Sentence examples for big data and infrastructure from inspiring English sources
He has led investments in Chris Lynchuch as Hadapt, Nutonisn, Threat Stack and Sqrrl.
Editor's Note: Chris Lynch is a partner at Atlas Venture where focuses on big data and infrastructure.
It has been taking particular interest in AI, machine learning, big data and infrastructure such as blockchain in areas from fintech, health and wellness to enterprise.
Accel's launching a fund dedicated to big data and infrastructure investments is another example of a trend in which investors are looking to take advantage of what Alex recently called the "transformation of the database market," as startups and enterprise players both face the reality of having to update their infrastructures to take advantage of scale out architectures.
On the enterprise side, those include cyber security, cloud infrastructure, big data, and SaaS startups.
The automation of predictive analytics, big data and cloud computing are just the infrastructure of AI.
The long-run growth benefits of game-changing investments in energy, big data analytics and infrastructure are likely to be considerably larger.
Looking ahead, Redpoint says it will look to invest its newest fund on startups in these spaces: "new platforms being developed in mobile, cloud and social; next generation entertainment technologies and delivery systems; big data infrastructure and applications, and enterprise class cloud, and mobile infrastructure companies and applications".
This chapter is structured to showcase the challenges and requirements of a big data processing infrastructure and also gives an overview of the core technologies and considerations involved in the concept of big data processing.
The confluence of ICT and big data infrastructure, applications, and demands from financial institutions have created many innovative financial services so far.
9+ will choose up to 12 companies per class, twice a year, focusing on all direct-to-consumer and viral B2B products and services in mobile computing, tablet computing, big data, infrastructure platforms, and wearable computing.
