Look, “prevention is better than cure” isn’t just something your grandma says when she’s pushing kale on you. Turns out, this old saying has leveled up—thanks to predictive analytics, docs can now spot trouble before it even knocks on your door. Tech has come a long way, huh? With all this AI magic, wearables tracking […]
When most people think of Alzheimer’s, memory loss is the first symptom that comes to mind. But new research suggests the real warning signs might show up much earlier - and in a surprising place: your sleep.
The modern healthcare ecosystem relies on interoperability, which is the ability of systems to exchange and use health data easily. Patients, providers, payers, and even regulators increasingly expect information to be available at the right time and place. However, the reality is often different. Disconnected platforms, inconsistent data formats, and fragmented workflows still limit the industry.
Artificial Intelligence (AI) is today at the center of enterprise innovation, but most companies fail to scale beyond pilots. Fractured deployments, oversized expenses, and limited ROI are typical obstacles to advancement. We have seen it time and again at smartData: how AI-native design — building software with intelligence embedded — enables companies to achieve scalable, measurable improvements, which trigger clients to double, triple, or even multiple their growth compared to incremental improvements.
In the last decade, automation has moved from a “nice-to-have” to a “must-have” for growing businesses. What began as simple rule-based workflows—moving data from one app to another or sending scheduled notifications—has now evolved into something far more powerful: AI-powered workflow automation.
In today’s regulatory landscape, organizations face growing pressure to manage governance, risk, and compliance (GRC) with both speed and precision. Traditional methods struggle to keep up with the scale of monitoring, transparency demands, and rapidly shifting regulations.
As a person having over two decades of experience, working both in domain of technology field as well as business development at smartData Enterprises, I’ve witnessed many legacy systems utilized by organizations. These systems were once modern and state of art and were considered backbone of thriving businesses. But over the period of time, due to rigid structure and lack of modern day values and integrations, they suddenly become significant obstacles to growth in interconnected digital landscape.
The dynamically-evolving expectations of customers have made instant gratification the new standard. To adhere to these customer expectations, organizations are utilizing aspects of artificial intelligence (AI), especially chatbots and voice-based applications. They, however, still consider the most important question of the hour. Can chatbots replace human assistance?
When we start a new software project, choosing one of the first and most important decision is the right architecture for the success.
AI is changing education now-not a futuristic vision. AI-powered EdTech from classrooms to corporate boardrooms is redefining how we learn, teach, and grow. In Schools: Personalized, Inclusive Learning AI propels adaptive learning platforms that cater to every student’s pace, style, and level of understanding. With real-time analytics, Squirrel AI in China and Century Tech in […]
