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IBM Partners Cut Through Hype To Help Joint Customers Move Forward

#artificialintelligence

Last week's IBM Think 2018 conference brought together numerous IBM partners and other vendors interested in pitching their wares to the crowd of IBM employees, partners, and customers. Most of these exhibitors had an IBM angle to their story โ€“ either how they go to market with IBM, or perhaps how they address some limitation in one IBM product or another. Given IBM's focus on cloud computing, artificial intelligence (AI), and blockchain, furthermore, many of the vendors touted how they are using these capabilities to deliver value to their customers. Of the dozens of exhibitors at Think, I looked for the best examples of a particular mix of disruptive capabilities and offerings complementary to IBM's. Even though cloud and VMware virtual machine (VM) instances can respond to shifts in demand, they often remain underutilized.


VMware kicks off international expansion of VMware Cloud on AWS

ZDNet

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.


Machine Learning Essentials - Level 2

#artificialintelligence

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.


How many servers do you need for your cloud? โ€“ DXC Blogs

#artificialintelligence

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.


[session] Cloud Sprawl @CloudExpo @Citrix @TMinahan #IoT #AI #DevOps

#artificialintelligence

Wooed by the promise of faster innovation, lower TCO, and greater agility, businesses of every shape and size have embraced the cloud at every layer of the IT stack - from apps to file sharing to infrastructure. The typical organization currently uses more than a dozen sanctioned cloud apps and will shift more than half of all workloads to the cloud by 2018. Such cloud investments have delivered measurable benefits. But they've also resulted in some unintended side-effects: complexity and risk. End users now struggle to navigate multiple environments with varying degrees of performance.


[session] @Citrix to Present at @CloudExpo @TMinahan #Agile #AI #ML #DL

#artificialintelligence

Wooed by the promise of faster innovation, lower TCO, and greater agility, businesses of every shape and size have embraced the cloud at every layer of the IT stack - from apps to file sharing to infrastructure. The typical organization currently uses more than a dozen sanctioned cloud apps and will shift more than half of all workloads to the cloud by 2018. Such cloud investments have delivered measurable benefits. But they've also resulted in some unintended side-effects: complexity and risk. End users now struggle to navigate multiple environments with varying degrees of performance.


Side of #Serverless BS with Your Hardware FUD @CloudExpo #SDN #AI #SDDC

#artificialintelligence

Did You Want a Side of SLBS (Serverless BS) with Your Software or Hardware FUD? A few years ago a popular industry buzzword term theme included server less and hardware less. It turns out, serverless BS (SLBS) and hardware less are still trendy, and while some might view the cloud or software-defined data center (SDDC) virtualization, or IoT folks as the culprits, it is more widespread with plenty of bandwagon riders. To me what's ironic is that many purveyors of of SLBS also like to talk about hardware. Simple, on the one hand, there is no such thing as software that does not need hardware somewhere in the stack.


[session] App Architecture at @CloudExpo @EmboticsCorp #VM #Microservices

#artificialintelligence

In his session at 20th Cloud Expo, Scott Davis, CTO of Embotics, will discuss how automation can provide the dynamic management required to cost-effectively deliver microservices and container solutions at scale. He will discuss how flexible automation is the key to effectively bridging and seamlessly coordinating both IT and developer needs for component orchestration across disparate clouds - an increasingly important requirement at today's multi-cloud enterprise. Attendees will come away from the session with a better understanding of microservices, containers and how to achieve effective and efficient operations through flexible automation, without the need for expensive or cumbersome legacy-style management suites. Speaker Bio Scott Davis is a well-known technology executive and vExpert, and was formerly VMware's End User Computing Business Unit CTO and Chief Data Center/Storage Architect. A recognized expert in virtualization, operating systems, storage, and end-user computing, he has held business management senior engineering roles at both startups and established firms.