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AI and Cybersecurity: What are the benefits? What are the risks?
The AI cybersecurity market is anticipated to swell from 1 billion dollars to 34.8 billion dollars by 2025. With hackers becoming more sophisticated, the exponential growth of data, and the ever-expanding attack surfaces, computer security professionals must leverage every available tool to safeguard data. Artificial Intelligence stands as one of these pivotal tools. Yet, this technology, while immensely beneficial in warding off cyber threats, is not without its risks.
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SQL3: The new generation of query language
SQL3, also known as SQL:1999, marks a significant milestone in the evolution of SQL (Structured Query Language). Published in December 1999 by the ISO (International Organization for Standardization) and the IEC (International Electrotechnical Commission), SQL3 introduced numerous features and extensions to meet the growing needs of database applications.
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Prompt Engineering: What is it about?
Artificial intelligence is a fundamental part of our daily lives and its influence continues to grow. The global AI market is projected to expand by 37% annually until 2030. Therefore, it is crucial to harness this technology effectively through fields such as Prompt Engineering.
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Security Audit: What is it? How to Make One?
Protecting data and computer systems has become a top priority for businesses. Conducting a security audit is a fundamental step in assessing and enhancing the security of an IT infrastructure. Discover why and how to implement this essential practice.
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CISSP Certification: What is it? How to obtain it?
Globally recognized, the CISSP certification confirms the expertise of information security professionals. Encompassing all cybersecurity facets through its Common Body of Knowledge, this certification isn’t just about mastering theoretical concepts—it’s primarily about their practical application within a business context. So, what exactly is the CISSP? What does its program entail? And what prerequisites must be met? Find out below.
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What is a User Story and How to write it?
Discover what a User Story is, how to write it effectively with practical examples, and what mistakes to avoid to optimize your Agile projects.
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Anthropic: Redefining Artificial Intelligence with Ethics at its Core
Founded by former OpenAI executives and strongly backed by Amazon, Anthropic has developed an AI named Claude. It seeks to set itself apart from ChatGPT or Gemini in unexpected areas.
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Fuzzing: What is it? How to use it?
“Better safe than sorry”… This is the core philosophy behind fuzzing, a method that involves testing software or systems from as many diverse and unforeseeable perspectives as possible, aiming to identify potential vulnerabilities before they can be exploited maliciously.
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Digital Transformation: What is it? Why is it important?
From simple digitization to the reinvention of businesses, discover how digital transformation is revolutionizing organizations and creating new opportunities for growth. This phenomenon impacts all sectors and is redefining the ways of working, innovating, and collaborating.
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ONNX: Towards standardized interoperability of artificial intelligence
As AI projects grow increasingly intricate, the necessity to transfer and execute models across varied environments has become crucial. The current landscape is filled with a multitude of development frameworks, each with its own characteristics and proprietary formats. Within this setting, ONNX (Open Neural Network Exchange) emerges as a standardized and open-source solution to ensure interoperability between these different environments.
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Mixture of Experts (MoE): The approach that could shape the future of AI
Artificial intelligence is advancing rapidly, with large-scale models like ChatGPT and Gemini demanding robust infrastructures to handle billions of parameters. In response to these growing computational demands, an innovative concept is emerging: the Mixture of Experts (MoE). This model distributes tasks among several specialized experts, thereby optimizing computational power and enhancing performance. In this article, we delve into the workings of MoE, its advantages, real-world applications, and the challenges it faces.
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Lead Data Scientist: What you need to know about the job
If you’re looking for information about the job of Lead Data Scientist, this article will be of great help. Indeed, it outlines the main duties, tasks, and responsibilities that make up the core day-to-day activities of most Lead Data Scientists.
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