People are investing more time and money in personal technology, such as smart speakers, smart watches, wearables, and VR headsets. The Covid-19 pandemic has accelerated our adoption of new technology and increased our reliance on it for social connection, entertainment, and educational experiences. As we spend more time at home, many of us are turning to technology to augment our reality. Wearables -- such as smart earbuds, lenses, watches, rings, bracelets, and even fabrics -- layer biometric data, audio interaction, and visual information over our lived experiences. As wearable technology becomes commonplace in our daily lives, there's an even more intimate connection on the horizon with the rise of the brain-computer interface (BCI). BCIs can connect to a human's brain either internally or externally.

Imagine that your team is meeting to decide whether to continue an expensive marketing campaign. After a few minutes, it becomes clear that nobody has the metrics on-hand to make the decision. You chime in with a solution and ask Amazon's virtual assistant Alexa to back you up with information: "Alexa, how many users did we convert to customers last month with Campaign A?" and Alexa responds with the answer. You just amplified your team's intelligence with AI. But this is just the tip of the iceberg.

In this special guest feature, Venkat Viswanathan, Founder and Chairman of LatentView, discusses how organizations determine when artificial intelligence (AI) should be utilized to amplify human intelligence. Venkat Viswanathan is the visionary behind LatentView Analytics with more than 18 years of experience in management consulting, technology, and global IT services management. He has spent the better part of a decade helping global businesses adapt to the business challenges created by disruptive new technologies. The use of artificial intelligence (AI) applications in business is growing, but AI and machine-learning aren't yet an efficient use for every business task. While there are many aspects of a business which can be automated, and should be automated, tasks that require judgement, prioritization, and trade-offs still require human intelligence.