Businesses today face an overwhelming “data tsunami” — a surge of data that, while valuable, often hampers application performance and strains architectural scalability. The more data an organization manages, the more challenging these issues become. With AI workloads adding to data management complexities, enterprises are looking for ways to achieve scalability, maintain performance, and meet evolving data demands.

CIO Dimension spoke with Bhanu Jamwal, Head of Presales & Solution Engineering, APAC, TiDB, to explore how a modern and innovative approach to databases is helping businesses overcome these challenges and innovate. TiDB – an open source distributed SQL database developed by PingCAP – tries to provide some answers. 

How is PingCAP’s TiDB positioning itself in the competitive database market, particularly considering the rapid growth of digital native businesses in India?

We’ve witnessed a remarkable surge in digital native businesses across India, spanning e-commerce, logistics, fintech, gaming, SaaS, and more recently, the emerging healthcare and Gen AI sectors. This explosive growth, however, comes at a cost – a massive influx of data.

Their increasing reliance on data creates a greater demand for scalable and reliable data solutions. Traditional databases often struggle to scale to meet this kind of growth and volume. Imagine a scenario where an e-commerce platform, during a peak sales event experiencing a huge surge in transactions. Traditional databases, such as MySQL or PostgreSQL, may encounter performance bottlenecks under such pressure.

Businesses are therefore compelled to either implement workarounds or adopt modern database solutions that can address these challenges. And these challenges now go beyond just scale. High availability is paramount; downtime is simply not an option today. Real-time analytics is another critical factor businesses. For instance, a bank needs to be able to detect fraudulent transactions in real-time to safeguard customer funds. So, it needs, scalability, availability and analytics- all at the same time. AI introduces further complexities and challenges to this mix. 

Recognizing these evolving needs, TiDB was born in 2015. We strive to address these challenges with our distributed architecture, which allows businesses to scale as their data grows. Distributed SQL databases have in fact emerged as an effective answer to modern data challenges. This approach has been gaining traction, as evidenced by Amazon’s recent entry into the distributed SQL market, acknowledging the growing demand for such solutions. 

How do you view the SQL vs. NoSQL debate, and how does TiDB position itself in this context?

The SQL vs. NoSQL debate has been ongoing for some time with both playing pivotal roles in enterprise environments. While NoSQL databases offer flexibility for specific use cases, they often require significant development effort to maintain data structures. SQL, on the other hand, remains the de facto standard for data access, with a vast pool of skilled developers. 

It’s interesting how many NoSQL databases, which originally distanced themselves from SQL, are now adding SQL layers to their platforms. It shows that SQL remains a simple and effective way to access data. 

TiDB’s aim is to bring best of both by offering a distributed SQL solution. Our Hybrid Transactional/Analytical Processing (HTAP) capabilities are designed to bridge the gap between SQL and NoSQL databases and handle both transactional and analytical workloads. 

How is AI and ML, particularly the rise of LLMs, changing the game for distributed databases, and how is TiDB capitalizing on these trends?

The rise of vector database is a trend worth mentioning in this context. Vector is becoming a powerful engine for today’s AI workloads. Though it has been around for a while, the adoption has rapidly scaled in recent years. These databases are becoming increasingly crucial for storing and processing the data generated by AI/ML models. 

But, this also makes the environment quite complex for enterprises. They often manage multiple databases for different workloads—a transactional database, a separate one for analytics, and yet another for vector storage. Managing databases is a complex process. 

At TiDB, we see an opportunity to simplify this process by offering a unified solution. Our vision is to provide a single database that handles all these workloads, eliminating the need for multiple systems. TiDB supports vector as a form of storage with TiDB serverless, enabling organizations to store and process both traditional data and vector data within a unified platform. We believe the integration of vector search capabilities into a traditional database will be a game-changer for businesses looking to leverage the power of AI and ML. 

Can you share some successful case studies of TiDB implementations in India and globally?

Absolutely! We have a number of success stories across various industries. In India, a leading e-commerce giant was struggling to manage the increasing complexity of their database infrastructure as they scaled, relying on a multitude of single-node databases. By migrating to TiDB, they consolidated their infrastructure, significantly improved performance, and gained greater operational efficiency. 

Delhivery, a leading logistics company that delivers a million packages a day, migrated to TiDB to power their real-time analytics and data marts use case, enabling them to handle thousands of requests per second with less than 100ms latency. 

