Insights

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.

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.

In recent years, the Healthcare and Life Sciences (HLS) industry have experienced significant transformations, driven by the convergence of Data and Artificial Intelligence (AI).

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.

The European Microsoft Fabric Community Conference (FabCon) held in Stockholm from September 25-27, was a gathering of tech enthusiasts, industry leaders, and enterprises, all focused on the future of data infrastructure modernization.