#GenAI in India

[apacnewsnetwork0]

GenAI in India: Tech Industry Partnerships Catalyze Adoption

The likes of IBM, Tech Mahindra, Google Cloud, Netapp, Deloitte, ServiceNow and the likes are all jumping into the GenAI bandwagon. APAC News Network explores the dynamics of some of these partnerships.

GenAI or Generative AI is fast gaining grounds in India, especially in terms of acceptance by different stakeholders. These include the different enterprises across different verticals using GenAI in different facets of their businesses. Another stakeholder has been the Indian GenAI-based SaaS startups whose numbers too are rapidly rising every year. Add to this the IT services giants and software giants who too are jumping into the GenAI bandwagon. Last but not the least, the government too is supporting the GenAI revolution with proactive policy formation and creating appropriate implementation environment in the country.

Worldwide there is an explosion in the number of Gen AI-native SaaS companies and a surge in investment capital, with over $12 billion funneled into 60+ emerging domains in FY23 alone. The Indian players, on the other hand, raised $590 million in funding during the same time period.  While globally there are 259 generative AI startups as of 2024, in India there are around 20+ pure-play generative AI startups.

Also Read More Here : https://apacnewsnetwork.com/2024/04/genai-in-india-tech-industry-partnerships-catalyze-adoption/

[affairsmastery]

India's Volkai, developed by Kairosoft AI Solutions, is making waves as a culturally intelligent, affordable alternative to global AI platforms like DeepSeek, ChatGPT, and Midjourney. Launched in 2025, Volkai integrates text and image generation, offering cutting-edge AI tools tailored for the Indian market.

𝐖𝐡𝐲 𝐕𝐨𝐥𝐤𝐚𝐢 𝐒𝐭𝐚𝐧𝐝𝐬 𝐎𝐮𝐭:

𝐀𝐟𝐟𝐨𝐫𝐝𝐚𝐛𝐥𝐞 & 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐞𝐝 for mid-range devices, making AI accessible to startups, students, and small businesses

𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐞𝐝 𝐓𝐞𝐱𝐭 & 𝐈𝐦𝐚𝐠𝐞 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧 for seamless content creation in marketing, education, and e-commerce

𝐂𝐮𝐥𝐭𝐮𝐫𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞—creates India-specific content, understanding dialects, traditions, and regional nuances

[generativeaitraining]

Generative AI and Predictive AI: Comparing Two Powerful Technologies

Artificial Intelligence (AI) is transforming industries at an unprecedented pace. Among the many AI advancements, Generative AI and Predictive AI stand out as two of the most impactful technologies. While both leverage AI to process and analyze data, they serve vastly different purposes. This article will break down their definitions, how they work, key differences, applications, and their potential future impact. Generative AI Training

What is Generative AI?

Generative AI is a branch of artificial intelligence that focuses on creating new content, data, or outputs. It learns from vast amounts of data and uses that knowledge to generate original text, images, audio, and even videos.

How Generative AI Works

Generative AI models rely on advanced machine learning techniques like deep learning and neural networks. Some well-known Generative AI models include:

GPT (Generative Pre-trained Transformer): Creates human-like text, used in chatbots and content generation.

DALL·E: Generates realistic and artistic images from text descriptions.

Stable Diffusion: Produces high-quality AI-generated images. Gen AI Online Training

Applications of Generative AI

Generative AI is widely used across various industries, including:

Content Creation: Writing articles, blog posts, scripts, and marketing copy.

Art and Design: Generating artwork, illustrations, and design elements.

Healthcare: Assisting in drug discovery and medical imaging.

Gaming and Entertainment: Creating characters, music, and even entire game worlds. Generative AI Training

What is Predictive AI?

Predictive AI, also known as predictive analytics, is an AI-powered technology designed to analyze past data and make future predictions. It uses statistical algorithms and machine learning to forecast outcomes based on patterns in historical data. Gen AI Online Training

How Predictive AI Works

Predictive AI models function using:

Machine Learning Algorithms: Such as regression analysis, decision trees, and neural networks.

