Год: 2025

The Data Engineering Summit 2026 arrives on May 14 and 15 in Bengaluru at a time when enterprises are rebuilding their data foundations to match the speed of AI adoption. The summit, in its fifth edition, has become a critical meeting point for engineers, architects and leaders shaping large scale systems. Attendance is expected to cross one thousand participants, supported by more than fifty speakers who are known for building real production frameworks inside global organisations.

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Why the summit matters

The summit captures how DataOps is shifting from basic orchestration into a strategic discipline. Real time pipelines are now a requirement. Data as a product and data mesh are becoming standard. Streaming technologies like Apache Kafka are moving from edge cases into core architecture. These changes reflect the daily reality inside engineering teams and the summit brings these conversations into one place.

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Inside the data revolution

Generative AI is forcing enterprises to rethink their entire data stack. Model quality is directly tied to data trust. Pipeline architecture must support continuous learning. Schema design and access layers have become part of the business value chain. Engineering teams that manage to harmonise these components are finding ways to unlock new growth. The summit highlights these patterns through technical sessions, case studies and engineering deep dives.

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Building the next generation of data foundations

Foundational models demand strong semantic structures. Data fabrics require unified metadata and governance. Probabilistic design forces engineers to rethink how systems manage noise. Companies are rebuilding lakes and warehouses with more attention to operational efficiency because inefficiency compounds at scale. The summit creates a space for engineers to compare frameworks and understand what leading teams are deploying today.

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Celebrating engineering excellence

The Finkelstein Awards for Data Engineering Excellence will be hosted during the summit. Nominations for the 2026 edition are now open. These awards recognise engineering teams and leaders who have pushed the boundaries of scale, reliability and innovation. With a rigorous evaluation process led by AIM Research and industry experts, the awards night has become an important recognition platform for the community.

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Speakers who shape the industry

The 2025 edition saw participation from leaders such as Anil Kumble, Sandip Didwania, Hareesh Ravuri, Maulik Dixit, Natarajan Ramamurthy, Vikas C Sajjan, Anirban Roy and Jayesh Asrani. Their sessions focused on architecture, deployment patterns and frameworks that support AI at scale. The 2026 lineup follows the same spirit of technical depth and operational experience.

Sponsor DES 2026

Data Engineering Summit 2026 offers a high value platform for brands building tools, infrastructure and solutions for the data ecosystem. With an audience mix that includes VPs, directors, C level leaders and managers, sponsors gain access to decision makers who influence roadmaps and budgets for data platforms. The exhibition area enables product demos, live interactions and hands on discovery. Speaking opportunities help brands establish credibility with practitioners. The summit also includes features such as hackathons, roundtables, one on one conversations, an afterparty and fringe forums that enhance networking. Pre and post event promotions extend visibility beyond the summit. Past sponsors have called DES an environment where meaningful conversations and real demand emerge.

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Why DES 2026 is a must-attend

The Data Engineering Summit 2026 brings together the people who build the infrastructure behind every AI system. Engineers, architects, CTOs and platform leaders come to DES for clarity, depth and practical insights. The future of enterprise data belongs to teams that understand both the complexity of data and the velocity of AI. DES creates the environment where these teams can learn, compare and advance together. May 14 and 15 in Bengaluru will mark the next chapter of this journey.

Register today at DES 2026 >

The post Data Engineering Summit 2026 Bengaluru Set to Redefine the Future of Enterprise Data appeared first on Analytics India Magazine.

India fluttered a few feathers when it launched the ambitious IndiaAI Mission on March 7, 2024 – two months after China’s AI chatbot DeepSeek-R1 was launched. A knee-jerk reaction or a well-thought-out strategy, it’s hard to tell. But most experts called it the much-needed nudge for the Indian administration to give the country an AI edge.

Despite the ₹10,372-crore IndiaAI Mission significantly boosting national compute capacity, the country still faces capital limitations and a shortage of deep, high-end AI research needed to compete with global leaders. Experts, too, have repeatedly raised concerns over the actual impact of the mission. Yet the government maintains that a homegrown DeepSeek-class model is within reach, citing its rapid distribution of thousands of top-tier chips to startups, universities, and researchers — aimed at enabling a breakthrough model in under 10 months.

According to Stanford HAI’s Global AI Vibrancy Index, which ranks countries on metrics such as patents, funding, policy and research, India lags far behind the US and China in many key areas. Both China and the US already have a four to five-year head-start, having made heavy investments in research and academia and developed AI for military applications, law enforcement and homegrown large language models (LLMs).

