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Month: July 2025

Technology

India’s 4M Developers Are Powering MongoDB’s Surge as a Full‑Stack AI Data Platform

Observenow Desk July 9, 2025

India’s estimated four million developers are playing a pivotal role in MongoDB’s rise as a premier platform for modern data and AI workloads. Far from being merely a NoSQL database, MongoDB now offers features such as integrated vector search, full‑text indexing, real‑time streaming, and secure JSON document storage—eliminating the need for multiple, separate databases.

Sachin Chawla, vice president for India and ASEAN, highlights broad adoption across sectors: Tata Digital built its massive Tata Neu super‑app on MongoDB; Nbfc Capri Global uses vectorisation for credit decisions; SonyLIV replatformed its CMS for performance gains of nearly 98 percent; and Zomato employs MongoDB for order tracking, partner onboarding, and real‑time services. Large enterprises like Canara HSBC Life, Tata AIG, and Hindustan Times are also leveraging the platform for core banking, insurance claims, content publishing, and data analytics.

The startup and digital‑native economy is embracing MongoDB’s platform approach as well. AI‑driven firms such as Devnagri, Ambee, Inovaare, Observe.AI, PhysicsWallah, Flobiz, Darwinbox, and Upstox rely on its multi‑model capabilities to handle unpredictable and expansive data needs efficiently. A recent NASSCOM estimate suggests that nearly half of Indian startups will integrate edge and vector search platforms like MongoDB in the next 18 months.

MongoDB is backing this momentum with heavy investment in India: nearly 700 employees—including a dedicated engineering team—support regional R&D and innovation. Its upskilling pipeline is noteworthy too: over 360,000 Indian learners are enrolled via MongoDB University, and a combined ambition is set to train 500,000 developers in partnership with academic bodies and platforms like AICTE and GeeksforGeeks. Regular Developer Days, meetups, and community engagement further amplify adoption and awareness.

Enterprise adoption reflects deepening confidence: more than 3,000 organisations now run MongoDB in India, a market contributing to its global growth trajectory alongside other fast‑growing regions. With the subcontinent’s booming cloud and AI economy, MongoDB continues to position itself at the forefront—empowering developers to build modern, scalable, AI‑ready applications with a single, unified data layer.

Tags: 4M DevelopersMongoDB

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Technology

Pure Storage Ushers in Era of Cloud-Like Enterprise Data Management

Observenow Desk

Pure Storage is redefining the landscape of enterprise data storage with its newly unveiled Enterprise Data Cloud, which blends on-premises infrastructure with public and hybrid clouds under a single intelligent control plane. Announced at its Pure//Accelerate event in Las Vegas on June 18, the platform is designed to eliminate fragmented silos and allow IT teams to manage data policy and governance with cloud-level simplicity, regardless of where the data resides.

At the heart of EDC is the Pure Fusion architecture, which treats each storage array as a node in a virtualized data fabric. This enables dynamic pooling, self-discovery, and centralized control—allowing administrators to manage storage at scale through policy automation rather than manual provisioning. Pure’s CEO Charles Giancarlo emphasized the shift to treating data storage as a cloud-native service, reducing the burden of managing hardware and freeing organizations to focus on deriving business value from their data.

The response from industry analysts has been notable. Matt Kimball from Moor Insights described EDC as a “tangible shift” that brings clarity and governance to hybrid environments, making data management actionable today. Pure’s strategy extends beyond hardware, integrating partnerships with hyperscalers and embedding AI tools to handle data compliance, snapshots, tiering, and performance tuning automatically.

Financially, Pure is backing its vision with strong momentum. Its latest quarter showed cloud service revenues rising 50 percent to $3.2 billion, with subscription models making up half of that total. Echoing this shift, Tarek Robbiati, a former HPE executive recently appointed CFO, is tasked with guiding Pure’s transformation from a hardware-centric company to a software- and services-led enterprise.

Early proofs of concept include deployments with global enterprises like ServiceNow and Sirius XM. ServiceNow customers reportedly saw a 70 percent reduction in data center footprint, while Sirius XM benefitted from 99 percent fewer upgrade disruptions after migrating to Pure’s EDC platform. These outcomes highlight how data management automation across storage arrays can translate into real efficiency gains.

