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What is AI Ready Data?

AI-ready data is all structured and unstructured voice and screen data—including metadata and conversation transcriptions—from customer interactions that’s ready for use within AI applications. To be AI ready, data must be accurately captured, transcribed and formatted for AI use.

Having AI-ready data is becoming increasingly important as businesses invest in solutions that use artificial intelligence—particularly generative AI—to improve operational efficiencies and drive business outcomes quickly and cost-effectively. For example, AI tools can “listen” to thousands of calls in a fraction of the time it would take a team of human auditors. They can also carry out repetitive tasks more accurately and efficiently without getting tired or burned out.

The main source of AI-ready data comes from call recordings; however, traditional recording systems alone cannot product data that is AI ready. Many legacy call recorders capture recordings intended solely for human playback rather than making the audio available or accessible for AI engines. As a result, many companies struggle to integrate AI tools into their existing workflows and processes.

Conversely, being AI-ready ensures that company data is well organized, enabling data teams to utilize it for AI models and work on AI-specific projects. As a result, businesses are encouraged to make their data AI ready as a critical first step in their AI blueprint.

Characteristics that make data AI-ready

Enterprise AI is human-centric, so businesses need to help machines understand human language. Making data AI-ready relies on having information stored in the right location and being easily accessible to data teams. The characteristics of AI-ready data include:

  • High quality and cleanliness: Clean, high-quality data is central to making data AI-ready. Guaranteeing high-quality data begins with cataloging and curating information to help data teams understand the data they work with. So, organizations must find ways to clean and store data in vast quantities while making it easily accessible.
  • Properly labeled and annotated: AI-ready data relies on appropriately labeled information, enabling it to be discovered quickly and efficiently.
  • Scalable and extensible: Organizations must ensure the tools they use for managing data can grow as their needs evolve.
  • Timely and up to date: AI-ready data relies on information within datasets being accurate and timely. Implementing robust data governance and quality measures ensures that information is accurate, consistent and duplicate-free. Additionally, observability tools can help companies better understand data health and risk and quickly solve any issues.
  • Comprehensive and complete: Organizations must ensure they’re working with complete datasets to maximize the potential of AI tools. Data can quickly become siloed across various systems, making it difficult to access across the cloud environments where AI is managed. So, it’s crucial to break down silos and ensure data is accessible from across the business.
  • Accessible and secure: Data storage tools must be secured to ensure AI-ready data can’t be shared outside the organization. Businesses must also comply with relevant data privacy and governance regulations.

Benefits of AI-ready data 

Having AI-ready data offers a wide range of benefits, including improving manual process automation and data accuracy and insights. For example, speech analytics tools can scour AI-ready voice data for compliance issues and quality assurance purposes. It can also uncover customer experience pain points and opportunities for improvement. 

Capturing AI-ready data

Uniphore’s U-Capture is an enterprise recorder that enables businesses to capture high-quality voice and screen data and gather relevant AI-ready data. It improves automation and analytics by integrating high-quality structured and unstructured data with enterprise AI applications in real time. The technology helps businesses reduce their cost of ownership and maintain full control of their data with unrestricted access and tools to assess quality.

Gain rich, AI-ready data insights

Uniphore’s conversational analytics solution, U-Analyze, uses generative AI to unearth interaction trends and discover customer intent and sentiment. The technology enables businesses to better understand customers, enhance customer experiences and optimize multiple customer service operations. U-Analyze helps companies uncover rich insights that would have otherwise gone missing and make the most of every customer interaction. 

Steps to prepare AI-ready data

Getting your data AI ready is essential to maximizing your voice and AI strategy. Steps to help you prepare for AI-ready data include: 

Data collection

Getting data AI-ready begins with collecting it in the right way. Uniphore’s technology enables you to capture every interaction across your customer and employee journey. Captured data can be archived, moved, purged and retained based on a company’s defined rules.

Data cleansing

Data can easily be duplicated or incorrectly labeled when working with multiple data sources. Data cleansing involves removing or fixing incorrect, incomplete or corrupted information from a dataset. Uniphore’s technology establishes a template for regularly cleansing data to ensure a high-performance dataset.

Data structuring

Data quality isn’t limited to what information tells you but how it’s structured. Good structure helps you reap the full value of your information and gain the best data-driven insights.

Data integration

To reap the full benefits of AI, it’s vital to integrate data from every corner of your business. Uniphore’s technology enables you to integrate AI-ready voice and screen data with all your enterprise applications.

Data anonymization

Data anonymization is critical to protecting private and sensitive information by removing identifiers that could connect information to a specific individual, such as personally identifiable information (PII). Anonymizing data helps companies comply with data privacy regulations that restrict how organizations handle and manage data to protect users.

Be AI ready: data for the future of business intelligence

Data is central to success in the new age of AI-powered business. Uniphore’s U-Capture technology captures voice data in a structured form, making it ready for use with AI engines. This ensures businesses can harness AI-ready data to maximize every customer interaction, better understand their users and create more powerful experiences. 

Discover how Uniphore can help you realize the full value of your AI-ready data with our U-Capture call and screen recording solution. 

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