Plus, India’s AI mission is worth a trifling $1bn compared with the staggering $500bn the US has earmarked for Stargate—a plan to build massive AI infrastructure in the US, or China’s reported $137bn initiative to become an AI hub by 2030.

In such a scenario, how fast the country gets its own LLM is a question everyone seeks an answer to.

Not Quite Enough

While the GPU capacity is secured with the Mission already pooling 34,000 GPUs of the planned 38,000 GPUs, the actual usage of these high-end machines has been slow to take off. Excluding the handful of startups developing foundational models, there is a noted lack of large-scale, high-end research projects that require continuous use of massive GPU clusters. This indicates a mismatch between the infrastructure now being deployed and the research community’s ability to leverage it effectively.

Raising serious concerns about various aspects of the mission, serial entrepreneur K Ganesh, who is also the promoter of Bigbasket, Bluestone, Homelane, and Portea Medical, said that so far, none of the programs of IndiaAI Mission have shown results. “There haven’t been any models produced from GPUs from the grants. Almost all of the grants are purely computational. Hence, [I] do not see any impact yet.”

He agreed that while the GPU capacity is secure, the actual usage of these machines has been slow to take off, “because many GPU providers are new datacentres still facing teething issues.” According to Ganesh, GPU compute is only one piece of the puzzle. For India to reach a globally competitive level, the country’s top players will need to raise their game across talent, operational maturity, and risk appetite, he said.

Challenges remain, particularly in achieving population-scale AI adoption and developing indigenous LLMs, said Anurag Dua, partner, government and public sector, EY India. “Above all, a focused and coordinated R&D effort, backed by adequate funding, is essential to spur innovation and create affordable technologies capable of scaling across India,” he added.

Dua advised that in the long run, a balanced approach, consisting of industry-led innovation and government-led adoption for the public good, would be the right approach to help achieve the economic and social objectives.

Another area where the mission has struggled to make progress is closing the AI talent gap. A 2024 Deloitte-Nasscom report, while declaring that India is positioned to become a global AI powerhouse by 2030, states, “However, to truly harness this potential, the focus must shift towards not just quantity but the quality of AI talent. By reskilling the existing workforce and fostering new talent through robust government-academia-industry collaboration, we can ensure a steady pipeline of professionals ready to lead AI-driven innovation.”

The Talent Tussle

Despite initiatives to broaden AI education in India, a substantial skills gap remains, with only a small portion of the workforce trained in advanced AI. Low broadband penetration in rural India further widens this divide, limiting both the reach and equitable adoption of AI solutions nationwide.

Considering the talent gap, the IndiaAI Mission launched the FutureSkills pillar to expand AI education at multiple levels. The initiative has reportedly enrolled about 8.6 lakh candidates in AI and related skilling/training programmes. There’s also a plan to build 570 AI & data labs in non-metros to decentralise education and AI infrastructure. However, there’s no official figure as to the completion of these labs.

Shortage of deep‑AI researchers, PhD programs, and high-level mentorship persists outside elite institutions. Abhishek Upperwal, CEO and founder atSoket.AI, one of the startups selected by the IndiaAI mission to build LLMs, said, “There are very few people in India with firsthand experience building 100-billion or trillion-parameter models. Most of those experts are abroad, and we can’t realistically expect access to them for developing our own LLMs. What we can do is build capacity step by step.” He suggested that a researcher who has experience training a 1-billion-parameter model and understands language modelling can, over time, figure out how to scale to 100-billion-parameter systems.

“Even in my own team, no one has built a 100-billion-parameter model before. We began with a 1-billion model, we’re currently working on a 7-billion model, will move next to a 40-billion model, and eventually graduate to 100 billion,” Upperwal said.

Experts have also raised concerns over the absence of a dedicated, comprehensive AI-specific data protection law, raising questions about how the mission will ensure the ethical and secure use of large, sensitive datasets being developed under the AIKosha platform. Though the DPDP Rules, 2025, were notified on November 14, bringing the framework to life, it is said to be less stringent and comprehensive compared to “gold standard” regulations like the European Union’s General Data Protection Regulation (GDPR). Critics debate its effectiveness due to broad government exemptions and a less independent regulatory body.

The Story So Far

Apart from onboarding 12 startups across two phases and enabling their access to compute, datasets, and incubation support, the IndiaAI Mission has also carried out several early groundwork initiatives.

