Together, Honeywell and Intel have developed a IoT proof of concept (PoC) for the Connected Worker. The Connected Worker can take many forms - factory laborer, mine worker, first responder, firefighters and more. For each environment and worker role, a different selection of sensors may be appropriate to provide the most meaningful IoT-fueled dataset to represent that individual worker asset. As with most IoT solutions, it is critical to avoid being overwhelmed by a steady stream of meaningless data. Rather, it is essential to send select actionable intelligence to the cloud for visualization and customized alert notifications. The downside is that data from individual wearable devices - if viewed independently - can potentially cause false alarms and contribute to inefficiencies in a manpower as a result. Fusing sensor technology with big data processing (hub/gateway), analytics - all in the cloud - is the key to improving local intelligence as well as remote visualization of actionable intelligence.

Intel’s sales and marketing organization strives to increase communications with resellers relating to new industry segments as they evolve and to encourage resellers to join webinars or conferences to gain a better understanding of Intel’s offerings for these new markets. Because sales and marketing teams must focus their resources on those resellers with the highest probability of generating sales, sending the right message to the right reseller helps drive value for the sales pipeline. We needed a machine-learning system to help our sales and marketing teams identify the best prospects within Intel’s large pool of resellers.

Since maintaining the confidentiality of human genetic data is of paramount importance to GenoSpace, the company has made security a top priority. In an environment where breaches involving healthcare data have reached alarming levels, GenoSpace understands the costly business impact of noncompliance with HIPAA patient privacy regulations and industry-leading data security practices. For example, the Identity Theft Resource Center’s 2014 annual list of security breaches points out that the medical/healthcare sector accounted for more than 42.5% of all the breaches listed, topping all other categories. Since reporting requirements began, the US Department of Health and Human Services has tracked 944 incidents involving approximately 30 million individuals. Along with the persistence and enormity of this problem comes financial fallout. For example, in its study, 2014 Cost of Data Breach Study: Global Analysis, the Ponemon Institute estimated that the average cost of a data breach in 2014 was $3.5 million, an increase of 15% over 2013. Additionally, the average cost per record across all sectors also increased, from $188 to $201—and the per capita cost for healthcare was the highest across all industries at $316 per patient. And the typical fine for a data breach runs up to $1.5 million per incident. The cost of breaches to the healthcare sector overall is estimated at $5.6 billion annually.

•Smart healthcare. Cascade3d wanted to integrate its analytics into an IoT platform so that data from sensors could be gathered, filtered, and analyzed to transform and optimize professional healthcare.• Education. IoT solutions are seen to be quite complex and can be daunting for less technical people, so adoption in the healthcare industry requires education as well as low barriers to use.• Data privacy. Especially when dealing with vulnerable individuals, the security of all data collected is paramount, as is sensitively dealing with this data.

Support more complex business needsBoth the increasing number of customers and more complex business demand a higher-performing acquisition planning system (APS) to ensure stable and reliable operation. Improve business agilityImprove the flexibility of the APS to increase business agility. Reduce costsEnhance the APS with better performance and higher scalability at a lower cost to enable the company's future development.