Category technology

India, Nov 20: IEEE, the world’s largest technical professional organisation dedicated to advancing technology for humanity, released the results of “The Impact of Technology in 2026 and Beyond: an IEEE Global Study,” a survey of global technology leaders from Brazil, China, India, Japan, the U.K. and the U.S. The study covers which technologies AI will influence the most in 2026; expectations for AI market growth, benefits, uses, and skills; and future technology trends. To learn more about the study and the impact of technology in 2026 and beyond, visit https://transmitter.ieee.org/iot-2026.

Increased Use of Agentic AI by Everyone to Drive Need for More Data Analysts

Agentic AI is like a smart assistant that, when given a task, can work independently, but still needs its work double-checked. Its adoption is on the rise, and a strong majority of technologists globally (96%) agree that agentic AI innovation, exploration and adoption will continue at lightning speed in 2026, as both established enterprises and start-ups deepen investments and commitments to technology.

However, the rise of agentic AI won’t be confined to business. Survey respondents see it reaching mass or near-mass adoption by consumers in 2026 for the following uses:

(52%) Personal assistant | scheduler | family calendar manager
(45%) Data privacy manager
(41%) Health monitor
(41%) Errand and chore automator (e.g. grocery orders)
(36%) News and information curator

In addition, 91% agree the use of agentic AI to analyze greater amounts of data will grow in 2026, spurring a data analyst hiring boom to analyze the accuracy of results, transparency and vulnerabilities. According to the survey, the top skills technologists will seek in candidates they plan to hire for AI-related roles in 2026 are:

(44%) AI ethical practices skills (+9% from prior year)
(38%) Data analysis skills (+4% from prior year)
(34%) Machine learning skills (+6% from prior year)
(32%) Data modeling skills, including processing (no change from prior year)
(32%) Software development skills (-8% from prior year)

Humanoid Robots as Co-Workers: The Influence of AI on Other Tech

A majority (77%) of technologists agree the novelty of humanoid robots can inject fun into the workplace but over time will become like commonplace co-workers with circuits. Robotics is also a top area of technology over half (52%) of technologists think will be influenced by AI in 2026. Other areas influenced by AI in 2026 will include extended reality (XR), including augmented, virtual and mixed reality (36%); and autonomous vehicles (35%). Meanwhile, the top industries expected to experience the greatest transformation from AI next year will be software (52%); banking and financial services (42%); healthcare (37%) and automotive and transportation (32%).

Policy and Governance Guided by ‘Who Built the AI?’

Policy and governance regarding how and when AI should be used depends on where the AI was built. When asked which statement best describes their organizations’ stance on AI products – built by their company or built by a third party – for work at their company, a majority of technology leaders selected:

Full speed ahead: AI will be integrated throughout the organization and our use policies will align with government regulations, if any exist or are enacted. (49% if company-built AI vs. 40% third-party-built AI)
Everyone follows the rules: We will be issuing clear policies on how and when AI can be used. (26% company-built AI vs. 33% third-party built AI)

The stage technologists expect their organization to be in the adoption of generative AI in 2026 has advanced significantly:

(39%) Using Regularly, But Selectively: Generative AI will continue to be a regular part of our work in selective areas, and adds value. (+20% from prior year)
(35%) Rapidly Integrating, Expecting Bottom Line Results: AI will continue to be integrated throughout all our operations. We’ve already seen measurable bottom line results and expect these to grow.

The top uses for AI applications technology leaders expect in 2026 includes:

(47%) Real-time cybersecurity vulnerability identification and attack prevention (-1% from prior year)
(39%) Aiding and/or accelerating software development (+4% from prior year)
(35%) Increasing supply chain and warehouse automation efficiencies (+2% from prior year)
(32%) Automating customer service (+4% from prior year)
(29%) Powering educational activities such as customizing learning, intelligent tutoring systems, university chatbots (-10% from prior year)
(23%) Accelerating disease mapping and drug discovery (-3% from prior year)
(22%) Automating and/or stabilizing utility power sources (-3% from prior year)

More than half of those surveyed (51%) cited 26-50% of jobs across the global economy will be augmented by AI software in 2026, while less than one-third (30%) cited 51-75% of jobs, (16%) cited 1-25% of jobs, and only (4%) cited 76-100% of jobs.

Close to half of technologists (49%) think it will take 5-7 years to build out the global data center infrastructure required to meet growing AI development and demand. One-third think it will happen sooner, in 3-4 years, while 10% think it will not happen for 8-10 years or more.

Day 2 of the Gartner IT Symposium/Xpo 2025 delivered major insights into the future of AI, autonomous business, and IT spending. Key discussions covered why GenAI projects fail, the evolving landscape of global AI regulation, the transition toward autonomous business, and crucial considerations for AI and GenAI contracts.

Key Announcements

India’s IT Spending Forecast

• Gartner predicts India’s IT spending will surpass $176 billion in 2026, highlighting accelerated digital and AI-driven transformation across industries.

Top Reasons Why GenAI Projects Fail And How to Fix Them

Speaker: Arun Chandrasekaran, Distinguished VP Analyst, Gartner

Enterprises are under pressure to demonstrate measurable value from GenAI pilots. Chandrasekaran outlined common pitfalls and how organizations can avoid them.

Key Takeaways

• “The biggest risk with GenAI today is not taking any risk or waiting for the dust to settle.”

• Reason 1: GenAI alone may not deliver optimal results—use composite AI combining multiple techniques.

• Reason 2: Avoid tech obsolescence by building composable architectures and ensuring AI-ready data.

• Reason 3: Don’t treat responsible AI as an afterthought; embed it at the core of all initiatives.

• Reason 4: Invest in data and AI literacy through hands-on training that emphasizes both understanding and application.

The State of AI Regulation: Building a Unified Strategy

Speaker: Anushree Verma, Sr Director Analyst, Gartner

With AI laws emerging rapidly worldwide, organizations must navigate varied compliance frameworks without slowing innovation.

Key Takeaways

• “Most AI laws share a common structure… defining AI, assigning risk tiers, and outlining obligations.”

• High-risk AI systems require strong risk management programs to monitor, track, and mitigate risks.

• Ensure the quality of data used in training and inference for high-risk systems.

• Establish human oversight mechanisms to detect and address abnormal system behavior.

• Launch AI training programs so teams working with high-risk AI understand compliance requirements and can spot issues.

Autonomous Business: The Next Phase After Digital Business

Speaker: Kristian Steenstrup, Distinguished VP Analyst, Gartner

As AI reshapes products, customers, and operations, Steenstrup outlined the shift toward autonomous business—the next frontier after digital transformation.

Key Takeaways

• “Autonomous business is a force multiplier… enabling business innovation beyond traditional leadership.”

• Build an augmented workforce using AI-driven adaptive training to accelerate learning.

• AI-powered products will redefine customer expectations; leverage automation to unlock new revenue streams.

• Prepare for machine customers—AI agents engaging in transactions.

• The programmable economy will monetize new value forms; fintech adoption will be central.

Addressing Risks in AI and GenAI Contracts

Speaker: DD Mishra, VP Analyst, Gartner

GenAI introduces unique contractual risks related to data usage, responsible AI, and evolving pricing models.

Key Takeaways

• Ensure vendors clearly define data access, use, and responsible AI practices.

• Monitor market changes, as rising adoption and shifting pricing models can complicate contracts.

• Buyers should push for transparent, predictable pricing, as vendors often do not offer it upfront.

• Play an active role in shaping future standards by demanding greater transparency and risk mitigation from vendors.

End of Day 2

That wraps up Day 2 of the symposium. You can explore the agenda for Day 3 on the event website. If any session interests you and you’d like deeper insights, we can facilitate an interaction with the respective Gartner analysts.

AppsFlyer Announces Major Release of Eight New Products to Advance Growth Measurement, AI Automation, and Data Collaboration

SINGAPORE, Nov 19: AppsFlyer, announced the launch of eight new products designed to help businesses transform complex data into clarity and growth. The announcement underscores AppsFlyer’s evolution from mobile attribution pioneer to Modern Marketing Cloud that breaks down silos across omnichannel measurement, deep linking, data collaboration, and autonomous AI workflows to enable brands to make smarter decisions, faster.

“The Modern Marketing Cloud represents the next evolution of our mission, uniting measurement, data collaboration, and AI into one trusted, privacy-first platform.” said Oren Kaniel, CEO and Co-founder of AppsFlyer. “For over a decade, we’ve helped marketers adapt through the mobile and privacy revolutions. Now, in the AI era, we’re empowering them to go beyond optimization, to achieve truly autonomous growth.”

As part of this release, AppsFlyer introduced new products across its four suites, including:

Agentic AI Suite: AppsFlyer’s execution layer for marketing intelligence, combining an AI-ready data foundation, always-on pre-configured agents, and the Model Context Protocol (MCP) for building custom autonomous agents. The MCP layer supports leading large language models, including Claude, ChatGPT, Cursor IDE, and VS Code, enabling brands to design and automate any agentic workflows they need. The suite also includes pre-built AI agents that help marketers spot creative opportunities, surface daily insights, monitor configuration status, and identify performance trends – all built on trusted, privacy-safe data to deliver speed, automation, and agility.

Incrementality for User Acquisition: Quantifying the true incremental contribution of every touchpoint across the funnel. Incrementality for UA works holistically, cross-network and alongside attribution to deliver rigorous lift measurement seamlessly, without manual setup, enabling confident, data-driven investment decisions.

Cross-Platform Journeys & LTV Measurement: A unified omnichannel measurement layer that stitches user journeys across mobile, web, desktop, console, and CTV, delivering accurate ROI analysis, high-value user identification, and insights into long-term customer value.

Signal Hub: AppsFlyer’s new foundation for privacy-safe data collaboration, built for an era of signal loss and data fragmentation. It redefines how brands, partners, and media platforms connect and activate insights across the marketing ecosystem. Built on real-world purchase signals with integrated clean-room and identity-resolution technology, Signal Hub securely combines first-party and partner data to build high-intent audiences and measure performance across mobile, web, and CTV – delivering shared value, measurable performance, and privacy-safe growth across the ecosystem.

Enterprise-Grade Security Package: A new premium security tier adding SAML 2.0 SSO with SCIM provisioning, multi-token governance, extended audit logs with API access, IP allow lists, and granular RBAC, aligned to Zero Trust to streamline lifecycle management, speed audit readiness, and strengthen compliance.

Enhanced Attribution Model: A new anti-fraud attribution model that applies real-time AI behavioral analysis to detect click flooding per attribution, providing clean, trustworthy data, fairness for networks, and scalable growth for marketers.

My Dashboards (AI-Upgraded Dashboards): A redesigned dashboards experience that consolidates Activity, LTV, Cohort, SKAN, and SSOT views. With natural-language queries and an embedded AI assistant, teams can surface insights instantly without BI dependencies, turning dashboards into an interactive decision partner.

Creative Management Hub: The central hub for storing, managing, analyzing, and deploying creative assets. Built on AppsFlyer’s Creative Optimization suite, it unifies import, optimization, and distribution into one automated system, helping marketers eliminate manual work, accelerate time-to-launch, and scale creative insights with AI-powered scoring and recommendations.

For more than a decade, AppsFlyer has been the trusted leader in mobile attribution, empowering over 15,000 businesses worldwide – from startups to global giants. These eight new products mark the next chapter in AppsFlyer’s story, setting the pace for the future of marketing where data, AI, and collaboration drive growth at scale.

