Make Big Data Work in the Cloud

In this webinar, we will discuss the latest data acquisition capabilities provided by MATLAB and the test and measurement toolboxes. These products enable you to control and acquire data from external sources including sensors such as thermocouples and IEPE accelerometers, sound cards, oscilloscopes, arbitrary waveform generators, and signal analyzers.

Much like project management and home improvements, Data Governance sounds a lot simpler than it actually is. In a nutshell, Data Governance can be explained as “managing data with guidance.” In general, the perceived utility of these programs increases with the specificity of desired data and processing improvements. Whether restarting or starting your Data Governance programs, it is critical to be guided by a periodically revised Data Strategy that links support for organizational strategy to specific operational data improvements. Understanding these and other aspects of governance is necessary to eliminate the ambiguity that often surrounds the implementation of effective Data Management and stewardship programs.

Visual. Dynamic. Flexible. The ability to make intelligent business and clinical decisions faster is what life sciences companies want from business intelligence (BI) solutions. That's why pharmaceuticals, medical device companies, and CROs use data visualization technologies that work with a multitude of data sources across various organizational departments.

Healthcare and Insurance are two industries set for significant disruption because of IoT. They are also inextricably linked business models. This summit looks at how investment in data analytics that utilises IoT devices can on one hand be highly value generative for certain sector relationships, but on the other it can be kryptonite for other sectors. This summit looks at: