SPEAKERS & SESSIONS

Agenda by Day Agenda by Track

SPEAKER

Chris Kaufman, Senior Consultant Social / Mobile / IoT Solutions, Oracle Corporation

Chris Kaufman is passionate about the Science of Social-Mobile IoT Interactions…

When not working on turning big social-mobile data projects into creative digital campaigns, he researches online subculture projects, and studies the social capital of emergent message interactions in new social-mobile-IoT networks. And if time permits, he advises start-ups, helping creative IoT projects find funding through crowd-funding consulting.

Specialties: International Social Media Multi-Channel Campaign Management, Social Data Capture & Social Data Intelligence Design, Localization, Digital Marketing Strategist, Web Application Product Management, Web Content Distribution, Online Non-profit Branding, Crowd Funding Strategies, Event Market Planning, Java, C/C++, Visual Basic Net, XML, HTML, JavaScript, Site Usability, CSS, Vari.

VIDEO

SESSION

Understanding the forth coming IoT Economy with 3 New Rules
Track: Reactive to Proactive Decision Making
Chris Kaufman, Senior Consultant Social / Mobile / IoT Solutions, Oracle Corporation

Rule #1: Fast Data are Markets and Data at Rest Are Pools:
Rule #2: A PolyGlot of Interfaces Are Opportunity Drivers in Disguise
Rule #3: Data Markets must be services for you to succeed

A. What is Fast Data vs Data at Rest:
1. Getting your head around the differences
2. Fast Data Example vs a Data at Rest example
3. Real World IoT example of going from analytics to predictive to prescriptive

B. What has happened to enable Fast Data into Markets and Data at Rest into Data Pools:
1. Systems can support Real Time Decisions
2. Interfaces to these have been standardized
3. Cloud has created a polyglot of interfaces to plug into

C. History of Interfaces and Data Services
1. Railroad, TV, VHS vs Beta etc
2. Restful WebServices, in a digital information age
3. PolyGlot of interfaces in IoT to Microservices

D. Fast Data Markets Emerging
1. Biologic / Organic: How wearables are changing how we listen and decide about complex systems
2. Swarming: How logistics, asset management, an d retail are changing
3. Machine 2 Machine: Uptime, Preventative, and Maintenance

E. Taking advantage of this Paradigm Shift:
1. Capturing data from IoT devices is now commoditized
2. Storage and Analysis will become cookie cutter, but don’t trade away your algorithms just yet
3. Think in terms of creating new services to be consumed, not gadgets to connect, and not clouds to build.