“These products were built hand-in-hand with our customers and partners, tested across industries and regions over the past several months,” said Barak Witkowski, Chief Product Officer at AppsFlyer. “Seeing how they’ve already helped brands identify new opportunities, maximize efficiency, and adapt to the AI era gives us tremendous confidence in what’s ahead.”

Bengaluru, Nov 19th : Biz Staffing Comrade Pvt Ltd, a renowned name in the HR realm which provides a wide range of recruitment and selection services to diverse companies released the results of its survey held at the HR Conclave recently. As artificial intelligence moves to the core of enterprise transformation, 59.1 percent of HR leaders believe that lack of trust in AI-driven decision-making is the single biggest barrier to its adoption. 27.3 percent pointed to insufficient communication and change management, indicating that many organisations are struggling to articulate the purpose, impact and expected outcome of AI adoption. 9.1 percent stated leadership hesitation or lack of clarity reflecting uncertainty at the top level around how to steer AI initiatives. While only 4.5 percent cited fear of job loss – challenging the popular belief that resistance to AI is driven by job insecurity.

The insight emerged from Biz Staffing Comrade’s HR Leaders’ Roundtable on “The Human Enterprise in an AI World” moderated by Achyuta Ghosh, Executive Research Leader at HFS Research, which convened more than 30 senior HR and Talent Acquisition leaders from India’s leading product and technology organisations. During the event, several questions were posed to the HR leaders to gain insights into their views on various strategic topics. The dialogue revealed that while Indian enterprises are keen to embed AI into their operations, trust and transparency – not technology – are emerging as the true markers of readiness.

This data challenges a long-held assumption that employee resistance to AI stems from anxiety about automation. Instead, the barrier appears to lie in opacity and unclear communication – a pattern reflected in global studies showing that while AI capability has accelerated, confidence in its governance and explainability still lags behind.

AI Ambition Is High, But Execution Still Trails

While optimism around AI adoption runs high, readiness to scale AI transformation remains limited. Only 8 percent of HR leaders said their organisations were fully prepared and already scaling human + AI collaboration. Around 40 percent described themselves as partially prepared, experimenting in select functions, while 44 percent said they were at the pilot stage with limited adoption. Another 8 percent admitted they had not yet started and were still evaluating possibilities.

These findings place India’s readiness curve close to the global average, where most organisations remain in early or partial stages of adoption. While global enterprises are investing heavily in automation, true differentiation increasingly lies in human capability. For India, this presents an opportunity to convert its demographic and digital strengths into sustainable AI maturity.

Jasvinder Bedi, Managing Partner at Biz Staffing Comrade, said that the focus must now move from intent to implementation. India’s AI opportunity is massive, but it needs speed, structure, and leadership clarity to translate ambition into real adoption.

Building Capability, Not Just Hiring Talent

A key shift highlighted during the roundtable was the move from hiring for skills to building them internally. 38 percent of leaders said upskilling existing employees on AI, related competencies had become their top workforce priority. 25 percent were focused on hiring AI or data specialists, while 21 percent said they were restructuring roles to promote deeper collaboration between humans and machines, and a minority of 16 percent suggested that it is still too early to determine the impact of AI on talent priorities. 

This marks a clear reorientation in talent strategy – from “buying capacity” to “building capability.” As AI continues to redefine work, organisations are realising that learning agility has become their strongest competitive edge. Globally, enterprises are shifting from one, off training programs to continuous learning ecosystems that keep pace with constant change.

Puneet Arora, Managing Partner at Biz Staffing Comrade, said

“the shift reflects a deeper evolution in leadership mindset. “Upskilling is no longer an HR initiative – it’s a core business priority. The key to success lies in building a resilient and adaptable workforce, equipped with the skills and mindset to thrive in a rapidly changing world.”

