Thoughts

For Machine Learning, It’s All About GPUs image

Isn’t it curious that two of the top conferences on artificial intelligence are organized by NVIDIA and Intel? What do chip companies have to teach us about algorithms? The answer is that nowadays, for machine learning (ML), and particularly deep learning (DL), it’s all about GPUs. In his most recent Forbes Technology Counsel post, SVSG CTO and Practice Lead Bernard Fraenkel ...

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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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Interview with SVSG Financial Services Practice Manager Carter Smyth image

The following post is an interview with SVSG CTO and Financial Services Practice Manager Carter Smyth. Carter is an executive with over 25 years experience building technology teams to solve enterprise challenges in the financial services industry. He has extensive experience leading software development teams, business process reengineering, and global expansion projects. Carter joined SVSG in March 2017.

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Developing Products at Silicon Valley Speed image

Velocity Wins “Ideas are cheap. Execution is everything.” We’ve all heard this quote more than once: in seminars, board rooms, even on television. This is in part, I surmise, because it is particularly relevant to the fast-moving, dynamic world of entrepreneurs, ie.. Silicon Valley. We regularly read about several startups with virtually the same idea getting funded within a 3-month ...

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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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