The rise of Big Data I want to take you back to 2012 . In those early years, our focus was big data, and everyone else was looking at the cloud. We were pioneering, but in a world that was still beginning to understand the value of data.
Transform Enterprise Operations with Google’s Latest AI Stack: Smarter Agents, Multimodal Interfaces, Real Business Impact The annual Google Cloud Next event took place in Las Vegas in April, where Google presented its latest innovations for Google Cloud Platform (GCP).
The hidden dangers of AI: key risks every business should know
An Introduction to AI Governance Since the launch of ChatGPT, AI tools have become much more widely used in many organisations. This technology opens up many new opportunities, such as automating customer service or improving content creation. However, it also introduces significant risks. Headlines in press articles frequently mention concerns such as deep fakes , ethical dilemmas around AI replacing artists , legal disputes over copyright between LLM providers and media companies , and privacy issues .
In this article, we explore how to navigate the requirements for developing high-risk AI systems within the regulation of the European AI Act, ensuring compliance and fostering ethical AI innovation.
An introduction to the the EU Data Governance Act (DGA) As of 24 september 2023, the Data Governance Act (“the DGA”) became applicable. In short, the DGA aims to make more data available and to encourage the voluntary sharing of data. The legislation frames within the EU’s digital strategy to leverage the full potential of data.
Is AI only applicable within factories and large corporate organizations? Anything but. AI will (and already is) creating impact within the Human Resources branch as well. We speak with Julie Plusquin, Talent Partner at ML6 about what the evolution within HR may look like.
It has been more than two years since the first draft of the EU AI Act has been published. Since then, we have seen technology move forward at an ever increasing speed, with innovations such as generative AI and foundation models gaining public attention and being applied in real-world AI solutions. Regulators have also been moving forward, and there have been significant evolutions of the proposed regulation. In light of the joint committee vote in the EU parliament last Thursday (11. May 23), a short synthesis of some of the, in our opinion, most interesting amendments in last week’s proposal:
Introduction ChatGPT and other LLMs have taken the world by storm. As a result, compliance and information security teams have been overwhelmed by this new technology as well. Usage of ChatGPT has a big impact on privacy regulations, such as GDPR, compliance and information security in general. Something which is often neglected in businesses with all the dire consequences. Recent (mis)use of these tools caused data breaches in multiple corporations, like Samsung, where crucial trade secrets were leaked to OpenAI’s ChatGPT.
In today's fast-paced world, staying up-to-date with the latest advancements and trends in your field is crucial. As a result, knowledge management systems have become increasingly popular, providing organizations with a centralized location to store and access their knowledge. However, not all knowledge management systems are created equal. In this blog post, we'll explore how leveraging language models, such as the recently released LLM, can enhance the effectiveness of your domain-specific knowledge base. We'll cover the basics of language models and how they can be trained on your organization's data to improve search accuracy, automate tagging, and even generate new content. Let's dive in!