Pinterest is another flagship customer that leveraged TiDB to modernize their data architecture. Globally, we’ve seen tremendous success in the fintech sector. A major Japanese fintech company, for example, experienced a 10x increase in throughput and a 30% reduction in latency after adopting TiDB for their high-volume wallet application. 

We’re also seeing significant growth in the SaaS market, where TiDB helps companies manage the complexities of multi-tenant environments and scale their databases to support growing user bases.

What are the key market opportunities for TiDB in India?

India is a dynamic and rapidly growing market with a thriving startup ecosystem. We see immense potential here. The sheer volume of data generated by India’s digital-native businesses and startups, coupled with their ambitious growth plans, creates a strong demand for distributed database solutions. India’s thriving Web3 community, its vast base of skilled developers are all opportunities that TiDB will be actively tapping into. 

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By Saurabh Rai

Reflecting on 2024, the geospatial sector has witnessed transformative advancements, driven by innovations that integrate GIS, AI, and IoT into critical domains. The development of the Ayodhya Sustainability Index as a milestone in leveraging geospatial intelligence for sustainable urban planning, environmental conservation, and heritage preservation. This initiative has set a global benchmark, showcasing how technology can balance growth with cultural preservation. 

The year also saw India embracing national initiatives like Naksha, Bhuvan, and SVAMITVA, which propelled sustainable development, urban planning, and disaster management using geospatial solutions. These programs reflect the sector’s growing influence in addressing complex challenges.

Looking ahead to 2025, the integration of geospatial technologies with AI, IoT, and big data is poised to transform industries such as agriculture, logistics, and renewable energy. 

The focus will be on leveraging these technologies to tackle global issues like climate change, rapid urbanization, and resource management. With data-driven tools at the core, the industry aims to drive impactful and sustainable change, fostering innovation and supporting national priorities. 

With precise data-driven insights, industries can make informed decisions, optimise resource allocation and implement sustainable practices.

In agriculture, for instance, geospatial tools combined with AI can enhance crop monitoring, predict yield and manage water resources effectively. In logistics, they streamline operations by providing real-time data on traffic, weather and optimal routes. Renewable energy sectors can benefit by identifying ideal locations for solar and wind energy projects, thus accelerating India’s transition to cleaner energy sources.

The integration of geospatial technologies aligns with India’s national priorities, such as building resilient infrastructure and achieving sustainable development goals. 

As geospatial intelligence continues to evolve, it promises to play a critical role in shaping a more sustainable, resilient, and technologically empowered future.

Saurabh Rai is the CEO of Arahas, a provider of Geospatial, AI, and Sustainability Technology services. The opinions expressed by the author do not necessarily reflect the views of CIO Dimension.

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By Ankit Kumar

2024 has been transformative for India’s drone industry, showcasing Bharat’s immense potential as a land of opportunities. Drones are rapidly transitioning from niche applications to becoming an integral part of mainstream operations in India. With remarkable advancements in policy, innovation, and sector-wide adoption, the industry has grown exponentially, impacting logistics, agriculture, healthcare, and infrastructure. 

There are many examples of how India is leading the trend. In a groundbreaking development, Gurugram became the first metropolitan in the world to adopt drone-based delivery in daily life, enabling residents to receive anything and everything within minutes. As one of the fastest hyperlocal delivery services, Skye Air completed over 1.5 lakh deliveries in the city during December alone. 

Milestones like drone-based mail delivery in Arunachal Pradesh, Himachal Pradesh, and AIIMS medical supply chains further highlight the sector’s ability to enhance accessibility and efficiency.

As we move into 2025, the momentum will only grow stronger, with drones becoming increasingly integrated into mainstream operations. The focus on scaling networks, boosting payload capacities, and driving cost efficiencies will unlock new opportunities in quick-commerce, urban air mobility, and sustainability. 

The government’s proactive measures, such as the PM GatiShakti National Master Plan, have laid a robust foundation for the drone ecosystem. This ambitious initiative integrates various economic zones and infrastructure projects, enabling seamless logistics and enhancing operational efficiencies.

Initiatives like this, coupled with continued investments in R&D and skill development will further solidify India’s ambition to become a global drone hub by 2030. 

The future holds incredible promise. Drones are proving to be indispensable in addressing real-world challenges. They are reducing urban congestion by offering alternative delivery solutions, minimizing carbon footprints through energy-efficient logistics, and facilitating disaster management and agricultural monitoring. These advancements will propel “Bharat toward a technology-driven, sustainable tomorrow.

