& Managed Services Cognitive Computing Prescriptive What - PowerPoint PPT Presentation

Value Capture in Adaptive Workflows & Behavior Change Decision-making in Age of & Managed Services Cognitive Computing Prescriptive What should happen..! Predictive What might happen.. Descriptive What happened .. Human + Software Agent Leads to Best Decisions

 Demographic Transition Opportunities  Boomers  Aging-in-Place Solutions (Institutional; families)  Aging Lifestyle brands – learning, arts, exercise, social – family tools  Workforce Training Solutions  Millennials  as parents  as local business supporters  As design-capable prosumers  Suburban (Decline) Cities (Rising); Small Towns (Craft Mfg)  Global – Demographic dividends – India, Pakistan, Nigeria (Sell solutions to private industry; governments)

 Enterprise Opportunities Value creation – capture: 1) moving up data value chain [Descriptive to Predictive and Prescriptive] 2) integration of learning machines  Graph Databases :  Need to understand Connected Data for Analytics & Recommendations.  Who? Insurance, Health, Learning, Enterprise HR-L&D, Legal-Law (Patentula), Machinery - Equipment, Supply Chains, Retail including indoor navigation, Agriculture - Farming, Food (FoodGenius), Transportation- Transit, Waste management, et al  Intelligent Assistants :  Creating Knowledge Graphs – specific to industries – experiences  Where: Retail; Finance-Trading; Logistics [Health]  Talent  ExperienceAPI (xAPI) and Learning Record Stores (LRS) linked to workplace performance – collaboration – knowledge management  Where? Compliance-sensitive environments; Companies w/ broad partnerships and complex supply chains (to know workforce readiness)

 Energy Opportunities  Utilities – Demand Management solutions (Industrial)  Distributed Power – SOFCs  Fuel cell parks -- beating solar to punch with stronger value proposition to utilities  Cost Curves & Subsidies  ClearEdge Power vs Bloom Energy  Micro-Power - PEMs – SOFCs  Truck Fleets – auxiliary power installation & managed service  Portable power units via Airport rentals; Rent in LGA drop off in Dallas (Fuels already by-pass security)  Micro power Vision – ‘manufacturing’ (not building) power plants; Putting 1 billion micro power plants into world economy within 10 years (Leap frog analog of cell phones to distributed power; Personal fuels market vs Solar)  Utilities – HR – Talent Training

What A graph database stores data (properties) using : • Nodes (aka Vertices; Things; Dots) – main data entity • Edges – relationships that connect nodes When to use it • Complex Data – Shaped by Connections - Relationships [RDBMS are optimized for Aggregation & Quick look up vs Graphs for Connections – and Seeing relationships] • When you want a database to represent the actual world. Why to use it? • Queries! Asking Natural Questions Which of my Austin friends like Sushi (Social and Spatial Data) • Finding a ‘Path’ (How do I know you? Know this? Get this disease?) • Fraud Detection Detecting anomalies; Risk levels Popular Graph business foundations • Google (Link Graph & Knowledge Graph); Facebook; LinkedIn (Social Graph); Twitter; Match.com (Interest Graph); IMBD Movie Database

Graph Databases : • Graphs provide an intuitive way to model, understand, predict, and influence the behavior of complex, interrelated social, economic, and physical networks. • Tracking relationships and making matches across a network of people, organizations, events (time), MDM, locations and data • Graphs: social, intent, consumption, interest, mobile, Applications: CRM; Social Network Analysis; Market Structure Analysis; Logistics; Bio Data; Spatial Analysis; Recommendations (Prescriptive Analytics); Product catalogs; Locative-apps  Insurance  Health  Government Services → Elections  Education - Learning  Transportation-Transit (Hubway Hack)  Supply Chains State DOTs – Reinvent commuting  Retail including indoor navigation  Logistics – Delivery (eBay Shutl)  Agriculture - Farming  Enterprise HR-L&D  Food (FoodGenius)  Legal-Law (Patentula)  Weather –  Machinery - Equipment  Marketing  Civic-Culture Orgs (Parks; Museums)

