LG Powers Automotive Infotainment and Building Management Systems with Microsoft Azure Cloud and AI Technologies

LG Electronics (LG) is working with Microsoft to build its automotive infotainment systems, building management systems and other business-to-business collaborations. As announced at CES 2020, LG will leverage Microsoft Azure and AI services to accelerate the digital transformation of LG’s B2B business growth engines.

A year ago, LG started its collaboration with Microsoft to enhance and further grow LG’s autonomous vehicle and infotainment system business. LG will expand the scope of new projects beyond the automotive sector and further into the commercial space.

LG plans to enhance its management systems to enable its Building Energy Control (BECON) system to manage and control HVAC (heating, ventilation, and air conditioning) systems more efficiently using Azure. While extending its BECON system around the world with Microsoft’s support, the company will develop the next version of BECON with Azure data and hybrid cloud + AI services.

The integration with Azure will further enhance LG’s in-vehicle infotainment solution. This builds on the powerful combination of LG’s webOS Auto and the Microsoft Connected Vehicle Platform for the next generation of connected vehicles. For the next version of webOS Auto, LG will provide various additional HMI (human machine interface) experiences, especially in the in-vehicle entertainment and work efficiency areas.

LG’s infotainment systems will integrate virtual personal assistant technologies from LG with the Microsoft virtual assistant solution accelerator and automakers’ own personal assistants to enhance their brand experiences and provide various connected services to end users. This innovative HMI software platform is designed to advance the monetization of new digital services.

“Microsoft brings complementary technologies and synergy to advance LG’s B2B solutions,” said Dr. Lee Sang-yong, senior vice president and head of Automotive & Business Solutions Center at LG Electronics. “Our work with Microsoft will help drive competitiveness and the digital transformation for LG’s B2B areas, which represent the growth engine for the future.”

“Microsoft empowers mobility companies to digitally transform and identify new business opportunities,” said Sanjay Ravi, general manager of Automotive Industry at Microsoft Corp. “LG is fostering innovation and providing their customers with new value-added services by building its own digital capabilities and data-driven culture.”

The post LG To Accelerate B2B Innovation With Microsoft appeared first on Artificial Intelligence.

The dawn of cloud computing has proven to be an essential event in this digital era. Having an on-site data centre is not a necessity now. It has led to substantial cost savings and improved agility for organizations.

A new model of business has emerged called the Infrastructure-as-a-service (IaaS) model. Here a third-party service provider takes care of providing hosting, maintaining core infrastructure which includes hardware, software, storage and servers for the customer.

Tech behemoths like Amazon, Microsoft and Google, have plunged into the market of IaaS and have upped the ante. These three bigwigs have addressed the data sovereignty and security concerns which thwarted the growth of cloud services in its initial days. The market size for IaaS is estimated to be around $32.4 billion in 2018, which was a growth of 31.3% from 2017.

Amazon has traditionally dominated the market for IaaS, but Microsoft and Google are quickly gaining ground. While the new CEO Satya Nadella has ushered Microsoft into a “Cloud first” era, Google is not much behind in the race with its GCP(Google cloud platform). Alphabet, Google’s parent company has spent $ 6 billion on R&D in the fourth quarter of 2018. Which is a 40% increase YOY, most of the spending was on future technologies like cloud and AI.

Microsoft has increased prices of its on-site only office 2019 packages by 10%, announcing a clear push towards the cloud strategy.

With competition rife amongst the “Big Three” of the cloud computing world, customers are bound to benefit. In this article, we shall compare the three cloud services provided by Microsoft, Amazon, and Google

Computing power

AWS

The leading computing service of the Amazon web services framework is the amazon elastic compute cloud. The database administrators can optimize for costs using the ECC with other Amazon web services which promote the right amount of flexibility and compatibility. The ECC platform could be scaled up or scaled down within minutes allowing the administrators to optimize their resources. The ECC allows the administrators to deploy thousands of server instances immediately.

Amazon gives you the power of machine learning using its AWS auto-scaling monitor. The monitor continually monitors your current requirements and adjusts its capacity accordingly, without increasing the price. Amazon guarantees 99.99% service availability as a part of their service level agreement(SLA).

Apart from this, Amazon offers Amazon Elastic Container service, which supports Docker containers. With this feature, you could manage the IP address of your website, access security groups, Cloudtrail logs, Cloudwatch events and Query the state of your application.

