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.
When considering cloud-based solution especially in the healthcare industry, it is crucial to separate fact from fiction. Here are few myths that continue to misdirect and misguide the cloud discussion in keeping health records on cloud-based storage systems.
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.
“Cognitively enabled applications, especially those dealing with unstructured data, are clearly the future for better information delivery to users in a wide range of industries and work environments,” said David Schubmehl, Research Director at IDC. “By 2020, 50% of all business analytics software will include prescriptive analytics built on cognitive computing functionality.”
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.
Cloud-based platform to support best practices and deliver efficiencies across the firm
Invenias, the leading cloud-based platform for executive and strategic hiring, has announced today that California based Toft Group Executive Search, part of the IESF Global Network of executive search firms, has deployed its platform in order to support its impressive growth trajectory. Toft Group, which focuses exclusively on building leadership teams for Life Sciences and Healthcare companies, required a system that would provide it with the operational confidence to scale, whilst sticking to their milestone-focused process that gives clients committed timelines.
Robin Toft, President and CEO of Toft Group comments: “As a company we specialize in a very specific sector – that makes it all the more imperative that we’re a data-driven organization, continually speaking with candidates, monitoring opportunities and nurturing our pipeline. Invenias has equipped us with the ability to work as dynamically with data as our clients do.”
If one thing is clear, big data has a bright future ahead of it. More businesses and organizations than ever before have bought into the idea of collecting vast amounts of data, analyzing it, storing it, and eventually using it to improve operations, make accurate forecasts, and even create new products and services. With such tremendous potential, many investors have seen big data as a clear target for growth. Pinpointing just how to invest in it, however, has been a challenge. One could notice a promising startup and ride it out as the business grew or failed, depending on what they offered. A more likely scenario that investors are paying more attention to is that of data centers. In many ways, data centers are the hub from which all big data analytics is done, and as big data continues to grow, so will the data centers that feed it.
Solution enables users to search and analyze unstructured file data with effortless file sync and data archiving to public cloud object storage
A new software service to make large volumes of complex unstructured file data more visible and accessible to users, IT managers and CIOs has been launched by Kazoup.
Kazoup integrates policy-based file sync and data archiving to major public cloud-based object storage providers including AWS, Azure, Google and CenturyLink. It delivers clear data governance, enabling users to distinguish the data that adds value to the business, and that which does not. Combined with intelligent migration to the cloud, it is the fastest and most affordable method to simply integrate with public cloud and extract value from unstructured data.
It's that time of year again; time for technology experts and service providers alike to make their top predictions for 2016. It's no surprise that big data ranks highly yet again, as companies look for new ways to leverage this resource and make sure they've got the right staff for the job. Here are four of the biggest big data predictions for the coming year.