Data Mining: Extracting meaningful patterns from structured and unstructured data.

Big Data Analytics: Processing large datasets to uncover trends and make predictions.

Applications of Predictive AI

Predictive AI is highly valuable in industries that rely on forecasting, including:

Finance: Stock market analysis, fraud detection, and risk assessment.

Healthcare: Predicting disease outbreaks and patient diagnoses.

Retail: Demand forecasting and personalized recommendations.

Manufacturing: Predictive maintenance to prevent equipment failures.

Generative AI vs Predictive AI: Key Differences

While both technologies utilize AI and machine learning, they serve distinct purposes. Here’s a comparison:

Feature

Generative AI

Predictive AI

Purpose

Creates new content and data

Predicts future outcomes based on past data

Core Function

Content generation

Data forecasting

Examples

ChatGPT, DALL·E, Stable Diffusion

Forecasting tools, fraud detection, medical diagnosis

Industries

Media, Art, Marketing, Gaming

Finance, Healthcare, Retail, Manufacturing

Data Usage

Learns from datasets to generate new outputs

Analyzes historical data to predict trends

The Future of Generative AI and Predictive AI

Both Generative AI and Predictive AI will continue to evolve and shape various industries. Some potential future developments include:

Enhanced Creativity: Generative AI will produce even more realistic and sophisticated content.

Improved Accuracy: Predictive AI will refine its forecasting capabilities with better data and algorithms.

AI Synergy: The combination of both technologies could lead to AI systems that generate solutions while predicting their outcomes.

Conclusion

Understanding Generative AI vs Predictive AI is crucial as both technologies are revolutionizing industries in different ways. Generative AI is transforming creative fields, while Predictive AI is optimizing decision-making and forecasting. As AI continues to evolve, businesses and individuals can leverage both technologies to enhance innovation and efficiency.

Visualpath is the Leading and Best Institute for learning in Hyderabad. We provide Generative AI Online Training Course. You will get the best course at an affordable cost.

Call on – +91-7032290546

Visit: https://www.visualpath.in/online-gen-ai-training.html

[mindsofbrands]

Marketing World Powered by AI 🤖 Step into a realm where artificial intelligence transforms imagination into reality. This futuristic vision is not tomorrow—it’s happening now. 🌌 AI is reshaping how we connect, create, and market in ways we never dreamed possible. Ready to lead the charge? 💡

Know more about us @ https://mindsofbrands.com & Lets Connect @ connect@mindsofbrands.com

[thecioconnect]

India Leads Global Generative AI Adoption: 81% of Enterprises Implement Solutions

India emerges as a leader in AI, with 81% of firms adopting GenAI for efficiency in sectors like healthcare and finance, driving innovation and investment.

[dhallblogs]

10 Profitable Indian Startups: A SWOT Analysis.

The steady growth of the Indian economy and the spurt in consumer index has given rise to numerous startups or online-native companies over the last decade or so. Some of these companies garnered recognition from consumers and international investors and soon became giants. For some, after the initial euphoria of high valuations and brand equities, they have got mired in controversies. There are a few who have moved silently and are today witnessing profits on their bottomlines.

ALSO READ MORE- https://apacnewsnetwork.com/2024/07/10-profitable-indian-startups-a-swot-analysis/

[pebblegalaxy]

Deloitte and Yotta Data Services Revolutionize AI Development in India with GenAI Collaboration

Deloitte and Yotta Data Services Revolutionize AI Development in India with GenAI Collaboration #Deloitte #YottaData #GenAI #NVIDIA #GPUcomputing #AI #digitaltransformation #India

Deloitte India and Yotta Data Services have forged a transformative alliance to propel India’s AI landscape forward. This collaboration leverages Deloitte’s profound expertise in artificial intelligence (AI) and Yotta’s state-of-the-art GPU cloud platform to empower businesses and governments in India to develop innovative GenAI applications. As India embarks on a digital transformation journey,…

[gadgetsforusesblog]

Sangam partner with Jio to carry forward the development of Genai use cases in India