As AI workloads and distributed data sources proliferate, Pure Storage’s vision positions the company to capitalize on a significant market transition. By framing storage as data management and delivering that vision through intelligent software, Pure is charting a path toward autonomous, cloud-first infrastructure—where managing data, rather than hardware, becomes a strategic enabler for modern enterprise operations.

Tags: Enterprise Data ManagementPure Storage

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Trending

Bharat’s Shubhanshu Shukla Calls Journey to Space a Wonderful Ride as He Gazes at Earth from ISS

Observenow Desk

Group Captain Shubhanshu Shukla, India’s pioneering astronaut aboard the International Space Station (ISS) as part of Axiom Mission 4, has described his journey as “a wonderful ride,” expressing profound awe at seeing Earth from orbit. Docked on June 26 via SpaceX’s Dragon capsule, Shukla became the 634th astronaut in space and the second Indian to reach the ISS. As he crossed the hatch, he was welcomed warmly by the Expedition‑73 crew, a gesture that left him deeply moved and exceeded all his expectations.

Shukla was visibly struck by the planet’s beauty, describing it as a privilege to witness Earth from such a vantage point. He particularly mentioned how the views of continents and city lights, floating in microgravity and seeing the seamless unity of Earth from space, brought home the fragility and interconnectedness of our world. His reflections echo those of his predecessors, who spoke about a profound shift in perspective—the so-called “overview effect”—that often comes from gazing at our blue planet from space.

Beyond the visual spectacle, he also pointed to the camaraderie aboard the international station. Cultural exchanges included sharing traditional Indian dishes—mango pulp, gajar ka halwa, and moong dal halwa—with his crew members, who embraced the flavours of home. These moments underscored the unity found in space exploration, transcending national boundaries in favour of shared human experience.

Shukla’s emotional message to his countrymen was heartfelt. He acknowledged the physical challenges of adapting to life in orbit—such as head pressure in microgravity—but assured that he was adjusting steadily. Floating into his assignment on the ISS, he spoke of the responsibility he feels carrying the Indian tricolour and the support of 1.4 billion citizens. He pledged to make the next fourteen days “amazing,” focusing on scientific experiments, technology demonstrations, and outreach, all while carrying India’s aspirations into space.

Group Captain Shukla’s mission is also a demonstration of international coordination. Developed in collaboration with ISRO, NASA, ESA and private partner Axiom Space, the Axiom‐4 mission underscores the growing role of commercial space in broadening access to low-Earth orbit. It also aligns with India’s emergence as an active participant in global space exploration ahead of its homegrown Gaganyaan mission.

As the world watches, Shukla’s journey symbolizes a new chapter for India—one that combines tradition with technology, national pride with global collaboration. His words from space—”It has been a wonderful ride”—capture not only the thrill of human exploration, but also the promise of a future where India charts its own course among the stars.

Tags: International Space StationNASAShubhanshu Shukla

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Trending

Rupee Strengthens to 85.72 Against Dollar Amid Soft Greenback and Positive Market Cues

Observenow Desk

The Indian rupee rose by 22 paise in early trade on Monday, settling at ₹85.72 against the U.S. dollar, buoyed by favorable global cues, a softer dollar index, and continued foreign capital inflows. This upward movement reflects improved investor sentiment following signs of easing geopolitical tension and resilient performance in the domestic equity markets.

One of the key drivers behind the rupee’s appreciation was the subdued strength of the U.S. dollar in global currency markets. The dollar index, which tracks the greenback against a basket of major currencies, remained under mild pressure as market participants weighed recent economic data and central bank signals. The prospect of stable U.S. interest rates, combined with reduced expectations for immediate rate hikes, gave emerging market currencies including the rupee some breathing room.

Additionally, international crude oil prices hovered near lower levels, providing support to India’s current account and easing inflationary pressures. Brent crude remained below the $85 per barrel mark, a welcome development for India, one of the world’s largest oil importers. A drop in oil prices tends to support the rupee by reducing the demand for dollars to pay for energy imports.

Market experts also noted that foreign institutional investors (FIIs) continued to show confidence in Indian markets, contributing to a steady inflow of capital. FIIs were net buyers in recent trading sessions, lured by India’s robust macroeconomic fundamentals and promising corporate earnings outlook. This capital movement has helped ease pressure on the rupee and supported its upward momentum in currency trade.

