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Although Large Language Models (LLMs) like GPT-4 have demonstrated remarkable abilities, they still don’t possess all knowledge in the world. Often, they are prone to hallucinations – false or outdated information – when users need a specific up-to-date response, as their knowledge is limited. 

Cybersecurity threats are evolving faster than ever, often outpacing human teams’ ability to respond. In a typical enterprise, security centers contend with tens of thousands of alerts each week — one study found an average of 22,111 alerts per week, of which roughly half can now be handled autonomously by AI systems.

In a world of cloud computing, Internet of Things, and mobile devices, software applications must handle huge volumes of concurrent users and data events. Slowing down is not acceptable. But traditional programming models seem to reach the limits of their capabilities. 

In today’s multilingual work environments, fast and reliable localization is essential. At SaM Solutions, we recently tackled the challenge of translating a large volume of internal content into English by deploying an AI-driven solution. This case study details how our team leveraged a locally hosted large language model (LLM) to automate translation directly within our […]

Human resources teams are dealing with more complexity than ever before because of digital transformation. Remote and hybrid work arrangements are now common, which means that HR has to manage employees who are spread out across different time zones and cultures. Companies are also having trouble finding enough workers with the right skills, so HR […]

In 2025, an AI “colleague” might just be your hardest-working employee. AI agents in finance – autonomous software programs that handle tasks and make decisions with minimal human input – are revolutionizing the industry. They work 24/7 without coffee breaks, and the results are staggering: routine process costs slashed by up to 90% and errors […]

In an era of instant gratification, customer service is undergoing a transformative shift. Businesses are taking note of the rising importance of AI agents for customer service, also known as intelligent virtual agents/assistants (IVAs). These are software programs that autonomously handle customer inquiries in a human-like manner.

AI agents are autonomous software programs that use artificial intelligence to execute tasks with the minimal input of humans. In marketing, these agents have turned into tireless virtual team members who act on behalf of marketers to achieve goals (e.g. generate leads or personalize campaigns) rather than just output answers when asked.

Building a new AI model from scratch can be very costly in data and time. Instead, one of the top trends of 2025 is to fine-tune an LLM. This way, a general model can become, say, an expert customer service agent or a legal advisor by learning from domain examples.