Ankit Kumar is the CEO of Sky Air. The opinions expressed by the author do not necessarily reflect the views of CIO Dimension

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Moving to the cloud can greatly improve your organization’s flexibility, scalability, and cost-efficiency. However, achieving a successful migration demands meticulous planning and execution. Here is an in-depth step-by-step guide to assist you in navigating the cloud migration process efficiently.

Step 1: Evaluation and Preparation

Start by evaluating your existing IT infrastructure, applications, and data. This stage is essential for gaining insight into your current assets and their interdependencies. Identify the motivations driving your migration—whether it’s to reduce costs, enhance performance, or access advanced features. Set specific objectives and deadlines to ensure the project stays on course.

Identify Existing Resources: Assess your current systems and applications.

Establish Migration Goals: Identify the outcomes you intend to accomplish through the migration process.

Select a Cloud Provider: Investigate various cloud platforms, such as AWS, Azure, and Google Cloud, to identify the one that best suits your requirements.

Step 2: Migrating the Data

After establishing a clear plan, concentrate on migrating your data by transferring it from your current environment to the cloud platform.

Choose a Migration Approach:

Real-Time Data Transfer with Online Migration: Seamless Continuous Replication

Offline Migration: Transferring large datasets using physical storage devices in bulk.

Keep in mind factors such as data volume, transfer costs, and bandwidth limitations when selecting your method.

Step 3: Migrating the Application

Subsequently, transition your applications in line with the selected cloud strategy. You can choose from several approaches:

Lift and Shift: Transfer applications without making changes.

Replatforming: Implement small modifications to enhance cloud optimization.

Refactoring: Transform applications to take full advantage of cloud features.

Update configurations and dependencies to ensure compatibility with the target cloud environment.

Step 4: Establishing Network and Connectivity

Set up secure network configurations in the cloud environment to mirror your current setup. This entails:

Establish Secure Connections: Utilize VPNs or Direct Connect to ensure secure communication between your on-premises infrastructure and the cloud.

DNS Management: Modify DNS records and oversee IP assignments to ensure smooth connectivity.

Step 5: Ensuring Security and Compliance

Ensuring security during migration is crucial. Assess and apply security protocols specifically designed for the cloud environment:

Identity and Access Management (IAM): Establish rules to manage user access.

Data Encryption: To maintain confidentiality, ensure that data is encrypted both during transit and while at rest.

Perform a compliance evaluation to ensure adherence to applicable regulations throughout the process.

Step 6: Conduct Testing and Validation

Ensure you comprehensively test all migrated components before launching.

Application Testing: Ensure that applications operate correctly in the new environment.

Checking for performance issues or bottlenecks: Monitor and evaluate system efficiency.

Perform security testing to detect any vulnerabilities that may have emerged during the migration process.

Step 7: Launching Live

After completing testing, you can move forward with going live.

Last Data Synchronization: Conduct a final data sync before transitioning.

Track Performance: Once the application is live, diligently observe its performance and gather user feedback.

To conclude

Transitioning to the cloud is a transformative process that demands careful planning and execution. To ensure a seamless migration, follow these steps: assessment, data migration, application transition, network configuration, security measures implementation, testing phase, and launch. Embrace this opportunity to boost your business operations by achieving greater flexibility and efficiency in today’s digital environment.

The post How to Migrate to the Cloud: A Step-by-Step Guide appeared first on CIO Dimension.

Examine the impact of emerging technologies on transforming business operations.

Emerging technologies are transforming business operations across numerous sectors by boosting efficiency, improving customer experiences, and fostering innovative solutions. Looking ahead to 2025, several pivotal technologies are expected to have a substantial impact.

Cloud-Based Computing

Cloud computing remains transformative for businesses, offering scalable resources that boost flexibility and lower expenses. By utilizing cloud services, companies can tap into powerful computing capabilities without requiring significant on-premises infrastructure. This transition enables organizations to concentrate on their core strengths while enhancing operational efficiency. The global public cloud market is expected to grow to around $679 billion by 2024, highlighting a strong trend toward cloud adoption likely extending into 2025.

IoT, or the Internet of Things

The Internet of Things (IoT) is transforming business operations by linking devices and facilitating real-time data sharing. This technology offers insightful analysis of operational procedures, supporting predictive maintenance and optimizing supply chain management. A PwC survey reveals that 35% of businesses have acquired new capabilities from IoT integration, while another 34% experienced increased operational efficiency.

As IoT technology continues to develop, it will play an increasingly vital role in shaping business strategy.