On the domestic front, equity markets opened on a firm note, further reinforcing positive sentiment in the forex space. The benchmark BSE Sensex and NSE Nifty were trading higher, signaling investor optimism across sectors ranging from financials to IT. This upbeat mood has strengthened the rupee’s position even as caution lingers over global developments.

However, analysts warned that while the rupee may continue to benefit from short-term tailwinds, structural risks remain. Concerns around the upcoming U.S.-India trade negotiations, along with potential policy shifts following geopolitical developments, could reintroduce volatility. The situation is particularly fluid given the recent statements by the U.S. administration on tariff re-evaluations, and traders are closely watching whether India might be affected in the next round of tariff decisions.

Despite these uncertainties, the rupee’s ability to gain ground suggests underlying resilience, supported by a diversified economic base, growing investor confidence, and manageable inflation trends. If global conditions remain favorable and India avoids being targeted in any near-term trade restrictions, the rupee could maintain its relatively stable trajectory through the coming weeks.

Tags: DollarRupee

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Governance

India Launches ₹10,000 Crore Deep Tech Fund to Power Next-Gen Innovation Ecosystem

Observenow Desk July 8, 2025

In a landmark move to bolster India’s technology leadership, the government has officially launched a ₹10,000 crore Deep Tech Fund aimed at accelerating the growth of homegrown innovation in strategic and emerging technologies. This initiative is set to reshape India’s startup ecosystem by channeling capital into deep tech areas such as artificial intelligence, quantum computing, robotics, semiconductors, space technology, and biotechnology—sectors that are often underserved by traditional venture capital due to their high-risk, long-gestation nature.

Announced in the Union Budget 2024–25 and now operationalized under the Ministry of Commerce and Industry, the Deep Tech Fund will be administered through a Fund of Funds mechanism by the Small Industries Development Bank of India (SIDBI). The initial corpus of ₹2,000 crore has already been sanctioned, and the fund will operate by investing in SEBI-registered Alternative Investment Funds (AIFs) that, in turn, will back early-stage deep tech startups. This layered structure is designed to ensure efficient capital allocation and professional fund management, encouraging co-investments from private sector players and institutional backers.

Commerce and Industry Minister Piyush Goyal emphasized the critical role of the fund in enabling India to leapfrog into global leadership across advanced technologies. He noted that deep tech startups face unique challenges—such as higher R&D expenses, longer product cycles, and complex regulatory environments—that require patient capital and long-term strategic support. The fund aims to close this financing gap while also promoting indigenous intellectual property creation and technology sovereignty.

Several domestic venture capital firms with a focus on science and innovation—such as Blume Ventures, Bharat Innovation Fund, Chiratae Ventures, and Omnivore—are expected to receive backing through this initiative, thereby increasing their ability to support disruptive innovations from idea to commercialization. The fund is also aligned with India’s national goals under the Atmanirbhar Bharat (self-reliant India) mission and Digital India, where deep tech solutions are seen as critical enablers of economic transformation, national security, and public service delivery.

The launch of the Deep Tech Fund comes at a time when India’s startup ecosystem is maturing, with over 100,000 startups and more than 110 unicorns, yet relatively few are operating in high-impact tech sectors. Government data indicates that less than 1% of Indian startups fall under the “deep tech” category—a statistic the fund aims to change. By supporting founders working on core research, hardware innovation, and next-gen computing models, the government hopes to stimulate a new wave of tech entrepreneurship that goes beyond app-based services and e-commerce.

Industry bodies have widely welcomed the initiative. The PHD Chamber of Commerce and Industry has called it a “game-changer” for the innovation economy, stating that the fund has the potential to propel India into the league of nations leading frontier tech development. Analysts believe that the initiative will also encourage greater collaboration between startups, academic institutions, and corporate R&D labs, creating a more robust and self-sustaining innovation ecosystem.

Looking ahead, the success of the fund will depend on its ability to identify visionary founders, attract qualified fund managers, and foster outcome-oriented research. Transparency, sectoral focus, and alignment with global technology trends will be critical to ensuring that public capital is deployed effectively.

India’s ₹10,000 crore Deep Tech Fund is more than a financial instrument—it is a strategic blueprint to ensure that the next era of global technological leadership has Indian innovators at its core. With global interest in AI, quantum, and cybersecurity intensifying, this fund may well be the spark that unlocks India’s potential as a deep tech powerhouse for decades to come.

