business model OPTIMIZE ELEVATE DESIGN INNOVATE

Transcription

1 business model ELEVATE OPTIMIZE DESIGN INNOVATE

2 The Utility of the Future Speakers: Brian Dusek, AECOM Doug Sinclair, AECOM Ian Slesser, Pitney Bowes

3 Digital Imperatives for Next Generation Infrastructure David Swank, CEO of Central Electric Cooperative

4 NEW BUSINESS MODELS - PLATFORM Connections IPC provides a platform for incumbent infrastructure providers and community services to continue as the incumbent by being the collective insurgent (Innovation Pointe Cooperative) Current incumbents face a very challenging task to remain relevant in the face of exponential change, one that puts the entire community at risk if today s decisions do not put the community on the right trajectory. Community leaders must change the trajectory to avoid a death spiral where current assets become a cost vs. a value proposition. (Ref Next Slide) Our one confident prediction is that digital technologies will bring the world into an era of more wealth and abundance and less drudgery and toil. But there s no guarantee that everyone will share in the bounty, and that leaves many people justifiably apprehensive. The outcome shared prosperity or increasing inequality will be determined not by technologies but by the choices we make as individuals, organizations, and societies. Erik Brynjolfsson

5 Digital Imperative Digital Imperative IMPERATIVE #1: NEW BUSINESS CONSTRUCT IMPERATIVE #4: DIGITAL MODELING Digital Imperative Digital Imperative IMPERATIVE #2: COMMUNITY ENGAGEMENT IMPERATIVE #3: MAKING PLACES MATTER Innovation is change that unlocks new value. -Jamie Notter

6 IMPERATIVE #1: BUSINESS STRUCTURE 2018 Innovation Pointe, LLC All Rights Reserved Innovation Pointe, LCA (Limited Cooperative Association) is a business structure that leverages a unique cooperative model, empowering communities and developments. A platform for leveraging collaboration and collective investments in smart technologies, smart infrastructure and smart governance. DISTRUPTIVE STRATEGIES IPC Business Structure Facts Business Strategy The Innovation Pointe Cooperative business strategy is based on capturing the converging and exponential technologies through new ecosystems. Harnessing the full ROR of these investments for communities, organizations and the overall economy. Key Value Propositions: Harnessing new business opportunities that lower CAPEX and OPEX Creating community economic growth and competitive positioning Aligning community needs with smart investments Reigniting grassroots cooperation Platform for confronting complexity MARKET MAKERS DIGITAL OPERATIONAL STRATEGY COOPERATIVE PLATFORM DATA NETWORK ORECHESTRATING

7 IMPERATIVE #2: COMMUNITY ENGAGEMENT Smart Community Source is a blueprint for community planning that engages communities to build a smart and sustainable future. Creating awareness of challenges and opportunities associated with the digital economy. DISTRUPTIVE STRATEGIES Smart Community Source Facts Business Strategy Smart Community Source is a model designed to help communities see the challenges and opportunities more clearly. Leading to digital strategies and investments that position the community for the digital economy. Key Value Propositions: A model that serves as a catalyst for interconnected and intelligent systems Platform for citizen and community leader engagement Create a common community vision and trajectory for success Increasing capacity of a community through the IPC Network of resources. COMMUNITY ENAGEMENT PLAN PEST ANALYSIS COMMUNITY ANALYTICS COMMUNITY OPTIMIZATION PLAN 2018 Innovation Pointe, LLC All Rights Reserved

8 IMPERATIVE #3: PLACEMAKING Placemaking is an engineering and architectural design that uses a holistic planning and collaboration to make places matter. Leveraging smarter infrastructure, smarter technologies, smarter ecosystems and smarter governance. DISTRUPTIVE STRATEGIES Placemaking Facts Business Strategy Innovation Pointe developments (Places) are developed by creating increased intelligence about what makes a place unique, modeling innovations with integration of resources and developing an optimization plan in design, engineering and IoT. Key Value Propositions: Broad territorial vision Developing economies of scale within place Framework for economic growth through collaboration and synergies Anticipating change in innovations Transforming places into destination POINTES INNOVATION ECOSYSTEM PLACE MODELING DIGITAL STRATEGY Place Intelligence PLACE OPTIMIZATION 2018 Innovation Pointe, LLC All Rights Reserved

9 IMPERATIVE #4: SMART POINTES - DIGITAL MODELING A Smart Pointe digital model integrates smart infrastructure and technologies, one pointe at a time. Creating connections between people and the environments they work and live within; smart intuitive buildings, homes and spaces. DISTRUPTIVE STRATEGIES Smart Pointe Facts Business Strategy Smart Pointes represents Digital Modeling for communities and organizations. Enabling communities and organizations to implement smart technologies, one pointe at a time. Focus on data management and analytics that leads to higher levels of optimization and greater ROR. Key Value Propositions: New business revenues Capability framework and digital maturity model Higher productivity and independent asset utilization Enabling big data for analytics, machine learning and digital algorithms Moving the organization and community to a digital economy. DIGITAL PLANNING MODELING DIGITAL ANALYTIC FRAMEWORK DIGITAL ASSET MGMT. DIGITAL OPTIMIZATION PLAN 2018 Innovation Pointe, LLC All Rights Reserved

10 data OPTIMIZATION

11 Micro System Operator STANDARDIZATION NORMALIZATION OPTIMIZATION

12 Ecosystem Framework

13 Rethinking Data Governance to Optimize Asset Management Doug Sinclair, AECOM

14 Effective Asset Management Is all about managing data better! How..? begin with the end in mind!

15 This requires answers to three questions

16 Who is going to use the data? Understand the Problem! Who? What? What data are you going to collect, and when? Define the Solution! How will it be maintained? Ensure Integrity and Confidence. How?

