Fraud has been a persistent threat to commerce and businesses, significantly undermining their financial health and adversely affecting their bottomline. In today’s fast paced world of technology and digital supremacy, the landscape of fraud is more dynamic than...
With 30% of AI-related mishaps in 2022 attributable to adversarial assaults, cybersecurity has become an important issue especially in the field of Artificial Intelligence. The continuous struggle to protect systems against malicious attacks is a huge hurdle for the...
In the growing landscape of e-commerce, making decisions based on correlation alone is insufficient and potentially misleading. Causal inference provides a more sound methodology that identifies the true factors influencing customer behavior and business...
The main difference between data science and business analytics is their focus and application. Data science involves the extraction, analysis, and interpretation of large datasets to gain insights and make data-driven decisions. It utilizes various statistical...
Emerging retrieval-augmented generation (RAG)-powered enterprise conversational QA applications leverage massive internal knowledge bases and conversational data to improve customer service, increase employee productivity, and help make better decisions. ...
Automated Machine Learning (AutoML) is a pivotal branch of artificial intelligence and machine learning, dedicated to streamlining the intricate steps involved in the machine learning pipeline. This encompasses the automation of tasks ranging from data preprocessing...
Data is the fuel that powers the modern digital economy. Data volume, velocity, and variety have increased exponentially, especially in the last decade. The total amount of data generated will reach 181 zettabytes in 2025. Disciplines such as data science and...
AI is leading the charge in the age of data-driven technology, transforming business and daily life. But this development comes with a price, frequently at the sacrifice of privacy. Data privacy problems have grown as AI models get more complex and data collection...
Jörg Schad, CTO at ArangoDB, illustrates how the fusion of Large Language Models and Knowledge Graphs creates a potent synergy, bypassing the need for specialist teams to manage database queries and averting model hallucinations. In the tech realm, LLMs, particularly...
Deep learning has achieved tremendous success in recent years, attaining state-of-the-art performance on complex tasks like image recognition, natural language processing, and speech recognition. However, deep neural networks typically require large amounts of labeled...