Год: 2025

AIM organises some of the tech industry’s most impactful conferences to bring together experts and innovators from various fields. These events cover a broad spectrum of topics, from promoting diversity and inclusion in technology to delving into the latest breakthroughs in generative AI.

Whether you’re a data engineer, AI startup founder, developer, or corporate leader, AIM’s conferences provide important opportunities to learn, connect, and stay at the forefront of the advancing tech landscape.

We have cherry-picked the top 10 talks from the 2024 AIM conferences, which offer exclusive insights into the future of AI, the challenges it presents, and how India is positioning itself as a global leader in the field.

1. ‘Is GenAI for Real’ by Zerodha CTO Kailash Nadh

At Cypher 2024, Zerodha CTO Kailash Nadh expressed his scepticism about the timeline for achieving Artificial General Intelligence (AGI), calling claims of its arrival in two to five years “unrealistic”. He attributed the definition of AGI to Western AI companies and pointed out that it has always been “five years away”. He dismissed such predictions as likely motivated by business or valuation reasons.

Nadh also highlighted the vital role of open-source technology in the generative AI boom. He noted that open-source tools and models often outperform proprietary ones and also mentioned that Zerodha is using large language models (LLMs) to automate certain tasks. On the topic of AI and jobs, Nadh reassured that Zerodha would not allow job losses due to AI.

2.‘Lessons in Bravery, Integrity & Leadership for Tech Professionals’ by Kiran Bedi

At Rising 2024, Kiran Bedi, who became India’s first woman Indian Police Service (IPS) officer, shared her journey and insights on women’s success in male-dominated fields. Bedi explained that her first priority was always her career and making herself self-reliant and self-sufficient. Despite the challenges of working in the IPS, where women were underrepresented and faced discrimination, Bedi said she never questioned her abilities and confidently pursued her goals.

Discussing the low representation of women in leadership roles, Bedi pointed out that lack of career prioritisation and family support were key barriers. She recalled how her parents supported her through difficult times.

Bedi highlighted that women need to plan and manage their personal lives effectively and advised that motherhood and family life should be carefully managed to avoid conflicts with career goals.

3. ‘India Proves Sam Altman Wrong!’ by Former Tech Mahindra CEO CP Gurnani

At the MachineCon GCC Summit 2024, CP Gurnani, co-founder of AIonOS and former CEO of Tech Mahindra, challenged OpenAI CEO Sam Altman’s claim that India couldn’t develop its own LLMs.

Gurnani revealed that Tech Mahindra developed an Indian LLM for local languages and over 37 dialects in just five months with a budget of under $5 million.

Gurnani used companies like IndiGo and Airtel as examples of how they have competed with giants like Jio to discuss how India’s success hinges on “frugal innovation.” He also introduced his new venture, AIonOS, which aims to disrupt industries like travel and logistics through AI.

Tech Mahindra also launched Project Indus, an indigenous LLM focused on Indic languages and dialects to improve linguistic inclusivity in AI.

4. ‘Scaling AI for Billions: The Indian Perspective’ by Wadhwani AI CEO Shekar Sivasubramanian

At Cypher 2024, Wadhwani AI CEO Shekar Sivasubramanian discussed the concept of applied AI and the challenges of working in India’s vast and diverse ecosystem.

He pointed out that applied AI lies in bridging the gap between the chaotic, unstructured AI ecosystem and the rigorous, systematic research world. In India, deployment must come before AI development with a focus on solving real-world problems rather than abstract ones.

Sivasubramanian also highlighted the importance of a “market-of-one” approach, where AI solutions are tailored to specific needs, particularly in government and rural settings.

He outlined the differences between designing AI for ‘India’ – the urban, well-connected population – and ‘Bharat’ – where users often have limited experience with technology. He stressed that AI must be simple, intuitive, and practical for everyday users.

