Long before data science and machine learning, there was Analytics. Here is their most recent e-newsletter. Subscribe. Always some useful information.
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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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Blog Archive
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2016
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July
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- Procter, whats Next in a Club Marketing Era?
- Capital One Advances Alexa Finance Skills
- Creating Omni Encounters
- SAP on Digital Transformation
- Interview with Mobileye
- A History of Data Mining
- Towards IoT Standards Alliances
- Bayesian Learning Explained
- Combining Human and Machine Knowledge
- Predictive Maintenance
- Supply Chain Lessons
- How to Build a Slack Bot
- Marketing Your Personal Data
- Facebook's Plans for Virtual Reality
- Other Social Channels
- Mistakes Managers Make with Analytics
- Creatives Shouldn't Worry About AI
- Pivoting to Digital
- Watson Personality Insights
- Game Based Learning
- Wolfram Alpha Sidebar Assistant
- Being a Change Agent via Analytics
- Technology and Skills
- Working with Emerging Market Data
- Supply Chain Metrics in Household and Beauty
- Encyclopedia of Interaction
- Defending the Power Grid
- Future of 3D Printing
- Predix Opening to Development
- A Conversation about the State of AI
- Putting Digital in Perspective
- For Better Decisions: Get more Varied input
- Google Data Studio Beta
- Nestle Innovation Platform
- P&G Sells UK Product Innovation Center
- Need for Dynamic Machine Learning
- History of Measuring Time
- Solutions to VR Motion Sickness
- Cyber Social Learning Systems
- Magic Leap and China Augmented Reality Shopping
- Autonomous Selection of Mars Laser Targets
- Kinds of Choice in Decision Process
- Programming with Objects
- Singularity University
- Following Watson Facing Cybercrime
- What is Cognitive Analytics?
- Disruption Considered
- Targeting Physical Out of Stocks
- Importance of Data Management
- AI, Deep Learning, and Machine Learning: A Primer
- Micro Moments During Mobile Shopping
- Bringing Intelligence to Data Handling
- InsightETE Seeks Root Cause in Process
- Analytics Magazine
- Exploring Databases: The Indiana Project
- Facebook's AI Chatbots Now Serve a Billion Users
- Machines Replacing Humans
- Wearable, IOT Memory
- DSC Surveys Data Science Techniques
- Fabric Software for Visual Programming
- When and Why of Causation
- Buying Disruption in Personal Care
- Macy's Tests Watson AI
- VR for Marketing
- Automatic Tutors
- Procter Tests Direct Online Subscription
- Semantifying the Use of Data
- Predicting Bots Everywhere
- Tactile Intelligence
- Nest Camera with AI
- Microsoft Dynamics
- On Useful Intelligence Augmentation
- Another in Aisle Scanning Test
- Analytics and Performance Management
- More Virtual Humanity
- Pokemon Go and Retail
- Data Driven Business Strategies
- New: Digital Industry Insider
- Nielsen on CPG Innovation
- Google Building a Matrix?
- Semantic Ecosystems
- Better Digital Work Methods Needed
- The Importance of Carefully Considering Outliers
- Predictive Models Improving Automated Decisions
- Using GPS Underwater
- Towards Adaptable Leaders
- A New Biology
- The Problem with Thinking You Know
- Twitter and other Social Connections
- O'Reilly Newsletter on AI
- Understanding How Neurons Compute
- Holacracy as Alternative Business Organization
- NodeXL: Creating Network Graphs from Excel
- How Amazon Prime Day Links to Amazon Technology
- Value of Functional Packaging
- Google Starts to Allow Forgetting
- Retail Cyber Scams Advance
- Amazon Echo and Business Intelligence
- Data World Provides Data Resources
- Pokemon Go Explodes
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July
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