Pushing Limits Of Analytics With IoT
Introduction The traditional method of analyzing data once it has been collected and saved is no longer fit for purpose. Today's technology requires data analysis while it is being created, while it is being transferred from one device to another, and while it is at...
Why The Pace Of AI And Machine Learning Innovation In The Health Industry Should Quicken
People are dying because there is a lack of innovation in the health industry. This is because technologies like AI and machine learning are opening up significant opportunities in patient care, but, for a variety of reasons, the healthcare industry is slow to take up...
Artificial Intelligence Will Change Banks From The Inside Out
Structural change is coming to the banking industry, and it’s coming because of artificial intelligence. Of course, banks can use AI for a range of functions but the area where they are likely to see the most significant impact - both in the way they operate and...
Self Service Cause More Harm
We're living in a world where you no longer need IT to tease information from raw data. In the 'Analytics 3.0' era, data-driven insights are delivered via self-service tools. Personal editions of consumer-friendly tools have brought advanced analysis and insight to...
Hackers Focus on Cryptoransom Malware
The fast moving world of information security faces a new challenge as attackers are increasingly focusing on mobile users, embracing cryptoransomware in particular. This makes a change from the years before 2014 as mobile attacks increase exponentially alongside...
Self Service Revolution in Healthcare
Waiting weeks or months for proper analysis of data is a problem for any business. In that time, trends may have come and gone, sales lost, or customers overlooked. Keeping up with the flood of data means IT departments have been overwhelmed with requests and there...
Big Data Big Responsibility
It is estimated that, in 2015, humans are now generating as much as 2.5 quintillion bytes of data every day. Huge amounts of personal data are collected, the result of the digitization and 'datafication' of large parts of our lives. Smartphone use, for example, has...
Self Service Shortcut is No Miracle
The success of BI is in some ways its undoing. Such is the increasing demand that BI teams are struggling under an avalanche of unmet BI needs. In an effort to lighten the load, many are 'embracing a self-service mantra.' Those in anticipation of a quick fix for their...
Compliance in Finance
Big data is now a solid reality for many firms in the financial industry. However, along with the traditional three Vs of big data – volume, variety and velocity – financial firms must consider a fourth: vulnerability. Managing big data effectively is an increasingly...
Best Method Securing Data
There are a number of guidelines to follow when it comes to protecting your data. Questions on how best to achieve this often include examples like “which data should be classified as sensitive?” and “which groups of users should have access to this data?” In fact,...
Success in Security Analytics
Over the next couple of years, security professionals can expect abundant innovation and plenty of competition in their field. The big data security analytics market is breaching high water marks with enterprise players, government integrators, security vendors, and...
Endpoint Threats
As networks continue to grow in size, so invariably does the number of endpoints grow – all of this makes endpoint threat detection more difficult than ever. At the same time, so too does detecting them become ever more important. As such, a very reasonable question –...