AI (Artificial Intelligence)

AI is leading the way in revolutionizing business operations by automating repetitive tasks and delivering insights based on data analysis. The range of applications includes AI-driven chatbots that improve customer support, as well as machine learning algorithms that enhance inventory management efficiency. Additionally, AI systems are advancing demand forecasting and tailoring marketing strategies to personalize them, helping businesses more effectively satisfy customer requirements.

Integrating AI into decision-making processes is anticipated to speed up innovation and enhance competitiveness.

VR/AR (Virtual and Augmented Reality)

Virtual and augmented reality technologies are transforming approaches to training and customer engagement. Virtual reality (VR) allows for the simulation of real-world scenarios in employee training, minimizing downtime typically linked to conventional methods. At the same time, augmented reality (AR) elevates customer experiences by overlaying digital information on physical products, enabling interactive demonstrations.

These immersive technologies enhance operational efficiency while also providing distinctive marketing opportunities.

Fifth-Generation Technology

The introduction of 5G technology promises to enhance connectivity and enable faster data transfer between devices. This progress will support the extensive implementation of IoT devices and facilitate real-time analytics, greatly boosting operational capabilities.

Thanks to its capacity to bolster remote work and improve communication, 5G will enable businesses to function with greater flexibility and efficiency. In summary, as emerging technologies like cloud computing, IoT, AI, VR/AR, and 5G advance further, they are set to significantly transform business operations. Companies that adopt these innovations will not only boost their operational effectiveness but also establish themselves as frontrunners in a highly competitive market. Embracing these technological advancements will be essential for ensuring ongoing growth and success in the digital era.

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Business leaders have high hopes that artificial intelligence (AI) investments can drive market-changing innovations to transform everything from customer satisfaction to product innovation. However, a poor data foundation is holding 78% of organisations back from achieving these goals.

A new report from MIT Technology Review Insights, in partnership with Snowflake, the AI Data Cloud company, titled ‘Data Strategies for AI Leaders’ found that while businesses have big ambitions for generative AI — with 72% looking to increase efficiency or productivity, 55% betting on increased market competitiveness, and 47% aiming to see more innovation in products and services — the foundational data strategy needs to be improved to maximise AI’s potential.

Businesses need strong data foundations, powered by modern cloud data platforms, to enable them to harness their own stores of data, and also vast volumes of previously inaccessible data, largely from unstructured data such as videos and images. According to the report, just 22% of business leaders say they are ‘very ready’ to engage with AI, while 53% are ‘somewhat ready’. Higher readiness correlates with fewer challenges related to accessing scalable computing power, data silos and integration issues, and data governance. Despite many business leaders’ confidence in the results AI can deliver, they are realising that data is key to how quickly and effectively they can unlock AI’s value.

Another challenge facing organisations is deploying AI at scale. 95% of those surveyed reported facing hurdles when implementing AI. 59% of respondents cited data governance, security, or privacy as their most prevalent challenge, followed by data quality and timeliness (53%), and costs of resources or investment (48%). Spending and resourcing decisions, including those needed to improve data foundations, are a challenge when it comes to any technology investment. But the cost of generative AI itself is decreasing, with enterprises having begun to build smaller large language models (LLMs) that remain equally capable, and less expensive.

“Many of today’s organisations have big ambitions for generative AI: they are looking to reshape how they operate and what they sell,” says Baris Gultekin, Head of AI, Snowflake. “Our joint research shows that as organisations feel increasing urgency to deploy AI applications, they are realising that their data can help them deliver insights from previously untapped sources of information. A strong data foundation is at the core of generative AI capabilities, and business leaders need to move quickly to deal with concerns such as data security and cost, and establish the foundation they need to deliver on the promise of AI.”

Generative AI’s benefits are becoming visible to those companies farther along their data journey, because they invested heavily in data foundations and are now being rewarded by bringing AI onto that data. For any business looking to capitalise on AI, they must first establish a robust data foundation, which covers a broad collection of processes and assets involved in the gathering, aggregation, storage, and accessibility of organisational data. Investment in data foundations across an organisation will enable much more powerful generative AI users, while also reducing governance and security concerns.

The post Four out of five businesses underprepared for Gen AI due to poor data foundations: Survey appeared first on CIO Dimension.

For CIOs and CTOs, AI can automate routine tasks like network monitoring, system maintenance, and cybersecurity, reducing the need for hands-on management. This gives them more time to focus on innovation and developing long-term technology strategies. AI also helps them make data-driven decisions by providing insights from vast amounts of data, which allows companies to anticipate customer needs, improve operations, and create new products or services.

