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The Role of AI in Transforming Data Management

Author

Chakshu Chhabrra

Data Management Transformation with AI
Reminiscing the old days, approximately 5 exabytes of information were generated between the dawn of civilization and the early 2000s. Today, this figure stands at a whopping 328.77 million terabytes per day. In the modern corporate era, every function, operation, task, and decision heavily depends on data. However, the real problem for businesses is managing the skyrocketing volume and velocity of data generation.  Modern data is vast, complex, highly unstructured, and extracted from a plethora of sources, making traditional data management solutions a complete failure. Thankfully, Data Management Transformation With AI has evolved from a fictional concept to a reality.  Businesses are investigating advanced AI-powered approaches to handle data and derive reliable insights for informed decision-making and corporate growth. But what roles does AI exactly play in reshaping data management? Let’s dig in to find out!

Exploring Artificial Intelligence in Data Management

The Role of AI in Data Management   2023 catalyzed the adoption of artificial intelligence (AI) for vast applications across almost every industry with the emergence of generative AI. One-third of respondents in the latest McKinsey survey reported that generative AI is being leveraged for at least one function in the business.  The Transformation of data management with AI has become a reality owing to the evolving data needs of enterprises. Big to small firms strive to decentralize data and render it as a product to internal stakeholders and external customers. In addition, the increasing demand for relevant data is prompting the need for robust solutions to automate and augment data integration. As of now, AI is the only technological solution that can help businesses keep up with evolving data needs. AI is powerful enough to simplify the modern-day, complex data management process, from data extraction to data analysis and governance.     So, what goes on behind the Data Management Transformation With AI AI technologies, such as machine learning algorithms, are coming forward to help accelerate routine data management tasks, including data cleansing and classification and pinpointing anomalies. Moreover, deep learning and natural language processing are the two helpful constituents of AI that simplify text or image analysis. 

How Artificial Intelligence is Improving Data Management?

  AI Improving Data Management   Artificial Intelligence (AI) is serving as a cutting-edge tool for managing enormous, highly complex data, enabling enhanced data analysis and business decision-making. But how exactly does Data Management Transformation With AI works?  Let’s read on to understand how AI is improving the following aspects of data management:  
  • Building Scalable Data Architecture with AI

The first element of the Transformation of data management with AI is building a data architecture.  With data volume, velocity, and variety increasing at a never-before-seen rate as the digital world grows, the necessity for scalable data architecture becomes critical. Businesses are on the lookout to adopt data architecture that can grow seamlessly to deal with large-scale data operations without compromising data quality.  AI automates the data labeling or categorization processes, making it possible to store data in the appropriate location within your architecture. As a result, any authorized individual can easily retrieve and utilize that data.   
  • Extracting Data with AI

You need to have data to manage it. However, with the increasing number of unstructured data sources, extracting data has become extremely complex for traditional tools. Conventionally, data extraction tools used to work on template-based models, allowing users to collect data from documents following the same template. However, with AI-powered tools, the need for uniformity in templates has vanished. These tools leverage natural language processing (NLP) to understand the information field a company needs to extract.  For instance, are you looking for client information from invoices? All you need to do is specify the fields, and the AI tool will extract the information, no matter the format.  
  • AI Integrating Data and Breaking Down Silos

Data silos are among the common burning issues enterprises face. When crucial business data is dispersed across multiple, unconnected platforms, decision-makers find it difficult to obtain a complete picture of important stakeholders, such as partners, suppliers, and customers. AI-driven data integration platforms facilitate automated and streamlined data integration, enabling companies to quickly map data, resolve potential issues, and improve data consistency and integrity.  
  • Cleaning out Low-Quality Data with AI

Are you struggling to make informed decisions due to outdated, missing, incorrect, or inconsistent data? AI is here to help you clean out poor-quality data.  Conventionally, data cleansing was all about manual efforts and used to require regular maintenance. However, now AI-powered data cleansing tools are all you need to automatically scan your extensive database and eliminate or rectify duplicated, anomalous, or incorrect entries.    
  • Improving Data Analysis with AI

When talking about Data Management Transformation With AI, how can you miss out on data analysis? With the invention of GPT, the integration of ALP in data analytics is gaining momentum.  Businesses are deploying NLP techniques to analyze textual and visual data from diverse sources, from customer feedback surveys to social media and documents. In addition, AI is powerful enough to group similar data by leveraging clustering algorithms, making analyzing data easier. AI-powered machine learning models can use fundamental data analysis techniques like decision trees or regression analysis to analyze multi-dimensional datasets.
  • AI Facilitating Robust Data Security

  B2B data is always under the constant threat of unauthorized access, theft, or loss. Integrating AI for data governance is an optimal solution to safeguard your valuable business data from these threats.  Not only can AI identify threats, but it also strengthens data security via encryption. AI-driven data security tools can constantly monitor your data, detect suspicious activity, and instantly change encryption methods to prevent unauthorized access.  

Acelerar Accelerating the Data Management Transformation with AI for Modern Businesses

  Acelerar understands how challenging it can be for businesses to handle massive volume of data everyday. As a result, enterprises find themselves facing data mismanagement issues, hampering their business productivity.  You can overcome your data management-related issues and manage your B2B data seamlessly with our data entry, data cleansing, data profiling, data verification, data appending, and forms processing services. Moreover, we render tailor-made data management solutions that aligns with your unique data management needs.

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