The US-Heddd data streaming has partnered with Jio Cloud Services with Jio platform Luent Cloud. The company said on Tuesday, “Confluent, Inc., Data Streaming Pioneer, today announced that it has signed a strategic partnership with Jio Cloud Services with Jio Platform Limited.” Also Read: Reliance Jio Partners to launch web3, blockchain solutions in India with pologon labs Extension of access to…

[live-news-daily]

GenAI to boost India’s IT industry’s productivity by up to 45%, EY India survey shows

Title: India’s $254-Billion Software Industry to Get a 43-45% Productivity Boost from Artificial Intelligence Introduction: A recent survey by consulting firm EY India predicts that the increasing use of generative artificial intelligence (GenAI) could significantly boost the productivity of India’s $254-billion software industry over the next five years. According to the survey, this…

[dailyreportonline]

GenAI to Boost India's IT Industry's Productivity by Up to 45 Percent, EY India Survey Shows | Daily Reports Online

The increasing use of generative artificial intelligence (GenAI) could boost the productivity of India’s $254-billion software industry by 43 percent-45 percent over the next five years, according to a survey by consulting firm EY India. This productivity boost, which EY India’s survey states will span 500 roles, will come through the dual effect of the IT industry itself integrating elements of…

[newsxbyte]

GenAI to Boost India's IT Industry's Productivity by Up to 45 Percent, EY India Survey Shows

The increasing use of generative artificial intelligence (GenAI) could boost the productivity of India’s $254-billion software industry by 43 percent-45 percent over the next five years, according to a survey by consulting firm EY India. This productivity boost, which EY India’s survey states will span 500 roles, will come through the dual effect of the IT industry itself integrating elements of…

[marketsndata]

India High-Frequency Trading Servers Market Report 2032

India high-frequency trading servers market is projected to witness a CAGR of 7.08% during the forecast period FY2025-FY2032, growing from USD 43.02 million in FY2024 to USD 74.36 million in FY2032. The high-frequency trading (HFT) server market is developing rapidly in the country, owing to increased liquidity in financial markets, driving the trend forward. This is because HFT companies are mainly involved in facilitating trade and attracting more investors to it. Another significant reason is technological changes, particularly related to low-latency trading systems and high-speed networks, which develop the efficiency of HFT strategies and are more attractive to traders. India’s overall regulatory environment is conducive to HFT firms. The increased number of retail investors and easy access to trading platforms has created an increased demand for more advanced solutions. Big data analytics enables HFT firms to make the right decisions and, thereby, optimize their trading. With the development of new financial products and a more integrated global market, HFT strategies are diversifying and becoming more complicated. Scalability and flexibility are further enhanced using cloud computing. Corporations benefit from high-level resources with small capital investments without worrying about maintaining the infrastructures as per their evolving needs. These factors thus form a competitive landscape, leading to continuous investments in high-performance servers and contributing to the healthy growth of the market.

High-frequency trading servers are highly specialized, high-performance computing systems that process an enormous number of orders at incredible speeds. Such HFT servers are designed to provide very low latency and seize small movements in the financial markets based on fast trades leveraging extensive algorithms and quantitative analysis. In May 2024, Wipro Limited, the largest global information technology, consulting, and business process services company, announced a collaboration with Microsoft to bring a set of cognitive assistants for financial services powered by generative AI. Through the characteristic use of GenAI features, these cognitive assistants will empower banking and financial professionals with deep market insights and timely, relevant information on investment products and investor behavior.

