Global Market Size, Forecast, and Trend Highlights Over 2024-2036 The market size of Autonomous AI & Autonomous Agents is expected to grow at a 36% CAGR between 2024 and 2036. The industry size in 2023 was $40 Billion. The market size is expected to reach $508 Billion by 2036. One of the main factors driving the growth of the market is the increasing use of AI in various industries. In 2024, a report showed that 22% of the enterprises are actively incorporating AI into their business processes across a wide range of tech products and processes. AI is increasingly being used in various indu ..read more

In the world of marketing, the hype around generative AI is at an all-time high. According to a recent BCG Group survey, global Chief Marketing Officers (CMOs) are bullish on AI’s potential to boost productivity and deliver competitive edge. Seventy percent are already implementing AI powered marketing, 19 percent are testing it, and the top areas they’re looking at are hyper-personalisation (67 percent), content (49 percent) and sadly still -as they haven’t move with the times market segmentation (41 percent) . But for most consumer brands, there’s a huge disconnect between what they’re hopin ..read more

Machine learning models are prone to overfitting and underfitting when training. Regularisation is used to correct the model so that it correctly fits the test set. Regularisation helps to reduce the risk of overfitting and ensures that the model performs well. What Is Regularisation in Machine Learning? Regularisation is a technique used in machine learning to prevent a model from being overfitted. Overfitting occurs when the model not only recognises the natural pattern in the training data, but also includes the noise, which can lead to poor performance on new, unseen data. The use of regul ..read more

The rise of online shopping has brought about a new issue for retailers: an increase in online return fraud and return policy abuse, according to a recent consumer study by return management platform Loop. The report’s alarming detail reveals that approximately 38% of UK shoppers admit to having engaged in return policy abuse or fraudulent behaviour in the past year. Loop’s study, which surveyed online shoppers, showed that of the 38% admitting to fraudulent behaviour, 43% said they had made purchases using another individual’s credit card and then attempted to process the refund onto their ow ..read more

Hyper-personalisation is the new normal in the ever-evolving world of luxury brands. Today’s consumers want experiences that are tailored to their individual tastes and wants. As a result, luxury brands, which stand for exclusivity, have adapted to this new reality by creating more personalised relationships with their consumers. What is hyper-personalisation? Hyper-personalisation takes retail to the next level. With the help of data analysis using AI machine learning, luxury brands are able to better understand consumer behaviour and lifestyle. This allows them to create personalised experie ..read more

Hyper-personalisation is shaking up different industries by driving innovation and meeting the needs of consumers who are increasingly looking for product selections, customised and relevant to their needs. In the food and nutrition sector, consumers’ perception of food as a medicine has increased the demand for a wide range of hyper-personalised products, and manufacturers’ ability to respond to this and offer added-value features has resulted in growth opportunities. The range of ever more unique and customer relevant holistic nutrition options available today ranges from value-added product ..read more

Imagine a world where AI and machine learning work together seamlessly to plan and deliver effective marketing campaigns while eliminating human involvement altogether. No more marketing analysts, no more copywriters, no more content creators. Instead, you’ll have an advanced technology that appears to have a brain of its own. It’ll continuously learn and adapt to changing consumer behaviour and optimise your campaigns right in front of you. Sounds futuristic, right? Well, it isn’t. The age of autonomous marketing where marketing AI seamlessly integrates with machine learning is here and it’s ..read more

The average CMO may no longer be familiar to Maslow’s theories since leaving University, but having expanded earlier in our blog about his Hierarchy of Needs theory, we felt it appropriate to offer his equally respected Self-Determination Theory (SDT) to provide a fully-rounded approach to our knowledge base. Self-determination theory is a macro-principles approach to human motivation and personality. It focuses on the relationship between people’s innate growth tendencies and their innate psychological needs. Self-determination refers to the motivation behind a person’s decisions in the abse ..read more

On the surface, purchasing decisions appear to be simple. We purchase what we need and want, based on price, quality and availability. But underneath the surface, there’s a complex psychological dance going on. Our moods, personalities, cultures, cognitive biases and social cues all shape purchasing decisions in fascinating and sometimes irrational ways. Understanding some key terms in consumer psychology can help marketers and buyers make informed decisions. The Emotional Drivers of Buying Behaviour Buying decisions are driven by emotions. People want to buy things to fulfill their needs. The ..read more

Deep learning is all the rage today, as major breakthroughs in the field of artificial neural networks in the past few years have driven companies across industries to implement deep learning solutions as part of their AI strategy. From hyper-personalised product selections to image and copy creation and object recognition in retail, and much more, deep learning has unlocked a myriad of sophisticated new AI applications. But is it always the right way to go? The outstanding performance of deep learning algorithms with complex tasks requiring huge amounts of data, combined with the increas ..read more