GTT Data Solutions is a technology services and consulting company focused on shaping Dual Intelligence: the integration of Human Intelligence and Artificial Intelligence to drive smarter, data-led decision-making. Headquartered in Pune, the company offers end-to-end solutions across data engineering, analytics, AI, ERP and CRM implementation, DevOps, and IT service management. With a mission to help organisations unlock the true value of their data, GTT Data partners with enterprises across industries to build scalable, efficient, and future-ready digital ecosystems. Guided by innovation and human insight, GTT Data Solutions empowers clients to enhance performance, streamline operations, and navigate digital transformation.
It recently announced the appointment of His Excellency Sheikh Hamad bin Jabor Al Thani to its Board of Directors.
His appointment is a part of GTT’s journey to scale its enterprise AI and insurance data intelligence platforms globally while deepening partnerships with large enterprises, financial institutions, and government stakeholders. His experience in governance, policy, financial institutions, and national-scale data frameworks aligns closely with GTT’s vision to build scalable data intelligence platforms for sectors such as insurance, banking, healthcare, and government across global markets. As GTT expands internationally and strengthens its AI and data platforms through strategic integrations, his leadership and guidance is expected to support deeper engagement with global investors, enterprise clients, and government partnerships.
Medianews4u.com caught up with Srikumar Kumar President GTT DATA
Q: GTT Data Solutions is targetting revenue of Rs 500 crore by 2030. Will it be an even contribution of organic growth in India and acquisitions and partnerships abroad?
No, the contribution won’t be even if it’s strategically tilted. Currently, about 90% of revenue is India-derived through organic growth in high-potential sectors like BFSI, healthcare, retail, and manufacturing, driven by digital transformation demand. By 2030, the goal is to shift to 40% from domestic operations and 60% international, fueled by targetted acquisitions and partnerships in priority regions like the US, Singapore, UK and Europe.
Recent moves, such as integrating Alpharithm Singapore, exemplify this global push while maintaining India’s cost-effective talent base for delivery.
Q. What role will AI play in improving operating margins?
Income from AI projects is pivotal for margin expansion by delivering Gen AI and Predictive insights solutions such as demand forecasting, supply chain optimisation, and proactive cost management in data-intensive industries. At GTT DATA, integrations from acquisitions like CRG Solutions provide advanced tools for real-time insights, reducing inefficiencies, and enhancing enterprise profitability.
This aligns with the Dual Intelligence framework, where AI-driven predictions complement human decision-making to deliver industry-leading growth over 3-5 years, though specific margin targets aren’t publicly detailed.
Q. For 2026, what goals have been set, and what is the game plan to get there?
With recent acquisitions we are adding more Products to our portfolio of offerings and taking steps to slowly transitioning from a Services only Organisation to Products and Services Organisation.
Accordingly, we plan to invest further to strengthen our Product Engineering team who are working with breakneck speed to roll out a few products every quarter.
Q. As it scales up, is ensuring that GTT has the right talent in place to meet demand the big challenge?
Yes, securing and scaling talent is the paramount challenge amid rapid growth. GTT’s response includes aggressive hiring from Tier-2/3 hubs like Sangli to tap affordable engineering talent, reducing attrition and costs versus metros. Upskilling programmes cover AI, analytics, ERP/CRM, soft skills, leadership, and human-digital collaboration, positioning GTT as a “category-one” local employer.
This counters industry-wide 25-35% hiring surges while aligning with Dual Intelligence needs.
Q. What are the similarities and differences between India and other markets that GTT Data Solutions operates in, like Singapore, the UK, Thailand, Indonesia, Vietnam, and Australia in areas like AI readiness on the part of companies and AI startup innovation going on?
Similarities include rising government support for AI across all, with shared needs for data orchestration and ethical AI. Differences: India excels in cost-effective talent pools and high-volume AI startup innovation (e.g., via GAIN), but trails in business AI readiness; Singapore leads APAC (70.1 overall readiness, 53.6 business score), Australia/UK shine in government readiness (77.7+) and VC funding, while Thailand/Indonesia/Vietnam are emerging via policy-driven growth but lag in tech sophistication.
GTT leverages India’s strengths for global offshore delivery to these higher-readiness markets.
