How we spend our days is, of course, how we spend our lives. - Annie Dillard
What is new ...
Neil Wasserman will be teaching Blockchain Fundamentals in at George Washington University, Fall Semester Computer Science CSCI 6907.
Blockchain Fundamentals: Business Models, Technology and Applications Course description: Blockchain technology implements a digital distributed transaction ledger, the best-known use of which is cryptocurrency such as bitcoin. The suite of technologies and techniques associated with blockchain implementations have the potential to transform any business process that transacts something of value. The course will provide an introduction to blockchain concepts in both technical and business contexts, and illustrate blockchain concepts with applications to finance, healthcare, supply chain management and other business domains. Students will be expected to carry out independent analysis of business, technical and policy issues on the forefront of blockchain theory and applications.
Moving rapidly forward with blockchain
Healthcare innovators now recognize the power of blockchain to support the integration of services, payments, and supply chains, IoT data and address other critical healthcare challenges. Let us help with your initiatives. New consulting projects are now underway to apply blockchain to payments and other healthcare applications. The train has left the station.
White Paper: “Blockchain and Healthcare Supply Chains,” showing the opportunities for using blockchain technology to transform clinical research, drug manufacturing, data access and integrated patient care. To get your copy write to Neil Wasserman, at nwasserman@tmwv.net .
What is Timewave ...
Timewave Analytics delivers unique capabilities in data analytics and behavior modeling to change outcomes.
- Innovation in data tools and monitoring enables seeing patients in new ways.
- Innovation in communicating and listening to patients enables connecting with patients in new ways.
- Innovation in modeling behaviors enables linking patients to their futures in new ways.
It is all about using the natural capacity of the human brain to adopt regular (cyclic, autonomic) behaviors, to move from the noise of random action to the calm cycles of progressive change.
It is all about reducing the information needed to manage behaviors that change futures. That means behaviors have to be regular, networked and synchronized across populations.
Combining behavioral models with special expertise in advanced data analytics methods, such as associative memory, can produce dramatic improvements in risk classification in many domains: healthcare, manufacturing, financial services, and security.
Let us show you how to use the new data tools and the new time-behavior models to change what you thought was possible.
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