It has acquired 34,000 GPUs, empanelled service providers to host and manage the hardware, rolled out data/AI labs, training programmes, and fellowships to grow AI talent nationwide. The AIKosha platform — one of the seven pillars of the mission — has been made operational, providing researchers access to datasets and models.

Work on tools, frameworks, and oversight mechanisms for responsible AI deployment have begun, though details are not out in public yet.

While the intent of the Mission seems to be in the right place, the lack of a pan-India strategy, resource allocation, and timely innovations may prove to be a dampener in achieving the overall impact.

“Because something of this scale and type is being tried for the first time, the processes weren’t known to anyone. Initially, there was a lot of confusion. I hope things get better and smoother with time,” Upperwal said.IndiaAI Mission did not respond to AIM’s queries until the time of publishing.

The post A Year Later, Is IndiaAI Mission Delivering Enough? appeared first on Analytics India Magazine.

Elon Musk’s satellite-internet venture Starlink has finally revealed the pricing for its residential plan in India, signalling that the long-awaited commercial rollout is now imminent. The company has updated the Starlink India website to list a monthly subscription fee of ₹8,600 (250 Mbps), in addition to hardware costing ₹34,000, for its Residential tier.

The service promises unlimited data, a 30-day trial, and 99.9% uptime, with Starlink claiming users will experience disruption-free connectivity even in adverse weather conditions. The company, which received a five-year licence from India’s Department of Telecommunications (DoT) in July, is positioning itself as a connectivity solution for remote and underserved regions of the country.

Starlink’s India push also comes with an operational expansion. In late October, SpaceX began hiring for its Bengaluru office, posting roles such as payments manager, accounting manager, senior treasury analyst and tax manager. Additionally, reports indicate Starlink plans to set up gateway earth stations across several Indian cities, including Chandigarh, Hyderabad, Kolkata, Lucknow, Mumbai and Noida. These ground stations will relay signals between satellites and user terminals on the ground, enabling stable, low-latency connections.

India vs US: How the Pricing Compares

In the United States, Starlink currently charges $80 per month (250 MBPS) for residential service, roughly ₹7,200 at current exchange rates. Hardware in the US costs $599 (about ₹50,000).

This indicates Starlink’s monthly subscription in the US is slightly cheaper than in India. However, the hardware cost in India (₹34,000) is significantly lower than the US price, a gap that may help boost adoption in price-sensitive markets. Still, relative to average household income, Starlink remains a premium service in India, likely aimed at users in remote geographies with limited broadband alternatives rather than urban customers with cheaper fibre options.

Awaiting Business Plan Details

While the residential plan is now listed, Starlink has not yet revealed the pricing for its business tier, which generally offers higher speeds and priority connectivity, and is expected to cost substantially more. The company is likely to announce those details closer to the commercial rollout.

With more than 10,000 satellites launched globally, Starlink continues expanding its constellation and footprint. India, with its vast rural connectivity gaps, represents a significant market — and the pricing signals that SpaceX is ready to compete.

The post Starlink Sets India Residential Subscription at ₹8,600 Per Month Ahead of Launch appeared first on Analytics India Magazine.

CognitiveLab has launched NetraEmbed, a new multimodal multilingual document retrieval model that supports 22 languages and the company claims delivers about 150% improvement over existing baselines.

The announcement was shared on December 8, along with the release of NayanaIR, an open source multilingual benchmark, and a preprint of the supporting research paper titled “M3DR: Towards Universal Multilingual Multimodal Document Retrieval”.

Adithya S Kolkavi, founder of CognitiveLab, said on X, “We are a Small Research Lab based out of India and we just dropped a one of a kind SoTA multimodal multilingual document retrieval model.”

The company in the blog post said NetraEmbed scores 0.716 on cross lingual retrieval tasks, up from the previous best of 0.284. It also records 0.738 on monolingual search. The model processes documents as images rather than relying on OCR, which helps it preserve charts, tables, diagrams, and layout.

It supports 22 languages covering English, Spanish, French, German, Italian, Hindi, Marathi, Sanskrit, Kannada, Telugu, Tamil, Malayalam, Chinese, Japanese, Korean, Arabic, Bengali, Gujarati, Odia, Punjabi, Russian, and Thai.

CognitiveLab said the model brings cross lingual document search from barely functional to production ready.

