Category: Machine Learning

Posted on

Optimizing Design and Deployment Process with AI Guidance

We frequently ask questions to gather requirements and provide our designs and solutions. Many organizations standardize their questions for consistency among teams. Can chatbots handle these questions? Yes, AI services can be utilized to make decisions and trigger DevOps pipelines to deploy the desired design or service.

By using Infrastructure as Code (IAC), we can quickly deploy design templates using AI to assist in choosing the appropriate design. This allows customers to focus on workload migration instead of landing zone design. Although, not every customer is the same, for example, a secure Azure VNet hub and spoke design can be deployed initially and improved upon while testing non-critical workloads in the cloud. We can drive move from design workshop to design selection workshop where you are helping the customers to pick up one of best design available.

Another solution is deploying services on an existing subscription, where customers can quickly deploy VMs or PaaS services by answering a few questions posed by a chatbot, without waiting for a human response. This speeds up the deployment process and increases customer satisfaction.

In conclusion, by utilizing AI and chatbots, customers can avoid creating tickets and waiting for support, as they can immediately provision resources by answering questions and confirming with AI suggestions.

What do you think?

Posted on

ExploreExplore the technology to Upskill, Reskill and CrossSkill the resources.

Yes, most of us work in Technology companies those advise many organizations globally for taking technological decision and encourage them to use the latest and advanced technologies to automate their operations. However, how many of those companies are using technology within their organizations and drive innovations for their internal requirements. Both the employees and employers are suffering because a proper system is not in place for solving the problems like Lack of effective appraisal system, identifying the right resources for the projects, unable to stop the talent leaving the organization etc. Let’s look at those and how we can try to solve using the technologies like Machine Learning(ML) and Artificial Intelligence(AI). Yes, we are in the world of Machine Learning(ML) and Artificial Intelligence (AI) and we must now start thinking about using them effectively.

upskill2

Continue reading “ExploreExplore the technology to Upskill, Reskill and CrossSkill the resources.”

Posted on

Machine Learning: I do it, you do it everyday without a computer

Machine learning is ‘predictive analysis’ in very simple terms, agree? Arrive into a conclusion by analyzing the data. Can this possible only with computers?  We, human beings do it on a daily to basis, to catch a bus, to drive a car, to shop and what not.

Machine learning Fig1

Don’t be confused. Let me try to explain and don’t blame me at the end if that doesn’t work, a pre-bail has been taken :-).

Let me take the example of how we learn driving. Excuse me for those who never tried it 🙂.

The driving instructor gives you first set of data like usage of steering wheel, gear shifting, clutch, brake, accelerator etc. Initially, with those basic data you mess with clutch, gear, accelerator and brake often. Then you slowly correct the mistakes by practicing which means you are learning by feeding your brain with additional data on how to use it effectively.  Eventually you get it correct when you have more and more data; and create your own algorithm to drive your car.  Result of this you start applying the break softer, start shifting the gear smoothly.  That is exactly the machine learning does with the help of your intelligence (it is currently being replaced with Artificial Intelligence –AI 🙂).  Continue reading “Machine Learning: I do it, you do it everyday without a computer”