AI can help you decide what processes to automate and how to automate them.
Youve likely heard the popular saying, Sometimes you cant see the forest for the trees meaning, its easy to lose perspective on the big picture when preoccupied with smaller details.
Believe it or not, this can happen during an enterprises digital transformation, especially during complex, multi-phased evolutionslike the transition to a multi-hybrid cloud environment. With several layers of strategic discovery, technology selection and implementationwhich can often take weeks, months or even yearsit can be easy to lose sight of the objective.
It helps to step back and remember the end goal: the ability to scale and transform your enterprise to bring increased cost optimization and value, both to your business and your customers.
In the case of cloud adoption, your transformation happens by achieving a series of milestones, which weve outlined here. By seeing this big picture, youll know exactly where you fall in the overall process and what you need to do next to move forward.
Step 1: Get your data in order.The first step is assessing where all your data is, collecting it, cleaning it, organizing it and making sure its located in the right places. That also means containerizing itmaking sure its portable enough to migrate workloads between environments when needed to ensure better agility, security and cost optimization.
Unfortunately, many cloud customers and partners are learning that its not always easy to move workloads in and out of AWS, Azure or Google full-cloud environments. Oftentimes, this work proves to be challenging, time consuming and costly. But there are downsides to keeping all your data in on-prem data centers, too.
What businesses really need is the perfect combination of the twoa multicloud hybrid environment. They need reliability, scalability for growth and control to determine where applications should run, depending on workload needs and timing. Read more on why flexibility and containerization through Red Hat OpenShift are key components of the most agile cloud solutions,here.
Step 2: Leverage AI technology for smarter decision-making.Once you have a more efficient way of using your data, you can start to prioritize your next steps. Youll need to hone your focus and determine how best to use your data to make process improvements across the enterprise.
Artificial intelligence (AI) and machine learning can help you make the right decisions at the right time. By applying AI and automation across your hybrid cloud landscape, you can produce intelligent workflows and speed digital reinvention. Decisions can be made faster and with more confidence. You can implement automation to streamline low-value menial tasks. Customers can have better experiences and employees can focus on higher-value work.
AI can help you decidewhatprocesses to automate andhowto automate them.
For example, within IBMs hybrid cloud, Watson AI technology can scan across numerous workloads and environments, looking for ways to improve data sets, cost usage and consumption models to provide value back to customers. It can identify hotspots and bottlenecks in your operations, predict outcomes, run simulations, build contingency plans and provide guidance to make forward-looking decisions.Learn how it all works.
Armed with this information, you can take steps toward implementing automation across your multi-hybrid cloud environment, whether that includes using bots or AI or other automated tools to streamline processes. Read more abouthow AI can function across a hybrid cloud.
Step 3: Automate to remove human interaction.After you understand precisely how automated processes can streamline tasks, save time and bring new value to your business, you need to deploy the right technology, trust the process and remove yourself as a barrier to progress. Click on Page 2 to continue reading
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