My interest here is in smart contracts. Blockchains as a service, now by Microsoft in Azure. Can these self adapt to their regulatory environment? Warn us when they are no longer of value?
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)
-
▼
November
(167)
- The Twitter Connection
- CPG and the Smart Home
- Watson Trends looks at Holiday Toy Shopping
- Unilever Foundry Program with Competitors
- Slowing Move to Digital
- Free Bayesian Networks Research eBook
- An Amazon Inspector for Security Compliance
- Cognitive Assistance at Work
- Emphasis for Simplified Analytics
- Visualizing Small Species in our Lives
- Oracle Data Visualization Cloud Service
- Many Dimensions of Big Data
- Sample Beautiful Science Visualizations
- What Amazing Bosses Do
- Manipulating Live Faces
- Amazon vs Wal-Mart
- Microsoft Happy with Hololens Pre Applications
- Using Sound Waves to Hack Data
- Predictive Analytics in the Supply Chain
- Feature Engineering Tips
- Brain Pickings and More
- Online Retail Needs Instore Experience
- Semantic Folding and Knowledge Processing
- Data Modeling Tools
- How the Internet of Things is Changing Work
- Fast Image Classification
- Giving Marketers Access to Data
- Intel Corp on Device Reliance
- IBM Makes SystemML Freely Available
- Essentials of Innovation
- Graph Visualization and Analytics Tools
- One Marketing Metric
- Brick and Mortar Analytics
- Will Training for New Skills Have No Value?
- Kinds of Thinkers in Collaboration
- Microsoft Tries an OpenFog Consortium
- Innovations in Engines for Aviation
- Hololens to Provide Demo in Volvo Showroom
- Speed of Marketing Automation
- Origins of Graphic Communications
- Wal-Mart and Facial Recognition
- A Translating Megaphone Assists
- Algorithmic Morality
- Persuasion in Marketing
- Pitney Bowes Location Intelligence
- Logistic Regression vs Decision Trees
- Building Predictive Models
- Windows at 30 and our first Interaction
- How Hard is it to Build A Cognitive Assistant?
- Difficulty of Persuasion
- Voice to Text Using Siri
- Analytics for Innovation
- Theory vs Practice of Data Science
- Getting to Wow in Sales
- Searching and Shopping with Images
- Raising Digital Quotient
- Extracting Value from Big Data
- First Brain MRI, 30 Years Ago
- Germany and Digital
- Detecting Emotion in Computing
- Neosensory
- Microsoft Believes Data Science will become Tailor...
- Watson Based Trend App
- Regulation and Liability of Cognitive Machines
- IEEE Technical History Online Promotes Understanding
- Applying IOT to Agriculture
- Understanding Data Streams
- You Can Draw
- Predicting Parent Purchases from Behavior
- Learning Language in a Neural Net
- Machine Learning and Cybersecurity
- Why Google Outsourced TensorFlow
- Biologically Inspired Question Answering
- Marketing Planning, Fast and Slow
- Another Open Source Machine Learning Platform
- Google is Answering More Complex Questions
- Email as Virtual Assistant
- Telling Stories with Data
- Levels of Sophistication
- End of Traditional Marketing
- Teaching Machines to Understand us
- Hands on Look at Hololens
- Success of Pixar
- Executive Coaching for Academics
- Vint Cerf on the Internet of Things
- Readying for Space Storms
- Fail at Scale
- More Google Micro Moments
- Reputation is Our Most Important Asset
- Cross Screen Addressability
- Your Brain Making Decisions
- More on the NYT's VR
- Thinking Humans in the Computing Loop
- Smart Machines Evolving with us
- How IOT is already being Used
- Death of Gene Amdahl, IBM Architect and then Compe...
- Tailored Analytics: Wolfram Financial Platform
- Swarms of Drones
- Games and Cognition
- SailFish Exchange for Data Curation
-
▼
November
(167)
No comments:
Post a Comment