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In the rapidly evolving landscape of artificial intelligence, few innovations have made as profound an impact as Transformers. Originally introduced in a seminal paper by Vaswani et al. in 2017, these neural network architectures have revolutionised Natural Language Processing (NLP) and transcended their initial purpose of machine translation. Today, they are at the forefront of AI research and application, changing the way we interact with language and data.

In today’s rapidly evolving business landscape, the buzz around artificial intelligence (AI) is palpable. Companies across industries are eager to harness the power of AI to drive efficiency, innovation, and competitive advantage. However, the rush to adopt AI tools without a deep understanding of data and experience in integrating predictive solutions can lead to unforeseen legal and practical challenges.

I have a big interest in AI and all its new and old capabilities. In continuation of exploring the ethics of big data and machine learning, I looked at the recent discoveries in Deepfake videos and audios. Needless to say, we only see this used in movies and not so much in our real lives. However, this does not mean it is not used in real life. In fact, this has been used in manipulation of news. So, in this blog I talk about ethical thoughts and considerations of using this technology.

In the rapidly evolving landscape of artificial intelligence, few innovations have made as profound an impact as Transformers.

Originally introduced in a seminal paper by Vaswani et al. in 2017, these neural network architectures have revolutionised Natural Language Processing (NLP) and transcended their initial purpose of machine translation. Today, they are at the forefront of AI research and application, changing the way we interact with language and data.

In today’s rapidly evolving business landscape, organisations are continually seeking innovative approaches to enhance decision-making and gain a competitive edge. One powerful tool that has emerged as a game-changer is predictive analytics. By leveraging historical data, advanced algorithms, and machine learning techniques, predictive analytics empowers businesses to uncover patterns, make accurate predictions, and optimise decision-making processes. In this rewritten article, we will delve into the profound transformation that predictive analytics brings and explore how it revolutionises the way organisations operate.

The 4th Industrial Revolution refers to the current era of technological advancement, characterized by the integration of digital, physical, and biological systems. Currently this is marked by artificial intelligence (AI) interfaces, robotics, blockchain, Internet of Things (IoT) and big data. The new age 4th Industrial revolution includes things such as grocery shopping recommendation engines, voice-activated road map assistances, image recognition engines as well as visually impaired navigation systems. Web3s, ChatGPT (or other chatbots) and many other things are the future of 4IR. 

OLSPS has been involved in data science for 30 years and has witnessed the evolution of predictive technology, where terms like “machine learning”and “artificial intelligence”, once the domain of academic journals and science fiction, are now prevalent in every sector.

During this period, OLSPS has been fortunate enough to have broken new ground on some fascinating analytics solutions in a variety of industries. OLSPS’ data scientists have learned crucial lessons about what it means to convert high-level academic know-how into practical and effective business solutions.