IAAS, CLOUD, AND MANAGED SERVICES BLOG
After nearly 20 years providing Managed Infrastructure Services, Cartika has continually evolved our services and now integrating Big Data into our offerings to keep up with the ever-changing reality of Data Services and Cloud Computing. With the NSA toolkits being made public last year, security and breaches both increased in severity and frequency. Sadly, as we slowly discovered, the NSA toolkits did not just impact a few out of maintenance Windows Operating Systems as was originally reported. Every Operating System was impacted to various degrees, and the "toolkits" themselves was more than just a pre-fab set of existing hacks, they were literally a set of "toolkits" that became weaponized in the hands of skilled hackers across the globe. Organizations were simply not prepared to handle breaches of this scale and magnitude, leaving software and Operating System vendors scrambling to patch software, and IT departments scrambling to ensure their data, and their customer's data was safe. Resultant outcry regarding data security and privacy has resulted in new compliance standards (ie GDPR) being created, as well as restructuring existing compliance requirements (PIPEDA, HIPAA, SOX/FISMA) to modernize their scope and penalties in cases where compliance is not met.
Earlier this year, some of the world’s leading experts on artificial intelligence met in Puerto Rico for a private conference. The purpose? To determine whether or not intelligent machines would be good for human society or bad. Not surprisingly, IBM’s Watson Supercomputer was a central topic of discussion. First developed in 2005 by IBM Research, Watson enjoyed its first real moment in the spotlight when it defeated Jeopardy winners Brad Rutter and Ken Jennings. From there, it experienced a meteoric rise to fame, finding its footing in a host of different fields - healthcare among them.
When we think about artificial intelligence, what comes to mind is usually none-too-friendly fictional examples like HAL and the machines from The Matrix, although there are some more friendly AIs, like Data from Star Trek. Friendly or not, we’re a long way from having functional AIs of this type, but over the next few years, most of us are going to be relying on a narrow sort of AI: AIs capable of organizing a limited subset of data in useful ways.