I still remember the days in the early 2010s, when the term „big data“ was widely discussed in the tech industry. Companies were encouraged to collect as much data as possible, seeing it as a key resource (or the new oil as we called it those days) for the digital economy. However, focusing only on […]
What Are Data Products and Why Do They Matter for AI and ML? (Part 1) Read More »
The AI landscape is undergoing a seismic shift, and at the epicenter is DeepSeek—a $6M Chinese AI startup that has achieved what Silicon Valley deemed impossible. In doing so, it has wiped $2 trillion off the market capitalization of U.S. tech stocks, with NVIDIA alone losing over $500 billion. This is not just a story
The $6M AI Startup or how to erase $2 Trillion worth of Market Cap Read More »
Generative AI (GenAI) tools, such as ChatGPT or other large language models (LLMs), are hailed as groundbreaking innovations for generating human-like responses to diverse prompts. They excel at mimicking natural language, summarizing information, and even assisting with creative tasks. However, their technical foundation raises significant concerns about their suitability as reliable tools for learning and
Generative AI tools like ChatGPT are revolutionizing how we interact with information. They excel at producing natural, human-like responses, summarizing complex topics, and even offering creative insights. Yet, despite these capabilities, they fall short in one crucial area: literature research. Here’s why Generative AI (GenAI) tools aren’t designed to handle the rigorous demands of academic
Why Generative AI Tools Are Not Suitable for Literature Research Read More »
Attending Gitex 2024 in Dubai felt like a step back into the golden days of CeBIT, Germany’s once world-renowned tech tradeshow. CeBIT was, for many years, the epicenter of technology and innovation, where businesses from all over the world came together to showcase cutting-edge technologies and close deals. I often reminisce about those times when
Reflections on Gitex 2024: A Glimpse into the Future of Technology Read More »
In the evolving landscape of real-time data processing, Apache Flink has emerged as one of the leading stream processing frameworks, offering capabilities that go far beyond traditional data batch processing systems. As businesses increasingly rely on real-time data to drive decision-making, Flink has become an essential tool, enabling organizations to process vast amounts of data
Apache Flink: Unleashing the Power of Stream Processing Read More »
In today’s data-driven world, businesses need to process and analyze vast amounts of information in real time. This demand has led to the rise of data streaming platforms, with Apache Kafka emerging as one of the most powerful and widely adopted tools for real-time data streaming. Since its inception at LinkedIn in 2011, Kafka has
Apache Kafka 101: The Backbone of Real-Time Data Streaming Read More »
In the landscape of AI and machine learning, Amazon Web Services (AWS) has introduced two major services—SageMaker and Bedrock—that cater to the needs of developers and businesses seeking to deploy machine learning (ML) models at scale. Although both services enable the integration of AI into various applications, their use cases and functionalities differ significantly, warranting
Navigating AWS SageMaker and Bedrock: Understanding Their Differences and Use Cases Read More »
Introduction The General Data Protection Regulation (GDPR), or Datenschutz-Grundverordnung (DSGVO) in German, mandates that organizations must be able to delete a user’s personal data upon request. Failure to comply with this requirement can result in severe fines, reaching up to 4% of a company’s global revenue or €20 million, whichever is higher. For companies using
GDPR Compliance with Apache Kafka: Handling Data Deletion Requests Effectively Read More »