Tags: Atmanirbhar BharatDeep Tech Fund

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Technology

Oracle Strengthens AI Ambitions with Massive Data Center Capacity Expansion

Observenow Desk

Oracle is rapidly scaling up its data center capacity to meet surging demand for artificial intelligence compute services, positioning itself as a dominant player in the next-generation cloud infrastructure market. As of early 2025, hyperscalers operate 1,189 data centers, 44% of the global total, a share projected to grow to 61% by 2030. Oracle is firmly in that race, aggressively expanding its footprint to serve AI workloads.

A landmark development in this effort is Oracle’s extension of its “Stargate” partnership with OpenAI, through which OpenAI will lease an additional 4.5 gigawatts of power capacity, enough to support 2.3 million high-performance GPUs. This deal, reportedly valued at $30 billion annually and tied to Oracle’s broader $500 billion initiative, effectively transforms Oracle into a hyperscaler-level cloud provider for AI.

Oracle is not just building capacity; it’s front-loading investment. Planning to double its capital expenditure in 2025, up from around $10 billion, to over $20 billion, the company is deploying billions more to alleviate supply constraints and scale out its data center infrastructure. That commitment reflects surging cloud service revenues and a growing pipeline of AI-centric deals.

Oracle’s strategy is yielding investor confidence: its shares have recently surged, reaching record highs on the back of the OpenAI contract announcement and a bullish revenue outlook. TD Cowen analysts forecast cloud revenue growth exceeding 50% by fiscal 2028, while institutional investors are reacting positively to Oracle’s climb in commodities and cloud capacity.

Beyond OpenAI, Oracle is building new data centers and expanding existing ones across multiple U.S. regions—including Abilene, Texas, Michigan, Wisconsin, and Georgia—to service an expanding roster of AI-driven clients. It now operates over 100 cloud regions, a number CEO Safra Catz expects to grow further as component supply constraints ease.

Oracle’s pivot reflects a broader industry trend—hyperscalers seeing explosive growth in AI workloads are investing heavily to close the gap in compute capacity. By aligning data center expansion with strategic partnerships and long-term power purchase agreements like Stargate, Oracle is betting on its ability to sustain growth and become a central force in the AI-era cloud ecosystem.

Tags: Data CenterOpenAIOracle

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Education

Coursera Appoints Ashutosh Gupta as Managing Director to Strengthen India and Asia Pacific Growth Strategy

Observenow Desk

Coursera has appointed Ashutosh Gupta as its new Managing Director for India and the Asia Pacific region, signaling a renewed commitment to one of the edtech platform’s most dynamic and fast-growing markets. Gupta, a seasoned executive with over two decades of experience in digital transformation, enterprise growth, and technology-led innovation, is expected to spearhead Coursera’s regional expansion across corporate, academic, and government partnerships.

Gupta brings a rich leadership background from his tenure at global firms such as LinkedIn, Google, Infosys, and Cognizant, where he held roles spanning digital strategy, B2B growth, and large-scale talent transformation. At LinkedIn, he served as India Country Manager, building out the platform’s enterprise ecosystem and significantly expanding its learning business footprint in the region. His move to Coursera is being seen as a strategic play to capitalize on India’s rapidly evolving skilling landscape and rising demand for AI and technology education.

Under Gupta’s leadership, Coursera aims to deepen its engagement with enterprises seeking to future-proof their workforce through cutting-edge learning solutions. India is currently the company’s second-largest market globally, with over 26 million registered learners and a steep rise in interest for technology-oriented upskilling. Notably, enrollments in generative AI courses surged to nearly 950,000 in the past year alone—a staggering 1,600% increase year-on-year—reflecting a broader shift among Indian professionals and students toward AI literacy.

Coursera’s enterprise and government portfolios in India have also grown steadily, with clients including top-tier banks, IT services companies, educational institutions, and public sector entities. Gupta will be responsible for scaling these partnerships while also driving Coursera’s influence across key APAC markets such as Singapore, Australia, Indonesia, and the Philippines. His role will encompass building localized content, advancing regional language offerings, and tailoring learning paths that align with country-specific workforce needs and digital skilling mandates.