Increasing Market Liquidity to Drive Market Growth

A key driver for the growth of the HFT server market is increased liquidity. More participants are trading, whether retail or institutional investors, increasing the demand for rapid and efficient execution of trades. HFT firms improve liquidity by providing continuous buy and sell orders, thus stabilizing prices and reducing volatility. This dynamic environment requires high-performance servers with which HFT firms must invest to handle vast amounts of data and execute trades with minimal delay. When liquidity improves, it attracts more investors, which would set off a positive feedback loop, perpetuating trading volumes. This competition would compel the firms to refine their algorithms and technology by optimizing their technological capabilities to respond swiftly to the changes in markets. Consequently, the demand for high-end server solutions is bound to continue rising, which will drive further innovation and investment in the market. Increased market liquidity, in general, will make trading opportunities more fruitful and provide a much-needed foundation for growth in the HFT server market. From April 2022 to March 2023, 251.41 thousand new SIPs were registered, which surged to 428.09 thousand from FY2023-FY2024, marking a growth of approximately 70.3%. This significant increase indicates rising investor confidence in mutual funds driven by favorable market conditions and increased financial literacy.

Increased Participation from Institutional Investors to Boost Market Growth

Growth in India HFT servers is significantly fueled by increased participation from institutional investors. As more institutional funds, such as mutual funds, pension funds, and hedge funds, increase their participation, more capital is brought to the market along with more sophisticated trading strategies. Considering real-time execution and powerful analytics amplifying the imperative for low-latency trading solutions, high-frequency trading firms will have to spend their money in high-performance servers with a very short response time that enables them to process huge volumes of transactions quickly and efficiently. HFT firms work for institutional investors to support their trading strategies. Such companies apply algorithms that exploit fleeting market opportunities. Such cooperation boosts liquidity and stabilizes prices, which increases the rigidity of the trading environment. Institutional investors draw more retail traders and increase activities in the markets. As more institutions look for innovation to stay ahead of the competition in trading, the demand for sophisticated HFT infrastructure continues to grow. A two-way relationship occurs between investment by institutions and HFT server capability, fueling market growth and ensuring the coming of new technologies that will dynamically respond to changes in the market. In August 2024, the Indian stock markets reached a significant milestone as the total number of registered investors in the country surpassed 100 million, according to a report by the National Stock Exchange (NSE).

Equity Trading to Dominate Market Share

Equity trading is expected to hold the maximum share in the HFT server market in India going ahead, with the country growing in a fast-paced financial landscape. With higher participation from the retail end and with enhanced interest from institutional investors, equity markets are becoming vibrant and active. Such high trading activities generate enormous demand for advanced infrastructure for HFT when companies seek to capitalize on even small price movements and make trades without creating any perceivable latency. Record trading volumes on NSE and BSE have forced HFT companies to improve their technological thresholds to compete intensely in the market.

Moreover, digitalized equity trading platforms enable a broader spectrum of investors to reach out to equity markets, and hence, the need for advanced algorithms and low-latency servers is getting stringent. This promotes the innovation of trading strategies, and therefore, equity trading would be at the top of HFT activities in India, which would promote the growth of the server market in anticipation of emerging market demands. As of June 2024, the total number of demat accounts reached USD 1.95 million, with 42 lakh new accounts added in the month, reflecting an average monthly addition rate of 34 lakh so far in FY2025. In June 2024, Central Depository Services Ltd. (CDSL) continued to expand its market share regarding the total number of demat accounts.

West and Central to Dominate India High-Frequency Trading Servers Market Share

In the Indian high-frequency trading (HFT) server market, it is expected that the West and Central, especially Mumbai, will lead the way as the city houses India’s financial capital, consisting of the Bombay Stock Exchange and the National Stock Exchange, in its heart, making it the magnetic center of equity trading in India for HFT firms. The concentration of financial activities attracted institutional investors in search of efficient trading strategies and low-latency solutions. This kind of ecosystem encourages a collaborative interface among various technology providers, data analytics firms, and trading companies to innovate and develop high-performance advanced trading infrastructure. Mumbai additionally benefits from a skilled workforce, robust telecom infrastructure, and supportive regulation, which are critical ingredients for HFT. As the market continues to evolve, the West and Central have strategic advantages positioned to be the leaders of high-frequency trading, shifting trends in markets, and technological developments across the country. In September 2024, Oracle Financial Services Software Limited, a technology-based company, built new AI capabilities that will help customers in the sophisticated execution of tasks, automating workflows, and realizing greater efficiencies in the Oracle Fusion Cloud Applications Suite. New AI-driven features in the Oracle application suite will offer unparalleled levels of productivity in domains such as finance, supply chain, human resource, sales, marketing, and service.