However, AI also presents new challenges. CIOs and CTOs will need to navigate ethical concerns around AI, such as data privacy and the impact of automation on jobs. They’ll also need to continuously update their skills to keep up with rapidly advancing AI technologies.

Moreover, AI is driving the need for strong collaboration between CIOs/CTOs and other departments like human resources, marketing, and finance. For instance, AI systems that monitor employee performance or improve customer experience require cross-functional alignment. This means CIOs and CTOs must become more integrated with the business side, ensuring that AI initiatives are aligned with overall company goals.

As companies continue to adopt AI-driven solutions, the demand for CIOs and CTOs who understand both technology and business strategy will grow. Embracing this shift will help them not only lead but also innovate in today’s competitive landscape. Those who stay ahead will be the driving force behind their organization’s success.

References:

• Forbes: How AI is Reshaping the Role of the CIO
• Gartner: Gartner Says Three-Fourths of CIO Job Description Will Be Rewritten by 2024

The post “How AI is Transforming CIO and CTO Roles: From IT Management to Strategic Leadership” appeared first on CIO Dimension.

India is home to the third largest startup ecosystem in the world. The number of  DPIIT– recognized startups stands at a colossal 1,17,254 as on 31st December 2023 – an impressive 40 percentage growth from the previous year! While these numbers speak of a flourishing ecosystem, there is a contrasting reality. As much as 9 out of 10 startups fail globally, according to various reports. In India, 80-90 percent of the startups do not make it past the first five years! 

Yet, India has some of the glorious success stories from the startup community. So, what really makes a startup tick? It’s a ‘billion-dollar’ question, considering that startups in India collectively raise a few billion dollars in funding every year. 

To understand the nuances of building a successful startup, CIO Dimension caught up with this young entrepreneur in Bengaluru – the startup capital of India. Yuvaraj Thanikachalam, Founder & CEO of Kreatorverse – a startup venture studio, is anything but a typical Bengaluru startup founder. His company is on a mission to guide promising startups through the often-treacherous path to success and profitability. 

Building on Web3 for the future

Yuvaraj emphasizes that startups need more than just a good product and funding to thrive in the market.

“New venture building exercise requires experimental infrastructure (lab), scientific methodology, entrepreneurial (tech & business savvy) talent, and seed capital. It is super rare to find all of them in one place. Building such an organization for a new venture founder or investor takes years of investment. It is a real big problem for Indian startup founders and investors,” says Yuvaraj. 

A good product is often just the beginning; enduring in a dynamic market is the real test for startups, he observes. 

The venture studio works with early stage startups and serial entrepreneurs to help them build products that stay relevant for a sustained period. With a strong foundation in finance and blockchain, Yuvaraj believes Web3 is the future. So far, Kreatorverse has worked with over 20 startups to build Web3 software products by applying proven methodologies and technologies. The company’s clientele include fintech startups, neobanks, digital banks, private wealth management firms, alternate investment companies, and social media startups. 

All of these startups in the financial services sector stand to benefit hugely with Web3. The primary socio-economic impact pursued by fintech is financial inclusion. Inclusive, neutral, democratic internet infrastructure is a must for global financial inclusion, which is a sustainable development goal. Decentralized finance (DeFi) and real-world assets-backed tokenized economies are the best ways to do it, Yuvaraj says. 

The right blend of technology and business 

So, is Kreatorverse providing just the “staffing” for these startups? Yuvaraj maintains that the company goes much beyond that. Building a product requires more than just the software development understanding. It’s not just about the programming tools and skills. It’s about empathy for the customer and business. Software is not a standalone entity in a tech-first venture, it’s the core of the business, he adds. 

“Just imagine, customers have no incentives for staying with a product for long. Their decisions are influenced strongly by the experience they have with a software or an app. Hence, building each customer touchpoints with experiential value is critical for startups. And that experience is the differentiation for a customer to choose a product. We help startups create this differentiation.” 

The company optimizes innovation outcomes by blending business acumen with technological expertise. They establish a solid foundation through design thinking, innovation frameworks, and diverse problem-solving approaches. This method drives innovation and enables the creation of distinctive products within their studio. Kreatorverse guides businesses from concept to proof of value within 4 to 6 months, says Yuvaraj. 

