5G in Perspective A Pragmatic Guide to What’s Next

whitePaper | October 6, 2022

It is not unusual to see software development trends change year after year. The pandemic has only accelerated the whole process, and it seems that the trends are changing even faster. What was once considered as acceptable practice in software development might no longer be the case in the foreseeable future. This is why startup founders and big corporation managers should be aware and well-informed of where all the software industry trends are heading to and how to strategize in the best possible app to develop and place an app.

whitePaper | December 23, 2022

The transformative potential of artificial intelligence (AI) is a kind of truism. Seeking to capture the benefits of the “Fourth Industrial Revolution” or “third wave of the digital revolution,” countries are prioritizing efforts to reorganize their public and private sectors, fund research and development (R&D), and establish structures and policies that unleash AI innovation.

whitePaper | November 17, 2022

Artificial intelligence (AI) has many applications and can help legal teams streamline processes, increase productivity, and reduce costs. But you can’t realize those benefits if your team is unsure – and maybe even a little reluctant – of how AI can support their work.

whitePaper | April 16, 2020

To your credit, you’ve done a little research and picked up a drawing tool here, an inspections tool, a bidding tool, and a financials tool. You’ve embraced the future or The Present, as it’s now called and are keeping abreast of ever-changing best practices.

whitePaper | October 18, 2022

If you have worked in lending for even just the past year, you have already experienced its cyclical nature. Take mortgage lending, for example. Less than a year ago, the main problem facing mortgage originators was how to process high volumes of applications while still observing regulatory compliance and conformance to underwriting policies.

whitePaper | December 15, 2019

The debate between experts over how automation will affect the future of work has been one of the most active cottage industries in labor economics in recent years. Numerous scholars forecast major disruptions of human work; others minimize those impacts. And yet, the field has nevertheless managed to generate a number of shared insights, with none more consistent than the finding that least welloff will suffer automation’s greatest shocks on the labor market.