Hi, OpsNow team!
Thank you for your continued subscription to the OpsNow FinOps blog series. In the last series, OpsNow was the first in Korea to obtain FinOps Certified Platform (FCP) certification and introduced features tailored to domestic companies and actual use cases.
In this fourth installment, we'll take a closer look at how OpsNow FinOps's latest AI technology, which has received a lot of attention, is fundamentally transforming the way cloud costs are managed.
Sudden spikes in cloud costs place a heavy burden on a company's financial planning. Since abnormal cost detection provided by existing CSPs such as AWS, GCP, and Azure is based on cost data that has already been incurred, there is often a delay of 1 to 2 days between when the actual abnormal cost occurred and when it was recognized. Also, other solutions that re-analyze CSP data after receiving it will inevitably require additional analysis time.
OpsNow, on the other hand, analyzes and detects signs of abnormal costs within minutes based on actual usage data of cloud resources and immediately provides AI-based analytical information. This allows companies to take immediate action and quickly prevent cost issues.
Now that we have entered the AI era, the method of providing a cost analysis with a delay of 1 to 2 days based on past data is an outdated approach. Adopting an AI-based cost management system that can respond in real time in a rapidly changing cloud environment is essential.
A domestic company instantaneously experienced a rapid increase in the resources of hundreds of servers due to a security incident in a cloud environment that was being managed by a domestic company. Thanks to OpsNow's real-time analysis and detection capabilities, we were able to immediately identify and respond to abnormal cost signs to proactively prevent huge losses.
OpsNow use case: Minimizing damage after cloud account takeover
From a financial perspective, cloud cost forecasting is critical. Businesses must manage each risk when actual usage is high or low compared to estimated costs. However, cloud costs based on usage are very difficult to predict.
OpsNow's AI-based cost forecasting feature analyzes past cloud cost data and predicts future cost fluctuations to help companies establish reliable budget plans and manage cloud costs. Also, by setting budgets for projects and organizational units, when cloud costs are higher or lower than planned budgets, immediate notifications are sent to those in need so that risk can be managed.
In addition, financial personnel who are sensitive to cost management provide a dashboard so that they can grasp the company's cloud budget and costs at a glance and predict the runway.
For example, in the past, budget plans were based on seasonal variability or cost increases for new projects based on human experience, and cost fluctuations could not be detected in advance, so they had to take the risk of budget overruns or lack of resources. AI-based cost forecasting detects future cost increases in real time and provides budget financial simulations reflecting this, so companies can make financial plans more accurately and quickly, and manage them reliably.
Enterprise B increased annual cloud budget accuracy from 80% to over 90% by using OpsNow's AI-based budget management capabilities. We were able to effectively set an overall budget by allocating a budget for each organization and receiving recommendations for expenses to be incurred during the year based on past costs of cloud resources managed by that organization from the OpsNow budget management function. In addition, management of monthly expenses has been improved by setting to receive notifications via email, Slack, Google Chat, etc. before monthly expenses reach the budget for each organization's budget items. This made it possible to establish a more stable financial plan.
Customer story: Improving the accuracy of cloud budget management and departmental cost analysis
There are many ways to optimize cloud costs. Recommendations such as resource optimization, detection and removal of inefficient resources, and reserved instances (RIs) and savings plans (SPs) are generally provided. In addition to these basic optimization features, OpsNow supports optimization across multi-cloud environments with more precision through self-developed optimization logic.
In particular, OpsNow provides cost efficiency through its own logic 'autoSavings', which provides functions such as automatic RI/SP purchases and recommendations. This function is currently being operated in the US region (https://opsnow.io)에서), and this feature will also be launched in the Korean market in the first half of the year, and more efficient cost management can be expected.
Additionally, OpsNow doesn't just maintain the current state of affairs; it also continuously analyzes data to identify optimization opportunities, suggest cost savings factors through monthly reports, and suggest new recommendations. Clients operate on a performance-based basis without additional costs or commitments, providing a win-win success model by sharing part of the customer's savings.
OpsNow customers in the US are reducing cloud costs through AutoSavings.
- Healthcare company H: Approximately 20% savings
- Restaurant Franchise Operator B: Approximately 25% savings
- OpsNow overall customer average: savings of approximately 37%
- Maximum savings rate: approximately 65% (when optimizing Reserved Instances)
With the advent of ChatGPT, the paradigm of how information is obtained is rapidly changing. In particular, information acquisition through questions has dramatically reduced the traditional complex analysis process. OpsNow is also preparing to solve problems through AI and questions through OpsNow Insight in line with these technology trends, and in particular, to provide more accurate information using OpsNow's own cost and analysis data to solve data reliability issues and errors such as LLM's hallucination (hallucination hallucination effect). Combining visual data with numerical analysis results, OpsNow Insight combines clear information and deep insight into cost analysis.
