That’s a lot of books, fiction even. Original source: The Economists books of the year, 2018

That’s a lot of books, fiction even. Original source: The Economists books of the year, 2018

Both companies are “time was” status. Clearly, just a VC roll-up of cash cows: Corel, once publicly traded, is now owned by private equity firm Vector Capital and, in its history, has acquired several other firms and products, including InterVideo, Ulead, Micrografx, WinZip, Roxio and Pinnacle Systems. Parallels’ products include Parallels Desktop for Mac, Parallels Toolbox for Mac, Parallels Remote Application Server and Parallels Access. Original source: Virtualization software company Parallels reportedly to be acquired by Canada’s Corel

Both companies are “time was” status. Clearly, just a VC roll-up of cash cows: Corel, once publicly traded, is now owned by private equity firm Vector Capital and, in its history, has acquired several other firms and products, including InterVideo, Ulead, Micrografx, WinZip, Roxio and Pinnacle Systems. Parallels’ products include Parallels Desktop for Mac, Parallels Toolbox for Mac, Parallels Remote Application Server and Parallels Access. Original source: Virtualization software company Parallels reportedly to be acquired by Canada’s Corel

A private cloud box from Amazon: The Snowball Edge Compute Optimized with GPU includes an on-board GPU that you can use to do real-time full-motion video analysis & processing, machine learning inferencing, and other highly parallel compute-intensive work. You can launch an sbe-g instance to gain access to the GPU. It has Lamda and EC2 capability, targeted at data manipulation and getting it into (and out of?) AWS. There’s a lot of IoT stuff in AWS now, opening their platform up to things like smart cities, power grid management, and thermostats and lights and shit.

A private cloud box from Amazon: The Snowball Edge Compute Optimized with GPU includes an on-board GPU that you can use to do real-time full-motion video analysis & processing, machine learning inferencing, and other highly parallel compute-intensive work. You can launch an sbe-g instance to gain access to the GPU. It has Lamda and EC2 capability, targeted at data manipulation and getting it into (and out of?) AWS. There’s a lot of IoT stuff in AWS now, opening their platform up to things like smart cities, power grid management, and thermostats and lights and shit.

But when it comes to the big storage and core computing contracts, numerous industry experts, venture capitalists and tech executives alike told CNBC that Google's sales team is ineffective, preferring to sell what it thinks is best rather than what customers say they need. “You don’t get paid to be right, you get paid to sell what the customer wants to buy,” said Mackey Craven, a partner at venture firm OpenView Venture Partners in Boston who focuses on enterprise start-ups.

But when it comes to the big storage and core computing contracts, numerous industry experts, venture capitalists and tech executives alike told CNBC that Google's sales team is ineffective, preferring to sell what it thinks is best rather than what customers say they need. “You don’t get paid to be right, you get paid to sell what the customer wants to buy,” said Mackey Craven, a partner at venture firm OpenView Venture Partners in Boston who focuses on enterprise start-ups.

"it was not a question of replacing our experts but of increasing the skills of the group's internal teams," says Thierry Morcq. (Translated with Google Translate.) Original source: How Air France - KLM designed its PaaS Cloud Foundry

"it was not a question of replacing our experts but of increasing the skills of the group's internal teams," says Thierry Morcq. (Translated with Google Translate.) Original source: How Air France - KLM designed its PaaS Cloud Foundry