Could not be more correct, especially in the world of changing technology and business. But what do they look like, and what do they have to be adaptable to? Admit to not knowing everything? More.
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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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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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