In the BBC: Supply chain and travel in a low pressure pipe at up to 1000 Km/Hr? All it may need is some infrastructure. In process.
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A Site Devoted to the Discovery and Application of Emerging Technologies .
About Me
- Franz Dill
- Retired from Procter & Gamble after 27 years. Now consulting extensively. Background in mathematics, working on a wide variety of modeling, supply chain, analysis, expertise, business intelligence and social media applications.
Contact at: Linkedin ShortBio Here.
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February
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- Turn Your Coke Packaging into a VR Viewer
- Internet 2 Rethought
- Networks of Parked Cars Could Save Your Life
- A Consumer Value Equation
- HoloLens Developer Hardware Specs
- Automating Feature Engineering
- Google Neural Network Determines Image Location
- How will Innovation Save P&G?
- Wal-Mart Out Sources
- CNET Smarthome Experiences Fragmentation
- Fintech Evolves, and this Blog Does too.
- Financial Revolutionist
- Amazon Selling Diapers Under a new Name
- Dialog Connection LTD
- Elements of Python Style
- Books v eBooks
- GE and Accenture Partnership
- Useful Open Data Resources
- Pooling Robotic Knowledge. IOT too?
- On Dynamic Pricing
- Predicting Rogue Waves: Addressing Rare Events
- Experiences with Data Lakes
- Microsoft Bets on Radical Design Thinking
- Biases in High Stakes Decision Making
- Making AI more Human
- Business is as Valuable as Your Customers
- Kroger Urban Stores
- Powering Aircraft Systems
- NBC Programmatic Selling
- Think More about the Causality
- Nokia's Cognitive Services Platform
- On the State of Human Capital
- Push on Wearables in the Enterprise
- Sleep Apps by J&J
- Clareo
- Apple Swift for the Mobile Enterprise
- Disruption in the Auto Industry
- Dimensions of Strategy
- More on Feature Selection
- Why you Need Predictive Analytics Today
- Doug Engelbart on Human Augmentation
- Role of the Futurist in Retail
- Scatter Plots for Big Data and Scagnostics
- City Design in the Self Drive era
- 2 Dimensional Drone Camera (With Laser) or Cat Dis...
- Samsung Smart TVs as Hubs
- Common Machine Learning Algorithms
- Cognitive TED and IBM XPrize
- Delivering Analytics and Insights
- Polinode Graph Analytics Examples
- Knowledge Management
- Make AI more Human
- User Experience is also about Data
- Google Cloud Vision for Image Tagging
- GE's Big Bet on Data and Analytics
- Whats a Security Graph?
- Mind Palaces
- Preparing IT Systems for the Internet of Things
- NY Times Builds a Slack Bot
- VR Reinventing the Digital Circular
- GE is Top Twenty World's Most Innovative Company
- IBM Internet of Things Educator Guide
- AI Still Flunks 8th Grade Science
- Should we Create Humanlike Robots
- Blockchain Ledger: Hyperledger
- Risks of Superintelligence
- Video Ads
- Reading Customer Minds
- Is Small Data more Business Process Context?
- A Crusade Against Multiple Regression Analysis
- Big Data and Storytelling
- New Rules of Data Visualization
- Ensemble Methods for Tuning Results
- Amazon Air Cargo
- Simplicity Should Break Ties.
- Travel by Hyperloop?
- Amazon to Launch a Dragon Boat
- Storeflix for Whole Picture Brand Insight
- GE Addresses Scientific Impossibility
- Teaching AI Chitchat
- Services and the IOT
- Monitoring Machine Operation
- Watson Analytics for Superbowl Front Office Data A...
- K Nearest Neighbor Using Python
- Michael North - Agent Models Argonne Labs
- Beyond Automation
- Model Discovery, Process Mining with Fluxicon
- Crowdoscope from Unilever
- Stories can be Dangerous
- Kognit for Mixed Reality
- Machine Intelligence in the Workplace
- Pinterist Leveraging Deep Learning AI
- Rethinking BYOD
- Re Emergence of AI in the Enterprise
- Gamifying in the Lumberyard
- Supply Chain Management Priorities
- Goals for Thermostats in the Smart Home
- Tom Davenport: Beyond Automation CSI Talk
- A Look at Less well Known Visual Tools
- Showing Computers a Better Way to Learn
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February
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