Legacy inefficiencies threaten transformation

The discussion also underscored how enterprise debt, the accumulated inefficiencies of legacy systems and siloed processes, continues to slow AI adoption. Many organisations are finding that automation exposes structural weaknesses rather than eliminating them. Globally, such inefficiencies are estimated to represent trillions of dollars in lost productivity each year.

The roundtable concluded that AI may redefine the structure of work, but humans will continue to define its purpose. Technology can deliver efficiency, but enduring value will come from trust, adaptability, and inclusion. Participants agreed that the next decade will not be defined by how fast machines learn but by how wisely humans adapt. Organisations that combine transparency with technological capability, and empathy with efficiency, will lead this new phase of human + machine collaboration.

Bengaluru, Nov 18 : Biz Staffing Comrade Pvt Ltd, a renowned name in the HR realm which provides a wide range of recruitment and selection services to diverse companies released the results of its survey held at the HR Conclave recently. As artificial intelligence moves to the core of enterprise transformation, 59.1 percent of HR leaders believe that lack of trust in AI-driven decision-making is the single biggest barrier to its adoption. 27.3 percent pointed to insufficient communication and change management, indicating that many organisations are struggling to articulate the purpose, impact and expected outcome of AI adoption. 9.1 percent stated leadership hesitation or lack of clarity reflecting uncertainty at the top level around how to steer AI initiatives. While only 4.5 percent cited fear of job loss – challenging the popular belief that resistance to AI is driven by job insecurity.

The insight emerged from Biz Staffing Comrade’s HR Leaders’ Roundtable on “The Human Enterprise in an AI World” moderated by Achyuta Ghosh, Executive Research Leader at HFS Research, which convened more than 30 senior HR and Talent Acquisition leaders from India’s leading product and technology organisations. During the event, several questions were posed to the HR leaders to gain insights into their views on various strategic topics. The dialogue revealed that while Indian enterprises are keen to embed AI into their operations, trust and transparency – not technology – are emerging as the true markers of readiness.

This data challenges a long-held assumption that employee resistance to AI stems from anxiety about automation. Instead, the barrier appears to lie in opacity and unclear communication – a pattern reflected in global studies showing that while AI capability has accelerated, confidence in its governance and explainability still lags behind.

AI Ambition Is High, But Execution Still Trails;

While optimism around AI adoption runs high, readiness to scale AI transformation remains limited. Only 8 percent of HR leaders said their organisations were fully prepared and already scaling human + AI collaboration. Around 40 percent described themselves as partially prepared, experimenting in select functions, while 44 percent said they were at the pilot stage with limited adoption. Another 8 percent admitted they had not yet started and were still evaluating possibilities.

These findings place India’s readiness curve close to the global average, where most organisations remain in early or partial stages of adoption. While global enterprises are investing heavily in automation, true differentiation increasingly lies in human capability. For India, this presents an opportunity to convert its demographic and digital strengths into sustainable AI maturity.

Jasvinder Bedi, Managing Partner at Biz Staffing Comrade, said that the focus must now move from intent to implementation. India’s AI opportunity is massive, but it needs speed, structure, and leadership clarity to translate ambition into real adoption

Building Capability, Not Just Hiring Talent;

 A key shift highlighted during the roundtable was the move from hiring for skills to building them internally. 38 percent of leaders said upskilling existing employees on AI, related competencies had become their top workforce priority. 25 percent were focused on hiring AI or data specialists, while 21 percent said they were restructuring roles to promote deeper collaboration between humans and machines, and a minority of 16 percent suggested that it is still too early to determine the impact of AI on talent priorities.

This marks a clear reorientation in talent strategy – from “buying capacity” to “building capability.” As AI continues to redefine work, organisations are realising that learning agility has become their strongest competitive edge. Globally, enterprises are shifting from one, off training programs to continuous learning ecosystems that keep pace with constant change.

