How to define yourself in the workplace of the future

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I almost switched the headline above from “how to define yourself” to “how to brand yourself,” but I don’t think it’s healthy to people to view themselves as a product — because in the age of automation and artificial intelligence (AI), it is our humanity that gives us value. That’s the point made by Aaron […]

Cybersecurity jobs are getting more complicated (and harder to fill)

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Ever since networks began connecting enterprise computer systems, organizations have needed workers who understood cybersecurity. Indeed, people with network and systems security expertise usually have been well-paid and in high demand. As far as technology career paths go, security is one of the best. But as with any technology-related position in the digital era, change […]

Dr. Peter Scott-Morgan work-a-thon update: September 2019

In a groundbreaking initiative with Dr. Peter Scott-Morgan and The Scott-Morgan Foundation, DXC Technology and world-class partners are helping Peter use the most advanced robotics and AI to turn him into what he calls the “world’s very first full Cyborg.” This initiative demonstrates the potential of artificial intelligence (AI) to improve and transform the quality […]

Automating network lifecycle management using AI

Managing devices and policies on a traditional network is a complex, manual task. So, what if we could automate the process leveraging AI? Traditionally, networking has relied on manually setting up individual policies for network devices. Because each vendor’s interface and syntax were unique, network administrators and team members had to learn the syntax for […]

When your corporate strategist is a machine

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Many enterprise leaders are eager to leverage artificial intelligence (AI) to better understand and serve customers, to optimize efficiency, and to help with decision-making. But what if AI itself actually sets corporate strategy? It’s an intriguing notion, one which Forbes contributor Daniel Shapiro explores in a recent column. Shapiro goes into great detail about how […]

Is your enterprise vulnerable to ‘deepfake’ technology? (The answer is yes)

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You get an audio message from your CEO urgently requesting a money transfer. Or the VP of marketing leaves a voice message asking you to immediately send that file containing the company’s product launch schedule to an ultra-secure email address because she’s presenting to the board of directors in 20 minutes. Are you going to […]

Enterprise success in AI requires committed leadership

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Artificial intelligence (AI) initiatives ideally should start as pilot projects of limited scope. This allows enterprise IT pros and involved employees to learn quickly through trial and error, thus minimizing the impact of mistakes and enabling the creation of best practices for large-scale AI rollouts. Alas, problems can persist or arise even after an AI […]

The possibilities of AI: A journey into the future of healthcare

by David Pare Artificial intelligence (AI), machine learning and deep learning have become entrenched in the professional world. AI-style capabilities are being embraced and developed globally (over 26 countries/regions have or are working on a national AI strategy) for many different purposes — from ethics, policies and education to security, technology and industry, the scope […]

Come preparare i tuoi dipendenti per l’arrivo dell’AI

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Una delle principali linee guida dell’innovazione tecnologica è che ogni nuovo prodotto dovrebbe essere presente per supportare l’utente umano, e non viceversa. L’idea di robot che sottraggono posti di lavoro è preoccupante, soprattutto viste le previsioni che sono state fatte su come l’automazione sostituirà milioni di lavoratori, in particolare quelli in posizioni di bassa specializzazione. […]

I modelli di Machine Learning non sono sempre in grado di gestire la realtà (mentre la maggior parte degli esseri umani sì)

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Un numero sempre più elevato di leader aziendali considera l’intelligenza artificiale (AI) e l’apprendimento automatico (ML), tecnologie di trasformazione che possono consentire un migliore processo decisionale, l’aumento dell’efficienza, l’eliminazione dell’errore umano e l’abbattimento dei costi. Per molti dipendenti, tuttavia, le prestazioni incessanti e automatizzate promesse dalle macchine intelligenti incombono come una minaccia sul loro lavoro. […]