CognitiveLab also introduced ColNetraEmbed, a multi-vector variant that offers token level explanations. NetraEmbed uses compact embeddings at about 10 KB per document, compared to about 2.5 MB in traditional systems, enabling large scale indexing for enterprises.

The model offers flexible embedding sizes at 768, 1536, and 2560 dimensions without retraining.

The NayanaIR benchmark covers 23 datasets with nearly 28000 document images and more than 5400 queries and is designed for both monolingual and cross lingual evaluation.

The launch is part of CognitiveLab’s Nayana initiative focused on multilingual and multimodal document intelligence. Future models under the initiative will move beyond retrieval into deeper understanding and question answering across languages.

Both models are available on Hugging Face.

The post CognitiveLab Unveils NetraEmbed With 22 Languages & 150% Jump in Document Accuracy appeared first on Analytics India Magazine.

IBM is close to finalising a roughly $11 billion acquisition of data-infrastructure firm Confluent, according to a Wall Street Journal report, in what would be the tech giant’s biggest bet yet to strengthen its cloud software and AI ambitions.

The deal, which could be announced on December 8, the report noted, would give IBM control of Confluent, a widely adopted real-time data streaming platform that enables organisations to build, manage, and operate real-time data streaming applications at scale. Built on the open-source streaming platform Apache Kafka, companies across sectors use Confluent’s platform to process everything from bank transactions to website clicks.

The company’s latest offering, Confluent Intelligence, aims to help enterprises build and scale context-rich and real-time AI systems.

AIM reached out to Confluent but did not receive a response at the time of publishing.

The potential takeover comes at a pivotal moment for IBM, which is under investor pressure to reinvigorate growth in its cloud software division. Despite IBM posting a 9% year-on-year growth in its topline in its third quarter, its stock slipped 6% on extended trading following the earnings results as investors grew wary about slowing momentum in core cloud offerings, raising concerns over its long-term trajectory.

Confluent, valued at about $8.09 billion, has been exploring a sale and has hired an investment bank to manage the process after receiving interest from potential buyers, according to a Reuters report.

IBM, meanwhile, holds a market capitalisation of roughly $287.84 billion.

A successful acquisition would extend IBM’s M&A strategy under CEO Arvind Krishna, who has sharpened the company’s focus on cloud and software.

Last year, IBM acquired HashiCorp in a $6.4-billion deal aimed at expanding its cloud-native and automation capabilities amid rising enterprise spending on AI.

The interest in Confluent underlines the accelerating demand for data infrastructure platforms as companies race to build and deploy generative AI systems. In a similar move earlier this year, Salesforce agreed to buy Informatica for about $8 billion to enhance its AI-driven data stack.

The post IBM in Talks to Buy Confluent for $11 Bn in Cloud, AI Push: Report appeared first on Analytics India Magazine.

HCLTech has partnered with French semiconductor company Dolphin Semiconductor to co-develop energy-efficient chips targeting Internet of Things (IoT) and data centre applications, the company said in a statement.
Dolphin Semiconductor provides mixed-signal semiconductor intellectual property (IP) solutions for sectors including power management, audio, power metering, and design safety, serving industrial, high-performance computing, consumer electronics, IoT, and automotive markets.

Under the partnership, HCLTech will integrate Dolphin Semiconductor’s low-power semiconductor IPs into its system-on-chip (SoC) design and development workflows.

With this collaboration, HCLTech aims to deliver scalable, high-efficiency SoCs that reduce power consumption while maintaining performance across demanding workloads, India’s third-largest IT services company noted in a statement.

HCLTech added that it hopes to help enterprises respond to rising energy costs, sustainability requirements and the growing complexity of connected systems, including AI-driven workloads in data centres and edge computing environments.

“By partnering with HCLTech, we will be able to extend the reach of our low-power IP to more applications and customers than ever before,” said Pierre-Marie Dell’Accio, executive vice president of engineering at Dolphin Semiconductor.
“This partnership will help us push the boundaries of energy-efficient computing, whether it is for IoT devices or data centre ecosystems,” Dell’Accio added.

Hari Sadarahalli, corporate vice president and head of engineering and R&D services, HCLTech, noted, “As AI workloads surge, data grows exponentially, and sustainability becomes a top priority, our collaboration with Dolphin Semiconductor will empower our clients to lead with agility, high performance and a strong commitment to environmental responsibility.”

The companies did not disclose the financial terms of the partnership or any timeline for commercially launching the energy-efficient chips.