With digital transformation accelerating across Asia, Coursera is doubling down on its efforts to deliver job-relevant, industry-aligned education to learners at scale. The platform has introduced professional certificates in collaboration with top global companies including Google, Microsoft, and IBM—many of which are being actively deployed across Indian enterprises for leadership and mid-career reskilling. Sectors such as BFSI, healthcare, IT services, and manufacturing are leading adoption, with digital-native startups and SMBs also integrating Coursera for agile learning deployments.

Gupta’s appointment comes at a critical inflection point for the edtech industry, as online learning platforms shift from growth-centric models to deeper impact and monetization strategies. For Coursera, which was recently named among TIME’s 100 Most Influential Companies of 2025, India represents not just a market of scale but also a global hub for content creation, platform innovation, and talent transformation.

With a strong pipeline of institutional partnerships and an expanding user base hungry for future skills, Coursera—under Gupta’s direction—is poised to become a cornerstone in India’s national skilling agenda and a key driver of learning innovation across Asia Pacific.

Tags: Ashutosh Guptacoursera

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BFSI

Mittal and Warburg Pincus Offer $720 Million for 49% Stake in Haier India

Observenow Desk

Sunil Mittal, founder of Bharti Airtel, and private equity firm Warburg Pincus have jointly submitted a $720 million bid for a 49% stake in Haier India, according to sources familiar with the matter. The offer marks a significant discount to Haier’s initial valuation of $2 billion, which industry experts believe reflects concerns over high brand usage fees and royalty costs imposed by its Chinese parent company.

Haier India currently operates three manufacturing facilities producing a wide range of home appliances, including air conditioners, refrigerators, and washing machines. The company has grown rapidly, reporting sales increases of more than 30% year‑on‑year in recent quarters, with its side‑by‑side refrigerators capturing around 21% of the market.

As part of the deal, Haier India may allocate a modest 2% equity share to its employees, while remaining wholly owned by Haier Group until the transaction closes. The new investors and Haier’s parent company are expected to exercise joint control over the business. The group is also exploring the possibility of a stock market listing in India within the next two years, viewing it as a potential exit strategy.

Initial discussions with other major investors, including Reliance Industries, TPG Capital in partnership with the Dabur family, and Singapore’s GIC collaborating with the Goenka family, failed to result in binding offers. While Haier India’s valuation aspirations remain high, the lower bid underscores investor caution, especially regarding the financial demands of licensing and royalties.

Neither Mittal, Warburg Pincus, nor Haier have confirmed the bid publicly. Haier’s board is expected to evaluate the proposal in detail, weighing the trade-off between valuation and structural viability amid evolving market conditions.

For Mittal and Warburg Pincus, securing a stake in Haier India represents a strategic push into the consumer durables sector—an area that continues to benefit from rising disposable incomes and accelerated demand in both urban and rural markets. At the same time, Haier Group’s pursuit of capital and partial local ownership signals its intention to strengthen the company’s Indian footprint and possibly unlock future shareholder value through an offering.

This transaction, if finalized, would stand as one of the most notable private equity partnerships in India’s consumer sector, offering Mittal and Warburg Pincus a solid base in a high-growth industry while giving Haier access to domestic investment and a potential path to public markets.

Tags: Bharti AirtelSunil MittalWarburg Pincus

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Trending

Capgemini to Acquire WNS for $3.3 Billion to Accelerate Global Leadership in Agentic AI

Observenow Desk

Capgemini has announced a definitive agreement to acquire WNS for $3.3 billion in an all-cash deal, marking a bold move to strengthen its position in the fast-evolving domain of agentic AI. The acquisition, unanimously approved by the boards of both companies, values WNS at $76.50 per share, reflecting a 28% premium over its 90-day volume-weighted average price.

The move signals Capgemini’s intention to lead the next wave of AI transformation, particularly in business process services (BPS)—an area the company sees as pivotal in showcasing the power of agentic AI. “Business process services will be the showcase for agentic AI,” said Aiman Ezzat, CEO of Capgemini. “Capgemini’s acquisition of WNS will provide the group with the scale and vertical sector expertise to capture that rapidly emerging strategic opportunity.”

