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Must-watch trends to stay ahead of competitors and keep audiences tuned in -
How big is Big Data? The World Economic Forum says we’re approaching 44 zettabytes - and that number will only continue to grow. -
Why companies must consider Fairness, Ethics, Accountability & Transparency when implementing AI programmes? -
Artificial intelligence, machine learning, predictive and prescriptive analytics, natural language processing and robotic process automation—whatever your industry, you’ve likely heard these words with increasing frequency over the last year. -
The application of Artificial Intelligence (AI) in the enterprise is set to define the 2020s. Adoption is accelerating but, as with any transformative technology, instant success is by no means guaranteed. -
Intelligent Automation combines the automation of repetitive tasks through Robotic Process Automation (RPA) with the learning, analysis and decision making capabilities of Machine Learning and Artificial Intelligence, enabling automation of a much wider range of tasks. Intelligent Automation has the potential to transform the way companies carry out a number of key tasks -
Predictive analytics models are only as good as the data that goes into them. When your data sample is too small, your models may be influenced too heavily by anomalies, which can skew results. -
Multiple use cases highlight the potential big data can have for banks worldwide. -
Unsurprisingly, the disruption of 2020 has influenced the trends expected for 2021. What do you need to consider in the coming year? -
How can businesses separate fact from fiction quickly enough to execute agile strategies to grow and protect their organizations? Start with these fact-checking tips.