HCLTech has been reaching out to chip makers to augment its semiconductor and software design capabilities.

Earlier this year, it shook hands with semiconductor major AMD to develop solutions across AI, digital, and cloud.

Last year, the IT services company partnered with Arm, which offers high-performance and power-efficient intelligent processors, to leverage its custom silicon chips for supporting AI-driven business operations.

In 2024, it also collaborated with CAST, a semiconductor IP cores provider, to enable original equipment manufacturers to accelerate their automation journeys.

The post HCLTech, Dolphin Semiconductor to Co-develop Energy-Efficient Chips appeared first on Analytics India Magazine.

IBM and Riyadh Air have announced a partnership to introduce Riyadh Air, claiming to be the world’s first AI-native airline. Built entirely from the ground up without old patchwork systems, these AI-driven operations establish a new standard for enhancing guest and employee experiences while redefining innovation in the aviation sector.

Riyadh Air is leveraging IBM Consulting’s extensive industry knowledge and technical capabilities, a wide partner network, and IBM watsonx Orchestrate to function as an AI-native entity from the outset.

According to the announcement, initial flights are already in progress, and its first commercial service is anticipated in early 2026.

“By embedding AI into the very foundation of its operations, Riyadh Air is setting a new blueprint for what it means to build a modern, adaptive enterprise from the ground up,” said Mohamad Ali, senior vice president at IBM Consulting.

Riyadh Air is remoulding its travel experience by integrating generative and agentic AI into its operations to create seamless interactions between technology and human service. A personalised digital workplace will support employees with a chat-first platform for streamlined HR processes as the airline plans to double its workforce.

AI-powered mobile applications will enhance the employee and guest journey, using IBM watsonx Orchestrate to develop a proactive concierge experience that anticipates guest needs. Additionally, AI-driven voice bots and agent-assist tools will enable customer care agents to deliver personalised support, enhancing the traveller experience while upholding human values.

“We had a clear choice: be the last airline built on legacy technology or the first built on the platforms that will define the next decade of aviation,” said Adam Boukadida, chief financial officer at Riyadh Air.

According to the statement, the two companies have partnered to establish an AI-driven enterprise with the digital strategy and operational models to extend Saudi Arabia’s connectivity to over 100 destinations, serving millions of travellers by 2030.

The post Riyadh Air Partners with IBM to Bring Agentic AI to Commercial Flights by Early 2026 appeared first on Analytics India Magazine.

Explore Adobe Acrobat online PDF editor >

PDFs have long been the document standard for everything from resumes and government forms to business contracts and academic submissions. Their polished look and universal compatibility make them a go-to format. But when it comes to editing, things get tricky.

Editing a PDF often means dealing with unsecure third-party sites, running into compatibility issues, or fighting with tools that don’t really do what you need. This is where Adobe Acrobat’s free online PDF editor can help.

Adobe Acrobat offers an easy-to-use online PDF editor, right in your browser. It removes the barriers to PDF editing. It makes it possible for anyone to quickly add or remove text, annotate with comments or highlights, fill out forms, sign digitally, and more, without the need to install any software or sign up for a subscription.

Let’s explore why PDF editing has become essential, how Acrobat’s free online PDF editor makes it simple and accessible, and why upgrading to Adobe Acrobat Studio may be the right move for advanced needs.

Why Editing PDFs is More Important than Ever

Speed and flexibility make all the difference in today’s fast-paced workflows. From reviewing proposals to sending out critical reports and everything in between, the ability to edit PDFs on the go keeps projects moving forward. Seamless PDF editing, powered by advanced AI capabilities, supports smooth collaboration, reduces bottlenecks, and ensures all document needs keep pace with constantly evolving demands.

Everyday applications make this crystal clear. The Indian government is promoting efficiencies through paperless governance to simplify how documents are issued, stored, and shared through initiatives like DigiLocker, e-invoicing, and e-signing. As a result, more small businesses are moving their operations online and embracing digital workflows. In this digital-first environment, the ability to quickly edit documents is more important than ever.

Editing a PDF online saves time, cuts down on hassle, and helps you get polished results faster. No app installations, no device compatibility issues and no clunky workarounds. Just simple, seamless editing directly in your browser.

What is Adobe Acrobat’s Free Online PDF Editor?

Adobe Acrobat’s online PDF editor is an easy-to-use browser-based tool designed to make PDF editing simple, accessible, and secure.