Puneet Arora, Managing Partner at Biz Staffing Comrade,;said the shift reflects a deeper evolution in leadership mindset. “Upskilling is no longer an HR initiative – it’s a core business priority. The key to success lies in building a resilient and adaptable workforce, equipped with the skills and mindset to thrive in a rapidly changing world.”

Legacy inefficiencies threaten transformation;

The discussion also underscored how enterprise debt, the accumulated inefficiencies of legacy systems and siloed processes, continues to slow AI adoption. Many organisations are finding that automation exposes structural weaknesses rather than eliminating them. Globally, such inefficiencies are estimated to represent trillions of dollars in lost productivity each year.

The roundtable concluded that AI may redefine the structure of work, but humans will continue to define its purpose. Technology can deliver efficiency, but enduring value will come from trust, adaptability, and inclusion. Participants agreed that the next decade will not be defined by how fast machines learn but by how wisely humans adapt. Organisations that combine transparency with technological capability, and empathy with efficiency, will lead this new phase of human + machine collaboration.

Kolkata 14th November,2025:-  On World Usability Day 2025, observed globally under the theme “Emerging Technologies and the Human Experience,” Mihup – India’s leading Voice AI company – spotlighted its vision of making technology human, inclusive and effortless for every Indian.

Founded in 2016, Mihup builds next-generation conversational AI that transforms how people and enterprises interact with technology. From in-car voice assistants to contact-center automation and conversational analytics, Mihup’s products are designed to make everyday interactions simpler, safer, and more intuitive.

“Voice is the most human interface there is,” said Tapan Barman, Co-founder and CEO, Mihup. “Our mission is to make that interface accessible to everyone – regardless of the language they speak, the accent they have or the device they use.”

The story of Mihup is rooted in inclusion. The company’s name – short for “May I Help You Please” – reflects its founding belief that technology should assist, not alienate. When Mihup was founded, most digital tools catered primarily to English-speaking urban users. Millions of Indians – particularly from Tier 2 and Tier 3 regions – were excluded simply because they couldn’t type or speak in a global accent. Mihup set out to change that by creating voice technology that understands India as it is spoken.

At the heart of Mihup’s innovation lies its phoneme-based speech recognition engine, capable of understanding multiple Indian languages, dialects, and mixed-lingual speech. Combined with Gen AI-driven contextual reasoning and a hybrid on-device and cloud architecture, it ensures accuracy, responsiveness, and privacy – even in low-connectivity environments.

Today, Mihup powers voice assistants across leading automotive brands and AI-driven analytics and agent assistance for BFSI enterprises. Its solutions help businesses audit 100% of customer interactions, improve compliance, enhance customer experience, and drive measurable business outcomes – all while keeping usability at the core. “For us, usability is not a feature – it’s a philosophy,” added Barman. “As technology becomes more complex, our job is to make it feel simpler, more human and more empowering. “As India embraces its digital decade, Mihup’s vision of “accessibility through innovation” reflects the true spirit of World Usability Day – ensuring that emerging technologies amplify human experience rather than complicate it.

India 14^th November 2025: – Rallis India Limited, a Tata enterprise and a leading player in the Indian agri-inputs industry, announced its partnership with Paryan (Paryan Alliance Pvt ltd.) as the licensed technology partner for FullPage® Herbicide Tolerance Rice Technology in India.

The collaboration marks a significant step towards advancing sustainable and climate-smart rice cultivation practices in the country. Through this agreement, Rallis India will introduce FullPage®, a next-generation rice technology designed to enhance productivity, improve weed control efficiency, and deliver substantial water and cost savings for Indian farmers.

FullPage® is a comprehensive rice cropping system that integrates advanced herbicide-tolerant seeds, compatible crop protection solutions, and tailored agronomic practices. The system supports Direct-Seeded Rice (DSR) cultivation — helping reduce water usage, lower methane emissions, and improve overall resource efficiency compared to the conventional transplanting method of rice cultivation.

