Tag: cloud

Enhancing a Digital Workplace through the Cloud

Posted by on November 30, 2018

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A digital workplace can be a challenge to manage — but there are some excellent tools that can help. By enhancing your digital workplace through cloud-based technologies, you can improve upon the collaboration and communication of your employees, make your workplace more accessible, and even ensure that your employees are being as productive as possible.

Cloud Collaboration and Communication Suites

Perhaps the most significant challenge when it comes to creating a digital workplace is communicating with colleagues. This is especially true in situations where some employees work through a digital workplace but others are in office. This type of setup can easily lead to a feeling of alienation (on the part of the remote workers) or a feeling of resentment (on the part of those in office). But it can be successfully resolved through the use of cloud-based collaboration and communication suites.

Accessible from anywhere, these suites give employees versatile methods of communication that are designed to facilitate conversation. Employees can choose to use internal messaging systems, instant messaging, or often even voice or video calling, giving them a wide toolset to get the information they need. Further, by logging conversations and communication, cloud-based suites also give employees a one-stop, consolidated system where they can access their information and their files.

Connecting to Mobile Devices through the Internet of Things

A digital workplace requires that employees work with a substantial number of different devices, often through the “Internet of Things” (IoT). Cloud-based platforms offer a unified form of technology that can be used on a multitude of different devices, through browser-based software and native apps. In this way, employees are able to leverage IoT technology such as smartphones, tablets, and similar devices, while still remaining connected to the organization’s system and (perhaps most importantly) keeping the company’s data secure.

IoT has created some security concerns for many organizations, but it’s also for the most part an unavoidable evolution of the modern workplace. For employees who work within a digital landscape, IoT becomes even more vital. Through IoT devices and appropriate cloud-based management, anywhere can become an office as long as there is a smartphone available. These suites ensure that data is appropriately encrypted when transferred so that organizations don’t need to worry about the safety and security of the homes of their employees.

Perhaps most important, they also ensure that employees access their data through a secured framework rather than keeping local data on their devices. When data is local, a company could lose extremely sensitive data through something as simple as a lost phone or flash drive. As long as data is accessed through a cloud solution, the data can still be controlled by the organization at any time.

Better Analytics With Big Data and Machine Learning

Though the cloud doesn’t necessarily have a premium on big data or machine learning, these twin technologies are most useful using the resources that cloud computing provides. In fact, it can be prohibitively expensive to engage in any type of big data or machine learning processing without cloud computing services. Digital workplaces require the crunching of substantial numbers of data, as otherwise it can be impossible for a company to truly determine which employees are engaging in the most substantial achievements.

Through big data and associated algorithms, the top performing employees can be isolated and the performance of other employees can be enhanced. Though the human element can occasionally be lost through a digital workplace, big data can make it easier to continuously and closely manage employees.

By using data to build a rewards and recognition system, big data can be additionally used to create a more effective and meaningful environment for employees. This is an environment that will be able to reduce its churn and keep its best talent.

A digital workplace is not only commonplace today; it’s rapidly becoming more popular and may soon supplant the traditional workplace. Employers who want to get on board and begin benefiting from digital workplaces will also need to become very familiar with the cloud and cloud-based technology.

Why You Should Consider Migrating from IBM Cloud to AWS

Posted by on August 08, 2018

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Amazon Web Services (AWS) currently has 33% of the market share for cloud-based solutions – well ahead of any other cloud services provider. IBM Cloud trails behind at 8% adoption, despite entering into the market nearly half a decade ago. AWS has become the standard and leader for global cloud-based services for a number of reasons, which we will outline below. In this article, we’ll outline why you should consider a migration to AWS, what the principle differences are in AWS technology, and the challenges you might encounter during migration.

What Are the Advantages to Amazon Web Services?