Azure

A network of virtual machines powers the Azure computing feature, which includes development, app deployment, datacenter extensions, and testing. The Microsoft Azure is compatible with Windows, SQL, SAP, Oracle and Linux. Azure offers a hybrid model consisting of an on-premise data centre and a public cloud.

A serverless container system called the Azure Kubernetes Service(AKS) allows containerized applications which can be deployed and managed faster. The AKS allows for continuous delivery and continuous integration experience. It will enable various teams working in a virtual office to work on a single platform.

AI and Machine learning tools

AWS Machine learning

Amazon is ahead in the race for integrating IoT and AI into the cloud. Amazon’s lex interface allows you to use the same technology which has is used in its groundbreaking voice assistant Alexa. Amazon even allows you to use the power of Sagemaker, and you can use it for deploying machine learning and for staff training. Amazon’s Lambda serverless environment is a boon for companies which who wish to completely untether themselves and deploy their apps from Amazon’s serverless infrastructure.

In 2015 Amazon launched its machine learning service, which helps developers in creating machine learning models. One year later, Amazon launched services like AWS Rekognition and Polly.

Microsoft has its own resource for machine learning called the Microsoft Azure Machine learning studio. The benefit of Azure Machine learning studio is that it allows the developers to use complex machine learning models through a simple graphical UI.

Storage

Storage is one of the critical functions of any cloud service. Both Azure and AWS have excellent storage capabilities, with both service providers giving necessary facilities like REST API and server-side data encryption. Blob storage is the name given by Azure to its storage mechanism while the storage mechanism of AWS is called S3(simple storage service). Automatic replication across various regions and high availability are the characteristics of the AWS storage solution. Both AWS and Azure use the block-storage function. In the block-storage service, the data is divided into small, equally sized pieces of data called blocks. This allows for faster access to the data. Amainfrastructurezon EBS(elastic block storage) is the block storage service of AWS, which acts as a primary storage device for Amazon EC2. While there are Azure virtual disks which connect to the Azure Virtual Machines using block storage.

Both AWS and Azure provide you with high availability through replication of your VM files to various different zones. In case your VM is damaged it is replicated quickly. AWS even gives you the option of taking snapshots of the VM to use them as backups at an extra fee.

Azure provides you with the option of launching your own operating system using a VHD file. You can upload the VHD file to a blob and launch it as a VM. The thing is that once you delete your VM in Azure, the uploaded VHD file also becomes unusable. This is not the case with AWS.

Hybrid

Hybrid cloud is a strategy in which companies choose to use a combination of different infrastructure environments like public cloud service providers and on-site servers. This approach is taken by companies who cannot afford to use 100% cloud infrastructure due to data residency concerns for e.g.:- banks.

Microsoft is well- established amongst enterprises as a good option for hybrid cloud infrastructure. Through Azure stack, businesses can easily use various Azure cloud service through their own data centre. The azure stack provides you with the freedom of deploying your applications either on Azure cloud or on your own datacentre without the hassle of rewriting the code.

Using Azure stack, your company can avail a host of services like virtual machines, networking, storage, load balancing, VPN gateway, containers, functions and active directories on your own datacenters. The hardware support is provided by a lot of vendors like Dell, Cisco, Lenovo, and Huawei. The pricing is flexible, starting at rates as low as $0.008 per virtual CPU per hour.

AWS launched its own hybrid infrastructure by the name of Outposts in 2018 at reinventing conference. An AWS Outpost is a fully managed infrastructure service wherein AWS provides a set of pre-configured hardware and software to the on-site location of the customer. These racks use the same equipment which powers AWS in all the regions that amazon services. These Outposts can be configured with a variety of EC2 instances and EBS volume storages. Customers can utilize AWS outposts to launch and manage a range of AWS services like ALB for load balancing, ECS, EKS for containers and EMR for big data along with RDS. Outposts allow the customers to use the same AWS management console, SDK(Software Development Kit) and CLI(Command-Line Interface) tools which AWS provides today.

Pricing

Pricing acts as a significant determinant for those who are considering a move to the cloud infrastructure. With competition rife between various cloud infrastructure providers, the pricing has seen a constant downward trend. If you take a look, the prices are roughly the same, but a detailed comparison is difficult as both offer slightly different pricing models and come up with many special offers and discounts to lure more users.

Both Azure and AWS offer free to try services which let you test the cloud waters, helping you in deciding whether the cloud is for you.

