Artificial intelligence (AI) and machine learning (ML) aren’t academic research subjects anymore. Businesses, especially the disruptors and those who are entrenched in digital transformation, have been setting a trend for the adoption of these principles and applying them to yield rich dividends.
copyright by www.forbes.com
This trend is now rampant, and it is clearly a favorite when it comes to enriching customer experiences and using data to arrive at smarter decisions, faster deliveries and sustainable businesses.
But here’s the burning question: In a race to get their hands on new-age technology, are technology businesses overlooking the other perks of AI that can accelerate the speed of their IT operations and impact their entire software development life cycle? AI is not limited to automating workflows. When used well by your executive staff and system administrators, AI can make all lives stress-free.
Automating And Augmenting Your IT Department
Now, imagine having sophisticated monitoring and management tools in place that can enable a self-service IT infrastructure. Having infrastructure templates ready for configuration can give you the confidence to scale on demand to support an ever-increasing volume, variety and velocity of deployments. In that scenario, deployments will be as fun as making chocolates out of silicon molds. With AI, you can implement various tools to fit your varied needs, including those for data input and more. HCL Technologies, an Indian multinational company, said their ElasticOps applies AIOps to maintain their managed cloud infrastructure service (a 50,000-instance environment) with 30 engineers.
To name a few tools that can aid AIOPs, I’d start with the cloud. With AI, you can build an automated scaling solution for your cloud platform for future flexibility before taking it live. Monitoring tools can extract utilization metrics of live instances via APIs. Even further, incident management tools can trigger alerts and, in certain instances, pass a percentile threshold, causing pre-scripted response and escalation patterns to be applied, according to the situation. Through all this time, your metric analytics and visualization suite can generate reports based on actionable data. And, these tools don’t even cover half of what can be done with AI and ML during software development.
Managing Your Customer Experience
In addition, there are tools to implement that will help you manage your customer experience. This is particularly helpful, considering the deluge of data that flows in and out of your systems every second — with social media reactions, helpdesk complaints and more. Forward-thinkers can have an APM (application monitoring system) installed to provide real-time insights that help IT teams and the company to avoid revenue-impacting outages.
Thank you for reading this post, don't forget to subscribe to our AI NAVIGATOR!
A few years ago, Netflix found a way to put several experimental machine learning algorithms to good use and started automatically recommending personalized content to subscribers. Their attempts to redeem viewership and constantly gain a new set of subscribers using AI and ML technologies have never let them down. Apparently, the world’s favorite video streaming platform saved and earned big bucks with all these initiatives.[…]
read more – copyright by www.forbes.com
Artificial intelligence (AI) and machine learning (ML) aren’t academic research subjects anymore. Businesses, especially the disruptors and those who are entrenched in digital transformation, have been setting a trend for the adoption of these principles and applying them to yield rich dividends.
copyright by www.forbes.com
But here’s the burning question: In a race to get their hands on new-age technology, are technology businesses overlooking the other perks of AI that can accelerate the speed of their IT operations and impact their entire software development life cycle? AI is not limited to automating workflows. When used well by your executive staff and system administrators, AI can make all lives stress-free.
Automating And Augmenting Your IT Department
Now, imagine having sophisticated monitoring and management tools in place that can enable a self-service IT infrastructure. Having infrastructure templates ready for configuration can give you the confidence to scale on demand to support an ever-increasing volume, variety and velocity of deployments. In that scenario, deployments will be as fun as making chocolates out of silicon molds. With AI, you can implement various tools to fit your varied needs, including those for data input and more. HCL Technologies, an Indian multinational company, said their ElasticOps applies AIOps to maintain their managed cloud infrastructure service (a 50,000-instance environment) with 30 engineers.
To name a few tools that can aid AIOPs, I’d start with the cloud. With AI, you can build an automated scaling solution for your cloud platform for future flexibility before taking it live. Monitoring tools can extract utilization metrics of live instances via APIs. Even further, incident management tools can trigger alerts and, in certain instances, pass a percentile threshold, causing pre-scripted response and escalation patterns to be applied, according to the situation. Through all this time, your metric analytics and visualization suite can generate reports based on actionable data. And, these tools don’t even cover half of what can be done with AI and ML during software development.
Managing Your Customer Experience
In addition, there are tools to implement that will help you manage your customer experience. This is particularly helpful, considering the deluge of data that flows in and out of your systems every second — with social media reactions, helpdesk complaints and more. Forward-thinkers can have an APM (application monitoring system) installed to provide real-time insights that help IT teams and the company to avoid revenue-impacting outages.
Thank you for reading this post, don't forget to subscribe to our AI NAVIGATOR!
A few years ago, Netflix found a way to put several experimental machine learning algorithms to good use and started automatically recommending personalized content to subscribers. Their attempts to redeem viewership and constantly gain a new set of subscribers using AI and ML technologies have never let them down. Apparently, the world’s favorite video streaming platform saved and earned big bucks with all these initiatives.[…]
read more – copyright by www.forbes.com
Share this: