How One of NYC’s Oldest Real Estate Firms Went High-Tech

July 8, 2019

A large real estate firm in New York City created a private operating system to better crunch and report its data, and machine learning and mobile technology to maximize cost savings and keep tenants comfortable during all seasons.

Fighting Fire’s Fury With Data

July 2, 2019

Experts across the globe are turning to data and transformative technologies like machine learning to predict, prepare for, and manage disasters that follow wildfires. Learn how emerging technologies are transforming satellite information to deliver data far faster and with more detail than ever before.

Welcome to the Data Era

June 17, 2019

How one technology leader describes the importance of data to predict the future, understand the past and succeed in a smart world. John Roese, President and CTO, Dell EMC, welcomes us to the data era.

From College Campuses to Sports Stadiums, IoT May Hold the Key to Public Safety

June 12, 2019

Technology plays a critical role in addressing public safety emergencies, from surveillance cameras to biometric scanners. But it’s the Internet of Things that enables such devices to be connected, allowing for real-time threat monitoring and faster, smarter response tactics that keep the public—and those tasked with protecting them—safe.

Building a Roadmap for Effective Reskilling in the AI-Infused Workplace of Tomorrow

June 5, 2019

More than 60 percent of business leaders expect an increase in the number of roles requiring collaboration with AI by 2021, yet only three percent are planning significant investment in training programs. Here’s a look, and a few concrete steps, at how employers can ready the roadmap for reskilling current talent for the workforce of the future.

A Brief History of AI, From French Philosophy to Self-Driving Cars

May 30, 2019

Artificial intelligence and machines’ ability to reason to has come a long way since French philosopher René Descartes pontificated this concept nearly 400 years ago. Learn how significant amounts of research, government funding and increasing computational power has advanced human-machine partnerships to where they are today, and where they are headed next.