Despite ongoing conversations about gender diversity, women in tech still face underrepresentation, unequal pay, and discrimination and often find themselves outnumbered. Although strides have been made to foster diversity, yet the space for women to lead remains limited. However, companies prioritizing equity and inclusion, are making progress in promoting and retaining women in tech careers.

Customer Intelligence is the art of collecting and deciphering vast amounts of customer data, sourced from both internal and external channels. It is a strategic cornerstone for businesses aiming to, not just survive, but thrive in a fiercely competitive environment.

Algorithms utilize personal data that is collected pertaining to the situation, experience, or scenario they simulate. Data collection is crucial for machine learning and can introduce "bias" that could lead to "technological discrimination”. Nevertheless, algorithms cannot be held "guilty" as they are neither physical nor legal entities. The responsibility lies with individuals who make decisions regarding their use, implementation, and the resulting outcome.

Numerous theories center on the notion of AI eventually gaining control over human civilization. This idea may appear plausible, particularly when considering the common science fiction motif of endowing immense power to AI and robots. However, examining the factual capabilities of this technology and its current applications, it becomes evident that such a scenario is not feasible. Overall, it is important to separate fact from fiction and to understand the limitations and capabilities of this ...

In recent years, the use of recommendation systems has become ubiquitous in various fields, and it is changing the way people make decisions. This phenomenon is especially evident in consumer-facing industries, where recommendation engines are becoming increasingly essential for companies to keep up with rising client expectations, handle information overload, and reduce costs.

While people tend to associate AI with robots and science fiction, it is already integrated into our daily lives. Recommender systems, which more than half of online consumers rely on for product recommendations, are essential for online commerce and serve as a prime example of AI in action. AI has been present for 50+ years and has various applications, with recommender systems as a crucial one.

An AI Recommender System suggests products or services based on user data, which includes their preferences, past purchases, demographic information, and the behavior of similar users. It brings a convenient way for e-commerce companies, retail stores and even banks to offer personalized solutions to their customers. The type of AI recommendations offered depends on the data available, the ability to scale, and the transparency of the recommendations.