17 WHO IS GOING TO USE THE DATA? UNDERSTANDING THE PROBLEM Who are the Asset Data Consumers in your Organization? Does your organization understand the Stakeholder Roles that will consume the data? What are their business cases? Why they need the data? How they use the data? Simply Put What problem are you solving?

18 WHAT DATA ARE YOU GOING TO COLLECT, AND WHEN? DEFINE THE SOLUTION What data are we going to collect? Move thinking from As-Designed or As-Built to As Maintained or Lifecycle Understanding the end user allows targeting of specific data to capture: Sites: Assessment Date, Owner, ID, Parcel#, Area, Last Survey, Latitude, Longitude, Altitude Buildings: Condition, No., Name, Year Built, Gross Sqft., Address, CO Status, #Floors, Rating Rooms/Spaces: Condition, Room No., Name, Dept., Condition, Area, Floor, Last Inventory Assets: Condition, Asset ID/Tag, Manufacturer, Model, S/N, Cost, Purchase Date, Warranty Info, Performance Criteria Develop an organizational data standard and require your designers and builders to use it.

19 WHAT DATA ARE YOU GOING TO COLLECT, AND WHEN? DEFINE THE SOLUTION At what point are you going to capture the data? When is the data available in the process and in what formats? Design Intent Data Data from Construction Handover Commissioning and Performance Validation Operations & Maintenance Which Stakeholder can best capture that data? How do we aggregate the data?

20 HOW WILL THE DATA BE MAINTAINED? DEFINE THE SOLUTION Maintaining the Data Guard against data for data s sake If the information isn t used or can t be maintained, why capture it at all? Owner must implement common data environment for asset data. Consider source data from vendor authoring technologies and platforms Ultimately must accommodate Owner s platform

21 Building on the Foundation of Asset Management Ian Slesser, Pitney Bowes

22 The Path to Connected Systems DIGITAL ANALYTIC FRAMEWORK DIGITAL OPTIMIZATION PLAN Smart Decisions Full Network Analysis DIGITAL PLANNING MODELING Foundational Asset Data DIGITAL ASSET MGMT.

23 Understanding your Assets Assets Location Place Intelligence Plans & Schedules Incidents Capacity Condition Defects & Jobs Weather Other

24 Understanding your Network Customer Inquiry Planned Scheme Inspection This Week Inspected Defect

25 Making your Network Smart Monitoring Sensors Stream Analytics Conditions & Defects Machine Learning

26 Smart City Placemaking Planning and Infrastructure Brian Dusek, AECOM

27 Smart City Placemaking What is it all about? Enhance Efficiency Improve Mobility Increase Connectivity Reduce Carbon Emissions Save Money Optimize Power Use Improve Ops Performance Conserve Water Achieve Resiliency Address Safety Improve Air Quality Promote Culture

28 Cities Today Building Automation System (BAS) runs independently Very Limited smart infrastructure is currently in-place. Vehicles have very limited autonomy (Level 0-3). Limited access to public transit. Parking is at a premium. SEPARATE NETWORK SYSTEMS VEHICLES ACHIEVE AUTONOMY LEVELS 2-3 INFRASTRUCTURE OPERATES INDEPENDENTLY FROM ITS USERS BAS RUNS INDEPENDENTLY

29 Smart and Connected Cities of Tomorrow VEHICLE INFRASTRUCTURE BUILDINGS NETWORK/CLOUD and PARKING Forward Collision Warning Achieving Level 5 Autonomy Blind Spot Monitoring Adaptive Headlight Cooperative Adaptive Cruise Control Automatic Emergency Braking Smart Parking Smart Mobility Kiosks Geofencing Wi-Fi Emergency Situational Awareness Auto Parking Traffic Signal Coordination Predictive Analytics High Performance Buildings (new and retrofit) Building-to-Infrastructure communications Building-to-Employee communications Optimized building automation systems Electric Vehicles Centralized smart-andconnected cloud network Scalable Smart City Ecosystem

30 Smart and Connected Cities of Tomorrow Domain Systems Data Models, Simulation Tools, CapEx and OpEex Costs Urban Analytics Decision Support Tools, System Integrators, Feedback Loops Citizen Engagement Social Media, Crowd Sourced Data, Response Feedback Digital Infrastructure Networks, Data Models, Databases, Sensors

31 Smart and Connected Cities of Tomorrow SMART ENERGY SMART MOBILITY SMART PUBLIC SERVICES SMART WATER SMART BUILDING S SMART INTEGRATION Power, security, building, I.T and process management systems integrated architecture Integrated city management platform for mobility Security systems and management Energy and environment management information system Weather intelligence High Performance Master Planning

32 Innovation Pointe Campus Stillwater, OK

33 Innovation Pointe Campus Stillwater, OK

34 Stillwater Innovation Pointe Urban Framework

35 Stillwater Innovation Pointe Mobility Framework

36 Stillwater Innovation Pointe Integrated Water Framework

37 Stillwater Innovation Pointe Food/Energy/Waste Framework

38 Stillwater Innovation Pointe Putting it all Together