Since introducing the OpsNow Insight feature, Company D has increased work productivity by reducing work time spent on complex data analysis by 50% or more.
Customer story: Improving cloud management efficiency
OpsNow FinOps' AI-based automation and interactive analysis capabilities go beyond simple cost management to maximize the efficiency of enterprise operations. With OpsNow FinOps, you can go further in cost management and increase your company's competitiveness.
In the next special edition, we'll clearly share the questions and truth about OpsNow FinOps, focusing on frequently asked questions (FAQs) from companies. Please look forward to it!
Thank you
Hi, OpsNow team!
Thank you for your continued subscription to the OpsNow FinOps blog series. In the last series, OpsNow was the first in Korea to obtain FinOps Certified Platform (FCP) certification and introduced features tailored to domestic companies and actual use cases.
In this fourth installment, we'll take a closer look at how OpsNow FinOps's latest AI technology, which has received a lot of attention, is fundamentally transforming the way cloud costs are managed.
Sudden spikes in cloud costs place a heavy burden on a company's financial planning. Since abnormal cost detection provided by existing CSPs such as AWS, GCP, and Azure is based on cost data that has already been incurred, there is often a delay of 1 to 2 days between when the actual abnormal cost occurred and when it was recognized. Also, other solutions that re-analyze CSP data after receiving it will inevitably require additional analysis time.
OpsNow, on the other hand, analyzes and detects signs of abnormal costs within minutes based on actual usage data of cloud resources and immediately provides AI-based analytical information. This allows companies to take immediate action and quickly prevent cost issues.
Now that we have entered the AI era, the method of providing a cost analysis with a delay of 1 to 2 days based on past data is an outdated approach. Adopting an AI-based cost management system that can respond in real time in a rapidly changing cloud environment is essential.
A domestic company instantaneously experienced a rapid increase in the resources of hundreds of servers due to a security incident in a cloud environment that was being managed by a domestic company. Thanks to OpsNow's real-time analysis and detection capabilities, we were able to immediately identify and respond to abnormal cost signs to proactively prevent huge losses.
OpsNow use case: Minimizing damage after cloud account takeover
From a financial perspective, cloud cost forecasting is critical. Businesses must manage each risk when actual usage is high or low compared to estimated costs. However, cloud costs based on usage are very difficult to predict.
OpsNow's AI-based cost forecasting feature analyzes past cloud cost data and predicts future cost fluctuations to help companies establish reliable budget plans and manage cloud costs. Also, by setting budgets for projects and organizational units, when cloud costs are higher or lower than planned budgets, immediate notifications are sent to those in need so that risk can be managed.
In addition, financial personnel who are sensitive to cost management provide a dashboard so that they can grasp the company's cloud budget and costs at a glance and predict the runway.
For example, in the past, budget plans were based on seasonal variability or cost increases for new projects based on human experience, and cost fluctuations could not be detected in advance, so they had to take the risk of budget overruns or lack of resources. AI-based cost forecasting detects future cost increases in real time and provides budget financial simulations reflecting this, so companies can make financial plans more accurately and quickly, and manage them reliably.
Enterprise B increased annual cloud budget accuracy from 80% to over 90% by using OpsNow's AI-based budget management capabilities. We were able to effectively set an overall budget by allocating a budget for each organization and receiving recommendations for expenses to be incurred during the year based on past costs of cloud resources managed by that organization from the OpsNow budget management function. In addition, management of monthly expenses has been improved by setting to receive notifications via email, Slack, Google Chat, etc. before monthly expenses reach the budget for each organization's budget items. This made it possible to establish a more stable financial plan.
Customer story: Improving the accuracy of cloud budget management and departmental cost analysis
There are many ways to optimize cloud costs. Recommendations such as resource optimization, detection and removal of inefficient resources, and reserved instances (RIs) and savings plans (SPs) are generally provided. In addition to these basic optimization features, OpsNow supports optimization across multi-cloud environments with more precision through self-developed optimization logic.
In particular, OpsNow provides cost efficiency through its own logic 'autoSavings', which provides functions such as automatic RI/SP purchases and recommendations. This function is currently being operated in the US region (https://opsnow.io)에서), and this feature will also be launched in the Korean market in the first half of the year, and more efficient cost management can be expected.
