Nitor Infotech

Highlights Manual testing can't keep pace with the complexity of modern data pipelines, which is why teams are turning to CI/CD to bring the same automated rigor used in software engineering to data. A well-built pipeline moves changes through source, bui

Highlights Private AI is fast emerging as an important pillar for Enterprise AI, and Small Language Models (SLMs) are one of the main reasons for that. Since SLMs are orders of magnitude smaller than the frontier LLMs, they can be deployed on premises, on

Highlights Every ISV in 2026 is chasing the same trade-off: ship AI features fast, but don't blow up the cloud bill or the latency budget. Small language models (SLMs) are how many are pulling it off - compact, task-specific models that run closer to the

Highlights Multimodal Generative AI combines text, images, audio, video, documents, code, and other data types to enable AI systems to understand and generate information across multiple modalities. It supports richer context, cross-modal reasoning, intel

Highlights Small Language Models + RAG are reshaping how teams build efficient, context-aware AI applications. But what happens when a smaller model needs to work with constantly changing organizational knowledge and when to choose a smaller model over a

Highlights This blog explores a challenge many organizations are beginning to face: building an impressive agentic AI pilot is one thing, but scaling it economically is another. Swaraj Kokare describes that the real barrier to production adoption is often

Highlights LangSmith helps development teams build and operate reliable LLM applications and AI agents with capabilities for tracing, evaluation, observability, deployment, and continuous improvement. Key areas include understanding AI workflows, evaluati

Highlights AI model pricing has collapsed 90-97% in 18 months, and yet most teams are still defaulting to frontier LLMs for tasks that a well-tuned SLM could handle at a fraction of the cost. In this blog, we break down the actual cost drivers behind AI i

Highlights REST APIs are stateless, scalable, and built on simple HTTP methods (GET, POST, PUT, DELETE, PATCH). They're easy to use across platforms, follow clear design principles (resource-based URLs, JSON, versioning), and remain core to microservices,

Highlights AI can write code in seconds, but great software still depends on sound software engineering decisions. The most successful teams use AI to accelerate development without compromising architecture, security, testing, or maintainability. Rather