Work has a very different meaning today than it did a decade ago. The new-age workplace is distributed, remote working is the norm, and knowledge is increasingly the key driver of productivity. As a result, traditional approaches to information exchange, and training and developing talent are becoming obsolete.
Simultaneously, the increased application of artificial intelligence (AI) in the workplace is helping firms become lean. Using natural language processing, machine, vision and robotic process automation, the first wave of "AI at workplace" companies are automating repetitive, mundane tasks across functions, replacing humans by virtual employees. However, for businesses to thrive in the future, humans and AI must work in tandem.
The next wave of "AI at workplace" startups would help employees become better at their jobs by detecting patterns through machine learning models based on large real-life data sets and plugging gaps in knowledge sharing and training.
Several opportunities exist for such enterprise AI startups that make employee-machine interactions seamless.
Imagine an intelligent sales/customer support coach that is embedded in the existing sales/customer-relationship management tools and keeps learning the ongoing strategies that the best executives in the organization employ. It would be ever-present with the executives during their sales/customer interactions and nudge them with personalized, real-time, and continuously-evolving advice to improve success of the interaction. Imagine intelligent HR assistants that aid recruiters in writing job postings or help managers keep track of employee stress levels and take remedial action.
At Globevestor, we look forward to meeting global-minded entrepreneurs who are building out of India, but tackling global problems in the enterprise space.
Ankur Shrivastava is partner and co-founder, Globevestor.
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