Revolutionizing Data Ingestion: The Advantages of Human-in-the-Loop AI
Human-in-the-Loop AI is a game-changer when it comes to optimizing data ingestion for midstream companies, resulting in unparalleled efficiency and precision.
In the fast-paced world of midstream energy, where efficiency and accuracy are paramount, the quest for a Verified Single Source of Truth (Verified SSoT) across supply chains has been an ongoing challenge. At the heart of this challenge lies the ingestion of unstructured data – the PDFs, scans, and assorted documents that contain crucial information like as-builts, MTRs, and welding records.
Traditionally, the process of extracting data from these unstructured sources has relied heavily on Optical Character Recognition (OCR) technology. However, the limitations of OCR have become increasingly apparent, particularly in the face of large volumes of complex documents. Enter Human-in-the-Loop AI, a groundbreaking approach that is poised to revolutionize data ingestion for midstream energy companies.
What is Human in the Loop AI?
Human-in-the-Loop AI (HITL AI) refers to a paradigm of artificial intelligence (AI) systems where human intelligence and oversight are integrated into the learning and decision-making processes of the AI model. In this approach, humans interact with the AI system to provide feedback, validation, correction, or guidance, thereby improving the system's performance and reliability.
In a HITL AI system, humans typically play various roles, including:
1. Training Data Annotation: Humans label or annotate training data to teach the AI model to recognize patterns or make decisions accurately.
2. Model Training and Validation: Humans oversee the training process, fine-tune the model's parameters, and validate its outputs to ensure correctness and reliability.
3. Error Correction: Humans intervene when the AI system makes errors or encounters ambiguous situations, providing corrections or additional context to improve its performance.
4. Complex Decision-Making: Humans make final decisions based on AI-generated recommendations or insights, especially in critical or sensitive domains where human judgment is essential.
By incorporating human intelligence into the AI loop, HITL AI systems address the limitations of purely automated approaches, particularly in scenarios where contextual understanding, subjective judgment, or nuanced interpretation is required. This symbiotic relationship between humans and AI fosters continuous learning, adaptation, and improvement, ultimately leading to more robust and trustworthy AI applications.
Streamlining Data Ingestion
Here at Vintri Technologies, we've witnessed firsthand the transformative potential of Human-in-the-Loop AI. In a recent use case involving a set of welding records, our data analysts initially spent over 100 hours utilizing the industry's best OCR technology to extract the necessary information. However, by leveraging our engineering team's expertise in teaching AI models and incorporating human feedback, we were able to achieve the same result in a mere 13 minutes.
This dramatic reduction in processing time highlights the significant opportunities that Human-in-the-Loop AI presents for midstream energy companies (and any operation that incorporates numerous components in its infrastructure). By combining the efficiency of automation with the nuanced understanding of human intelligence, organizations can streamline data ingestion processes, improve accuracy, and ultimately establish a Verified SSoT with greater speed and confidence.
While it's important to note that Human-in-the-Loop AI may not yet be applicable to every document or record, the success of our welding records use case underscores its immense potential. As technology continues to advance and AI models become increasingly sophisticated, we anticipate even greater strides in data ingestion efficiency and accuracy.
Further Reading
For those interested in delving deeper into the comparison between OCR and Human-in-the-Loop AI, here are some relevant articles:
As midstream energy companies continue to navigate the complexities of data management and establish robust SSoTs, embracing innovations like Human-in-the-Loop AI will be essential for staying ahead in an increasingly competitive landscape. At Vintri Technologies, we're committed to driving these advancements and empowering organizations to unlock the full potential of their data.
The Vintri Solution: vintriCORE
Vintri Technologies’ flagship software application, vintriCORE, is a nimble energy industry-specific data management solution that efficiently establishes a Verified SSoT for energy operators: a cross-verified, trustworthy singular source of data, which everyone in an organization will use to determine accurate findings and make informed decisions.
Vintri’s data management solution ensures that all energy infrastructure material data is traceable, verifiable, and complete (TVC), thus providing an efficient means to make informed decisions and readily satisfy industry regulations.