Artificial Intelligence Azure Customer Support 
Clouded Judgement
FEBRUARY 7, 2025
These seem like perfect fits for LLM based applicatiosn. Signal can come from many places (sales team notes, customer support tickets, etc) IT Incident Management: Similar to the security alert example. Perfect for a LLM! There are so many of these workflows out there today, and many of them are quite manual.
How To Buy Saas
MAY 26, 2025
Retrieval-Augmented Generation (RAG) is a cutting-edge approach in AI that combines large language models (LLMs) with real-time information retrieval to produce more accurate and context-aware outputs. Think of a standard LLM as a very smart student who has learned a lot of general information.
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How To Buy Saas
MAY 27, 2025
The era of large language models (LLMs) is booming. In 2025, foundation models or generative AIs like GPT-4, Claude, Gemini, and open-source LLaMA are reshaping AI research, software development, and SaaS products. 405B) ranks 2nd in math/reasoning, 4th in coding, 1st in instruction-following among open models.
Andreessen Horowitz
MARCH 21, 2024
One company cited saving ~$6 for each call served by their LLM-powered customer service—for a total of ~90% cost savings—as a reason to increase their investment in genAI eightfold. Here’s the overall breakdown of how orgs are allocating their LLM spend: 3. Cloud is still highly influential in model purchasing decisions.
User Pilot
FEBRUARY 6, 2023
H2O Driverless AI uses machine learning workflows to help you make business and product decisions. It has capabilities such as feature engineering, data visualization, and model documentation – all with the help of artificial intelligence.
User Pilot
JULY 28, 2024
For instance, a data analyst at a company focused on customer support might prioritize analyzing customer feedback and support ticket data to identify areas for improvement in service delivery. Utilize cloud-based data platforms (AWS, Azure, Google Cloud) for scalable data storage, processing, and analysis.
Stax
APRIL 18, 2024
Customer Support In-house support teams maintain direct relationships with end-users for assistance. Support through an in-house or outsourced central system, often leveraging robust support infrastructures like self-service portals, chatbots, and knowledge bases. Some may use cloud platforms for online solutions.
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