The Grand Challenges for Engineering proposed by the National Academy of Engineering (NAE) is the inspiration
behind Applied Methods and serves as an innovation road map for this information engineering company. Through the grand challenges,
the NAE reveals high value opportunities to develop analytical cloud services that can connect systems and transform data
into information. One of the common themes across all challenges is the role that data plays in both the manifestation of the
problem and the design of solutions. Whether the challenge is "Advancing health informatics" or "Restoring and improving urban infrastructure",
viable solutions will combine and analyze data from multiple sources.
Our platform, "Data Methods", enables the development of viable solutions by
combining cloud computing infrastructure, data processing automation, and artificial intelligence.
Grand engineering challenges are formidable in both scope and complexity.
In an approach to the grand challenges, solutions should draw from both traditional engineering
resources such materials and modern engineering resources such as web-enabled data.
Web-enable data is an abundant and information-rich resource that is expanding at an alarming rate.
It is created both through machine automated processes and as a by-product of our daily activities.
While web-enabled data continues to grow rapidly, the cost of data processing and cloud computing remains
relatively low. If the aforementioned trend endures and we continue to develop faster computers,
the future will hold opportunities to convert an enormous amount of data into information at a
fraction of today’s costs. Low data processing and cloud computing costs will extend the reach of innovative products,
applications, and services into new and emerging markets.
Extending the reach of insight and information in the form of analytical products,
API applications, and cloud services is a necessary part of an information engineering approach
to solving global challenges.