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The Dilemma With Data Ethics : When Too Much Tech is a Bad Thing

Is technology moving too fast? This has been the subject of much discourse since the early 2000s, and never has the debate been more heated. Automation and AI are evolving at a breakneck pace, kids are growing up attached to their phones, self-driving cars are on the horizon, and new technology companies are sprouting up every day. On the one hand, tech does make our lives easier in many ways. But on the other, it seems like its uncontrolled growth could become a problem. The answer lies in[...]


Without Real Diversity, the Future of Machine Learning Is Bleak

On August 26, Americans honored the 1920 ratification of the 19th Amendment, which gave women the right to vote. It was an important step toward equality, yet the democratic process and the business world don’t always mesh in their ideologies. Equality for women, LGBTQ people, minorities, and every other underrepresented group remains an elusive goal. The prevailing U.S. political administration has further compounded these efforts with vociferous condemnations of inclusion, followed by[...]


How Digital Ecosystems Unify the Powers of Traditional and Contingent Talent

Regardless of industry or company size, businesses have come to rely more heavily on contingent talent as specialists and flexible experts rather than temps who fill vacant seats during absences, spikes in seasonal demand or transitionary periods. With increasing frequency, we’re integrating these skilled contractors into our primary workforces. Yet, we still haven’t integrated them into our internal knowledge systems. And that’s a missed opportunity to tap into their intelligence and ideas,[...]


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