How AI agents are collaborating to transform clinical trial analysis
Written by Saachi Talwai – Senior Digital Engineer
In life sciences, speed and rigor often pull in opposite directions, especially in early-stage studies where data is sparse, stakes are high, and every decision must be defensible. At Sonata Software, we bring these forces together with an AI-agentic approach that pairs statistical depth with clinical context.
Why enterprise leaders must act on Agentic AI now
Written by Sonakshi Pattnaik
Artificial Intelligence has undergone a significant transformation since its inception in the 1950s. From early rule-based systems to today's powerful deep learning models, AI has grown more intelligent and responsive. However, most systems still share one thing in common: they wait for a command. Traditional AI is reactive, performing tasks when prompted, usually within narrow constraints. As a result, they struggle with multi-step reasoning, context awareness and autonomous decision-making.
Customer retention strategies to drive long-term loyalty
To achieve high retention rates, businesses should adopt a multifaceted approach tailored to their customers' needs and preferences. This includes strategies such as competitive pricing, intuitive navigation, personalized experiences, and robust loyalty programs. Companies that prioritize customer retention can cultivate a strong and devoted customer base, leading to long-term profitability.
Harnessing the Power of Microsoft Fabric for Healthcare Innovation
In recent years, the Healthcare and Life Sciences (HLS) industry have experienced significant transformations, driven by the convergence of Data and Artificial Intelligence (AI).
Microsoft Fabric Meets Agentic AI: Revolutionizing business decision agility
Generative AI has captured global attention with its ability to produce diverse content and insights. However, the future promises a shift from simple, knowledge-driven applications to intelligent agents capable of complex, automated actions.