Özge Aykaç
Özge is an industry analyst at AIMultiple focused on data loss prevention, device control and data classification.
She is a member of the AIMultiple DLP benchmark team and evaluates the effectiveness of the top DLP providers.
Latest Articles from Özge
Human Annotated Data
As the AI market grows (Figure 1), integrating AI solutions remains challenging due to time-consuming tasks like data collection and annotation. Many use automated annotation tools to streamline the tedious process of data annotation, but robust machine learning models still require human-in-the-loop approaches and human-annotated data.
Human Generated Data with Methods
Despite the rise of generative AI tools like ChatGPT and Gemini, human-generated data remains crucial for AI developers. Companies like OpenAI invest heavily in obtaining human-generated data to train their large language models (LLMs). Whether through data collection services or in-house efforts, AI developers require a steady stream of human-generated data.
Top 4 Facial Recognition Data Collection Methods
Despite the controversies surrounding this technology, the facial recognition systems (FRS) market continues to grow. Facial recognition applications are everywhere, from helping improve mental disorder diagnoses to finding fugitives. Developing and improving these systems requires facial data, which sometimes can be challenging to obtain due to security and privacy-related concerns of people.
Automated Data Collection Tools & Use Cases
Automated data collection involves using automated systems to gather, process, and analyze information efficiently. Since automated data is produced from multiple sources and comes in various formats, understanding the different types of data and their origins is crucial for effectively implementing data automation.
Top 3 Appen Alternatives for Workers & Customers
Appen, an AI data service provider, faces challenges that may explain its declining popularity. We compared the top alternatives to Appen in the AI training data space. The alternatives to Appen depend on your goals. Explore alternatives for Appen’s: Appen alternatives for workers * Data is from Trustpilot, as it primarily consists of worker reviews.
Audio Data Collection for AI: Challenges & Best Practices
As the demand for voice recognition and virtual assistants grows , so does the need for audio data collection services. You can also work with an audio or speech data collection service to acquire relevant training data for your speech processing projects.
Image Data Collection with Best Practices
Computer vision (CV) is revolutionizing industries, from autonomous vehicles to healthcare, but success depends critically on the collection of high-quality image data. Organizations that implement strategic data collection services can achieve higher accuracy in specialized applications, while poor data strategies lead to biased models and compliance violations.
Ethical & Legal AI Data Collection
Disruptive technologies, such as AI, ML, the Internet of Things (IoT), and computer vision, require various types of data to operate. This data often includes biometric data, such as facial images and voice recordings. Collecting and managing such data requires multiple ethical and legal considerations, which, if disregarded, can lead to expensive lawsuits and significant reputational damage.
Top 6 AI Data Collection Challenges & Solutions
AI adoption was slightly lower last year (Figure 1); one reason could be the various challenges in implementing AI. Training data collection has been identified as one of the main barriers to AI adoption. To avoid data-related challenges, businesses are opting to work with AI data collection services.
Top 6 Data Collection Methods for AI and Machine Learning
While some companies rely on AI data collection services, others gather their data using scraping tools or other methods. See the top 6 AI data collection methods and techniques to fuel your AI projects with accurate data: Overview of AI data collection methods 1. Crowdsourcing Online talent platforms, such as crowdsourcing platforms, have various benefits.
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