Additionally, OpsNow doesn't just maintain the current state of affairs; it also continuously analyzes data to identify optimization opportunities, suggest cost savings factors through monthly reports, and suggest new recommendations. Clients operate on a performance-based basis without additional costs or commitments, providing a win-win success model by sharing part of the customer's savings.
OpsNow customers in the US are reducing cloud costs through AutoSavings.
- Healthcare company H: Approximately 20% savings
- Restaurant Franchise Operator B: Approximately 25% savings
- OpsNow overall customer average: savings of approximately 37%
- Maximum savings rate: approximately 65% (when optimizing Reserved Instances)
With the advent of ChatGPT, the paradigm of how information is obtained is rapidly changing. In particular, information acquisition through questions has dramatically reduced the traditional complex analysis process. OpsNow is also preparing to solve problems through AI and questions through OpsNow Insight in line with these technology trends, and in particular, to provide more accurate information using OpsNow's own cost and analysis data to solve data reliability issues and errors such as LLM's hallucination (hallucination hallucination effect). Combining visual data with numerical analysis results, OpsNow Insight combines clear information and deep insight into cost analysis.
Since introducing the OpsNow Insight feature, Company D has increased work productivity by reducing work time spent on complex data analysis by 50% or more.
Customer story: Improving cloud management efficiency
OpsNow FinOps' AI-based automation and interactive analysis capabilities go beyond simple cost management to maximize the efficiency of enterprise operations. With OpsNow FinOps, you can go further in cost management and increase your company's competitiveness.
In the next special edition, we'll clearly share the questions and truth about OpsNow FinOps, focusing on frequently asked questions (FAQs) from companies. Please look forward to it!
Thank you
Hi, OpsNow team!
Thank you for your continued subscription to the OpsNow FinOps blog series. In the last series, OpsNow was the first in Korea to obtain FinOps Certified Platform (FCP) certification and introduced features tailored to domestic companies and actual use cases.
In this fourth installment, we'll take a closer look at how OpsNow FinOps's latest AI technology, which has received a lot of attention, is fundamentally transforming the way cloud costs are managed.
Sudden spikes in cloud costs place a heavy burden on a company's financial planning. Since abnormal cost detection provided by existing CSPs such as AWS, GCP, and Azure is based on cost data that has already been incurred, there is often a delay of 1 to 2 days between when the actual abnormal cost occurred and when it was recognized. Also, other solutions that re-analyze CSP data after receiving it will inevitably require additional analysis time.
OpsNow, on the other hand, analyzes and detects signs of abnormal costs within minutes based on actual usage data of cloud resources and immediately provides AI-based analytical information. This allows companies to take immediate action and quickly prevent cost issues.
Now that we have entered the AI era, the method of providing a cost analysis with a delay of 1 to 2 days based on past data is an outdated approach. Adopting an AI-based cost management system that can respond in real time in a rapidly changing cloud environment is essential.
A domestic company instantaneously experienced a rapid increase in the resources of hundreds of servers due to a security incident in a cloud environment that was being managed by a domestic company. Thanks to OpsNow's real-time analysis and detection capabilities, we were able to immediately identify and respond to abnormal cost signs to proactively prevent huge losses.
OpsNow use case: Minimizing damage after cloud account takeover
From a financial perspective, cloud cost forecasting is critical. Businesses must manage each risk when actual usage is high or low compared to estimated costs. However, cloud costs based on usage are very difficult to predict.
OpsNow's AI-based cost forecasting feature analyzes past cloud cost data and predicts future cost fluctuations to help companies establish reliable budget plans and manage cloud costs. Also, by setting budgets for projects and organizational units, when cloud costs are higher or lower than planned budgets, immediate notifications are sent to those in need so that risk can be managed.
In addition, financial personnel who are sensitive to cost management provide a dashboard so that they can grasp the company's cloud budget and costs at a glance and predict the runway.
For example, in the past, budget plans were based on seasonal variability or cost increases for new projects based on human experience, and cost fluctuations could not be detected in advance, so they had to take the risk of budget overruns or lack of resources. AI-based cost forecasting detects future cost increases in real time and provides budget financial simulations reflecting this, so companies can make financial plans more accurately and quickly, and manage them reliably.
