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Episode 1: Time to Solidify Your Digital Workplace Strategy

#artificialintelligence

Technology buyers see the potential for a solid digital workplace foundation. Small prototypes and niche use cases have drummed up significant interest in what is possible with digital workspace services. But before buyers can implement new technologies in this space, they must take a step back and ensure their digital foundation is up-to-date and scalable. Our speakers, Saurabh Sharma, Director and Head โ€“ Product Management of Digital Workplace Services at HCL Technologies, and Dave Smith, Founder and Principal Analyst at InFlow Analysis, kick off their discussion about the digital workplace with a quick review of the past year. "This was a watershed year .. no one had anticipated that the world would go remote," says Saurabh. "All organizations have to rethink their work, the strategy, they have to recalibrate workplace resiliency. But despite what we all witnessed, there are still the positives that I would want to focus on, such as accelerating the pace of workplace transformation."


Think there's no bias in your hiring process? AI says think again - HR Executive

#artificialintelligence

When Jahanzaib Ansari was looking for work in 2016, his resume was not the problem. Despite a CV boasting experience as a programmer and attending the University of Toronto, Ansari's job search soon hit a dead end. At the suggestion of a friend, he changed his first name on his resume and saw almost immediate results. "I wouldn't hear back from employers until my [colleague] said, 'Why don't you just Anglicize it?' I went with variations of Jason, Jordan, Jacob, and literally in four to six weeks, I got a job," says the CEO of Knockri, a technology firm that created an artificial intelligence tool that aims to reduce bias in the hiring process.


#Enterpriseof1: The Future of Work Augmented with Machine Learning

#artificialintelligence

With a large amount of information all over the web, it can be quite difficult to keep up, especially for enterprises that depend on data analytics for better decision making. While some companies might be able to work with some software tools, others that deal with "Big Data" always struggle with managing and filtering non-essential information. This growing concern has affected all departments of organizations from supply chain to human resource management, and also led to the emergence of unique concepts such as Enterpriseof1. Enterpriseof1 is the future of work. Data analytics, Machine Learning and Algorithms are the enablers.


How worried should we be about AI?

#artificialintelligence

Touch a penny to a live electrical plug: that's what Alexa told a 10-year-old child who asked it for a challenge to do. Amazon's virtual assistant made the headlines in a bad way last month after reportedly scraping this'challenge' off TikTok and regurgitating it wholesale. Alexa's gaffe recalls Microsoft's Tay chatbot, which had to be taken down in 2016 after learning to swear and spew extremist ideology from Twitter. Almost six years separate the two incidents, and machine learning should have long since advanced beyond returning such wildly inappropriate responses. It's an important consideration now that AI has become the foundation of multiple workplace tools, especially recruitment and retention.


Future of work: Five new features of your remote workplace in 2021

ZDNet

COVID-19 has turned the world of work on its head, with many of us having spent most of 2020 separated from our colleagues and logging-in to greet each other every day from our bedrooms, living spaces, and other cobbled-together places of work. It's a year that has asked a lot of us all, and with 2021 now โ€“ somehow โ€“ on the horizon, many will be wondering what the next 12 months has in store. One thing seems certain: the new remote-working landscape hastily hammered out by 2020 won't be disappearing any time soon. In fact, working from home at least part of the time looks set to be the new way of doing things for the foreseeable future. And while organizations might have a better grasp on the technical challenges than they did at the start of the year, there is still a litany of issues to overcome if we want to make this "new normal" truly work.