Making the Internet of Things Real for Business. Chad Jones Vice President, Internet of

Transcription

1 Making the Internet of Things Real for Business Chad Jones Vice President, Internet of

2 Internet Evolution Wave 1: WWW 900M PCs Wave 2: Mobile/Cloud ~5.8B Devices Wave 3: Internet of Things 50B by 2020* Connecting PCs Connecting People Connecting Everything *Machina Research Connected Life Study 2012

3 25 billion devices by 2020 Market impact $4.5 Trillion by 2020 will surpass the mobile phone market 1 Trillion devices by 2025 Cisco predicts $19 TRILLION impact Largest Technology Market Ever

4 The Power of the Small Internet connected Sensors and control motors Long battery life Wearable

5 Sensors and Controllers Everywhere!

6 How is IoT different than M2M? Power to the people through the revolution of the cheap Open Ecosystems & Leveraged Innovation Decoupled and layered hardware, services, cloud, more Interconnected everything

7 The Internet of Things is irrelevant! Goodnight and check out New York!

8 Connecting things on the Internet is not enough.

9 The Internet of Things is about transforming businesses (and lives).

10 Internet Evolution Internet of Everything 10

11 Carbon Based Subjective Sensors Internet of Everything 11

12 Holistic Business Transformation Businesses can be holistically transformed by understanding and applying the complete value a connected solution provides Sales Customer retention Experience-based billing, variable pricing Up-sell, cross-sell Expand market share Operations Break/fix cycle management Device lifecycle management Supply chain optimization Service Predictive maintenance Remote service & support Service chain optimization Finance Chain of custody, audit trails Real-time revenue recognition Risk & compliance management Marketing Behavior-based insights Highly relevant targeting Advanced attribution modeling Feature usage & demand analysis Product road-mapping Quantitative field testing Product Development 12

13 New England BioLabs Supplies DNA experiment components via on-premise freezers at research laboratories across the country. Vertical Healthcare & Life Sciences Employees 300+ Headquarters Ipswich, MA 13

14 Connected Laboratory Supply Chain Issues Customer Accelerate experiments with pre-made reagents Ordering is a manual exercise and requires researcher time Massive catalog is confusing and demotivates purchase Researchers must store and inventory products themselves New England BioLabs On-premise reagent supply levels are unknown Unfilled orders drive customers to competition Delivery time slows customer satisfaction Expanded ordering relies on general sales and marketing

15 IoT Primitives 15

16 Eureka! The Internet Connected Freezer! 16

17 Connected Solution Perception vs. Reality NEB s initial perception was to simply Internet-connect freezers Devices Connected Freezer Cloud Application Data Storage Web Application Functionality Inventory State Record activity Monitor supply Call customer for orders Order stock for delivery Perception

18 Steps to Building Complete IoT Solutions Building a holistic solution is complex and time consuming 18

19 Minimal Results Inventory state is understood Personnel still involved in supply chain Customer still confused Service chain cost is INCREASED What happens if the freezer fails? Who s using what, when and in what context? 19

20 Minimal Results Inventory state is understood Personnel still involved in supply chain Customer still confused Service chain cost is INCREASED What happens if the freezer fails? Who s using what, when and in what context? 20

21 Connected Solution Perception vs. Reality NEB s initial perception was to simply Internet-connect freezers Devices Connected Freezer Cloud Application Data Storage Web Application Functionality Inventory State Record activity Monitor supply Call customer for orders Order stock for delivery Perception

22 Connected Solution Perception vs. Reality Maximizing business value requires holistic thinking and interconnection between multiple systems Devices Connected Freezer Data Storage Cloud Functionality Lock/unlock doors Open/Close Monitor Component Monitor Inventory tracking Record activity Application Web App User interface CRM Salesforce ERP Lifecycle Management Epicor LogMeIn Business motion and tracking hub Automated product delivery Device update, provisioning, etc. Operational Remote control and monitoring Historical and real-time analytics 1:1 relationship with user Usage/non-usage history Freezer monitoring Sales tracking Service automation Marketing automation Supply chain automation Remote support, Break/Fix, lifecycle Perception Reality 22

23 Xively Accelerates Building Connected Solutions Devices Connected Freezer Data Storage Cloud Functionality Lock/unlock doors Open/Close Monitor Component Monitor Inventory tracking Record activity Application Web App User interface CRM Salesforce ERP Lifecycle Management Maximizing business value requires holistic thinking and interconnection between multiple systems Epicor LogMeIn Business motion and tracking hub Automated product delivery Device update, provisioning, etc. Operational Remote control and monitoring Historical and real-time analytics 1:1 relationship with user Usage/non-usage history Freezer monitoring Sales tracking Service automation Marketing automation Supply chain automation Remote support, Break/Fix, lifecycle Reality Reality with Xively 23

24 New England BioLabs Architecture REST HTTPS REST MQTT Gateway

25 Transformative Results Expand Revenue, Optimize Operations and Delight Customers Detailed usage profiling drives customer intimacy and satisfaction Instant product availability and optimized supply chain with just-in-time re-stocking Incremental product up-sell, cross-sell through highly-relevant marketing Optimized service chain with predictive maintenance and proactive repair Researcher usage analysis drives future product roadmap 25

26 The Interconnected Future 26

27 Historic paradigm shift Internet connected products do not provide full value Must exhaustively research use case Business system integration is key Data fueled automation in context provides transformation Broad use cases apply across all sorts of use cases 27

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