Artificial Intelligence (AI) has entered a new era where large language models (LLMs) power everything from chatbots and copilots to knowledge retrieval and compliance automation. These massive models, such as GPT-4 or Gemini, have demonstrated groundbreaking capabilities. But their size also creates challenges: they require enormous compute resources, high costs, and specialized infrastructure that most …
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Enterprises today are no longer asking if they should adopt generative AI — they are asking how to adopt it safely and strategically. Large Language Models (LLMs) are powering everything from intelligent agents and search to knowledge management and automated documentation. But for many organizations — particularly in healthcare, banking, pharma, defense and manufacturing — …
The rapid growth of generative AI has redefined how enterprises handle customer engagement, automate processes, and extract value from data. Yet, as businesses rush to integrate large language models (LLMs) into their workflows, a critical question arises: where should these models be deployed? Public LLM APIs like OpenAI or Anthropic offer agility, but they introduce …
Hiring an AI partner can transform your business, but choosing the wrong company can cost time and money. You need a partner who understands your goals, systems, and industry. Asking the right questions upfront helps you avoid mistakes and ensures you get the AI solutions your business needs. In this guide, you’ll find the 10 …
AI agents are in high demand in 2025. Companies are no longer relying only on simple chatbots. They want intelligent agents that can manage tasks, make decisions, and improve workflows. You see this shift in every industry—healthcare, finance, retail, and enterprise operations. AI agents are becoming part of daily business. Here’s the problem: building the …
Credit scoring has long been the backbone of lending decisions for banks, NBFCs, and fintechs. Traditional models—like FICO or CIBIL—depend heavily on historical repayment data, static rules, and rigid scoring frameworks. While these models served their purpose, they often fail to provide real-time, holistic, and fair evaluations of borrowers in today’s dynamic financial environment. This …
Financial institutions today face unprecedented pressure to comply with global regulations. With $4.3 billion in penalties levied in 2024 by U.S. regulators and record fines in India (e.g., Paytm Payments Bank fined ₹54.9 million), compliance has become both a cost center and a strategic necessity. Traditional compliance frameworks, heavily dependent on manual checks and static …
Artificial Intelligence (AI) is no longer just a buzzword—it’s a business necessity. Organizations across industries are rethinking how they engage customers, optimize operations, and scale growth with AI-powered solutions. At AIVeda, we specialize in delivering custom AI solutions tailored to industry needs. Whether you’re looking to deploy AI chatbots, build enterprise LLMs, create generative content, …
The e-commerce industry has grown rapidly in recent years, and so have customer expectations. Today’s shoppers demand instant support, personalized recommendations, and seamless buying experiences. Traditional customer service models often fall short, as human agents cannot scale efficiently to meet 24/7 global demand. This is where AI chatbots for e-commerce are transforming the landscape. From …
If you’re running a fintech startup, managing a digital lending platform, or leading innovation at a financial institution, you’ve probably asked yourself: “How do we keep our systems secure?” It’s a critical question—and for good reason. As technology becomes the backbone of financial services—from online transactions to digital wallets—the security risks multiply exponentially. Hence, a …