Download Free Sample Report

Future Market Scenario (FY2025 – FY2032F)

HFT services will see a vigorous demand triggered by escalating retail and institutional investor participation in trading.

Implementation of AI and machine learning algorithms will create more complex trading strategies and predictive analytics, providing better decision-making tools for firms.

Integrated Indian markets with global financial systems would give way to more international strategies by HFT firms, leading to greater market dynamism in the country.

Report Scope

“India High-Frequency Trading Servers Market Assessment, Opportunities and Forecast, FY2018-FY2032F”, is a comprehensive report by Markets and Data, providing in-depth analysis and qualitative and quantitative assessment of the current state of India high-frequency trading servers market, industry dynamics, and challenges. The report includes market size, segmental shares, growth trends, opportunities, and forecast between FY2025 and FY2032. Additionally, the report profiles the leading players in the industry, mentioning their respective market share, business models, competitive intelligence, etc.

Click here for full report- https://www.marketsandata.com/industry-reports/india-high-frequency-trading-servers-market

Click here for full report-

Contact

Mr. Vivek Gupta 5741 Cleveland street, Suite 120, VA beach, VA, USA 23462 Tel: +1 (757) 343–3258 Email: info@marketsandata.com Website: https://www.marketsandata.com

[timotheusrietbergen]

Nobody in their right mind will use genAI, LLMs in the next 5 years: Meta chief AI scientist Yann LeCun - India Today

LeCun also explains why he thinks the current AI models aren't capable of doing much. He gives four reasons for that. One, he says, the current models lack the awareness and understanding of the physical world. Two, there is a limitation to how much it remembers at once and does not have a continuous memory. Three, it lacks the power of reasoning. And four, it is unable to perform complex planning tasks.

[gadgetsforusesblog]

EY Survey: Report says that Jeanai to increase India's IT productivity by 45 percent

Increasing Artificial Intelligence (GENAI) can produce India’s $ 254 billion over the next Fiv M. I India to 43 percent. The Surveys of The Boost, which states the 500 rolls, will expand the 500 rolls as it first deploys AI-Driven Sliction for Jeanai internal and customers, the Reuters. Also read: Developing more than 100 new general AI agents for customers: Infosys CEO Jeanai’s role in India’s…

[jcmarchi]

Pipeshift Secures $2.5M to Streamline Open-Source AI Deployment

New Post has been published on https://thedigitalinsider.com/pipeshift-secures-2-5m-to-streamline-open-source-ai-deployment/

Pipeshift Secures $2.5M to Streamline Open-Source AI Deployment

Pipeshift has announced a $2.5 million seed round aimed at providing enterprises with the infrastructure needed to efficiently build, deploy, and manage open-source AI models. As more than 80% of companies move toward open-source GenAI, Pipeshift’s solution removes common bottlenecks related to privacy, control, and the engineering overhead of stitching together multiple components.

Revolutionizing MLOps for GenAI

Pipeshift’s new-age Platform-as-a-Service (PaaS) accelerates AI orchestration by offering a modular MLOps stack that runs on any environment—cloud or on-premises. This end-to-end service covers a wide range of workloads, including LLMs, vision models, audio models, and more. Rather than acting as a GPU broker, Pipeshift hands enterprises direct control of their infrastructure, enabling them to:

Scale from day one with in-built autoscalers, load balancers, and schedulers

Fine-tune or distill open-source models in parallel with real-time tracking of training metrics

Save on GPU costs by hot-swapping fine-tuned models without GPU memory fractioning

Maintain enterprise-grade security to keep proprietary data and IP fully in-house

By consolidating these capabilities into a single platform, Pipeshift simplifies deployment workflows and drastically reduces time-to-production.

