Artificial Intelligence Will Drive the Next Disruption Wave

Artificial Intelligence Will Drive the Next Disruption Wave

Technology innovation and breakthroughs manifest themselves through disruption. Powerful new technologies have a way of making the old ones irrelevant. Everyone in tech is well aware of this fact.  This was the case with the emergence of the web in the 90s and social-mobile in the 2000s. The current wave is driven by Artificial Intelligence (AI) as the technology that will transform industries as we know them and create new ones we have yet to imagine.

Pervasive Connectivity and Artificial Intelligence

The widespread adoption of smartphones and the exponential growth of devices with sensors and internet connectivity create a new paradigm, which we at Glasswing Ventures call Pervasive Connectivity. In this emerging paradigm, consumers and enterprises are always connected with continuous access to data and the internet through a multitude of form factors from phones to cars to appliances and wearables, or the internet of Everything (ioE), as the term goes.

Pervasive Connectivity is generating exponential growth in data, becoming a major foundation for the adoption of AI technologies. In the recent past, we have seen the emergence of machine learning, and particularly deep learning – the ability for computers to learn using deep artificial neural networks inspired by how human brains work – across marketing technologies, e-commerce, in the enterprise and, increasingly, on the consumer side.

The increased adoption of machine learning in technology products and platforms has 3 main drivers:

  • Exponential growth of processing power, driven by Moore’s law and the usage of GPUs, which are particularly well-suited for deep learning
  • Explosion of data due to Pervasive Connectivity, enabling the usage of larger initialization datasets to improve learning and performance
  • Advancement in machine learning and related technologies
  • Ever increasing storage capacity and declining costs thanks to cloud computing

While machine learning is critical in AI adoption, it is not the only area of AI that is product and mass market ready. Advancements in computer vision, speech recognition, natural language processing, social cognition, machine reasoning and machine navigation, are all AI technologies driving the creation of new products and experiences for consumers and enterprises.

The AI Opportunity             

The transformative nature of AI technologies will be far reaching.  AI will drive an entirely new wave of applications and platforms that can revolutionize human-computer interaction, and like the web and the social-mobile waves, redefine entire consumer and enterprise markets. In fact, we expect this impact to be so big that, in the future, AI will be a layer prevalent across application, which will create a need for all major technology companies to have AI as part of their core product. We have already started to see examples of these new applications in enterprise software from sales and marketing technologies to privacy and security solutions. For consumers, we are experiencing the onset of a new era with consumer robotics and, in a not too distant future, the incorporation of AI across even more varied form factors.

As AI continues to pervade our everyday lives, the younger generation will be “AI natives” - much like the prior generations of “mobile and digital natives”. They will have a redefined relationship with technology, which will further remove elements of friction in daily activities, making room for increased productivity and creativity.

From a venture capitalist’s perspective, AI creates a unique opportunity across industries for consumer and enterprise markets. Its potential is endless enabling innovators and investors to harness a new era of technology disruption, which will create massive new markets and, fundamentally, shape the world that we live in.

Jonathan Roosevelt

Managing Director at Industry Ventures

7y

Well written. I absolutely agree. Exciting new world. Also great advancement in API management tools have helped drive easier data integration.

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Eliot Weinman

CEO, Trends Equity, Strategic Advisor, Institute for Experiential AI

7y

Rudina, you've summarized the opportunity and trends nicely (btw, i count 4 main drivers above :-) ) We are doing our best to cover the emergence of AI solutions and their impact on enterprises as you know thru AI World - aiworldexpo.com - and hoping to find a place on agenda for you. I like Joe Sprute's comments below but I'd say that there is so much AI embedded behind our social media, searches, shopping and mobile experiences today that you can clearly claim it has been quietly disruptive for several years (but still just the tip of the iceberg).

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Andrea Grande

Employee Experience and Business Growth - Expressed opinions are my own

7y

Excellent article and with my experience, I can certainly agree that increasing use of big data means artificial intelligence will play a huge role in future disruption. Artificial intelligence and machine learning have already been heavily integrated into our human resources/workplace analytics solution to great effect (see StatusToday, free live demos available here bit.ly/2aduoRn). Machine learning not only allows for the identification of common workplace problems that often go unnoticed (communication breakdowns, dips in productivity, cybersecurity issues etc.) but if you can construct psychological profiles using merely metadata from user activity, you can paint a pretty nuanced picture of what separates your company's top performers from its bottom ones.

roberto gallardo molina

superintende eléctrico en Worley ingenieria y construccion

7y

Buen articulo gladys, saludos

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