In association with:
Data Protection
Andrew Bevan
results of a survey of more than a thousand C-suite and senior decision-makers around the globe: • 65% of respondents indicated that their organisations were at risk of becoming uncompetitive due to the highly competitive data landscape. • 52% believed that such efforts were hampered due to limitations in their IT development processes. • 64% indicated that big data is changing traditional business boundaries and enabling new providers to move into their industries. • 54% reported that their big data investments over the next three years will outstrip past investments. • 43% have already reorganised or are currently reorganising to exploit new big data opportunities. • 61% acknowledged that big data is a driver of revenue and is becoming as valuable to their businesses as existing products and services. • 24% of companies reported disruption from
Nour Kassassir
new competitors moving into their industry. Collecting data and developing methods to transform that data into useful information will position companies in any industry to maintain market share and disrupt their immediate and adjacent markets, if such companies are willing to invest and act before they are disrupted themselves. AEC companies are some of the most vulnerable to these risks. The industry’s productivity growth rates have flatlined, and construction companies are trying to determine how artificial intelligence and deep learning can increase profitability by optimising construction sequencing and inspection processes while maintaining quality and safety. However, developing reliable and mature artificial intelligence (AI) learning models comes with its own set of challenges. Regardless of such challenges, AI, machine learning and deep learning are here to stay and are gaining momentum. Engineering and construction companies willing to invest their
“Data is the new currency of urban environments and cities. Companies in various industries have recognised that big data drives revenue and is becoming ever more valuable, as it helps them make factbased decisions to stimulate growth”
resources in analysing their bank of existing data, collecting new data from running projects, researching AI, conducting proofs of concept and developing plans to adopt these technologies will position themselves to maintain market competitiveness, grow market share and disrupt their immediate and adjacent markets. At Parsons, we’ve learned the value of enabling smart solutions that can integrate data, services and functionality onto a single unified platform through the deployment of iNET, an advanced transportation management system we have developed. This platform is valuable both for our customers and the people they serve because it generates meaningful, actionable information. Data is continually gathered to detect events on the roads, and with the use of predictive analytics and microsimulation tools, we can predict how the traffic network will perform depending on what actions are taken to address the event conditions (such as rerouting
04 Smart Cities Report 2018
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