5. ‘Navigating Data Chaos: Using Gen AI to Extract Structured Insights from Unstructured Customer Data’ by NoBroker Data Sciences and Engineering Director Zaher Abdul Azeez

At AIM’s Data Engineering Summit 2024, Zaher Abdul Azeez, director of data sciences and engineering at NoBroker, discussed the potential of GenAI in transforming customer-facing services by extracting valuable insights from unstructured customer data, such as conversations.

Azeez pointed out that customer conversations, which tend to be subjective and informal, are extremely valuable for businesses, particularly those centred around customer experience. Traditional methods of analysing these interactions are manual and labour-intensive. However, GenAI, especially LLMs, offers a more efficient solution by understanding and processing unstructured data from these conversations.

6. ‘Generative AI and the Road to Singularity’ by Tech Whisperer Founder Jaspreet Bindra

At MLDS 2024, Jaspreet Bindra, founder of Tech Whisperer and CEO of Ai&Beyond, opened his keynote by exploring the concept of singularity and its implications for AI. He raised the question of whether AI could surpass human intelligence to become self-sufficient and leave humans obsolete.

Bindra delved into the varying predictions of AGI timelines. He cited experts like Sam Altman and Ray Kurzweil, who have different definitions and timelines for AGI’s arrival, ranging from 2026 to 2030.

7. ‘The Next Tech Superpower: How India Can Lead the World in AI Innovation’ by Former Infosys CFO Mohandas Pai

At Cypher 2024, former Infosys CFO and board member Mohandas Pai spoke about the growing technological partnership between India and the United States, positioning them as leading global digital powers. He contrasted this collaboration with China’s isolation due to its restrictive digital firewall, which limits outside influence and internal connectivity with the global tech ecosystem.

Pai drew attention to the close ties between Bengaluru and Silicon Valley, as well as their shared innovation culture and extensive research collaborations. Although Bengaluru boasts the world’s largest talent pool of chip designers, testers, and embedded software professionals, with over 3.50 lakh experts, Pai noted that the city requires more capital and competitive investment to maximise its potential.

Despite political differences, Pai described the US and India as “connected at the hip” in technology, serving as a “force multiplier” for mutual growth. In contrast, he criticised Delhi for its lack of progress on domestic issues like pollution.

8. ‘Powering India’s AI-First Ambitions With Shakti Cloud’ by Yotta CEO Sunil Gupta

Sunil Gupta, co-founder, managing director and CEO of Yotta, spoke at AIM Cypher 2024 and shared key developments regarding the company’s advancements in AI infrastructure.

Yotta, backed by the Hiranandani Group, had made significant progress in acquiring GPUs to support the AI boom in India. Last year, the company announced plans to acquire 32,000 NVIDIA GPUs over the next two years and had already secured 16,000 NVIDIA H100 GPUs.

As an elite NVIDIA partner, Gupta shared that Yotta’s partnership had ensured access to the latest GPUs. This enabled the company to meet a wide range of AI use cases in India, from developing large-scale models to smaller ones.

9. ‘Voice Based AI Agents’ by Sarvam AI Co-Founder Vivek Raghavan

At Cypher 2024, Sarvam AI co-founder Vivek Raghavan discussed the company’s mission to develop voice-based AI solutions tailored to Indian languages and dialects.

He highlighted that India’s culture of conversation drives its focus on voice-led models in local languages. Raghavan demonstrated Sarvam’s voice agents, which operate via telephone and WhatsApp, allowing users to interact in languages like Kannada and Hindi for tasks such as booking appointments and customer support.

10. ‘Impact Investing in AI Merging Profit with Purpose’ by Ronnie Screwvala

At Cypher 2024, upGrad co-founder Ronnie Screwvala talked about how AI can help India achieve its Viksit Bharat vision by 2047 by aiming for a GDP growth from $3.4 trillion to $30 trillion.

He said that AI should be seen as a tool for enhancing capabilities rather than a threat. Screwvala stressed the importance of AI in maximising intellectual property creation and fostering innovation.

