search.noResults

search.searching

note.createNoteMessage

search.noResults

search.searching

orderForm.title

orderForm.productCode
orderForm.description
orderForm.quantity
orderForm.itemPrice
orderForm.price
orderForm.totalPrice
orderForm.deliveryDetails.billingAddress
orderForm.deliveryDetails.deliveryAddress
orderForm.noItems
Ideas to Reality®


most convenient parts of the city for the highest amount of revenue opportunity. I can open up the bid based on what I think is reasonable and offer various bidding opportunities, such as a 24-hour bid or a three-day bid. Regardless, the opportunity is there for citizens to determine if they are willing to pay $40, for example, to park directly in front or if they would pay the parking garage $20 to park a quarter of a mile away. The beauty of this is that I have now moved from a $2 or $3 meter to a $20 or $40 revenue opportunity against the same parking spaces. This is an excellent example of a city being smarter in delivering digital services to its citizens. A process as simple as bidding out parking spots and giving a valuation on a space based on its convenience could potentially generate 1,000 times what it would if it only utilized credit card meters.


This example can also be applied


to water meters, gas meters, energy efficiency, and many other scenarios. The key is determining how much intelligence can be driven toward insight as you monitor what you measure. Such can be done through sensor technologies that physically attach onto or in the vicinity of a physical object or infrastructure that creates the ability to mimic or control data collected from the state of that particular object. Over time, it will drive down overall costs because cities will be able to move toward a predictive state. This will give the city the ability to leverage its R&D investment to address any problems versus going into a deep state of analysis to try to figure out what’s going on. Patterns of recognition can be


derived based on the data that particular sensors send back to home base, where data is being collected against every object and piece of infrastructure equipment available. In turn, the city’s next generation product will be that much smarter because it is harnessing insights from its products in real time to drive what happens next in terms of the next generation of product innovation. That, to me, is a smart city. S


www.blackengineer.com


We seek creative engineers, scientists and software specialists to develop innovative products and forward-thinking solutions.


ENSCO, Inc. and its wholly owned subsidiaries deliver engineering, science, and advanced technology solutions for the national security, rail, avionics and aerospace industries.


ensco.com


An EO/AA employer committed to Diversity in the Workplace. All qualified applicants including minorities, women, individuals with disabilities, and veterans are encouraged to apply. ENSCO, Inc. and its wholly owned U.S. subsidiaries are Equal Employment Opportunity/Affirmative Action employers and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.


CONFERENCE ISSUE 2018


I USBE&IT 79


Page 1  |  Page 2  |  Page 3  |  Page 4  |  Page 5  |  Page 6  |  Page 7  |  Page 8  |  Page 9  |  Page 10  |  Page 11  |  Page 12  |  Page 13  |  Page 14  |  Page 15  |  Page 16  |  Page 17  |  Page 18  |  Page 19  |  Page 20  |  Page 21  |  Page 22  |  Page 23  |  Page 24  |  Page 25  |  Page 26  |  Page 27  |  Page 28  |  Page 29  |  Page 30  |  Page 31  |  Page 32  |  Page 33  |  Page 34  |  Page 35  |  Page 36  |  Page 37  |  Page 38  |  Page 39  |  Page 40  |  Page 41  |  Page 42  |  Page 43  |  Page 44  |  Page 45  |  Page 46  |  Page 47  |  Page 48  |  Page 49  |  Page 50  |  Page 51  |  Page 52  |  Page 53  |  Page 54  |  Page 55  |  Page 56  |  Page 57  |  Page 58  |  Page 59  |  Page 60  |  Page 61  |  Page 62  |  Page 63  |  Page 64  |  Page 65  |  Page 66  |  Page 67  |  Page 68  |  Page 69  |  Page 70  |  Page 71  |  Page 72  |  Page 73  |  Page 74  |  Page 75  |  Page 76  |  Page 77  |  Page 78  |  Page 79  |  Page 80  |  Page 81  |  Page 82  |  Page 83  |  Page 84  |  Page 85  |  Page 86  |  Page 87  |  Page 88  |  Page 89  |  Page 90  |  Page 91  |  Page 92  |  Page 93  |  Page 94  |  Page 95  |  Page 96  |  Page 97  |  Page 98  |  Page 99  |  Page 100  |  Page 101  |  Page 102  |  Page 103  |  Page 104  |  Page 105  |  Page 106  |  Page 107  |  Page 108  |  Page 109  |  Page 110  |  Page 111  |  Page 112  |  Page 113  |  Page 114  |  Page 115  |  Page 116