What Intelligent Assistants – use natural language interactions to learn about users and external worlds (via knowledge graphs) to provide recommendations and answers When to use it • Context sensitive experiences • Data-intensive industries Why to use it? • Accuracy on Context • Accessibility – low barrier to entry of Natural Language • Understanding logic and range of answers Popular business applications • IBM Watson, Mindmeld API, Warren, MS Coranta; Siri; Google Now I keep related tags: https://www.diigo.com/user/garrygolden/Watson https://www.diigo.com/user/garrygolden/personal%2Bassistant

What: Learning Analytics ExperienceAPI and Learning Record Stores (LRS) track life and learning ‘activity’ statements that can be used to improve learning - performance, dynamically adjust content-training, aggregate data, et al [Post-SCORM: ExperienceAPI is official LMS standard] When to use it • Informal and Formal Learning – Training • Learning & Compliant-intensive industries Why to use it? • Empowers individuals, colleagues, content providers • Leverage of Learning Graph • Learner & Work Readiness Assessment I keep related tags: https://www.diigo.com/user/garrygolden/xapi

Compliance; Work-force Readiness Assumption to Explore: The most transparent and accountable talent pools will be the most productive and desirable partners. Workflow – Training Learning Records Organizational Culture: Activity Statements Store (LRS) Transparency & Accountability

Data-driven Transitions to Managing Talent Learning Records Store (LRS) Individual repository + profile for Personal Data Locker (PDL) learning activity streams from:  Social Learning  E-learning Content  Simulations / Gaming  Audio + Video  Real-world Experiences (Offline; Non-browser-based)  Movement & Wearables  Place-based Experiences

Data-driven Transitions to Managing Talent Capturing <I DID THIS>  John watched a Youtube video on x-tooling machine  John was certified on servicing Workflow – Training x-tooling machine Activity Statements  John repaired x-equipment Bring Visibility to  John updated training manual Accountability to Org  John delivered repair workshop & Supply Chain  John was promoted to line engineer Partners

Recorded as LRS xAPI Activity xAPI Activity Requested by Org Code embedded by Stored in: Used to Adapt Workflow: Content Author Learning Record Store Work Learning Activity Provider Personal Data Locker Work Activity

What: Connected Devices Networked hardware; Sensing and automation capabilities When to use it • Product Plus Service biz models • Managed Services biz models Why to use it? • Real-world data on product usage • Business model innovation • Ecosystem growth I keep related tags: https://www.diigo.com/user/garrygolden/xapi

Data-driven Automation and Adaptive Work Experiences Assumption to Explore: Businesses with the most connected devices & best user behavior change strategy win. Connected Device Data Products that can Track & Change Behavior

Data-driven Automation and Adaptive Work Experiences Products Designed to Improve User Behavior How do we rethink our solutions set in the coming age of product- based instruction & on-demand learning in manufacturing & retail work settings? CloverNet Shift: POS to Point of Learning Devices  Operations  Customer Experience  Staff Productivity

How are the biggest players trying to re-frame the future? GE’s Industrial Internet What if industrial customers sold access to real-time market data? What new business models might emerge? (e.g. Managed Services)

Internet of Things Sifting Out All the Noise

6) Energy - Distributed Power Fuel Cells In News • Japan – Germany (Panasonic) leading policy • Transportation – Toyota, Honda, Daimler, Hyundai; GE • FuelCell Parks – Apple; Fuel Cell Energy & Dominion – CT) • Auxillary - Sprint; Microsoft databases

Personal Power The device has a detachable cartridge that has 25 amp-hours (25,000mAh) of charge -- more than 10 times the 1,800mAh to 2,300mAh common in Missing pieces today's smartphones. In practice, a single cartridge is good enough for five  Cost curve 2016 charges. The company plans to sell the reusable cartridges through  subscriptions costing $5 to $10 per month. Portable fuels (liquid; solid; The device competes with more conventional battery-powered recharging standards?) devices and with portable solar chargers. The Upp charger weighs 235g, or about a half pound, and the cartridge weighs 385g, or about 0.85 pounds.

TRANSPORTATION – LOGISTICS Robotic Operating System - ROSJAVA Gain advantage through ROSJava enabled automation and robotics fleet?