Read: 6 Must-Attend Conferences for Developers by AIM in 2025

The post Top 10 Talks from AIM Conferences in 2024 appeared first on Analytics India Magazine.

India introduced its first-ever GCC policy at the 2024 Bengaluru Tech Summit with an aim to bring in 1,000 GCCs, generate 3.5 lakh new jobs, and hit $50 billion in economic output by 2029. Karnataka alone already hosts more than 875 GCCs – around 30% of India’s total. The state employs 6 lakh people and contributes $22.2 billion annually.

According to an AIM Research report, third-party companies or GCC enablers play a crucial role in the successful establishment and operation of GCCs. Their expertise simplify the complex process of setting up a GCC, from selecting the right location to navigating regulatory frameworks, ensuring infrastructure readiness, and recruiting talent.

These firms provide specialised knowledge and local insights, which help multinational corporations minimise risks, reduce setup time, and lower operational costs.

Moreover, third-party facilitators bring valuable industry experience and networks, thereby facilitating a smoother integration of the GCC into the global operations of the parent company. By using their expertise, companies can focus on their core business while ensuring their GCC runs efficiently.

According to AIM Research, top PeMa (penetration and maturity) Quadrant GCC service providers in India include ANSR, EY, PWC, HCL, Deloitte and KPMG.

“As of today, GCCs are close to around $34 billion in terms of net economic value…We expect that they have the potential to grow to almost $75 to $80 billion by 2025. More importantly, the economic value that they add to India as a country is far higher – almost three times the direct revenue that comes from the GCCs,” Gaurav Gupta, GCC industry lead of Deloitte India, said in a podcast with ET Now.

Highlighting some policy-related hurdles, he further said, “One is from a policy perspective. While we have had some incentives that were given to the GCC sector almost 10 years ago, over a period of time…they’ve gone away. To try and attract more GCCs to India, we need to look at what other incentives can be provided.”

Talent remains a big focus

“India has been a great talent story, but the talent needs of GCCs are evolving. We need to see what new skill sets are required and ensure we bridge the demand-supply gap there,” Gupta said.

GCC enablers have stepped in to fill these gaps. Deloitte India helps GCCs become innovation centres by offering consulting on digital transformation, nurturing start-up collaborations, and focusing on futuristic tech.

According to Deloitte, focusing on innovation and advanced technology is becoming a necessity for every business.

Meanwhile, when it comes to start-ups, accessing global markets via GCCs using their domain expertise and brand reputation, and accessing the physical and virtual infrastructure of GCCs are among the many perks of such partnerships.

Management consulting firm Zinnov, established in 2002, has been recognised for helping Fortune 500 companies with market entry, product engineering, and scaling operations.

Nilesh Thakker, president of Zinnov, and Karthik Padmanabhan, managing partner of GCCs in Zinnov, stressed, “True ownership in tech means owning the whole process – from strategy to design, building, and updating. It’s a call for GCCs to step up, create more value, and lead in global innovation.”

The firm’s expertise spans automation, AI, and technology consulting. It offers services such as GCC setup and roadmap design, talent strategy, digital transformation, operational optimisation, location analysis, and governance.

Zinnov also provides specialised solutions like the GCC Blueprint Model for launching and expanding global centres, its Talent 360 Platform for workforce planning, and ongoing Zinnov Zones reports for comprehensive service provider evaluations.

EY, on the other hand, was recognised as the leader for GCC/GIC Setup Capabilities in India in Everest Group’s PEAK Matrix® Assessment 2024.

“With a team of 10,000 practitioners, including former GCC CXOs, EY is supporting international organisations set up and evolve their GCCs/GICs by transforming them into innovation-driven centres of strategic value,” Kunal Ghatak, global business services partner at EY India, said.

Meanwhile, ANSR, a global leader in establishing and operating GCCs for enterprises, stated, “ANSR is redefining India’s role on the global stage. By enabling over 135 GCCs and driving $2 billion in investments, ANSR is at the forefront of fostering innovation, nurturing talent, and catalysing growth for global enterprises.”