Speaking on the partnership, Dr. Gyanendra Shukla, Managing Director & CEO, Rallis India Limited, said: “At Rallis India, we are committed to enabling Indian farmers with innovative and sustainable technologies that address key agricultural challenges. Our collaboration with Paryan for FullPage® technology reinforces our focus on delivering climate-smart solutions that enhance productivity while promoting resource efficiency and environmental sustainability.”

Shirish Barwale, Executive Director, Paryan, added: “We are delighted to partner with Rallis India, a trusted name in Indian agriculture. With Rallis’ strong presence and deep connect with farmers, we look forward to accelerating the adoption of FullPage® technology, making rice farming more efficient, profitable, and sustainable.”

Why this technology matters for Rallis India Limited

Rice is India’s largest cultivated crop, covering more than 44 million hectares, yet it faces increasing challenges from water scarcity, labour costs, and weed management. FullPage® technology, combined with rice hybrids from Rallis under the Dhanya brand, aims to mitigate the challenges posed by the traditional transplanting method of rice cultivation:

·         Efficient Weed Management: Enables effective control of weeds and weedy rice, ensuring better yield stability.

·         Water and Labour Savings: Promotes Direct-Seeded Rice cultivation, reducing water consumption by up to 25–30% and minimizing labour requirement

·         Water and Labour Savings: Promotes Direct-Seeded Rice cultivation, reducing water consumption by up to 25–30% and minimizing labour requirements.

·         Improved Productivity: Supports better crop establishment and enhanced yield potential through advanced hybrid genetics.

·         Environmental Benefits: Helps lower methane emissions and supports India’s sustainability goals in agriculture.

For Rallis India, this partnership strengthens its strategic focus on innovation-led, sustainable agri-solutions and expands its presence in the high-potential rice segment. It positions the Company at the forefront of next-generation seed and crop protection technologies in India.

Timeline for Technology Introduction

Rallis will work with paddy farmers in India to initiate field demonstrations and gather the required information regarding agronomic performance and stewardship practices, followed by a phased scale-up for broader farmer access, which will help improve cultural practices for maximum benefits. The pilot demonstrations across key agronomic states and limited commercial sales will begin from the Kharif season of 2026. 

This timeline aligns with Rallis India’s commitment to ensuring responsible technology introduction, supported by farmer training, stewardship, and sustainability protocols. This partnership underscores both organizations shared vision to advance agricultural innovation and sustainability, driving meaningful impact for farmers and the planet.

13th November, 2025: Amrita Vishwa Vidyapeetham made an impact at the Emerging Science, Technology and Innovation Conclave (ESTIC 2025) at Bharat Mandapam, Pragati Maidan, New Delhi. The conclave, organised by the Department of Science and Technology (DST) under the guidance of the Office of the Principal Scientific Adviser to the Government of India, brought together some of the brightest minds from across the globe.

Event was inaugurated by the Prime Minister of India, Shri Narendra Modi, in the presence of the Nobel Laureate Professor Andre Geim from the University of Manchester. In his address, the PM reiterated India’s commitment towards Viksit Bharat 2047, saying, “The global order is witnessing a major shift. The pace of change today is not linear but exponential. With this mindset, India is advancing in all aspects of emerging science, technology, and innovation with constant focus and commitment. We have established the National Research Foundation to promote research and innovation in our universities. Alongside, we have launched the Research Development and Innovation Scheme with a budget allocation of ₹1 lakh crore.”

During a panel on Artificial Intelligence, Prof. P. Venkat Rangan, Vice Chancellor of Amrita Vishwa Vidyapeetham, highlighted the university’s human-centred approach to AI, stating, “Artificial Intelligence enhances human intelligence and addresses large-scale societal challenges such as healthcare delivery, disaster prediction, education, and sustainable development. At Amrita, we aim to make sure that AI research not only advances technology but also improves humanity through ethical and compassionate application.”