Enterprise B increased annual cloud budget accuracy from 80% to over 90% by using OpsNow's AI-based budget management capabilities. We were able to effectively set an overall budget by allocating a budget for each organization and receiving recommendations for expenses to be incurred during the year based on past costs of cloud resources managed by that organization from the OpsNow budget management function. In addition, management of monthly expenses has been improved by setting to receive notifications via email, Slack, Google Chat, etc. before monthly expenses reach the budget for each organization's budget items. This made it possible to establish a more stable financial plan.
Customer story: Improving the accuracy of cloud budget management and departmental cost analysis
There are many ways to optimize cloud costs. Recommendations such as resource optimization, detection and removal of inefficient resources, and reserved instances (RIs) and savings plans (SPs) are generally provided. In addition to these basic optimization features, OpsNow supports optimization across multi-cloud environments with more precision through self-developed optimization logic.
In particular, OpsNow provides cost efficiency through its own logic 'autoSavings', which provides functions such as automatic RI/SP purchases and recommendations. This function is currently being operated in the US region (https://opsnow.io)에서), and this feature will also be launched in the Korean market in the first half of the year, and more efficient cost management can be expected.
Additionally, OpsNow doesn't just maintain the current state of affairs; it also continuously analyzes data to identify optimization opportunities, suggest cost savings factors through monthly reports, and suggest new recommendations. Clients operate on a performance-based basis without additional costs or commitments, providing a win-win success model by sharing part of the customer's savings.
OpsNow customers in the US are reducing cloud costs through AutoSavings.
- Healthcare company H: Approximately 20% savings
- Restaurant Franchise Operator B: Approximately 25% savings
- OpsNow overall customer average: savings of approximately 37%
- Maximum savings rate: approximately 65% (when optimizing Reserved Instances)
With the advent of ChatGPT, the paradigm of how information is obtained is rapidly changing. In particular, information acquisition through questions has dramatically reduced the traditional complex analysis process. OpsNow is also preparing to solve problems through AI and questions through OpsNow Insight in line with these technology trends, and in particular, to provide more accurate information using OpsNow's own cost and analysis data to solve data reliability issues and errors such as LLM's hallucination (hallucination hallucination effect). Combining visual data with numerical analysis results, OpsNow Insight combines clear information and deep insight into cost analysis.
Since introducing the OpsNow Insight feature, Company D has increased work productivity by reducing work time spent on complex data analysis by 50% or more.
Customer story: Improving cloud management efficiency
OpsNow FinOps' AI-based automation and interactive analysis capabilities go beyond simple cost management to maximize the efficiency of enterprise operations. With OpsNow FinOps, you can go further in cost management and increase your company's competitiveness.
In the next special edition, we'll clearly share the questions and truth about OpsNow FinOps, focusing on frequently asked questions (FAQs) from companies. Please look forward to it!
Thank you
Hi, OpsNow team!
Thank you for your continued subscription to the OpsNow FinOps blog series. In the last series, OpsNow was the first in Korea to obtain FinOps Certified Platform (FCP) certification and introduced features tailored to domestic companies and actual use cases.
In this fourth installment, we'll take a closer look at how OpsNow FinOps's latest AI technology, which has received a lot of attention, is fundamentally transforming the way cloud costs are managed.
Sudden spikes in cloud costs place a heavy burden on a company's financial planning. Since abnormal cost detection provided by existing CSPs such as AWS, GCP, and Azure is based on cost data that has already been incurred, there is often a delay of 1 to 2 days between when the actual abnormal cost occurred and when it was recognized. Also, other solutions that re-analyze CSP data after receiving it will inevitably require additional analysis time.
OpsNow, on the other hand, analyzes and detects signs of abnormal costs within minutes based on actual usage data of cloud resources and immediately provides AI-based analytical information. This allows companies to take immediate action and quickly prevent cost issues.
Now that we have entered the AI era, the method of providing a cost analysis with a delay of 1 to 2 days based on past data is an outdated approach. Adopting an AI-based cost management system that can respond in real time in a rapidly changing cloud environment is essential.
A domestic company instantaneously experienced a rapid increase in the resources of hundreds of servers due to a security incident in a cloud environment that was being managed by a domestic company. Thanks to OpsNow's real-time analysis and detection capabilities, we were able to immediately identify and respond to abnormal cost signs to proactively prevent huge losses.
OpsNow use case: Minimizing damage after cloud account takeover
From a financial perspective, cloud cost forecasting is critical. Businesses must manage each risk when actual usage is high or low compared to estimated costs. However, cloud costs based on usage are very difficult to predict.
