5 Steps for Enabling Enterprise Cloud Intelligence

AI and ML have penetrated their way into enterprise operations, and there’s every reason to believe that most of it will happen in the cloud. Cloud transformation has seen a continuous upswing in this decade and has disrupted industries worldwide with as much as 48% of organizations agreeing that cloud intelligence is critical to their operations.

Today, enterprises are sparing no effort to be more responsive, agile, and intuitive. WithBI, smart contracts, Machine Learning, and Artificial Intelligence already helming the intelligent infrastructure, businesses are being able to realize enhanced cloud intelligence capable of transforming a typical business into a visionary enterprise; a phenomenon whose achievement rests on the intelligence of enterprise cloud.

Enabling Enterprise Cloud Intelligence

First things first; what does it mean to be an intelligent enterprise?

It effectively means harnessing enterprise data and technologies to achieve the desired operational results with fewer business risks, responding to customer needs, engaging resources in novel ways, and creating disruptive business models.

Cloud adoption in the early days was dependent on SaaS and IaaS as their consumption benefits gained wide acceptance in the favour of digital transformation leaders. However, with the pace of innovation continuing to steadily accelerate, the Platform-as-a-Service model, or PaaS model, is increasingly playing a prominent role in directing digital transformation.

Why is that? With the cloud adoption skyrocketing and it being entrenched as a crucial element of enterprise IT operations, we have entered the era of the intelligent enterprise. Businesses are leaving no stone unturned to take advantage of the flexibility that the cloud provides to locate novel differentiation sources and competitive advantage through the adoption of intelligent capabilities through AI and ML.

Image Source: Forbes

For independent software vendors, this is a stellar opportunity to offer cloud-based services and products that supplement the intelligent enterprise. As the intelligent cloud matures, it is facilitating enterprises to extract deeper insights from disparate data sources and filling the blanks between cognitive, prescriptive, and predictive analytics, thereby enabling better decision-making and improved business results.
Here, we will look at five steps to enable enterprise cloud intelligence for businesses.

  1. Connect People and Data
    In the digital age, it’s no secret that employees, in addition to consumers, have high expectations from business to provide them with better functionalities and simplify their jobs for them.
    There are various cloud platforms in the market that can enable organizations to introduce much-needed agility to meet the rising expectations of customers. You can streamline functionalities across operational layers on an enterprise-wide scale, gain insight into network topologies, application load workflows, and storage for effective decision making, and develop and deploy custom applications accordingly for unique business needs through the cloud.
  1. Adopt a Cloud-Operating Model
    Organizations can deploy the converged infrastructure of a network-attached storage platform for it to act as a solid foundation for a cloud-operating model and enable your organization to build services by utilizing servers to enhance resource and workload management. Enterprises can gain increased flexibility in arriving upon a delivery model that fits their requirements the best by including the enablement of hybrid cloud deployment.
  2. Utilize Data Intelligence from Edge to Core
    As use cases for data-driven applications and processes emerge, combining business data with ML, AI, and external big data to drive business processes and intelligent application is going to assume center stage. This will bring about a huge amount of data being accumulated, categorized, supervised, and stored from edge to core. Organizations need to understand how critical it is to unite data with external data sources by marrying IT and OT data. This will help them bridge the gaps between data that was previously unconnected attain meaningful business insights.
  3. Implement an Overarching IT Framework
    Enterprises should also seek an overarching IT framework that can not only orchestrate data management across environments but also provide heightened global visibility of all data and facilitate the creation of workflows that enable rapid and consistent application deployment.
    Organizations can utilize a data sharing solution in combination with a network-attached storage platform to govern data enrichment and refinement by pipelining sophisticated data operations. Companies should ensure to choose a storage platform that helps them conduct real-time analysis and process their hottest data through the database while using object storage with Hadoop.
  1. Expedite the Decision-Making Process at the Edge
    The entirety of your data just won’t be processed at the core data center. As such, you will need edge computing that continually gathers and analyzes data across an expanding set of connected devices and systems and devices. With this, you can merge the cloud’s limitless computing power with intelligent devices at the edge of your network and accelerate decision making to build a framework for creating impactful business solutions.

The potential of enterprise intelligence couple with the cloud is astronomical. A cloud management tool like Matilda Cloud can help to achieve enterprise cloud intelligence and a lot more. It can help you simplify discovery and migration of physical or virtual hosted environments to the cloud by enabling quick deployment of on-premise applications to the cloud environment.

It also has the capability to potentially become a linchpin in the BI and analytic strategies of enterprises by monitoring application environments to optimize ongoing cloud costs. It can also provide them with real-time access to critical cloud data. If you want to realize these benefits in addition to being able to easily move workloads from the development to the production phase, enlist a suitable cloud partner today to enjoy the benefits of increased deployment speed, ease of use, and lowered costs.