Digital services company and GCC tech enabler GlobalLogic has also noticed a major shift. “A lot of companies in the last couple of years have started empowering the GCCs,” Piyush Jha managing director of GlobalLogic India and APAC said in an interview with AIM.

“Since we have specialised ourselves in the product development space for the last 22-23 years, it becomes very natural for us to start getting into synergistic motions with these GCCs.”

Emerging Nano GCC Space

Suchita Vishnoi, co-founder and CMO at gatewAI, explained to AIM that starting in 2024, the company – a GCC enabler – decided to “change the way GCCs are coming to India. She added that gatewAI shifted the focus from old-school IT outsourcing to an “AI era” approach.

Instead of competing solely on cost, gatewAI aims to offer “GCC as a service with AI-enabled service offerings” and zeroes in on “nano GCCs”, typically teams with five to 50 employees.

“We say we are born in the AI era. We are not born in the IT outsourcing era…which makes us very nimble, very agile, very new age in the way we are adaptive to the requirements that any GCC brings,” Vishnoi further said.

According to her, NASSCOM has predicted the number of GCCs to reach 2,200 by 2030.

“That’s a huge opportunity for us…We have a strong five-year window to capitalise and help a lot of the nano GCCs, the small and medium-sized businesses (SMBs) that want to set up innovation hubs here in India.”

In short, it’s a new age for GCCs in India. Companies want more than just cheap labour; they’re looking for a place to build products, develop cutting-edge tech, and tap into world-class talent.

“Any company that’s coming to India for the first time will say, ‘I need groundwork research done so that I know that the foundation I’m setting is for success’,” Vishnoi concluded.For policymakers, enablers, and GCCs themselves, the future is about collaboration, creative solutions, and continuous innovation. After all, the path to hitting that ambitious $50 billion mark, and beyond, will rely on how quickly they can adapt to changing tech trends and talent needs, one GCC at a time.

The post GCC Enablers Pave the Way for India’s $50 Billion Economic Output Goal appeared first on Analytics India Magazine.

NVIDIA made a host of new announcements through a keynote speech from its CEO delivered at CES 2025 in Las Vegas on Monday.

The main event was the GeForce RTX 50-series, the company’s first flagship desktop GPU offering in over two years. The graphics cards are powerful enough to run AI models and can multiply gaming frame rates by up to eight times with DLSS 4 neural rendering technology.

Additionally, Jensen Huang, wearing his signature leather jacket, unveiled a new NVIDIA supercomputer for AI researchers, a modality for humanoid robots that allows them to learn by imitation, a world foundation model platform, and a partnership with Toyota for autonomous vehicles.

GeForce RTX 50-series desktop GPUs

The most advanced of the new GeForce series is the RTX 5090, with 92 billion transistors and delivering 3,352 trillion AI operations per second.

“The GeForce RTX 50 Series delivers breakthroughs in AI-driven rendering, including neural shaders, digital human technologies, geometry and lighting,” NVIDIA claims in a press release.

The RTX 5090 will start at $1,999, marking a $400 increase over its predecessor, the RTX 4090, but it is also twice as fast. The RTX 5080 delivers 1,800 TOPS and will start at $999. Both will be available from Jan. 30.

The RTX 5070 Ti provides 1,400 TOPS, similar to the RTX 4090, and will cost $749. Meanwhile, the RTX 5070 offers 1,000 TOPS at $549. Both will be available in February.

Acer, ASUS, Dell, HP, Lenovo, and Razer have designed laptops that include the new RTX 50-series. Devices featuring all chips will be available in March except for RTX 5070 laptops, which will launch in April.

“Fusing AI-driven neural rendering and ray tracing, Blackwell is the most significant computer graphics innovation since we introduced programmable shading 25 years ago,” Huang said in the speech.

