Using AI Deep Learning to Leverage Big Data for Investment Attraction

whitePaper | November 23, 2022

Artificial intelligence (AI) and machine learning (ML), along with data analytics, are widely seen as a way to tackle everything from daily inefficiencies and low productivity, to advancing healthcare and climate change mitigation. As more organisations look to leverage their data more effectively, demand for people with data capabilities is only going to grow

whitePaper | August 23, 2022

Digital transformation has moved businesses from a mode of retrieving and organizing critical information in conventional data stores to a new goal: capturing and storing every bit that passes through the business. The number and diversity of data sources are constantly expanding. New horizons are recognized in data as a raw resource with potential for value creation, even if specific points of value cannot yet be discerned.

whitePaper | December 9, 2022

In Data Governance Methodology, we described why a modern active data governance methodology is superior to a traditional top-down methodology and how active data governance is supported by continuous improvement. We also discussed how a data governance process based on continuous improvement is a key component of a DataOps process.

whitePaper | February 10, 2022

Modern data governance leaders are searching for the role that governance should play in delivering high-quality data.

whitePaper | December 28, 2022

StreetLight Data, Inc. (“StreetLight”) pioneered the use of Big Data analytics to shed light on how people, goods, and services move, empowering smarter, data-driven transportation decisions. StreetLight's proprietary data processing engine, Route Science® algorithmically transforms its vast data resources to measure travel patterns of vehicles, bicycles and pedestrians, accessible as analytics on the StreetLight InSight® SaaS platform. StreetLight provides innovative digital solutions to help communities reduce congestion, improve safe and equitable transportation, and maximize the positive impact of infrastructure investment.

whitePaper | October 18, 2022

We talk about striving to be data driven. But in doing so, we’ve skipped an important step. Today, we must first aspire to be data-sharing organizations. That means becoming businesses where data is easily and proactively shared with every relevant person. Otherwise, there will be no driving possible. We’ll be left in the dust, lacking the gas — the data — to fuel us ahead in the digital economy. Gartner® said, “According to the Sixth Annual Gartner Chief Data Officer Survey,1 respondents who successfully increased data sharing led D&A teams that were 1.7 times more effective at showing demonstrable, verifiable value to D&A stakeholders.”