Supporting this sentiment, Dr. Sasangan Ramanathan, Dean Academics and Dean – Faculty of Engineering, added, “Government’s launch of the Research, Development, Innovation scheme fund is a welcome encouragement towards Indian companies investing in R&D, thereby promoting product development in India.”

Meanwhile, Dr. P. Rammanohar, Research Director at the Amrita Centre for Advanced Research in Ayurveda (ACARA), spoke on integrating traditional wisdom with modern science, noting, “Amrita’s approach connects traditional knowledge systems with modern science. At ESTIC 2025, our research showed how evidence-based Ayurveda and modern technology can come together to create innovative healthcare models for preventive and personalised medicine.”

Among the standout innovations featured was Amrita’s Landslide Early Warning System (LEWS) an IoT-based solution developed by the university’s Centre for Wireless Networks and Applications. The system uses real-time data analytics and wireless sensors to detect early signs of landslides and alert authorities, helping save lives in vulnerable regions.

Initially deployed in Munnar, Kerala, where it accurately predicted landslides in 2020, LEWS has since been expanded to Chandmari, Sikkim, covering 150 acres with over 200 sensors adapted for Himalayan conditions. It is now being extended to Odisha’s Gajapati district. By continuously monitoring rainfall, soil moisture, and ground movement, the system enhances climate resilience and disaster preparedness a shining example of technology serving humanity.

Through innovations and collaborations, Amrita Vishwa Vidyapeetham continues to contribute India’s science and technology landscape, aligning with the nation’s vision of becoming a global innovation leader.

13th November 2025: Finarkein, a leading technology company enabling responsible and intelligent data-driven financial services, successfully showcased its innovations in cross-border, consent-led data infrastructure at the Singapore FinTech Festival (SFF) 2025. The participation showcases Finarkein’s commitment to shaping secure, interoperable, and user-consented data exchange frameworks for the global financial ecosystem.

SFF 2025 served as the premier global stage for fintech innovation and networking, bringing together leading fintechs, central banks, regulators, global investors, and innovation leaders from over 100 countries. Finarkein’s participation marked a significant milestone in advancing its global innovation agenda, offering exceptional brand visibility and positioning it among international leaders in Open Banking and Digital Public Infrastructure (DPI).

The event offered Finarkein an opportunity to demonstrate how India’s consent-led digital frameworks can be adapted for diverse markets, reinforcing a vision of trusted, seamless, and universally accessible financial data exchange. The team gained valuable insights from strategic discussions, peer interactions, and emerging trends—learnings that will inform future product narratives and go-to-market strategies.

The company’s announcement followed its recent USD 1.5 million extended pre-Series A round backed by the DSP Group Family Office, a clear reflection of investor trust in the company’s vision for the future of financial data infrastructure.

“As cross-border finance continues to evolve with multiple networks and rails competing to deliver secure, real-time, and affordable payments, data is following a similar trajectory. Open Finance has now become a global phenomenon, and Finarkein is taking the lead in building the next-generation rails for cross-border, consented data-sharing networks, responsibly and at scale,” said Nikhil Kurhe, Co-founder & CEO, Finarkein.

In India, the company has become a trusted technology partner for banks, NBFCs, insurers, and fintechs by powering compliant and secure data exchange through the Account Aggregator (AA) framework. At SFF 2025, Finarkein engaged with global partners to explore collaborations across Asia and beyond — reinforcing how consent-led data architectures can unlock innovation in lending, wealth management, insurance, and cross-border financial services.

As global financial systems evolve toward greater connectivity, user empowerment, and data-led innovation, Finarkein is developing advanced data rails built on trust, transparency, and consent. Engineered for seamless cross-border collaboration and aligned with the highest standards of security, privacy, and interoperability, these solutions position Finarkein at the forefront of the transition to unified, consumer-centric data frameworks—enabling a more open, inclusive, and frictionless embedded finance ecosystem.