Q. Before implementing AI, businesses need to check if their data is clean enough and if it is structured and orchestrated at the right level. How does GTT Data Solutions enable organisations in this regard?
GTT enables this through end-to-end data engineering services, including data cleansing, MDM and creating a single source of truth via Lake house, to create clean, structured datasets primed for AI.
Governance frameworks ensure quality and compliance, preventing downstream biases. This foundational work is core to Dual Intelligence, allowing seamless AI deployment across sectors.
Q. The organisation did a host of acquisitions last year with Alpharithm Technologies, Alpharithm Singapore, and CRG Solutions. How has this helped GTT expand its AI-driven automation, data analytics, and digital transformation capabilities?
With the acquisitions we have been able to cross-sell offerings to the clients with and aim of providing end-to-end capabilities to the client.
We have also started a Consulting practice that is aimed at identifying business challenges and recommending the right solution. This helps clients achieve AI-Led business transformation.
Q. Could you talk about work being done with companies like IBM that stand out?
We are a gold Partner with IBM. We work closely with their Data, AI and Automation Product teams to help clients implement foundation data platforms and orchestrate agentic AI workflows using their Watson X Platforms. In addition, we also implement Master Data Management (MDM), RDM (Reference Data management) to help clients create a customer 360 and enable Hyper-personalisation.
In addition, most clients are implementing AI but have not started the AI Governance process that ensures that the model is explainable and eliminates bias, hate, profanity, and hallucination.
Q. Are Indian and global media and entertainment companies an important client base? Kindly elaborate
Yes, M&E is a vital vertical, bolstered by Alpharithm’specialised media software for content processing, R&D, and digital workflows. It ranks alongside BFSI and retail, serving both Indian and global firms with AI-driven transformation. Though not the largest revenue contributor, it’s strategically key for innovation and expansion.
Q. Could you talk about the R&D that will go into building scalable data intelligence platforms for sectors such as insurance, banking, healthcare, and government across global markets?
R&D investments target scalable data intelligence platforms tailored for insurance, banking, healthcare, and government, emphasizing human-AI synergy for analytics and decision-making.
Acquisitions provide the tech backbone, while GAIN fosters startup collaborations for cutting-edge innovations, ensuring global market applicability.
Q. What do companies need to do to ensure that they have high-quality, well-governed data so that AI models don’t suffer from biases and inaccuracies?
Companies must priorities data engineering for cleansing/structuring, robust Data governance and AI governance frameworks, regular audits, diverse datasets, and human oversight via models like Dual Intelligence.
This mitigates biases, ensures accuracy, and complies with ethics and is essential before AI training.
Q. Does success for companies, regardless of the sector that they operate in, lie in integrating AI-driven automation with human expertise?
Yes, success stems from Dual Intelligence, where AI handles pattern recognition and scale, while human expertise provides context, ethics, creativity, and nuanced judgment.
This sector-agnostic hybrid outperforms pure AI or manual approaches.
Q. Today, for companies to succeed, is focussing on AI and data analytics training non-negotiable for most employees, including CMOs and those in marketing functions?
Yes, it’s non-negotiable across roles, including CMOs and marketers. GTT’s programs train on AI-human collaboration, ERP/SAP proficiency, leadership in the AI era, culture shifts, and role realignments, empowering marketing teams for data-driven campaigns and tech integration.
Q. Could you talk about B2B marketing activities that will be done with stakeholders through seminars, workshops, and participating in retail events?
B2B efforts feature seminars and workshops on Dual Intelligence, AI leadership roadmaps, and process optimizations, targetting BFSI/healthcare stakeholders. Participation in industry events, including retail-focussed ones, builds awareness via GAIN ecosystem demos and thought leadership sessions.
Q. GTT Data Solutions works with governments in various markets. Is AI Governance an issue, depending on the market being targetted?
Yes, AI governance challenges vary by market: Singapore/Australia are advanced with strong frameworks (high readiness scores), UK emphasises regulation, while SE Asia (Thailand/Indonesia/Vietnam) is policy emerging. GTT navigates this through localised ethical data practices, compliance, and Dual Intelligence tailored to regional needs.
