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Artificial Intelligence (AI)

Why AIOps Needs Big Data and its Importance in Business

AIOps is an Artificial Intelligence used for IT Operations. It mainly uses Analytics, Machine Learning (ML), and Big Data to automate IT

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Introduction

The current IT environment has evolved to a point where old, manual methods were insufficient to keep up with today’s needs. Increasing complexity, the need for quick solutions, and the massive size of data in IT operations require AIOps to function smoothly.

1. What is AIOps?

AIOps is an Artificial Intelligence used for IT Operations. It mainly uses Analytics, Machine Learning (ML), and Big Data to automate IT operations and produce results in real-time. It is an essential tool for monitoring and managing IT Operations.

If issues in digital services are not quickly detected and resolved, business operations will be negatively affected. Customers will not have a satisfying experience. To avoid this situation, AIOps must be implemented.

AIOps does an algorithmic analysis of all the data and helps the IT Operations and DevOps (Development Operations) teams identify and resolve high-speed issues. AIOps prevents outages, reduces downtime, and provides seamless services. AIOps can give better insights as all the information is centrally stored in one place.

2. Aspects of IT Operations monitoring using AIOps:

a. Data Selection

The modern IT environment generates massive amounts of heterogeneous data. For example, event records, metrics, logs, and other data types from different sources like applications, networks, storage, cloud instances, etc. This data is always high in volume, and the majority of it is redundant. AIOps use entropy algorithms to remove noise and duplication.

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b. Pattern discovery

Select meaningful data and group them by correlation and identifying the relationship between them using various criteria. These groups of data can be further analyzed to discover a particular pattern.

c. Inference

Recurring problems are analyzed, and root causes are found. Identifying such issues makes resolving them more comfortable and quicker.

d. Collaboration

AIOps tools help report to required operators for collaboration without any mishaps, even when these operators are in different departments or different geographical locations.

e. Automation

Automation is the heart of AIOps. When the business’s infrastructure continues to grow and multiply, AIOps helps automate all the business processes. It helps store data centrally, auto-discovering, and mapping the infrastructure, updating databases (CMDB), automating redundant tasks and processes. Thus, leading to agile and efficient IT and business operations.

3. What is Big Data?

Big Data is a high volume of structured and unstructured data generated by businesses at high speed at varying veracity.

It systematically extracts meaningful insights from this data to make better decisions and strategic business moves. With the advent of digital storage in 2000, data creation increased as digital storage was cheaper than analogue storage. DVDs made data sharing easier.

As institutions like universities, hospitals, businesses started using technology, the amount of data created went through the roof. This resulted in two problems.

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a. The rigidity of relational data structures

This was solved by using Data lakes. The data lake is a centralized repository that allows data storage of all the structured and unstructured data (usually files or object blobs) at any scale and makes it available for analysis.

b. Processing queries in the relational database has scaling issues.

When queries were processed in a single queue, it was time-consuming. The use of Massive Parallel Processing (MPP) resolved this technical issue.

Hadoop 1.0 is an open-source software framework. It was implemented using data lakes and MPP. Apache Hadoop facilitated the use of big data in all organizations. Hospitals, Scientists, and businesses used big data to analyse large data sets quickly and derive valuable insights.

Hadoop 1.0 had few drawbacks. The optimization of data was complicated. The organization had to employ data scientists to get the required insights.

The introduction of Hadoop 2.0 resolved those issues and further commoditized big data. Hadoop 2.0 also enabled the use of AIOps.

4. The necessity of big data for AIOps

AIOps can function only with big data as older datasets are small and inefficient.

Hadoop 2.0 had a YARN feature that supported data streaming. It also enabled interactive query support. It allowed the integration of third-party applications.

This means that analytics could be improved, but only if it was re-architectured. Organizations without data science resources still had difficulty in optimizing and using Hadoop for better data analytics.

The requirement for more purpose-built and easy use solutions brought companies like Logstash, Elastic, and Kibana to the market. They replaced Hadoop in a few use cases.

