efficient cross-border trade. 5G with zero-latency connectivity will enable real-time visibility, allowing companies to monitor shipments in real time, in turn, enhancing coordination and responsiveness in the supply chain across India’s $215 billion logistics sector. Green logistics practices such as electric vehicles and carbon-neutral initiatives will gain prominence. Elastic logistics with automated warehouse management will streamline overall supply chain processes, while optimising space management and ensuring efficient route planning. Moreover, effective modelling achieved through digital twins will help visualise the end-to-end supply chain cycle.
Harsh Jha
The technologies that will shape the future of enterprises in India include 5G connectivity, AI-first (rise of AGI/superintelligence), cybersecurity enhancements, hyperpersonalisation (companies will move from broad segmentation to hyperpersonalisation, improving customer experiences and offerings), sustainability tech, open banking and account aggregator and regulatory technology (increasing regulatory focus will drive the adoption of SaaS solutions for managing regulatory changes, with the Digital Personal Data Protection Act, 2023 further increasing its importance).
Dr Sushil K. Meher
Several technological and ICT trends are poised to shape the future of enterprises in India, including AI applications, cybersecurity and data breach prevention, IoMT, big data and analytics to support disease prevention, predictive analytics, health trackers, wearables, and sensors.
Additional trends include the integration of healthcare systems with big data and data silos, telehealth, VR/AR/mixed reality in healthcare, interoperability and data sharing among healthcare entities, precision medicine, mRNA technology, emergency simulations, human-machine interfaces, portable diagnostics devices, direct-to-consumer genetic testing, digital therapeutics, and consumer medical robotics.
Manish Misra
In 2025, enterprises in India will continue to embrace digital strategy in some form or another. AI and ML will drive more use cases in industrial automation, personalised experiences and operational efficiency, with GenAI taking centre stage. Edge computing will gain importance due to IoT growth and data sovereignty needs, enabling localised data processing and compliance. Sustainability will be a priority, particularly in data centres.
The roll-out of 5G networks will continue to improve connectivity, support IoT proliferation and enhance real-time analytics. Meanwhile, quantum computing, although still emerging, promises breakthroughs in complex problem-solving across industries. Matter technology, a universal standard for smart home devices, is also expected to see wider adoption in India, driving seamless interoperability across ecosystems and fostering a unified, connected experience for consumers.
In this evolving landscape, open innovation will play a pivotal role as corporates increasingly collaborate with start-ups, academic institutions and industry peers to drive breakthroughs.
Pramod Mundra
The future of enterprises in India will be shaped by several key technological and ICT trends. GenAI will drive faster content creation, product design and decision-making across industries, while AI-powered personalisation will enable businesses to deliver tailored experiences to customers at scale, boosting engagement and loyalty. The customer experience revolution will drive the seamless integration of communication channels, enabling real-time, frictionless interactions across digital and physical touchpoints. AI, ML and IoT will help businesses predict disruptions and optimise operations, improving resilience and agility. The expansion of 5G technology will unlock new possibilities in IoT, automation and real-time data processing.
Sustainability technologies will become central to business strategies, with a focus on green solutions and energy efficiency. Cybersecurity will be a priority as businesses accelerate digital transformation, while the integration of IoT and ML will revolutionise sectors like manufacturing and logistics, enabling smarter, more efficient operations.
Avinash Naik
AI, ML and IoT are revolutionising Indian industries, with applications ranging from healthcare to BFSI. Further, GenAI is set to emerge as one of the most disruptive trends of this decade, promising to increase productivity, efficiency and innovation. Democratising access to GenAI across the organisation has the potential to automate a broad range of tasks, boosting productivity and reducing costs.
Other technologies include cybersecurity solutions and cloud computing. The future of enterprise IT is cloud computing, which is an elementary enabler for digital transformation. Multi-cloud strategies allow elasticity in distributing workloads and data on multiple different clouds, mitigating risks and reducing recovery time.
These trends will drive efficiencies, enhance competitiveness, and support the ongoing digital transformation of enterprises in India.
