CIOs are increasingly exploring small language models to address high computing costs and issues like model hallucinations in AI. These smaller models, characterized by fewer parameters than large language models, offer a more efficient option for specific tasks. As businesses seek expertise tailored to their fields, the adoption of small language models is projected to ...
Transform your globalization efforts with agentic process automation. This innovative approach helps businesses speed up their product launches by automating tasks such as asset management and stakeholder communication, cutting time to Market by as much as 70% without sacrificing quality. It also significantly reduces localization costs—by over 50%—by effectively managing terminology and reusing translations, all ...
Many Fintech teams struggle to keep up with the fast advancements in AI models and how to use them effectively in finance. As a startup from Silicon Valley, we faced similar challenges and took time to understand foundational AI models while developing standard workflows. Our goal was to find the best setup for performance and ...
Imagine leading a successful company but feeling overwhelmed by disorganization and inefficiency. Now, picture a change that doubles your productivity, cuts costs, and delights customers—all possible through AI agents. These smart tools can automate routine tasks, improving efficiency and decision-making across various industries. However, many current AI solutions are overhyped and lack the advanced skills ...
In 2025, enterprise AI is set to make significant advancements, and businesses must refine their AI strategies to stay competitive. Key areas to focus on include the development of AI agents that improve operations and customer interactions, and the use of evaluations to ensure accuracy and alignment with company goals. Additionally, cost efficiency will allow ...
In 2025, businesses must rethink their AI strategies to stay competitive. Key areas to focus on include adopting advanced AI agents that streamline operations and improve customer service. Evaluations of AI models are crucial for ensuring accuracy and aligning with corporate goals. Cost efficiency is now achievable as AI becomes cheaper and techniques for optimizing ...
