π₯οΈπποΈ DAY 16 - Digital Twins & Financial Forecasting
Data reduces uncertainty.
π Predictive modelling
π Revenue simulation
ποΈ Asset lifecycle insight
Digital intelligence strengthens capital confidence.
It's Construction Finance Month at Highways_Today
#ConstructionFinanceMonth#DigitalTwin#InfrastructureData
Have you heard? Ontario consumes approximately 164 million tonnes of aggregate every year! This level of demand reflects how deeply aggregate is tied to population growth and development across the province. ποΈ GravelFacts.ca notes that this works out to roughly 12 tonnes per person annually, driven by the need to maintain and expand communities. Planning aggregate supply close to growth areas helps support timely and efficient infrastructure delivery. π@_OSSGA β¨ #OntarioGrowth#InfrastructureData#OSSGA#AggregateSupply#CBM
Incomplete data is a common stopgap to utility efficiency. AI integration and drone inspections are some ways that companies are collecting missing data cost-effectively. These innovations are allowing hidden asset conditions to be discovered and remedied at scale. In this @zeitview sponsored Factor This webinar, panelists Lira Park and Brenda Green break down how integrating AI into utility workflows is unlocking a new level of efficiency. Free to watch on-demand!
Register to watch for free: πow.ly/nV4250XGVnj#AIinUtilities#VisualInspections#InfrastructureData#UtilityInnovation#GridVisibility
I now see more clearly why @brevis_zk is a real game changer in the field of ToM.
Within a single infrastructure:
β’ With ZK Infrastructuredata becomes verifiable while remaining confidential.
β’ Thanks to On-chain Data Computation, secure calculations can be made between raw data on the chain.
β’ Cross-chain Analytics opens new areas of use by analyzing multiple blockchain data at a single point.
β’ Brevis Sparks creates an economy that fosters community and grows active participation.
β’ Proof of Data proves the accuracy of the data source and eliminates the trust problem.
β’ Data Privacy Layer makes this entire process privacy-oriented.
In my opinion is not just a ZK coprocessor it makes the trifecta of data privacy cross-chain analysis verifiable computation the new standard for Web3.
Infrastructure projects data accessibility in the right format, time, place, and cost, and poor attitude of Procurement Entities to disclose data account for 72% of challenges in disclosing #infrastructuredata in Uganda. -@CostUgChapter#InfrastructureTransparency#COSTUg
INFRASTRUCTURE: According to the study done by @CostUganda, 77% of respondents thought that the level of disclosure was low, while 18% opined that the level was moderate. Only 5% of the respondents rated the level of disclosure of #infrastructuredata in #Uganda as high.
#CostUg
Professor Stephen Hallett of @CranfieldUni University reflects on DAFNI: Data & Analytics Facility for National Infrastructure
"DAFNI will be a tremendous repository of data as well as the models and functionality to run them". #infrastructuremodelling#infrastructuredata