What does it mean to see in a technological world? A Wired look at visual sensors, using the Pluto flyby as an example. At what, when and how are we seeing things?
Subscribe to:
Post Comments (Atom)
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.
RSS
Blog Archive
-
▼
2015
(2064)
-
▼
July
(190)
- Bouncing Camera Gathers Images, Realities
- Amazon Dash Buy Button Available to Prime Members
- Many New Channels on IFTTT
- CVS Pharmacy and IBM Watson
- Brands, Private and National, Matter
- Big Data and Statistics
- Programming Robot Swarms to take Inventory
- A Look at Innovation Centers
- P&G Supply Chain Redesign
- Shift from TV to Digital Video
- Process Improvement and Building IKEA Furniture
- Walmart Robot Picks Groceries
- Changes in Consumer Goods Players
- Service Innovation for the Interconnected World
- The Service Innovation Triangle
- SAP Pitches Strongly to C Level execs
- Sighthound Computer Vision
- P&G's Next CEO
- NTT and Eldercare Robotics in Japan
- Looking for Value in Data
- Citizen Developers
- Amazon Proposes a Flight Plan
- Transforming Higher Education
- Gartner on Digitalization
- UK Virtual Reality Lab for Transport
- Historical Big Data Use Case
- Executive Guide to Machine Learning
- Cities and the Power of Integration
- Microsoft and the Internet of Things
- Prevedere Software uses Leading Indicators
- Self Checkout Psychology
- Investing in Deep Learning
- Self Driving Trucks this Year
- Consistent Experiences across Devices
- Evernote on Euro Data Laws
- Telling Good Data from Bad
- Thinking about Attentive Analytics
- Intel is Fixing the Cloud
- Content Analytics Re-Emerges
- On Pluto and the Nature of Seeing
- Dark Data Repository
- Amazon as Internet of Things Superpower
- Data about China
- Creating A Marketing Persona
- Phone an Expert Friend. Past and Future
- Tracking Job Loss Through SmartPhone Data
- Mapping Math onto the Real World
- Jeep Hack Causes 1.4 Million Vehicle Recall
- Amazon Business
- Innovation Environments
- Dispel Fear of Data
- Sony Drones for Enterprises
- Statistical Significance
- IBM Open Sourcing 50 Projects
- Future of the Chief Data Officer
- New Features in Polinode Networks
- Mobile Apps and in-store Impulse Buys
- Cognitive Analytics
- Vehicle Hacking and Security
- Unilever Partners with Alibaba
- Gamifying Videos
- Mastering Brand Building in the Third Decade of Di...
- Globalization and Manufacturing Location Clusters
- AI and Human Sketch Recognition
- Strategies for Reaching the Chinese Consumer
- Connecting Employees and Customer Experience
- Tracking your Location Over Time
- A&P is Gone
- Teradata Aster Videos on Advanced Analytics
- Integrating Supply and Demand
- Stolen Data Phones Home
- On Enabling vs Controlling
- Analytics Speed, Context, Functionality
- HR Algorithms
- PepsiCo R&D
- Cortana Voice Assistant
- Target's Innovation and Technology Center
- The Shape of Data
- PLM Industry Summary
- Too Strong a Culture?
- Executive Machine Learning Jargon
- Statistics Obsolete in a Big Data World?
- Look at IOT Security
- People Analytics
- Pushing Humanoid Robotics
- Future of Shopping at SF Lab
- Let the Patients Search
- Ask the Right Questions for Data Value
- Exploratory Analysis with Excel
- Cisco Grand Challenge in IOT
- Watson Tone Analyzer
- Collaborative Thinking with Computers
- Building Your Cognitive Technology
- A Look at Amazon Prime Day
- How Often Should Prices be Changed Online?
- Spam Decreasing
- Principal Component Analysis
- Emojis Creating Data
- Unilever and Click Fraud
- Gamification, Jobs and Cognition
-
▼
July
(190)
No comments:
Post a Comment