Business intelligence has grown significantly over the past year. The IT industry has gone through a fluctuating change of business and technology trends resulting in a market of business intelligence software, cloud computing vendors, and big data and analytic platforms among other offerings. One of the biggest cloud-based and cognitive-computing giants in the market today is IBM, a global technology company that provides cloud based services and hardware software. IBM currently offers a suite of web-based integrated business intelligence solutions called IBM Cognos.
IBM Cognos Software arms businesses with compelling data storytelling that leverages the use of captivating visualizations, dashboards and graphs.
Below we discuss the top three reasons businesses are upgrading to Cognos Business Intelligence Software.
Artificial Intelligence, the buzzword that’s been circulating the tech world has ushered in dozens of conversations about the technologies surrounding it and how it is making its way into the industries. All the excitement surrounding AI and the technologies it supports –Robotic Process Automation, Machine Learning (ML), and Natural Learning Process (NLP)—has created a great deal of confusion about what these terms really mean and how we differentiate them from one another.
One of the many misconceptions is that Artificial Intelligence and Robotic Process Automation (RPA) are interchangeable. Though both technologies are stirring major enthusiasm around business process automation, they each accomplish this task in different ways.
We decided to dismantle the confusion around Artificial Intelligence and RPA technology once and for all. First, begin thinking of RPA as the do-er and AI the thinker.
There's a lot of buzz about next-gen software, and how they're going infiltrate horizontally and revolutionize the way we operate across the board. There is some validity to some this buzz, especially when it comes to AI, Blockchain, and Progressive Web Apps. In this article we demystify Blockchain, AI Software, and Progressive Web Apps (PWAs), and explore how they will evolve this coming year.
There will be a shift in focus from conversational AI to predictive AI, as we pinpoint opportunities for more polished workflows and user experiences. PWAs are the middle-ground between two very different user experiences and a melting pot of their best functionalities. We know now that wherever there are privacy concerns and whenever anonymity is required, Blockchain technology is applicable.
Over half of medical bills are mishandled, skewing costs in both directions and resulting in billions of dollars in improper payments. For a long time there was no way to circumvent the billing and coding infrastructure, and where there are manual processes, there are inevitable errors.
With a growing number of patients being treated, the number of billing errors increases exponentially. Handling this influx of data requires a sorting and organizational intelligence with processing power that far surpasses that of human resources.
Recently, healthcare establishments have been combating the billing deficit with artificial intelligence (AI) software. When applied to billing and coding, sophisticated AI technology has the capability to contextualize unstructured data, compartmentalizing EHR data and connecting relevant information together. Healthcare AI funnels data into a logical timeline and makes sense of disparate records—events, diagnoses, procedures—to eliminate errors in coding and reporting.