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
Data Quality Assurance with Best Practices
Optimal decisions require high-quality data. To achieve and sustain high data quality, companies must implement effective data quality assurance procedures. See what data quality assurance is, why it is essential, and the best practices for ensuring data quality.
Dataforce by TransPerfect Review & Alternatives
Our readers interested in Dataforce usually fall under the following two categories; click on yours to see relevant information: See an in-depth review of Dataforce by TransPerfect, which compares Dataforce with its top 3 alternatives. Top 3 Dataforce alternatives (for contributors) Table 1.
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.
10-Point Retail Audit Checklist with Case Studies
Retail audits are essential for consumer product goods (CPG) or fast-moving consumer goods (FMCG) companies to ensure success at their retail end. While some brands use retail and planogram audit services, others handle these audits internally. This article presents a 10-point checklist to help CPG brands in executing comprehensive retail audits.
10 Open Source Data Labeling Platforms
Data labeling, the process of annotating raw data (such as images, text, or audio), is essential for training ML models to perform tasks like classification and recognition. While pre-built solutions exist, they may not always meet specific needs, making open-source platforms a more flexible and customizable alternative. See the top 10 open-source data labeling tools.
12 Digital Transformation Trends & Use Cases in Education
The COVID-19 pandemic has accelerated digital transformation in education as nearly 1.5 billion students worldwide became distanced from their classrooms. However, online education is not the only way digital technologies transform the teaching and learning experience. We explore how digital transformation affects education with key technologies and trends.
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.
Top 10 Mobile DLP Best Practices & Case Studies
As remote work and mobile device usage continue to increase, protecting sensitive data on mobile platforms has become a top priority for organizations. Mobile devices often present vulnerabilities for DLP software due to their portability, access to cloud systems, and various apps (Figure 1).
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.
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