Customer base

It helps if there are proven use cases of companies using cloud infrastructure successfully. Being the oldest service provider in the IaaS sector, AWS is at a clear advantage here with names such as Netflix, Astrazeneca, Newscorp, Airbnb, Nike, Lonely Planet and Pfizer amongst an extensive list of customers who have chosen AWS as their preferred partner.

Azure has also got reputed customers in its kitty, which includes Ford, NBC News, Easyjet, Pearson, Wallmart, Twitter, Verizon, to name a few.

Conclusion

The choice of the ideal IaaS provider really depends on your needs, and there is no one-size-fits-all solution here. Both the solutions are offered by world-renowned companies who provide a high-level of security, free look-in services for you to try, excellent support and pay-as-you-use pricing.

AWS will suit your company if you want to go with a company which has the highest experience with cloud. AWS also has a more significant global reach than Azure. AWS offers better flexibility and a more comprehensive range of services than Azure. AWS is especially cos-effective and suitable if you are a large organization.

Azure will prove to be a good fit for companies who have most of their apps and platforms on Microsoft products like Windows and if you are a startup who is migrating to cloud for the first time.

The post The Cloud infrastructure race who is better: AWS or Azure? appeared first on Artificial Intelligence.

At this year’s Microsoft Ignite conference, Microsoft CEO Satya Nadella placed the focus on consistent developer experiences in multi- and hybrid-cloud, alongside the announcements of new initiatives for “cloud-delivered quantum computing.” Nadella, in his keynote speech in Orlando, also emphasized the role of a consistent and reliable management platform across various cloud environments – including AWS and Google Cloud.

For instance, Azure Arc, which was introduced on the first day of Ignite, is “a control panel built for multi-cloud, multi-edge, and for the first time managed data services for where the edge compute is,” stated Nadella.

Before the premier Microsoft Ignite event for IT decision-makers, Microsoft had provided journalists an 87-page document that listed all news items to expect from the conference. But here are the top five announcements you should know about:

Azure Arc – manage resources anywhere

The Azure Arc control panel will let organizations leverage Azure to manage their resources across AWS and Google Cloud. The panel will also work for Linux and Windows Servers, and Kubernetes clusters as well. Furthermore, it will allow users to take limited Azure data services to these platforms. Previously, Azure Stack only worked on a limited set of hardware. Though Arc doesn’t have all Azure services, it will be a single platform for enterprises to manage their resources across a multi-cloud environment and their data centers. Owing to the complexities in hybrid environments, the control panel can be a single tool to keep enterprises in the Azure ecosystem.

Endpoint Manager – modernise device management

Per the keynote speech, Microsoft is set to combine ConfigMgr with Intune services that will allow organizations to manage laptops, PCs, tablets, and phones they issue to their employees, all under the Endpoint Manager. It’s also introducing a plethora of tools as well as recommendations to help companies modernize deployment strategies. Also, ConfigMgr users can now get a license to Intune, which will allow them to move to cloud-based management. Because security remains a significant concern in the BYOD world, managing all devices becomes a massive challenge for the IT department. With the latest offering, you can do away with multiple tools and get a single view of deployments.

Power Virtual Agents – the no-code bot builder

One of the most interesting announcements made at Microsoft Ignite has to be the introduction of Power Virtual Agents – the new ‘no-code/low-code’ tool for building chatbots. The tool uses Azure’s machine learning smarts to let users create chatbots by leveraging a visual interface. It will also allow users to integrate actual code. With the visual, anyone can build a chatbot and the creators will gain a better understanding of the user requirements than a developer who aren’t involved with business groups.

Azure Synapse – limitless analytics

Touted as the “limitless” analytics service, Microsoft introduced Azure Synapse Analytics, which is a combination of big-data analytics and data warehousing. The company said, “The service can use either serverless or provisioned resources to provide a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning applications.” However, users can run existing data warehousing workloads with Azure Synapse. Microsoft said that it would be similar to integrating Apache Spark with SQL.

Microsoft 365 – Project Cortex

Microsoft 365 platform is also getting new additions this year. The company introduced Project Cortex, which is a new service in Microsoft 365 that leverages AI to classify all of an enterprise’s content into topics. The latest addition is set to create a network of knowledge that “improves individual productivity and organizational intelligence, helping identify experts on specific topics, and surfacing knowledge through interactive experiences across Microsoft 365.” The new service comes after Microsoft Teams and is now in private view. It is expected to be available in 2020.

The post The five most significant announcements from Microsoft Ignite – and what they mean for you appeared first on Artificial Intelligence.