OpsNow's AI-based cost forecasting feature analyzes past cloud cost data and predicts future cost fluctuations to help companies establish reliable budget plans and manage cloud costs. Also, by setting budgets for projects and organizational units, when cloud costs are higher or lower than planned budgets, immediate notifications are sent to those in need so that risk can be managed.
In addition, financial personnel who are sensitive to cost management provide a dashboard so that they can grasp the company's cloud budget and costs at a glance and predict the runway.
For example, in the past, budget plans were based on seasonal variability or cost increases for new projects based on human experience, and cost fluctuations could not be detected in advance, so they had to take the risk of budget overruns or lack of resources. AI-based cost forecasting detects future cost increases in real time and provides budget financial simulations reflecting this, so companies can make financial plans more accurately and quickly, and manage them reliably.
Enterprise B increased annual cloud budget accuracy from 80% to over 90% by using OpsNow's AI-based budget management capabilities. We were able to effectively set an overall budget by allocating a budget for each organization and receiving recommendations for expenses to be incurred during the year based on past costs of cloud resources managed by that organization from the OpsNow budget management function. In addition, management of monthly expenses has been improved by setting to receive notifications via email, Slack, Google Chat, etc. before monthly expenses reach the budget for each organization's budget items. This made it possible to establish a more stable financial plan.
Customer story: Improving the accuracy of cloud budget management and departmental cost analysis
There are many ways to optimize cloud costs. Recommendations such as resource optimization, detection and removal of inefficient resources, and reserved instances (RIs) and savings plans (SPs) are generally provided. In addition to these basic optimization features, OpsNow supports optimization across multi-cloud environments with more precision through self-developed optimization logic.
In particular, OpsNow provides cost efficiency through its own logic 'autoSavings', which provides functions such as automatic RI/SP purchases and recommendations. This function is currently being operated in the US region (https://opsnow.io)에서), and this feature will also be launched in the Korean market in the first half of the year, and more efficient cost management can be expected.
Additionally, OpsNow doesn't just maintain the current state of affairs; it also continuously analyzes data to identify optimization opportunities, suggest cost savings factors through monthly reports, and suggest new recommendations. Clients operate on a performance-based basis without additional costs or commitments, providing a win-win success model by sharing part of the customer's savings.
OpsNow customers in the US are reducing cloud costs through AutoSavings.
- Healthcare company H: Approximately 20% savings
- Restaurant Franchise Operator B: Approximately 25% savings
- OpsNow overall customer average: savings of approximately 37%
- Maximum savings rate: approximately 65% (when optimizing Reserved Instances)
With the advent of ChatGPT, the paradigm of how information is obtained is rapidly changing. In particular, information acquisition through questions has dramatically reduced the traditional complex analysis process. OpsNow is also preparing to solve problems through AI and questions through OpsNow Insight in line with these technology trends, and in particular, to provide more accurate information using OpsNow's own cost and analysis data to solve data reliability issues and errors such as LLM's hallucination (hallucination hallucination effect). Combining visual data with numerical analysis results, OpsNow Insight combines clear information and deep insight into cost analysis.
Since introducing the OpsNow Insight feature, Company D has increased work productivity by reducing work time spent on complex data analysis by 50% or more.
Customer story: Improving cloud management efficiency
OpsNow FinOps' AI-based automation and interactive analysis capabilities go beyond simple cost management to maximize the efficiency of enterprise operations. With OpsNow FinOps, you can go further in cost management and increase your company's competitiveness.
In the next special edition, we'll clearly share the questions and truth about OpsNow FinOps, focusing on frequently asked questions (FAQs) from companies. Please look forward to it!
Thank you
Hi, OpsNow team!
Thank you for your continued subscription to the OpsNow FinOps blog series. In the last series, OpsNow was the first in Korea to obtain FinOps Certified Platform (FCP) certification and introduced features tailored to domestic companies and actual use cases.
In this fourth installment, we'll take a closer look at how OpsNow FinOps's latest AI technology, which has received a lot of attention, is fundamentally transforming the way cloud costs are managed.
Sudden spikes in cloud costs place a heavy burden on a company's financial planning. Since abnormal cost detection provided by existing CSPs such as AWS, GCP, and Azure is based on cost data that has already been incurred, there is often a delay of 1 to 2 days between when the actual abnormal cost occurred and when it was recognized. Also, other solutions that re-analyze CSP data after receiving it will inevitably require additional analysis time.
