The way we work is constantly evolving. And thanks to the pandemic, we have gotten a glimpse of what the future of work looks like, already. The next-generation workplace would indeed be driven by AI and ML technologies. From hiring to training to increasing productivity, everything will be transformed. Needless to say, a lot of focus would be on interconnected global locations, established seamlessly through these technologies.While the possibilities are endless, here’s a quick look at the significant transformations that would redefine the future of work.From VC to VR: We have embraced video conferencing, beyond its limitations in the past year or two. But the growing need to have platforms/tools that are better than in-person communications is leveraging the best that augmented/virtual reality could bring in. Several innovative companies are working towards making real-time remote communication tools like life-sized holograms available at affordable price points. The versatility of Hologram technology takes it beyond conventional workspaces to revolutionize diverse industries such as entertainment, marketing & advertising, sports and medicine. The global Hologram market size is projected to reach US$ 186 million by 2027, from US$ 60 million in 2020, at a CAGR of 17.5% during 2021-2027. India’s holographic imaging market was valued at USD 11.8 million in 2017. AI in HR Automation: More and more companies are offering permanent WFH. In such scenarios, an engaged workforce would become the holy grail to success. AI can play a huge role in harnessing employee engagement. While companies have already adopted AI-driven hiring and training processes, the trend now is focused on analyzing a candidate’s “organizational cultural fit” and reducing employee attrition. Predictive models could analyze a collection of data points about a company’s past and current employees, and generate a score for each based on how likely they are to quit their job, alleviating the turnover headaches.Machine learning in business communication Chatbots – While allowing further flexibility to communicate with customers, chatbots are expected to reduce the cost of customer service for businesses by 30%.Customized channels – ML would be used to identify the patterns to understand which clients are most likely to respond to specific approaches (voice call, video call, etc.), along with the preferred time of the day for a positive interaction.Surpassing email filters – ML allows companies to cut through the clutter and to make it to relevant clients’ inboxes. Of course, companies have to ensure that their email marketing campaigns are delivering authentic and high-quality content.Insight generation – Machine learning algorithms analyze these communications and interactions to provide concerns on the decision-making process. It creates a higher degree of insights than feedback and survey forms. The un-unified digital workplace: Companies have been on the lookout for unified platforms to ensure “anyone can work with everyone, on anything, from anywhere”. While an all-in-one platform is an ideal, experts predict the trend to go back to specialized, point solutions. The focus would be on creating the best intuitive solutions, for specific requirements. Needless to say, this is easily attained by AI/ML technologies.It’s evident that these technologies will bring the future of work closer. The critical question is ‘would AI take our jobs’?Contrary to common belief, AI is poised to create more jobs. A research by PwC suggests that AI will add more to global GDP by 2030 than the combined current output of China and India. It’s about maximizing human outputs as opposed to replacing it!
The future of work isn’t just pertaining to the select few who sit in the comfort of homes, with high-speed internet like you and me. It is also for the millions of unsolicited employees in factories, hospitals, government offices and more who deserve a chance to be part of this new normal, and new future. – Sindhuja Balaji, IndiaAI
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