& Managed Services Cognitive Computing Prescriptive What - - PowerPoint PPT Presentation

Predictive

What might happen..

Prescriptive

What should happen..!

Descriptive

What happened..

Value Capture in Behavior Change & Managed Services Adaptive Workflows & Decision-making in Age of Cognitive Computing

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,
• rganizations, 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  Government Services → Elections  Transportation-Transit (Hubway Hack) State DOTs – Reinvent commuting  Logistics – Delivery (eBay Shutl)  Enterprise HR-L&D  Legal-Law (Patentula)  Machinery - Equipment  Civic-Culture Orgs (Parks; Museums)  Health  Education - Learning  Supply Chains  Retail including indoor navigation  Agriculture - Farming  Food (FoodGenius)  Weather –  Marketing

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

Organizational Culture: Transparency & Accountability

Workflow – Training Activity Statements Learning Records Store (LRS)

Assumption to Explore: The most transparent and accountable talent pools will be the most productive and desirable partners.

Learning Records Store (LRS) Personal Data Locker (PDL) Individual repository + profile for 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

Data-driven Transitions to Managing Talent

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

Code embedded by

Content Author Activity Provider

Recorded as xAPI Activity Stored in:

Learning Record Store Personal Data Locker

Used to Adapt Workflow:

Work Learning Work Activity

LRS xAPI Activity Requested by Org

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

Connected Device Data

Products that can Track & Change Behavior

Assumption to Explore:

Businesses with the most connected devices & best user behavior change strategy win.

Data-driven Automation and Adaptive Work Experiences

CloverNet

 Operations  Customer Experience  Staff Productivity 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? Shift: POS to Point of Learning Devices

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

The device has a detachable cartridge that has 25 amp-hours (25,000mAh)

• f charge -- more than 10 times the 1,800mAh to 2,300mAh common in

today's smartphones. In practice, a single cartridge is good enough for five

• charges. The company plans to sell the reusable cartridges through

subscriptions costing $5 to $10 per month. The device competes with more conventional battery-powered recharging 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.

Personal Power

Missing pieces  Cost curve 2016  Portable fuels (liquid; solid; standards?)

TRANSPORTATION – LOGISTICS

Robotic Operating System - ROSJAVA

Gain advantage through ROSJava enabled automation and robotics fleet?

S.T.E.E.P. DRIVERS OF CHANGE

Society (Demographics – Culture)

Demographic Transitions ‘Pear-shaped’ Societies with Potential Demographic Dividends Aging Populations Workforce; Family; Consumer spending; Healthcare costs Gender and Family Structure Dynamics Women: Educational Attainment; % in Workforce Urbanization vs Rural Retreat (De-urbanization) Bifurcation splits rural-metros across China – Africa – India

S.T.E.E.P. DRIVERS OF CHANGE

Environment – Natural Resources

Sourcing – Materials and Natural Resources

Rare-Earth Supplies; Substitution constraints; Resource Nationalization

Energy Transitions Dynamics of Unconventional Oil-Natgas; Distributed Power Materials Design Light-weighting Industrial Products; Nano-; Computational Design Bio Industrialism Waste Capture – Utilization Climate-Ocean Change Agriculture; Ocean; Population displacements

S.T.E.E.P. DRIVERS OF CHANGE

Politics

Globalization: Strong State Hybrid Markets & South-to-South Emerging Economies Re-write Assumptions on Strong State path Regulatory Frameworks Extensions; Automation; Harmonization-Fragmentation Civic Culture Shaped by Narrow-casting vs Middle-Way Monetary – Fiscal Policies China Debt-to-GDP Ratios & Industrial Overcapacity Non-State Actors NGOs; Empowered Individuals (High Net Worth; Insurgents) War – Conflict Challenged Nation-State; Balkanization; Clash of Worldviews

SUPPLY CHAIN – MANUFACTURING TRENDS

Logistics & Fulfillment – Value Chain Threats of Verticalization; Extending Last-mile and Same-day delivery; Uncertain Retailer relationships Empowered Cities – Metro Economies Controlled distribution chains; Regulatory frameworks; Re-zoning for Industry Growth; Localization incentives Additive Manufacturing Low-volume production; Repair- Replacement; Consumerization of Design-Production Energy Transitions Shift to Unconventional Hydrocarbon Supplies; Distributed Power; Portable Power extends Cold Chain Business Model Constraints & Innovations Struggle to capture value within digital network dynamics

Domain Specific