Sundarrajan Ramalingam spearheaded a transformative analytics initiative at Sears Global Technologies from 2013 to 2017, ...

The challenges of building in-house pharma sales data analysis systems Studies show that ... companies use data to provide better, more comprehensive care to patients worldwide.

Fortunately, there are ways to implement Big Data analytics that aren’t outside PLC programmers’ comfort zone—if they use PC-based control systems. As these platforms have evolved, the walls have come ...

Smart Business spoke with Poeder about data analytics programs and what companies need to understand before attempting to implement one. Why is data analytics important? Analytics involves shaping ...

Naga Malladi revolutionized healthcare analytics with AI-driven predictive tools that reduced no-shows, improved resource use ...

Among these new capabilities is a system of alerts that enables the SPD to make data-driven decisions based on analytics insights and informs leadership of incidents and cases of complaints that ...

The data analytics solution system will be equipped with the following features: — It will operate on a large scale as a comprehensive ... intelligence reports and implementing effective strategies.

The project will establish an extensive data analytics system to enhance PSD’s criminal investigation capabilities and crime prevention tactics to increase safety and security in Jordan. The Korean ...

We want to analyse all this data with the help of AI and analytics and use it in our Passenger Reservation System (PRS), introduction of new trains and even predictive asset maintenance.