Because it is entirely web-based, there is no need to install additional software. It works on both desktop and mobile, so you can open your PDF, make changes, and download the updated file wherever you are. The experience is smooth, consistent, and beginner friendly. With just a few clicks, you can open your file, make edits, and download your final version.

One thing that sets Adobe apart from others is the confidence that comes with using its PDF tools. Unlike unfamiliar apps or unverified solutions, Acrobat’s online editor is backed by Adobe’s long-standing reputation for document security and authenticity. You can edit with peace of mind knowing your files are handled with care and without the risks that often come with unreliable third-party software.

Key features of Adobe Acrobat’s Online PDF Editor

Even as a free tool, Adobe Acrobat’s online PDF editor comes packed with features. Here are some of them:

1. Give feedback.

Share your thoughts by adding sticky notes, adding text directly to the file, leaving suggestions, and tagging teammates to collaborate.

1. Annotate.

Insert text boxes anywhere in your PDF with custom fonts and formatting to suit your needs.

1. Highlight important sections.

Emphasise important text in multiple colours and attach notes to provide extra context.

1. Add markups.

Use freehand drawings, lines, or shapes in different colours and styles to bring attention to key points.

1. Fill and sign.

Complete digital forms by filling in fields, ticking boxes, and adding your name and signature.

1. Share with anyone.

Share a secure link to your PDF so anyone can view, comment, and collaborate without fuss.

Aside from these, Adobe has also made additional PDF editing tools available for free with no login required:

• Convert PDF to Word – Transform static PDFs into fully editable Word documents, eliminating the need for manual retyping and copy-pasting.
• Merge PDFs – Combine multiple PDFs into a single, organised document and save yourself from the hassle of juggling different files.
• Compress PDFs – Shrink large PDF files without losing quality or readability, making it easy to share documents via email or file-sharing portals.

How to use Adobe Acrobat’s Online PDF Editor.

Not sure how to edit a PDF file online? It is easy to use, even for beginners.

1. Go to Adobe Acrobat’s Online PDF Editor.
2. Choose a PDF to edit by clicking the “Select a file” button above or drag and drop a file into the drop zone.
3. Once Acrobat uploads the file, sign in to add your comments.
4. Use the toolbar to add text, sticky notes, highlights, drawings and more.
5. Download your annotated file or get a link to share it.

You will need to log in before you can start editing your PDF files.

Adobe Acrobat Studio: for tasks that go beyond the basics.

Adobe Acrobat’s free online PDF editor is great for quick edits, annotations, and sharing. But for small businesses looking to scale operations, streamline workflows, automate routine processes, access an exhaustive collection of design elements, or unlock AI-powered productivity, Adobe Acrobat Studio opens the door to an even more powerful set of features designed for professional and business use.

Here is why you might want to upgrade to Acrobat Studio:

• Unlock advanced AI capabilities.

Go beyond simple document manipulation. With Acrobat Studio, you can chat with your PDF for quick takeaways, summarize your PDFs for instant overviews, and create PDF spaces for an all-around knowledge and working hub.

• Strengthen safety and security.

Protect your work with enhanced security. Add or remove passwords, encrypt sensitive files, and control exactly who can view, copy, print, or edit your documents.

• Scale with your growing needs.

Acrobat Studio is designed to grow with you. It comes with the most comprehensive set of PDF tools, a prebuilt AI Assistant to help you reach your goals faster, and a design space powered by Adobe Express Premium for custom, high-quality images and templates. It has everything you need, whether you are jumpstarting your business or taking your operations to the next level.

Editing PDFs online: quick, easy, on the go.

With more of our work and everyday tasks happening online, it is safe to say that there is still a consistent need for effective PDF editing tools.

Adobe Acrobat’s online PDF editor proves that essential editing tools do not need to be complicated. You can highlight, comment, fill out forms, and sign documents right from your browser, without installing anything. It brings simplicity and flexibility straight to your browser, so that everyday document tasks can be done quickly and smoothly.

And when you are ready to go further, Adobe Acrobat Pro gives you the tools you need to work at a professional level.

Got questions? Check out the FAQs below:

How can I edit a date in a PDF file online?

To edit a date in a PDF, open the file using Adobe Acrobat’s free online PDF editor. Click on the text you want to change and simply type in the new date. Once done, save the file.

Can I edit PDFs on mobile for free?

You can edit PDFs right from your mobile browser using Adobe Acrobat’s online PDF editor, no downloads needed. Alternatively, you can view, comment on, and sign PDFs for free using the Adobe Acrobat Reader mobile app, available on both Android and iOS.