Personal supercomputer for AI researchers

On top of the new chip series, NVIDIA introduced the world to its personal AI supercomputer; Project DIGITS. This is intended to be used by AI researchers, data scientists, and students to “supercharge AI innovation,” according to NVIDIA.

The DIGITS computer contains the GB10 Grace Blackwell superchip, composed of a GPU and 20-core CPU, which delivers up to a petaflop of computational power. It can run large language models of up to 200 billion parameters — the number of parameters is generally proportional to performance capacity.

Complete with 128GB of memory, up to 4TB of flash storage, and NVIDIA’s DGX operating system, the computers will be available in May. It will start at $3,000.

Imitation capability for humanoid robots

In March 2024, NVIDIA unveiled GR00T — a general-purpose foundation AI model for humanoid robots. At CES 2025, Huang announced a new modality, or blueprint, for GR00T that allows it to learn by imitation.

In other words, individuals will be able to act out movements they want the robot to perform, it will capture them as a digital twin, and then execute them repeatedly. This can all be done using an Apple Vision Pro headset.

The idea is that the technology will make it easier to educate large fleets of robots deployed in manufacturing settings. “Physical AI will revolutionize the $50 trillion manufacturing and logistics industries. Everything that moves — from cars and trucks to factories and warehouses — will be robotic and embodied by AI,” Huang said.

This new blueprint complements the blueprint for Real-Time CAE Digital Twins launched in November, which facilitates the creation of interactive simulations for engineering applications. Both leverage NVIDIA’s Omniverse platform for real-time 3D collaboration.

In addition, Huang unveiled other blueprints that can build custom AI agents for enterprises with NVIDIA NIMs: microservices containing the APIs, domain-specific code, optimized inference engines, and enterprise runtime needed to run generative AI. He also announced the Llama Nemotron family of open large language models to assist with creating and deploying agents. TechRepublic predicted at the end of the year that the use of AI agents will surge in 2025.

World foundation models for robotics

Huang announced a new platform for “world foundation models.” These AI models are inspired by how humans form their mental models of the world, called Cosmos. The first Cosmos models released are designed specifically for robotics, focusing on “physics-based simulation and synthetic data generation.”

“Cosmos WFMs are purpose-built for physical AI research and development, and can generate physics-based videos from a combination of inputs, like text, image and video, as well as robot sensor or motion data,” according to NVIDIA.

SEE: NVIDIA: Blackwell Architecture Will Accelerate AI Products in Late 2024

They will all be trained on 9,000 trillion tokens, or pieces of video data, including 20 million hours of data from autonomous driving, robotics, human interactions, and other domains. Companies such as Uber and Wayve have already committed to using Cosmos models for use cases including self-driving vehicles.

The Cosmos models will be available publicly through NVIDIA, GitHub, and Hugging Face.

Autonomous driving partnership with Toyota

Finally, Huang announced a new partnership between NVIDIA and Toyota to develop next-generation autonomous vehicles. Toyota’s upcoming models will incorporate NVIDIA’s DRIVE AGX Orin supercomputer and DriveOS operating system.

This news comes shortly after autonomous vehicle companies Aurora and Continental announced a partnership to scale up the deployment of driverless trucks using NVIDIA DRIVE. Huang projected NVIDIA’s automotive revenue to reach $5 billion in his keynote.

“The autonomous vehicle revolution has arrived, and automotive will be one of the largest AI and robotics industries,” he said in a press release.

At CES 2025, NVIDIA unveiled the GeForce RTX 50 Series, the latest GPUs developed for gamers, creators, and developers. Using the Blackwell architecture, the RTX 50 Series delivers improved performance and efficiency through AI-driven innovations like neural shaders and DLSS 4.

The RTX 50 series, revealed during a CES keynote, includes the RTX 5090, 5080, 5070 Ti, and 5070. The GeForce RTX 5090 will be available starting January 30 for $1,999, while the other models are priced between $999 and $549, with launches scheduled for February.

