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AI – Risks and Mitigation Strategies

Here are some of the potential risks of adopting AI and ML, and some of the mitigation strategies for these; 1. Bias and Fairness Mitigation Strategies include regular audits and evaluating models for bias; using diverse and representative datasets; implementing techniques like adversarial training to reduce biases; encouraging transparency in model development 2. Lack of […]

DEMYSTIFYING AI, ML & DEEP LEARNING

Understanding the Power Behind the Buzzwords In recent years, Artificial Intelligence (AI) and Machine Learning (ML) have become buzzwords that dominate discussions about the future of technology. From chatbots and virtual assistants to self-driving cars and personalized recommendations, AI and ML are revolutionizing various industries. However, amid the hype and excitement, many people remain unsure […]

AI-POWERED RISK ASSESSMENT FOR BANKING AND FINANCE

Like other industries, Banking and Finance requires accurate risk assessment in order to make informed financial decisions. Traditional methods, while valuable, have their limitations in terms of speed, data comprehensiveness, and subjectivity. Fortunately, AI presents a powerful solution to overcome these challenges and revolutionize risk assessment in the financial industry. By leveraging AI’s capabilities, financial […]

HOW WILL THE ADOPTION OF AI IN AUSTRALIA IMPACT THE FUTURE OF JOBS

Contrary to any fears about AI, what we are currently witnessing globally, is a new golden age for creativity and production, with humans at the forefront. Whenever any new bleeding-edge or cutting-edge technology is introduced, the job market undergoes a transformation. Certain roles fade away, making room for new opportunities. We can all think of hundreds […]

THE POWER OF TINYML: IN THE PALM OF OUR HANDS

As the name suggests, TinyML involves implementing machine learning models on small, low-power devices, opening up a world of opportunities that fit in the palm of your hand. In this blog, we’ll explore the exciting opportunities created by TinyML and how it is revolutionizing industries across the board. 1. Edge Computing Redefined: Traditionally, machine learning models […]

AI Chatbots in Universities – The Next Step in Higher Education

Transforming Universities with AI Chatbots: The Future of Higher Education is Here In an era where digital transformation is no longer a choice but an absolute necessity, institutions across the world are continually leveraging technology to revolutionise their operations. In this post, we would like to specifically discuss how Australian universities can benefit from adopting […]

Integrating AI into your Business Strategy: Shifting from Exploration to Integration

Artificial Intelligence (AI) is reshaping businesses and propelling innovation to unprecedented heights. Yet, despite the fervour and substantial investments in AI, many companies find themselves in an exploratory phase, grappling with the challenge of translating AI potential into tangible outcomes. Often, the root of this challenge lies in their chosen approach—a ‘bottom-up’ strategy that centres on […]

AI Risk Management: Deepfakes

‘Deepfake’ technology is all about faking content, and is becoming more sophisticated and accessible to malicious actors. Generally, these are created using a deep learning model called GAN (generative adversarial network), which are trained on both the source data and the fake data (target set). These are combined to create a deepfake that cannot be […]

Demystifying Generative AI Series: What is Generative AI?

How Does Generative AI Really Work? In contrast to our ‘knowledge bases’ of the past, Generative AI algorithms are trained on huge datasets to produce new content rapidly. Content such as videos, images, text or music.It’s versatility across domains and industry’s is remarkable – it leverages neural network architectures such as GANs and VAEs to […]

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