WNS, a global BPS leader with deep domain capabilities across industries including BFSI, travel, healthcare, and utilities, reported revenues of $1.27 billion in FY25 and has consistently delivered 9% growth over the past three years. The acquisition will add WNS’s expertise, talent base, and longstanding client relationships to Capgemini’s growing AI-led digital transformation portfolio.

Keshav R Murugesh, CEO of WNS, emphasized the strategic fit and timing of the deal. “Organisations that have already digitised are now seeking to reimagine their operating models by embedding AI at the core—shifting from automation to autonomy,” he said, highlighting how agentic AI will help clients move from efficiency to intelligent self-learning systems.

Capgemini has emerged as a front-runner in generative AI, recording €900 million in GenAI bookings in 2024 alone. Its ongoing collaborations with hyperscalers like Microsoft, Google Cloud, AWS, and chipmaker NVIDIA are enabling the delivery of AI-powered intelligent operations at scale. This acquisition will significantly deepen its domain and delivery capabilities, especially in markets demanding operational agility and AI-enhanced customer experiences.

The financial impact of the deal is expected to be significant. Capgemini projects an EPS accretion of 4% by 2026, increasing to 7% in 2027 after expected synergies are realized. The deal will be financed entirely through available cash reserves and is expected to close in the latter half of 2025, subject to regulatory approvals.

As global enterprises pivot from traditional process automation to AI-driven operational intelligence, the acquisition positions Capgemini as a transformative partner capable of delivering autonomous, scalable solutions across the business services value chain.

Tags: CapgeminiWNS

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Exclusive

We Don’t Just React to Change—We Engineer It”: vidBoard.ai CTO on Building AI-Native, Privacy-First Customer Experiences

Observenow Desk

In a world where generative AI evolves faster than most companies can react, Tushar Bhatnagar, Co-Founder and CTO of vidBoard.ai, is already reprogramming the rules of customer engagement. From real-time video rendering to privacy-respecting synthetic media, his startup operates at the cutting edge of deep tech—where every microsecond counts and every data point is sacred.

In this exclusive interaction with ObserveNow, Bhatnagar breaks down what it really takes to stay ahead in today’s AI-native product landscape. With a background spanning IoT, EVs, drones, and enterprise software, he brings a cross-disciplinary lens to building scalable AI infrastructure, managing user trust, and iterating with uncommon clarity. His philosophy? Build like you’re always behind—because that’s the only way to stay ahead.

Question 1:

As a startup, how do you continuously redefine customer experience to anticipate evolving user expectations and maintain a leading position in a rapidly changing digital landscape?

Generative AI has completely shifted the paradigm over the last few years, and we have adapted fast to this. At both Alpha AI and vidBoard.ai, we are absolutely ruthless and focused about listening to our users. Every bit of feedback is gold. Every domain always taught us one thing: the end user is your loudest signal as well as supporter. We treat user interactions like data points, something to analyze, break down, and optimize continuously. Expectations today shift at lightning speed, especially within the AI space. So we don’t just keep our ears open, we build systems around early signals and trends, conduct tight feedback loops, and run experiments in the open with the public in some form or the other. This is not just guesswork, it is structured anticipation.

Redefining CX involves a continuous cycle of building, testing, observing, eliminating ineffective elements, and amplifying successful ones, rather than focusing solely on features. Our flexible roadmap is shaped by real-world usage and feedback, not internal assumptions. We prioritize outcomes, operate collaboratively with early adopters, challenge our assumptions, and embrace iteration to remain relevant and drive change.

Question 2:

What role does data privacy play in vidBoard.ai’s product development cycle? How do you position consumer-centric data privacy in your organisation?

Data privacy isn’t an afterthought at vidBoard.ai, it is there from foundational level. When you are building deep tech tools that operate with human likeness, voice, and motion, like we do, a user’s trust becomes your only real currency. We treat privacy not just as compliance, but as a product principle.

From day one, we have implemented privacy-by-design practices. That means privacy considerations are baked into architecture, infrastructure, and workflows right from prototype. Every new feature goes through internal reviews not just for functionality or UX, but for data risk and exposure. We question every single data point we collect: do we need it, can it be anonymized, can it be encrypted, can it be deleted on user demand?

