AI is Transforming Data Wrangling

In today’s world, data is everywhere. We rely on it to make decisions, track progress, understand trends, and so much more. But before data can be useful, it needs to be wrangled – found, collected, organized, cleaned, and enhanced. Let’s take a look at how Artificial Intelligence, or AI, is revolutionizing this process, making it faster, easier, and more accurate.

AI Helps Us Find Information Faster

AI can help us find information faster in various ways, including the use of AI web browsing and AI web crawling. These methods can drastically cut down the time it takes to find relevant and necessary information, speeding up decision-making processes and enhancing productivity.

  • AI Web Browsing: Think of this as having a personal assistant who never sleeps and can read thousands of pages of information in seconds. AI web browsing involves using AI systems to navigate the internet based on your specific needs and retrieve the most relevant information. Consider a real estate agent who needs to find properties that fit their clients’ unique needs. An AI could browse property listings on their behalf, using specific criteria to find suitable matches. This not only saves the agent hours of manual search time, but it also ensures that no potential properties are missed.
  • AI Web Crawling: This is a more systematic approach to browsing the internet. An AI web crawler can be programmed to search the web and index specific data, making it easier for you to retrieve this information later. For a financial analyst, AI can systematically browse the internet to retrieve specific data on stock performances, financial news, and market trends, helping them make informed decisions without having to scour through multiple websites manually.


AI Collects and Extracts the Information We Need

AI can assist us in collecting and extracting information in various ways. AI’s ability to collect and extract information not only saves time but also reduces errors that may arise during manual data collection. It ensures consistency in data collection, especially when dealing with large volumes of data or when the data needs to be extracted from complex or unstructured sources like documents or websites. Two common examples of this include intelligent document processing and form generation.

  • Intelligent Document Processing: This feature allows AI to analyze a document and extract relevant information, converting it into a more usable format. Imagine a human resources manager sifting through hundreds of job applications. AI can process these documents, extracting relevant information such as applicants’ qualifications, work experience, and skills, and converting it into a usable format for easier comparison.
  • Form Generation: AI can generate forms based on specific requirements, simplifying data collection. An event planner might need to collect specific details about attendees’ preferences or dietary requirements. AI can generate forms based on these specific requirements, streamlining data collection and ensuring no crucial information is missed.


AI Organizes Information Logically

AI can drastically enhance the way we organize information, making it more logical and easier to navigate. By implementing AI to organize data, we can improve the efficiency and accuracy of our work, allowing us to focus more on strategic tasks rather than getting bogged down with administrative tasks. Two major ways AI accomplishes this are through automated data entry and intelligent tagging.

  • Data Entry: AI can be used to automate the process of data entry. It can read, understand, and input data into systems on our behalf. This not only saves time but also reduces the chances of human error. Consider a salesperson who needs to input customer information into a database. AI can automate this process, reducing errors and saving time that the salesperson can use for interacting with customers.A major challenge businesses often face is dealing with unstructured data, which consists of information that doesn’t fit into traditional databases, such as emails, social media posts, customer reviews, or even medical records.

    Consider a healthcare organization that has vast amounts of patient data in the form of handwritten notes, audio recordings, and lab results. This unstructured data holds invaluable insights, but manually sifting through it would be an arduous task, not to mention prone to inaccuracies.

    AI can play a crucial role here. Natural language processing, a subfield of AI, can understand, analyze, and categorize this unstructured data. For example, AI can tag and organize patient records based on specific conditions, treatments, or symptoms mentioned in the notes or recordings. AI can even pick up patterns or connections that a human might miss, like correlating specific symptoms with a diagnosis more accurately, based on a wide array of data.

    By doing this, AI allows healthcare professionals to easily retrieve and analyze patient information. This can help them identify patterns, make accurate diagnoses, and offer personalized treatment plans, ultimately improving patient care and health outcomes.

    So, by organizing unstructured data in a logical and accessible way, AI not only enhances efficiency but also paves the way for more informed decision-making and better results.

  • Tagging: AI can automatically tag or label data based on its content, making it easier to categorize, retrieve, and analyze. For a librarian, AI can tag books and other resources based on their content, making categorization and retrieval much easier and efficient.


AI Cleans and Formats Our Data

Cleaning and formatting data are essential steps in making data useful and ready for analysis. AI can dramatically assist in these processes, making them faster, more accurate, and efficient. By using AI in these ways, we can spend less time on tedious tasks and more time on analyzing the data and gaining valuable insights. Here are some ways AI can help clean and format data:

  • Audio to Text (Transcription): AI can convert any audio signals into text. A journalist may need to transcribe recorded interviews for a news article. AI can convert the recorded audio files into written text, making the information more accessible and easier to work with.
  • Speech to Text: In real-time scenarios, AI can convert human spoken words into written text. For a teacher recording an online lecture, AI can transcribe spoken words into written text in real-time, providing subtitles for students who may have hearing impairments or language difficulties.
  • Image to Text: Optical Character Recognition (OCR) is a technology that recognizes text within images (like scanned documents or photos), extracts the text, and converts it into an editable and searchable format. In a museum, AI can extract text from images of historical documents, making the information searchable, editable, and easier to study and preserve.


AI Augments and Enhances Our Data

AI’s role in enhancing and augmenting data is transformative. It makes information more comprehensible, accessible, and actionable across various fields and applications, leading to improved decision-making and insights.

  • Text Enhancement: AI can drastically improve the quality of written content. It uses natural language processing to proofread text, correct grammar, punctuation, and spelling errors, revise style and tone, and improve semantic coherence. It can even optimize the text for specific objectives, such as increasing readability or SEO ranking. For example, writing assistants like Grammarly use AI to make suggestions for improving grammar, punctuation, style, and clarity.
  • Image Enhancement: AI algorithms can amplify specific features of an image or suppress irrelevant ones to improve visibility. Techniques such as brightness and contrast adjustments, noise reduction, sharpening, and color correction are used to enhance the quality of digital images. For instance, healthcare professionals use AI-driven image enhancement techniques to improve the visibility of details in medical images like X-rays or MRIs, which can aid in more accurate diagnosis and treatment planning.
  • Audio Enhancement: AI can dramatically improve the quality of sound or audio signals. By reducing background noise, increasing clarity, removing unwanted sound, adjusting pitch or frequency levels, AI creates clearer, more understandable audio. This technology is especially useful in applications like transcription services or voice assistants, where the clarity of the audio signal can significantly impact performance.
  • Video Enhancement: AI can enhance the quality of video signals by increasing resolution, reducing noise, adjusting brightness/contrast, stabilizing shaky footage, removing compression artifacts, performing color correction, and more. This technology can help bring out important details in security footage or help upscale older, lower-quality videos to be more compatible with newer, high-definition displays.