If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Powered by smart machines, the new industrial revolution is changing how manufacturers operate today and plan for the future, influencing a significant transformation in manufacturing, engineering and factory-floor industries. Adding to this, manufacturers are under pressure to meet the demand for faster delivery of new products, coupled with shorter production lifecycles. Organizations are adopting agile, flexible production plant systems and processes to adapt and evolve, so as to remain competitive and profitable. Going forward plants and machines will have to be smarter, better connected, more efficient, flexible, and safe. Over the past several years, innovation frameworks have emerged in industry organizations worldwide, such as Industry 4.0 (Europe), the Industrial Internet Consortium (America), and the Made-in-China initiative, to name a few.
Machine learning (ML) has recently undergone huge progress in research and development. Importantly, the emergence of deep learning (DL) and the computing power enhancement of accelerators like GPUs have together enabled a tremendous adoption of machine learning applications. This has caused machine learning to have a broader and deeper impact on our lives in many areas like health science, finance, security, data center monitoring and intelligent systems. Hence, machine learning and deep learning workloads are also growing in the datacenters and cloud environments. To support customers with deploying ML / DL workloads on VMware vSphere, we conducted a series of performance studies on ML-based workloads using GPUs.
Elon Musk's new tractor trailer can handle most US shipping routes on a single charge. Way back in 2004, Jonathan Schwartz, then Sun's chief operating officer, suggested that cars could become software platforms the same way feature phones were. But, it's Linux, not Java, which is making the most of "smart cars". That's because Linux and open-source software are flexible enough to bring a complete software stack to any hardware, be it supercomputer, smartphone, or a car. There are other contenders, such as Blackberry's QNX and Microsoft IoT Connected Vehicles, but both have lost ground to Linux.
As the amount of data that needs to be processed continues to increase, more and more IT teams are turning to cloud computing to help manage their large workloads. Workload Automation plays a vital role in managing virtual and cloud resources and can mean the difference between successful, cost-efficient cloud computing, and hidden-cost ridden operations. A Workload Automation solution that offers automated provisioning and deprovisioning of virtual and cloud-based resources, based on both historical and predictive analytics, can introduce a form of machine learning into your cloud environment and help you optimize your resource usage. The EMA Radar Report commends ActiveBatch Workload Automation on its standout cloud features, such as Smart Queue and Managed Queue, and its prebuilt integrations with VMware, Amazon EC2, Microsoft Azure, and System Center Virtual Machine Manger. The report states that these features and capabilities "make ActiveBatch a strong choice for anyone relying on hybrid or multi-cloud to optimize resource usage."
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.