He observes that Web3 startup co-founders often navigate regulatory and compliance landscapes blindly due to their limited understanding of traditional finance and capital markets. Kreatorverse also offers an added advantage by combining expertise in both Web3 and traditional markets.

“Our goal is to minimize the risk of failure and significantly increasing the rate of business success for startups,” sums up Yuvaraj. 

The post From Idea to Impact: Kreatorverse’s Formula for Startup Success appeared first on CIO Dimension.

Mitti Labs, the agtech that helps reduce methane emissions in rice farming, has raised $3 million in seed round, according to reports. The funding is backed by Lightspeed Venture Partners, Voyager Ventures, Overview, and angel investors.

Mitti was co-founded by Devdut Dalal in 2023 along with Nate Torbick and Xavier Laguarta. Devdut is an entrepreneur who earlier co-founded Mumbai-based Fresh India Organics – a brand involved in organic produce. 

The agtech leverages AI in helping farmers curb emissions and reduce water wastage in rice farming. According to data, rice has emissions equivalent to the global aviation industry. This is mainly due to farmers flooding fields, which creates the ideal anaerobic conditions for bacteria to thrive and release methane. Further, overuse of poorly absorbed nitrogen-based fertilizers, leads to nitrous oxide emissions, according to Mitti. The startup maintains that specific seeding and water management farming practices can turn the tide on Rice GHG emissions, reducing Rice GHG emissions by over 40% without affecting yield. 

It combines AI with satellite imagery and field data to offer local accuracy at country-level scale. India has been a primary market for the startup as the country is the world’s second-largest rice producer. 

The company had recently launched five rice projects across India, in partnership with Syngenta Foundation, Ebro Foods and Dr Reddy’s Foundation, aimed at reducing methane emissions, increase water security and build farmer resilience. 

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Indian CEOs place great importance on AI governance, with a significant 71% believing that trusted AI is impossible without effective AI governance in organizations. A global study of 3,000 CEOs conducted by IBM Institute for Business Value, in cooperation with Oxford Economics, reveals a number of interesting aspects about workforce, culture and governance challenges faced by Indian CEOs while navigating AI journeys. 

According to the study, 75% Indian CEO respondents say governance for generative AI must be established as solutions are designed, rather than after they are deployed. At the same time, the study also noted a contrast in actual adoption of AI governance policies with only 42% Indian CEO respondents saying they have good generative AI governance in place today.

The survey also highlights other key challenges around workforce. 75% of Indian CEO respondents say that inspiring their team with a common vision produces better outcomes than providing precise standards and targets. Yet 31% acknowledge that their employees don’t fully understand how strategic decisions impact them.

Sandip Patel, Managing Director, IBM India & South Asia said, “As Indian CEOs navigate AI-led transformations within their organizations, they recognize the need for AI guardrails so that they derive real business value responsibly for growth and competitive success. However, our study reveals a gap between their intention and actual implementation. This scenario highlights the complexity of implementing AI governance, hence making a strong case for partnering with trusted experts to develop and execute effective practices and policies.”

Other key study findings include:

People and skills are at the heart of successful generative AI adoption

• 71% of Indian CEOs surveyed say that succeeding with AI will depend more on people’s adoption than the technology itself
• 49% of Indian CEO respondents says they are hiring for Gen AI roles that didn’t exist last year
• CEOs surveyed from India say 34% of their workforce will require retraining and reskilling over the next three years – up from just 6% globally in 2021

Indian CEOs recognize it takes a cultural shift to successfully scale AI, but face organizational collaboration and adoption challenges.

• 70% of Indian CEOs surveyed say their organization’s success is directly tied to the quality of collaboration between finance and technology, yet nearly half (48%) say competition among their C-Suite executives sometimes impedes collaboration.
• Nearly half (48%) of those surveyed from India acknowledge that cultural change is more important to becoming a data-driven organization than overcoming technical challenges.
• 58% of Indian CEO respondents say they are pushing their organization to adopt generative AI more quickly than some people are comfortable with

Customer experience and product & service innovation are top priorities, regulatory constraints might be hindering long-term progress

• Indian CEOs surveyed ranked customer experience and product & service innovation as their highest priorities for the next three years
• 59% of respondents say they are willing to sacrifice operational efficiency for greater innovation.
• However, nearly half (48%) of Indian CEOs surveyed point to regulatory constraints as their top barrier to innovation.
• Today, only 32% of the Indian CEO respondents are primarily funding their generative AI investments with net new IT spend, with the remaining 68% reducing other technology spend.

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