Datta Kharad

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2026-07-21 07:30:07 -

The Generative AI Landscape in 2026: Models, Vendors, and Use Cases
Generative AI in 2026 looks very different from the experimental chatbot market of only a few years ago. The technology has moved beyond answering questions and producing basic content. Modern AI systems can reason across large volumes of information, interpret images and documents, write and test code, operate software tools, conduct research, and complete multi-step business processes. The...

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Datta Kharad hat ein neuen Blog hinzugefügt Networking
2026-07-21 07:23:52 -

10 Prompt Engineering Frameworks You Can Reuse at Work
Generative AI tools can draft emails, summarize reports, analyse information, generate ideas, and support complex business decisions. However, the quality of their output depends heavily on the instructions they receive. A vague Prompt Engineering such as “write a report” gives the AI too much room to guess. A structured prompt explains the objective, context, audience, constraints,...

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Datta Kharad hat ein neuen Blog hinzugefügt Networking
2026-07-21 07:13:38 -

AI Risk Assessment: A Practical Framework for Organizations
Artificial intelligence is moving rapidly from experimentation into everyday business operations. Organizations now use AI to automate customer service, screen job applicants, detect fraud, forecast demand, generate content, support medical decisions, and improve internal productivity. These systems can create significant value, but they also introduce new risks. An AI model may produce...

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Datta Kharad hat ein neuen Blog hinzugefügt Networking
2026-07-21 06:58:35 -

Securing RAG Pipelines Against Data Poisoning
Retrieval-Augmented Generation, commonly known as RAG, has become one of the most practical ways to improve the accuracy and usefulness of generative AI systems. Instead of relying only on information learned during model training, a RAG application retrieves relevant content from external sources and provides it to a large language model before generating a response. This approach allows...

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Datta Kharad hat ein neuen Blog hinzugefügt Andere
2026-07-20 11:22:34 -

Monitoring LLM Applications in Production: Latency, Cost, and Quality
Launching a large language model application is only the beginning. A chatbot, AI assistant, document summarizer, or Retrieval-Augmented Generation system may perform well during development, but production environments introduce real users, unpredictable prompts, changing data, traffic spikes, and strict business expectations. Traditional application monitoring focuses on uptime, server...

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Datta Kharad hat ein neuen Blog hinzugefügt Networking
2026-07-20 11:13:04 -

Chunking Strategies for RAG: Fixed-Size vs. Semantic Splitting
Retrieval-Augmented Generation, commonly known as RAG, allows a large language model to answer questions using information from external sources such as company documents, policies, manuals, knowledge bases, and databases. However, before documents can be stored and retrieved effectively, they usually need to be divided into smaller pieces called chunks. Chunking may appear to be a simple...

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Datta Kharad hat ein neuen Blog hinzugefügt Andere
2026-07-20 10:54:19 -

How Copilot Uses Your Organization’s Data and Why Permissions Matter
Microsoft 365 Copilot is often described as an AI assistant for the workplace, but its real value comes from more than generating text. Copilot can use the information already available across your organization such as emails, documents, meetings, chats, calendars, and contacts to provide responses that are relevant to your actual work. This capability can save employees significant time....

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Datta Kharad hat ein neuen Blog hinzugefügt Andere
2026-07-20 10:42:48 -

Building Your First AI Agent: A Step-by-Step Framework Overview
Artificial intelligence is moving beyond simple chatbots and recommendation systems. Today, organizations are building AI agents that can understand goals, make decisions, use tools, and complete tasks with limited human intervention. From answering customer queries to analyzing reports and automating business workflows, AI agents are becoming practical digital team members. Building your first...

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