Is Adobe’s free online PDF editor secure?

Adobe encrypts your uploaded files and runs everything in a secure cloud environment. Whether you are editing a GST invoice, a job offer letter, or an Aadhaar verification form, Adobe helps your data stay private and protected.

Why is Adobe asking me to subscribe?

Some features, such as AI Assistant, are only available in Adobe Acrobat Studio. If you try to use one of these tools, Adobe may prompt you to upgrade. You can start with a free 7-day trial to explore all features.

The post Why Free PDF Editing with Adobe Acrobat’s Online PDF Editor is a Game Changer appeared first on Analytics India Magazine.

Google has introduced Gemini 3 Deep Think mode within the Gemini app, offering advanced reasoning capabilities for complex problem-solving. “Gemini 3 Deep Think is now available in the Gemini app,” wrote Tulsee Doshi, senior director of product management, in an announcement on December 4.

The new mode is available to Google AI Ultra subscribers and is designed to handle complex math, science, and logic queries. Users can access the feature by selecting “Deep Think” in the prompt bar and choosing Gemini 3 Pro from the model menu.

According to Google, Gemini 3 Deep Think demonstrates strong performance on benchmarks such as Humanity’s Last Exam, where it scored 41% without tools, and ARC-AGI-2, where it reached 45.1% with code execution.

The system uses parallel reasoning to test multiple hypotheses, building on earlier Deep Think variants that performed well in competitions like the International Mathematical Olympiad and the ICPC World Finals.

Google recently launched the broader Gemini 3 lineup, positioning it as a step toward more capable AI systems. The company said Gemini 3 Pro outperforms Gemini 2.5 Pro, OpenAI’s GPT-5.1, and Anthropic’s Claude Sonnet 4.5 across benchmarks, including LMArena, Humanity’s Last Exam, GPQA Diamond, and MathArena Apex.

With expanded multimodal inputs, extended context windows and new planning tools, Google said Gemini 3 can be applied to tasks such as analysing research papers, translating handwritten documents, generating visualisations, and evaluating sports performance.

The company also said Search’s AI Mode now includes generative UI features and interactive simulations.

The post Google Launches Gemini 3 Deep Think Mode for Ultra Subscribers appeared first on Analytics India Magazine.

The Telangana government announced on December 4 an extensive plan to transform Hyderabad into a ‘Quantum City’ and presented India’s long-term quantum strategy, aiming to establish the state as a key national and international hub for quantum technologies.

Speaking at the launch of NITI Aayog Roadmap for Quantum and the Telangana Quantum Strategy (TQS), the state’s IT minister, Sridhar Babu, said that quantum technology has the potential to be as revolutionary in this century as electricity and the internet were in previous ones.

He stated that the state government has adopted a targeted, long-term vision to ensure that Telangana becomes a global frontrunner in quantum technologies, AI, and cutting-edge digital systems.

“The NITI Aayog Quantum Roadmap is aligned with Telangana Rising 2047, the state’s vision to become a $3 trillion economy by 2047,” Mallu Bhatti Vikramarka, the deputy chief minister of Telangana, said, as reported by The New Indian Express.

The government will also establish a centre of excellence in quantum technologies as a national benchmark for research and skills development. Starting next financial year, a Fund of Funds will support deep-tech startups and emerging tech companies, as Babu announced.

Additionally, several media outlets reported that the state is establishing a Young India Startup Fund of Rs 1,000 crore, with a special focus on quantum and AI startups.

The strategy aims to enhance research infrastructure, cybersecurity, life sciences innovation, and human capital while promoting research in quantum computing, communication, sensing, and cryptography.

According to the state’s press release, the framework serves as a guiding roadmap for India’s engagement with quantum science and technology.

“With this launch, quantum technology will bring faster and deeper transformation across all sectors than any other technology and will also heavily influence national security, economic size and future growth,” Vikramarka added.

Similarly, the Karnataka government reportedly approved land in September in Hesaraghatta for a Quantum City (QCity) to establish Bengaluru as the “quantum capital of India.”

QCity will include advanced laboratories, quantum hardware production hubs, a high-performance computing data centre, and incubation facilities to support startups and foster collaboration between industry and academia.

The post Telangana Reveals Strategy Plans for Establishing Hyderabad as ‘Quantum City’ appeared first on Analytics India Magazine.