Strong Industry Backing

The $2.5 million seed round was led by Y Combinator and SenseAI Ventures, with additional support from Arka Venture Labs, Good News Ventures, Nivesha Ventures, Astir VC, GradCapital, and MyAsiaVC. Esteemed angels like Kulveer Taggar (CEO of Zuess), Umur Cubukcu (CEO of Ubicloud and former Head of PostgreSQL at Azure), and Krishna Mehra (former Head of Engineering at Meta and co-founder of Capillary Technologies) also participated.

Arko Chattopadhyay, Co-Founder and CEO of Pipeshift, stated: “2025 marks the year when GenAI transitions into production and engineering teams are witnessing the benefits of using open-source models in-house. This offers high levels of privacy and control alongside enhanced performance and lower costs. However, this is a complex and expensive process involving multiple components being stitched together. Pipeshift’s enterprise-grade orchestration platform eradicates the need for such extensive engineering investments by not only simplifying deployment but also maximizing the production throughput.”

Rahul Agarwalla, Managing Partner of SenseAI Ventures, observed: “Enterprises prefer open-source GenAI for the benefits of privacy, model ownership, and lower costs. However, transitioning GenAI to production remains a complex and expensive process requiring multiple components to be stitched.” He continued: “Pipeshift’s enterprise-grade orchestration platform eliminates the need for such extensive engineering investments by not only simplifying deployment but also maximizing the production throughput.”

Yash Hemaraj, Founding Partner at Arka Venture Labs and General Partner at BGV, remarked:“We invested in Pipeshift because their innovative platform addresses a critical need in enterprise AI adoption, enabling seamless deployment of open-source language models. The founding team’s deep technical expertise and track record in scaling AI solutions impressed us immensely. Pipeshift’s vision aligns perfectly with our focus on transformative Enterprise AI companies, particularly those bridging the US-India tech corridor, making them an ideal fit for our portfolio.”

Why Pipeshift Stands Out

Founded by Arko Chattopadhyay, Enrique Ferrao, and Pranav Reddy, Pipeshift’s core team has been tackling AI orchestration challenges long before this seed funding. Their experience includes scaling a Llama2-powered enterprise search app for 1,000+ employees on-premises, highlighting firsthand how tricky and resource-intensive private AI deployments can be.

Key differentiators include:

Multi-Cloud Orchestration: Pipeshift seamlessly handles a mix of cloud and on-prem GPUs, ensuring cost optimization and quick failover.

Kubernetes Cluster Management: An end-to-end control panel allows enterprises to create, scale, and oversee Kubernetes clusters without juggling multiple tools.

Model Fine-Tuning & Deployment: Engineers can finetune or distill open-source models using custom datasets or LLM logs, with training metrics viewable in real time.

360° Observability: Integrated dashboards track performance, enabling quick troubleshooting and efficient scaling.

Built for Production, Not Just Experimentation

Companies often face limitations with generic API-based solutions that aren’t built for in-house privacy. Pipeshift flips this model by focusing on secure, on-prem or multi-cloud deployments. The platform supports over 100 large language models, including Llama 3.1, Mistral, and specialized offerings like Deepseek Coder. This diverse selection helps meet the specific performance, cost, and compliance needs of each project.

Some notable benefits include:

Up to 60% in GPU infrastructure cost savings

30x faster time-to-production

6x lower cost compared to GPT/Claude

55% reduction in engineering resources

Looking Ahead

Having already collaborated with over 30 companies, including NetApp, Pipeshift plans to further its mission of delivering powerful open-source AI solutions without the usual complexity. Its single-pane-of-glass approach to MLOps, combined with dedicated onboarding and ongoing account management, ensures enterprises can stay focused on leveraging AI for business outcomes rather than wrestling with infrastructure.

With private data protections, hybrid cloud compatibility, and modular flexibility at its core, Pipeshift is poised to meet the diverse needs of enterprise AI projects. By bridging the gap between open-source innovation and enterprise-grade requirements, the company is paving the way for a new era of agile, secure, and cost-effective AI deployments.

Pipeshift offers end-to-end MLOps orchestration for open-source GenAI workloads—embeddings, vector databases, LLMs, vision models, and audio models—across any cloud or on-prem GPUs..