The flagship GeForce RTX 5090 GPU offers a significant leap in power, featuring 92 billion transistors and over 3,352 trillion AI operations per second (TOPS). According to NVIDIA, the RTX 5090 GPU doubles the performance of its predecessor, the RTX 4090.

“Blackwell, the engine of AI, has arrived for PC gamers, developers, and creatives,” said Jensen Huang, founder and CEO of NVIDIA. “Fusing AI-driven neural rendering and ray tracing, Blackwell is the most significant computer graphics innovation since we introduced programmable shading 25 years ago.”

The GPUs are equipped with fifth-generation Tensor Cores and fourth-generation RT Cores, enabling advanced capabilities such as RTX Neural Shaders and DLSS 4. The latter features Multi Frame Generation, which uses AI to generate up to three frames per rendered frame, boosting frame rates by up to 8x over traditional rendering.

NVIDIA announced that the RTX 50 Series is now available for laptops, providing desktop-level performance in a portable form. With NVIDIA Max-Q technology, battery life is extended by up to 40% without compromising on design or performance. Laptops featuring RTX 50 Series GPUs will roll out from March.

To improve realism in game characters and environments, NVIDIA introduced RTX Neural Faces and other AI-driven features. RTX Neural Faces uses generative AI to create high-quality, stable digital faces in real time, while RTX Mega Geometry allows for up to 100x more ray-traced triangles in scenes.

The GPUs also power autonomous game characters through NVIDIA ACE technologies. These characters can perceive, plan, and act, creating dynamic interactions in games such as PUBG: BATTLEGROUNDS and the upcoming InZOI.

RTX 50 Series GPUs support FP4 precision, optimising AI image generation and enabling generative AI models to run efficiently on local hardware. New tools, such as NVIDIA Broadcast’s Studio Voice and Virtual Key Light, further enhance creative workflows.

The post NVIDIA Launches GeForce RTX 50 Series with Blackwell Architecture appeared first on Analytics India Magazine.

Dell has announced a lineup of new AI PCs, combining cutting-edge generative AI performance with a sleek, streamlined naming convention. Drawing inspiration from Apple’s playbook, Dell’s new tiers — Dell (basic version), Pro, and Pro Max — simplify choices while showcasing the company’s push for innovation and user-friendly design.

In addition to the name changes and new products, Dell solidified its partnership with AMD on Jan. 6 ahead of CES 2025 in Las Vegas.

“To make finding the right AI PC easy for customers, we’ve introduced three simple product categories to focus on core customer needs,” Kevin Terwilliger, VP and GM of the Latitude and Docking business within Dell’s client product group, wrote in a press release.

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Visit Website Company Size Employees per Company Size Micro (0-49), Small (50-249), Medium (250-999), Large (1,000-4,999), Enterprise (5,000+) Medium (250-999 Employees), Large (1,000-4,999 Employees), Enterprise (5,000+ Employees) Medium, Large, Enterprise Features 24/7 Customer Support, 360 Degree Feedback, Accounting, and more

Introducing Dell, Pro, and Pro Max

One aspect of Dell’s branding that remains unchanged is how laptop sizes are indicated, with the new lineup including 13, 14, and 16-inch models. However, familiar brand names like XPS and Inspiron have been replaced — or streamlined, depending on perspective — into simplified categories: Dell, Pro, and Pro Max.

• Dell will include laptops and PCs for student, personal, or entry-level business use.
• Pro adds more powerful GPUs (from Intel or AMD), and NPUs for generative AI processes.
• Pro Max is intended for heavy-duty professional use and adds the option of AMD’s Threadripper processor. AI inference and training can run on Pro Max devices.

Time will tell whether these categories — along with the further divisions into base, Premium, and Plus options — make it easier to tell which laptop is right for particular use cases.

