Big Data

According to Gartner, SaaS (Software as a Service) solutions are expected to grow a further 20.3% in 2016 to $37.7 billion, which is just a fraction of the 16.5% predicted growth for the whole public cloud service industry, from $175 billion in 2015 to $203.9 billion in 2016.

The ‘cloud’ is a term that’s used pretty freely nowadays, with varying degrees of accuracy. In a nutshell, anything cloud refers to ‘cloud computing’, the process of sharing internet-based data to any other device, from any other location.

The health record is an essential communication tool that supports clinical decision-making. Concern about patient privacy and confidentiality is as old as medicine itself. When it comes to our medical records, nothing is more important than our privacy.

Digital technology has radically transformed our world. Tablets, smartphones, and web-enabled devices have radically changed our daily lives and the way we communicate. The healthcare industry is sensibly trying to balance between innovation and patients’ privacy.

Today the teaching pedagogy has changed dramatically. With innovations in technology and increasing student mobility, educational delivery is changing constantly. Many schools have adopted the idea of personalized learning and they examine each student on their cultural background, needs and interests to create a customized educational program to generate interest and maximize outcomes. Similarly, schools, colleges and universities across the country has infinite data on students, teachers and staff which has to be effectively managed and analyzed to uncover insights that can improve operational effectiveness and boost student engagement.

Software as a Service (SaaS) can turn out to be the Sales and Marketing’s biggest demon if the business plan is a faulty one. The SaaS model itself has little to take blame. SaaS was to be shared with entities that could construct the ideal enterprise level solution and provide its constant support during the implementation. It doesn't always work out that way, but some solutions work better than others.  

Hadoop like many of the other big data solutions has been a game changer. Unlike other big data solutions, Hadoop is more accessible. Amongst others, its benefits include:

Cognitive Search & Powerful Analytics Provide Deep Insights in Data and User Behavior Using Machine Learning

NEW YORK – May 3, 2016 – Sinequa today announced the general availability of Sinequa ES Version 10. Powered by Machine Learning capabilities at its core, this ground breaking version helps deliver deep analytics of contents and user behavior, offering information with continually improving relevance to users in their work environments. The self-learning platform makes information self-service a reality, even for non-experts, while keeping it simple for administrators to manage.

With the emergence of new data sources such as social media, mobile applications, and sensor-equipped “Internet of Things” networks, enterprises applications today are adopting disruptive technologies to manage the higher volume of information; specially when the data itself arrives at much faster rates and is more complex and dynamic than existing transactional sources.

The scalable storage, powerful data processing and embedded analytics engines allows you to easily access, enrich and analyze variety and volume of big data to deliver real-time insights into areas such as operational performance, customer satisfaction, and competitor behavior.