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5. What does this mean for your business?

This is important for Core IT Operations and Service Management because they rely on an interactive query and streaming data technology.

The Digital Transformation of organizations elevated the need for IT solutions. IT had to deal with increasing complexity, massive data size, and speed.

Transition by upgrading or re-architecture method to support Big Data was also tricky due to purpose-built applications, and the data remained in silos.

AIOps makes Artificial Intelligence take over manual analysis. Data from all the silos form the dataset. Interactive solutions are designed from both technical and usability perspectives.

Conclusion

IT operations need to work on diverse data, analyze real-time streaming data, identify and automate workflows, derive meaningful insights, and support historical analysis. All this requires businesses to build a Big Data backend on the AIOps platform.

AIOps initiative must not be built with a traditional, relational database. AIOps improves the functionality of IT operations. Hence, we can say that AIOps needs Big Data to function efficiently. Also, businesses and corporations that need to store large amounts of data will need AIOps to function correctly, automate tasks, obtain insights, and work efficiently as per the trending demands from end-users.

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Artificial Intelligence (AI)

Construction Project Management & Other Construction Trends to Look Out For in 2021

As the construction industry is getting more competitive, you have to look out for the following construction industry trends that will prevail in 2021 and beyond.

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7 Solid Tips to Strengthen Your Online Business Brand

After a turbulent year of adjusting to the pandemic’s changes and the changing online landscape, many businesses, including the construction business industry, are thriving to re-emerge and grow in 2021.

With the increased labour shortage and construction expenses, the construction industry is forced to integrate innovative tech solutions to stand out in the competitive industry niche and reduce the potential risks of error and construction-material waste. While more construction businesses are integrating construction project management software in their business model, they are also focusing on other aspects to improve their projects and meet the expectations of their clients.

With the latest tech-related adjustments, innovative technology trends continuously affect construction sites, improve construction projects, and boost sales and revenue. Certain construction trends are working at the core of construction businesses and frontline construction workers.

As the construction industry is getting more competitive, you have to look out for the following construction industry trends that will prevail in 2021 and beyond. Read on to learn more!

1. Safety Equipment

Safety comes first, particularly when it comes to dangerous occupations, such as working at construction sites. With innovative software and machinery, construction sites improve their safety measurements as the machinery can now detect safety issues before accidents can occur.

A strong internet connection and Wi-Fi are being made available that covers all areas of the construction site, which assists with the quick and immediate reporting of accidents if a worker falls or gets injured. Innovative machinery that is integrated with AI (artificial intelligence) has made its way to construction sites.

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This machinery helps with the transportation and moving of hazardous materials., in addition, you are also more likely to expect AI (artificial intelligence) working at the core of the construction sites that also lay bricks and assist with construction.

When it comes to safety equipment, you will find headsets as an essential element on construction sites. The headsets keep the workers protected from noise pollution, which is common to see on construction sites. While watching workers from noise, the headsets also help the workers stay in tune with their work surroundings.

It is necessary to note here that contrary to the myth that AI (artificial intelligence) in the form of robots will soon be replacing humans, it is the opposite case with construction. The robots that you will find on the construction sites won’t be there to replace humans. On the contrary, the use of AI on construction is only to benefit the workers, reduce their loads, and keep them safe. That said, AI and robots are making room for higher-level jobs and new talent.

2. Efficient Use of Technology

As we mentioned before, we are moving into a different era dominated by technology. The biggest differences that you will find in today’s construction projects and the previous construction projects are the use of technology and how it is integrated into construction sites. Besides the use of construction project management software, you will also find the inclusion of smart contracts. In other words, the pandemic has shifted construction projects to technology construction.

The pandemic has performed an essential role in causing increased reliance on technology. The construction project management software, for instance, helps in keeping all employees on the same page as the milestones are marked. It also allows managers to manage all steps of the construction project remotely and effortlessly.

You can also expect drones to fly on construction sites. One essential benefit of construction drones is that they can cover areas that can effectively report and analyze the construction sites.

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