AWS claims the vast majority of the cloud-based market, despite competition from major players such as Microsoft, Google, and IBM. What makes AWS the cloud services provider of choice? Having entered into the market early on and supporting many major technologies, AWS has the following benefits:

  • Cost. When comparing the pricing of six different scenarios, AWS came in middle-of-the-road for nearly every one — not bad for the most advanced cloud-based technology. Comparatively, IBM Cloud was the most expensive service for five out of six scenarios. In general, AWS is going to be one of the most cost-effective solutions available.
  • Trust. Many of the largest sites on the Internet are run through AWS, showing that the organization’s services are more than substantial for even the largest applications in the world. Reddit, Netflix, and Etsy are among some of the major platforms that are run through AWS.
  • Scalability. Amazon’s services originated out of its own need to support its ever-growing catalog of applications and technologies. This has created a system that is as scalable as it is reliable, as it was necessary to support Amazon’s tremendous growth as a major eCommerce marketplace. Small businesses and large enterprises can have their growth supported through AWS.
  • History. AWS was first launched in 2006; long before many of the other cloud-based services came into existence. Comparatively, IBM Cloud services did not enter into the market until IBM purchased SoftLayer in 2013. AWS has achieved quite a lot of traction and growth within the market space, which other companies may find it difficult to compete with.
  • User experience. In public comparison, users rated AWS 4.4 with a 79% willingness to recommend. IBM was rated at 3.8 with a 51% willingness to recommend. Areas in which IBM cloud fell short included enterprise integration, developer services, scaling, technical support, and ease of deployment.

Ultimately, AWS represents one of the most advanced, reliable, and scalable cloud-based environments available. Not only is it cost-effective, but it provides superior customer service and user experience.

 AWS vs. IBM Cloud: The Technological Differences

Though they both provide roughly similar services on an enterprise level, the technologies that drive these services differ. Among the most important differences:

  • Artificial intelligence. Amazon provides a suite of artificially intelligent, machine learning systems, including Lex, Polly, Rekognition, and Machine Learning. IBM’s artificial intelligence suite is driven by Watson. Lex and Polly are designed to make natural language emulation and voice language emulation easier.
  • Internet of Things. Amazon provides both an IoT Platform and Greengrass, a software platform that makes it easy to run local data caching, messaging, and computation, making implementing IoT devices easier.
  • Storage and Computation. Amazon’s computational strength and storage are primarily run by its EC2 and S3 systems, which are the same systems that have been leveraged to support its largest applications.
  • Databases. Amazon’s database solutions are focused on DynamoDB, whereas IBM Cloud’s solutions are focused on MongoDB.
  • Analytics. Analytics on Amazon are provided through Athena, EMR, and Kinesis, whereas IBM Cloud’s analytics are provided by their in-house Analytics Services and Cloudera Hosting.

In general, Amazon has a far larger developer toolset available than IBM Cloud. IBM Cloud’s technology is quite advanced in some ways — such as deep data analytics and artificial intelligence. However, Amazon makes it easier to use its services and resources.

Challenges and Considerations When Migrating from IBM Cloud to AWS€‹

Cloud data migration is always complex, regardless of the platforms involved. A cloud data migration will encompass multiple steps and pre-planning efforts. A few of the core challenges include:

  • Managing the migration without downtime. Often, systems will need to be run simultaneously until a “switch over” can occur. A migration may also be done in planned stages, to avoid having to migrate the entirety of the system at once.
  • Ensuring the fidelity of the data transferred. Permissions, metadata, and access control lists may not always be able to be transferred with complete fidelity. This could lead to serious productivity and security issues. Data needs to be verified completely to ensure that this data has been preserved.
  • Utilizing the services that AWS provides. As AWS provides multiple applications and services that IBM Cloud does not, an organization must plan ahead to begin leveraging these utilities once their migration has been completed. Otherwise, they may not get the full advantages of the migration.
  • Transferring data quickly and effectively. For larger systems, there is the practical issue of moving as much data as possible quickly. In an IBM Cloud to AWS transfer, both services will need to communicate with each other to migrate over data and services.

Amazon provides a number of cloud data migration tools, which are intended to streamline this process. These services include AWS Direct Connect, AWS Snowball, and Amazon S3 Transfer Acceleration. Nevertheless, it’s often a good idea to involve an expert partner.

Is a migration from IBM Cloud to Amazon Web Services right for your organization? AWS can help your organization reduce its cloud-based expenses, while also providing best-in-class technologies ranging from database storage to artificial intelligence. If you want to expand your organization’s cloud capabilities without sacrificing user experience and reliability, AWS may be the right solution.