The first devices to use the new naming scheme are:

• The Dell Pro 13/14 Premium Copilot PC.
• The Dell Pro 13/14/16 Plus.
• The Dell Pro 14/16.
• Dell Pro desktops.
• Dell Pro Max 14/16.
• Dell 14/16 Plus & Dell 14/16 Plus 2-in-1.
• Dell Pro Max desktops.

The new laptops will be available throughout the winter, with staggered releases depending on the tier:

• Dell Pro 13, 14 Premium, Dell Pro 14 Plus, and Dell Pro 16 Plus became available on Jan. 6.
• Dell Plus will come out on Feb. 18.
• Dell Pro 13 Plus will be released on Feb. 25.
• Dell Pro Max and Dell Pro 13, 14, and 16 Plus will become available in March or April.

Two new 4K displays are coming in 2025

Dell announced two new displays at CES:

• Dell UltraSharp 32 and 27 4K Thunderbolt Hub Monitors for professional use, available globally on Feb. 25.
• Dell 32 Plus 4K QD-OLED Monitor for entertainment, including AI-enhanced sound, available globally on May 22.

SEE: AMD introduced new Ryzen chips for faster AI, plus a novel Radeon line for gaming and content creation, at CES 2025.

AMD and Dell enter commercial partnership

Dell became a commercial partner with AMD for the first time. This means corporate Dell PCs — specifically the Dell Pro tier — will use AMD Ryzen AI PRO processors.

“We’re incredibly proud to collaborate with Dell on the next generation of commercial PCs powered by the AMD Ryzen AI PRO processors,” said Jack Huynh, SVP and GM of the computing and graphics group at AMD, in a press release. “Ryzen AI PRO CPUs are built to handle today’s workflows and tomorrow’s AI demands, and when combined with the power of a Dell PC, they create the perfect combination for the enterprise.”

The partnership potentially comes at the expense of Intel, which has been relegated to Dell’s lower consumer tiers.

TechRepublic is covering CES 2025 remotely.

Ahead of the Panchayat to Parliament 2.0 event, Lok Sabha Speaker Om Birla conducted a live demonstration of the Sansad-Bhashini Speech-to-Speech translation system. The test, carried out in collaboration with the Bhashini team, included the participation of women representatives from Panchayats.

Birla demonstrated how the Sansad-Bhashini system aims to enable seamless, real-time speech translations during the event, ensuring effective communication across language barriers. The initiative is expected to enhance inclusivity by allowing all participants to engage without linguistic constraints.

In the LinkedIn post, Bhashini powered translation system was able to offer Hindi-to-six regional languages translation in almost real-time with minimal latency. The languages include Telugu, Tamil, Gujarati, Odia, Marathi, and Malayalam.

The government’s AI-powered language translation platform, Bhashini, is also translating the daily agenda papers of the Parliament into 10 regional languages. The team has already translated around 1,000 debates into Hindi and English by digitising 18,000 hours of speech data.

Amitabh Nag, the CEO of Bhashini, said in a post that this is the beginning of a historic co-creation journey with Indian Parliament for Sansad-Bhashini.

Earlier last year, Bhashini also announced that it is powering the Kumbh Sahayak App for Maha Kumbh Mela 2025. The chatbot which would run on WhatsApp would be powered by the Bhashini and Krutrim, offering information in over 10 languages.

In July 2024, Bhashini translated Finance Minister Nirmala Sitharaman’s Union Budget 2024 speech into Hindi in real-time. This initiative aimed to make the budget presentation more accessible to a wider audience across the nation’s diverse linguistic landscape.

Bhashini, which has recently reduced its translation lag from 6 seconds to 1-2 seconds, provided simultaneous captions during the Finance Minister’s budget speech. This technological advancement is expected to enhance understanding and engagement with the budget among non-Hindi-speaking citizens.

The post Bhashini Powers Lok Sabha Speaker’s Real-Time Translation System Ahead of Panchayat to Parliament 2.0 appeared first on Analytics India Magazine.