OpsNow, on the other hand, analyzes and detects signs of abnormal costs within minutes based on actual usage data of cloud resources and immediately provides AI-based analytical information. This allows companies to take immediate action and quickly prevent cost issues.
Now that we have entered the AI era, the method of providing a cost analysis with a delay of 1 to 2 days based on past data is an outdated approach. Adopting an AI-based cost management system that can respond in real time in a rapidly changing cloud environment is essential.
A domestic company instantaneously experienced a rapid increase in the resources of hundreds of servers due to a security incident in a cloud environment that was being managed by a domestic company. Thanks to OpsNow's real-time analysis and detection capabilities, we were able to immediately identify and respond to abnormal cost signs to proactively prevent huge losses.
OpsNow use case: Minimizing damage after cloud account takeover
From a financial perspective, cloud cost forecasting is critical. Businesses must manage each risk when actual usage is high or low compared to estimated costs. However, cloud costs based on usage are very difficult to predict.
OpsNow's AI-based cost forecasting feature analyzes past cloud cost data and predicts future cost fluctuations to help companies establish reliable budget plans and manage cloud costs. Also, by setting budgets for projects and organizational units, when cloud costs are higher or lower than planned budgets, immediate notifications are sent to those in need so that risk can be managed.
In addition, financial personnel who are sensitive to cost management provide a dashboard so that they can grasp the company's cloud budget and costs at a glance and predict the runway.
For example, in the past, budget plans were based on seasonal variability or cost increases for new projects based on human experience, and cost fluctuations could not be detected in advance, so they had to take the risk of budget overruns or lack of resources. AI-based cost forecasting detects future cost increases in real time and provides budget financial simulations reflecting this, so companies can make financial plans more accurately and quickly, and manage them reliably.
Enterprise B increased annual cloud budget accuracy from 80% to over 90% by using OpsNow's AI-based budget management capabilities. We were able to effectively set an overall budget by allocating a budget for each organization and receiving recommendations for expenses to be incurred during the year based on past costs of cloud resources managed by that organization from the OpsNow budget management function. In addition, management of monthly expenses has been improved by setting to receive notifications via email, Slack, Google Chat, etc. before monthly expenses reach the budget for each organization's budget items. This made it possible to establish a more stable financial plan.
Customer story: Improving the accuracy of cloud budget management and departmental cost analysis
There are many ways to optimize cloud costs. Recommendations such as resource optimization, detection and removal of inefficient resources, and reserved instances (RIs) and savings plans (SPs) are generally provided. In addition to these basic optimization features, OpsNow supports optimization across multi-cloud environments with more precision through self-developed optimization logic.
In particular, OpsNow provides cost efficiency through its own logic 'autoSavings', which provides functions such as automatic RI/SP purchases and recommendations. This function is currently being operated in the US region (https://opsnow.io)에서), and this feature will also be launched in the Korean market in the first half of the year, and more efficient cost management can be expected.
Additionally, OpsNow doesn't just maintain the current state of affairs; it also continuously analyzes data to identify optimization opportunities, suggest cost savings factors through monthly reports, and suggest new recommendations. Clients operate on a performance-based basis without additional costs or commitments, providing a win-win success model by sharing part of the customer's savings.
OpsNow customers in the US are reducing cloud costs through AutoSavings.
- Healthcare company H: Approximately 20% savings
- Restaurant Franchise Operator B: Approximately 25% savings
- OpsNow overall customer average: savings of approximately 37%
- Maximum savings rate: approximately 65% (when optimizing Reserved Instances)
With the advent of ChatGPT, the paradigm of how information is obtained is rapidly changing. In particular, information acquisition through questions has dramatically reduced the traditional complex analysis process. OpsNow is also preparing to solve problems through AI and questions through OpsNow Insight in line with these technology trends, and in particular, to provide more accurate information using OpsNow's own cost and analysis data to solve data reliability issues and errors such as LLM's hallucination (hallucination hallucination effect). Combining visual data with numerical analysis results, OpsNow Insight combines clear information and deep insight into cost analysis.
Since introducing the OpsNow Insight feature, Company D has increased work productivity by reducing work time spent on complex data analysis by 50% or more.
Customer story: Improving cloud management efficiency
OpsNow FinOps' AI-based automation and interactive analysis capabilities go beyond simple cost management to maximize the efficiency of enterprise operations. With OpsNow FinOps, you can go further in cost management and increase your company's competitiveness.
In the next special edition, we'll clearly share the questions and truth about OpsNow FinOps, focusing on frequently asked questions (FAQs) from companies. Please look forward to it!
Thank you