Analytics: AI & ML

How Machine Learning Will Disrupt The Established Cloud Providers image

Advances in Machine Learning (ML) and Deep Learning (DL) technologies and techniques put greater demand on data centers and ML-optimized compute resources and bring a new wave of disruption to cloud providers. This will impact Amazon AWS, Microsoft Azure and other cloud providers as demand for the SMACK stack (spark, mesos, akka, cassandra, kafka) replaces the LAMP stack for ...

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The 200 billion dollar chatbot disruption (part two) image

In the last post, we highlighted the disruption that chatbot technologies are poised to make in call centers. To recap, we are seeing the trend that Generation X and Y have now shown a preference for text-based communication over voice. This results in consumers increasingly wanting to talk with brands via messaging platforms like Whatsapp and Facebook Messenger. Simultaneously, there has been an explosion of conversational A.I. technology tools and frameworks in which natural language processing can be used to automate customer support inquiries. As the last installment discussed, this trend provides a compelling opportunity for companies to drastically reduce the costs of running their call centers.

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The 200 billion dollar chatbot disruption image

In 2014, Facebook acquired WhatsApp for $19 billion. That astronomical number set off waves of speculation as to what value Facebook could possibly see in a company with just 55 employees and roughly $20 million in revenue, although it had 500 million users. At last week’s F8 conference, that vision became a lot clearer, and it’s big. Chatbots will cause a near-term disruption in how businesses interact with consumers, and a long term paradigm shift in how people will interact with machines.

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