Artificial intelligence (AI) will act as an enabler and help accelerate IoT projects, according to VMware's IoT lead. To that end, VMware will work to provide both AI-enabled infrastructure technology as well as leverage AI to optimize the technology it develops and delivers to customers, according to Mimi Spier, vice president of IoT business for VMware. "The ability to get data out of things and the amount of impact you can have when you start to use IoT and AI together is quite profound," Spier said. "For the future, to achieve the picture I just painted, you have to have a flexible, manageable, scalable, secure foundation that enables us to do things on the edge … as well as deeper learning in the cloud." Spier lent her impressions on AI and IoT projects during a recent interview around a PWC report that shed a positive light on AI and job creation, with the report's authors concluding AI-enabled technologies will generate as many jobs as they displace overall, when evened out across different sectors.
While the importance of the cloud is obvious to anyone, the increasing importance of the edge is often overlooked. As digitization and the Internet of Things are leading to an exponential growth in the number of devices, the amount of data that is being generated by sensors in devices such as self-driving-cars, mobile endpoints and people tracking systems for retail is astronomical. Analyzing and turning that data into immediate actions is key to success in the era of digitization. The cloud enables massive data storage and processing, but it does not always lend itself to real time processing and immediate actions. Latency and the sheer amount of data to be transmitted are much less of a factor for the edge compared to the data center.
VMware said Wednesday that VMware Cloud on AWS is now available in the AWS London Region. The announcement marks the first global expansion of the hybrid cloud service since it was made available less than a year ago. VMware Cloud on AWS, which was previously available only in the AWS US West and East regions, runs VMware's enterprise class software-defined data center (SDDC) on the AWS cloud, allowing customers to run any application across public, private or hybrid cloud environments. The service is optimized to run on dedicated, bare metal AWS infrastructure. Wednesday's announcement also includes updates to VMware's cloud portfolio and partner network, along with the launch of a new cloud service that offers centralized log management.
In my first blog in this series, I stated my case that adoption of Internet of Things (IoT) platforms will be the number-one technology trend of 2018. However, there are other important developments going on that are very close behind. Containers enable movement to the next level of virtualization. Container-based virtualization is the latest virtualization technology that will gain wider acceptance in 2018. Considered a new generation of virtual machines (VMs), which abstracted an entire device including the operating system (OS), containers consist only of the application and all the dependencies that the application needs.
If you're not a graph afficionado, the name Marko A. Rodriguez probably does not mean much to you. Rodriguez however has been working on the intersection of research, engineering and entrepreneurship in the graph space his entire career. The fact that graph is now in the limelight is at least to some extent related to his efforts.
Shivam Sharma works as a Subject Matter Expert at CloudThat Technologies and has been involved in various large and complex projects with global clients. He has experience in Machine Learning and Microsoft Infrastructure technology stack including Azure Stack, Office 365, EMS, Lync, Exchange, System Center, Windows Servers, designing Active Directory and managing various domain services, including Hyper-V virtualization. Having core training and consulting experience, he is passionate about technology and is involved in delivering training to corporate and individuals on cutting edge technologies. Arzan has 7 years of experience in Microsoft Infrastructure technology stack including setting up Windows servers, designing Active Directory and managing various domain services, including Hyper-V virtualization. As a Cloud Solutions Architect at CloudThat, he is responsible for deploying, supporting and managing client infrastructures on Azure.
We live in the era of mass surveillance. Most of what we do is carefully tracked: the websites we visit, the way we spend our money and, in some places, the way we drive. Certain cities and states across the nation already collect information about driver behavior using sensors and cameras embedded in their infrastructure; that data is later shared with city planners or the Department of Transportation to help them understand what kinds of changes need to be made--a new street light here, a stop sign there, a new road over there. But who else is that data useful for? According to Nino Tarantino, CEO of the data analytics agency Octo Telematics, it could be instrumental to insurance companies as they determine rates and process accident claims--i.e., figure out how much money they'll spend on their customers.
One of the neat things about cloud, as a user, is that you don't have to worry about how many servers you need. You know -- the guy or gal who must buy the servers that make up the cloud? AWS CEO Andy Jassy told attendees at the Pacific Science Center's 14th Annual Foundations of Science Breakfast that Amazon has been using machine learning to anticipate demand for its servers. "One of the least understood aspects of AWS is that it's a giant logistics challenge, it's a really hard business to operate," he said. This is true of any cloud operation.