We also give users complete control over their data. Whether it’s facial footage, voice samples, or generated content, they can delete, export, or restrict use with clarity and ease. And we don’t do shady business behind the scenes, no silent analytics, no surprise model training. So to sum it up: data privacy is not a checkbox. It’s non-negotiable. It’s embedded in how we build, how we ship, and how we stay trusted.

Question 3:

How are you strategically leveraging data across all touchpoints to not only personalize user experiences but also to inform product development and market expansion initiatives?

At both Alpha AI and vidBoard.ai, data for us is not just fuel as the norm these days suggests, it’s feedback. We treat every user interaction, every click, every drop-off, and every conversion as a potential indicator. These indicators form the basis of how we personalize experience and guide strategic decisions across the board.

On the personalization front, we segment and analyze usage patterns to identify not just what users are doing, but why. Whether it’s how a user renders a video or interacts with a chatbot or custom avatar and what not, we use those insights to tweak interfaces, recommend actions, and serve contextual content that shortens the path to end user value.

We use closed-loop feedback systems to inform product development, focusing on feature utility, adoption, and impact. This data drives our sprints, dictating what to build, remove, or enhance, ensuring no superfluous features. Data shapes our building, serving, and growth, with diverse sources adding depth to our decisions. Every interaction refines the next.

Question 4:

What are the challenges of implementation of AI and its derivatives like Gen AI, and Agentic AI in your line of  business?

Implementing AI, especially Gen AI and Agentic AI, comes with a unique mix of promise and pain. At Alpha AI and vidBoard.ai, we sit at the intersection of user-facing applications and deep tech infrastructure, so we see all those cracks up close.

First, there’s the obvious challenge of compute. Running inference-heavy Gen AI models in real-time, at scale, without burning a hole in your balance sheet is not trivial. Most open-weight models still demand significant GPU resources, and optimization and cost efficiency become a daily obsession.

Gen AI models face several challenges: inconsistency, which adds technical debt and slows market speed; high user expectations, necessitating transparent communication; and compliance/ethical concerns like deepfakes, requiring built-in verification. These solvable challenges demand vigilance, technical expertise, and honesty about AI’s current capabilities.

Question 5:

Are there any particular infrastructural challenges that you face?

Absolutely, and they hit you at multiple layers all the time. At Alpha AI and vidBoard.ai, infrastructure isn’t just about servers and bandwidth. We’re dealing with inference-intensive models, rendering pipelines, and content delivery at scale. That means our infra stack has to do some serious heavy lifting, consistently. All the time.

GPU availability, latency, load balancing, versioning, rollback, and monitoring are ongoing challenges for AI infrastructure. Our infrastructure is a full-stack orchestration challenge, not just technical plumbing, and must be treated as a core product to prevent system-wide failures.

Question 6:

In what ways is AI transforming enterprise customer experience strategies? Furthermore, what are the primary hurdles to overcome when implementing and expanding AI solutions within cloud-based infrastructures?

AI is fundamentally reprogramming how enterprises think about customer experience. It’s no longer about one-size-fits-all journeys. AI allows businesses to personalize at scale, adapt in real time, and proactively solve problems before they even surface. At Alpha AI and vidBoard.ai, we’ve seen this shift up close. Intelligent workflows, dynamic content rendering, conversational agents, and real-time recommendations are no longer perks at all, they’re expectations.

AI predicts user behavior, transforming customer experience from reactive to predictive. However, cloud-based AI expansion faces hurdles: latency due to compute-heavy tasks, complex data governance for sensitive enterprise data across regions, and immature model management tools for versioning, rollback, and fine-tuning. Integrating AI with legacy systems also requires extensive orchestration. True AI transformation demands technical, cultural, and strategic effort, not just plug-and-play.

————

For Tushar, AI isn’t just a feature—it’s the foundation. Whether it’s taming hallucinations in GenAI models, localizing infrastructure for real-time rendering, or embedding privacy at the architectural level, vidBoard.ai’s approach is refreshingly unglamorous: test rigorously, listen obsessively, scale responsibly.

As the generative AI wave accelerates, leaders like Bhatnagar remind us that sustainable innovation doesn’t come from racing to release—it comes from relentlessly refining what already works. In a sector obsessed with novelty, his superpower is discipline—the discipline to treat AI not as magic, but as a system that must be debugged, secured, and constantly rebuilt for the user it serves.

Tags: GenAITushar BhatnagarvidBoard.ai

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