The speed of technological evolution has led to some sensitive ethical quandaries related to privacy in recent years. Governments are only now beginning to address the gray areas created by digital data collection and handling through new laws such as the EU’s General Data Protection Regulation (GDPR) and the California
A 2016 report by the United States Government Accountability Office showed that technical debt has taken a serious toll on government agencies. Outdated legacy systems create security vulnerabilities, contribute to operational inefficiencies, and hinder the responsiveness of agencies to their clients. While an upgrade from a decades-old system does require
Logistics managers face a host of challenges that can eat away at efficiency and diminish returns. In order to overcome the most costly and complex obstacles to optimal operations, high-performing logistics companies rely on emerging software, predictive analytics, and augmented intelligence.
Modern businesses face a growing number of existential threats, from large scale natural disasters like hurricanes and inland flooding to human-created hazards like catastrophic IT failures. According to FEMA, on average half of all small businesses struck by a disaster never recover. The costs and losses prove too much. However,
In 2017, the research firm Gartner predicted 2018 would mark the dawn of a “democratization of AI.” The company’s prognosis for 2019 points to the disruption of industries and the adoption of new business models. While some forecasters warn of future job losses and other unintended consequences of AI adoption,
Companies in the oil and gas industry operate on a paper-thin profit margin, and the struggle has only increased in recent years. Advanced data analytics, however, is creating new opportunities in the industry to reduce costs, improve returns, and mitigate risks.