Blog Inero Software
Implementing an AI-Powered Telephony Service Center with ElevenLabs & LiveAPI Over the past year, advancements in real-time AI models and high‑fidelity speech synthesis have accelerated the development of AI-driven telephony systems. At Inero, we’ve had the opportunity to integrate modern telephony solutions with LiveAPI technology and ElevenLabs’ voice engine to…
Secure Email Delivery in Keycloak 26.2 Using XOAUTH2 Email has been one of the oldest and most fundamental services on the internet, used for notifications, password resets, verifications, and more. Over time we’ve seen major improvements — encryption via TLS, then STARTTLS, and now many providers are moving away from…
Introduction Shipping single sign‑on quickly is tempting. Stakeholders push for a smooth login experience, developers want to move on to core features, and security teams are eager to tick the “MFA enabled” box. The trouble is that identity and access management (IAM) decisions outlive launch days. Once you choose a…
In the publication “Intelligent Agents in AI Really Can Work Alone. Here’s How.” by Gartner, the authors predict that by 2028, 33% of business applications will use agentic artificial intelligence, compared to less than 1% in 2024. This development will enable autonomous decision-making for up to 15% of daily operational…
In this post we discuss the types of costs associated with using dedicated LLMs and present example calculations for popular models (such as GPT-4, Claude, Mistral, LLaMA, etc.), including business use case scenarios.
Artificial intelligence and Large Language Models are buzzwords heard in nearly every industry. Many companies are wondering how to use them safely and which solution will be the most effective. There are plenty of options—and they’re often hard to tell apart. In this article, we break them down in a clear and easy-to-understand way.
In this article, we’ll break down the data privacy policies of top AI platforms. You will also learn what to do to ensure your data is not used for training Large Language Models (LLM).
In this post, we’ll explore several top open-source lightweight LLMs and how to run them on a local Windows PC—whether CPU-only or with a limited GPU—for document processing tasks.
This article explains what to focus on before deploying an AI agent, which areas of the business need to be well-prepared, and how to avoid common mistakes.
Whether you’re building a custom chatbot, agent, an AI-powered code assistant, or using AI to analyse documents offline, local deployment empowers you to experiment and innovate without relying on external services.
