VCs predict top 10 future tech trends
Top venture capitalists from Silicon Valley including David Cowan, partner at Bessemer Venture Partners, Venky Ganesan, MD at Menlo Ventures, Alfred Lin, Partner at Sequia Capital, Steve Jurvetson, MD at Draper Fisher Jurvetson, at a Forbes event, elucidated the top 10 tech trends they are very kicked about. Forbes quoted the VCs’ picks are:
EyePhones will replace iPhones: Eyephone not iPhones will impact our lives. Facial computing will be the next big thing instead of graphic computing.
The “Right Now” economy: Consumers will move from a “plan ahead” economy to a “right now” economy. As a result, there will increased popularity of Twitter, Waze, Uber, and Skout.
Machines replacing humans: Big Data and sensors everywhere are only useful if we have machine learning to make it meaningful. Humanoid robots will enter the workplace. Jurvetson said that that’s the whole point of machine learning is that it gets taught and then does the job more consistently unlike humans who are prone to error.
The individual revolution: Technology has given us the tools to get work done individually that once required large organizations. All these productivity tools enable individuals to be a much bigger business presence.
The U.S. is the supreme cyber security force: This trend predicts a threat of cyber-wars between the US and other countries. The panelists were divided on this view-point.
Cyber warfare becomes a good thing: Cyber missions are instant, effective, relatively free, and non-lethal. This will completely disrupt the defence industry. There would be greater opportunities for start-ups to handle these threats resulting in hackers being heroes.
Certifications, not diplomas: The emergence of Massively Open Online Courses (MOOCs) and other online educational sites such as Coursera, and Udacity, means the future will be deﬁned what you know and not your degree. The other panelists were divided on this issue because diplomas are still a signal used to assess people and potential.
Erasing the digital divide: This could have serious implications on the rich-poor divide. The effect of the digital divide may force governments to tax the rich to resolve this rich-poor gap.
Personalised medicine: The ability to cheaply sequence genomes means we will solve a lot of diseases. Machine learning and Big Data will allow us to understand this data and the medicines we need to fix our diseases. However, one panelist said we still can’t process the interplay among all these genes.
Wearable computing is the Watch, not the glass: Most panelists disagreed on this trend as phones can be utilised way more that wearable digital smart watches.
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