With the explosion of data and the value it brings for companies, hiring a Chief Data Officer (CDO) has been on the agenda of the majority of companies. Companies are in a literal race trying to find Chief Data Officers. It’s only natural that executives are enthusiastic about welcoming a CDO in this big data era.
In the digital economy of today, everyone strives to be agile and instil a data-driven culture in the enterprise. But there’s still a challenge with the communication of insights between the analytics team and stakeholders. D
Companies operating in a hyper-growth mode need to scale fast enough to meet business goals, but at the same time establish a hiring process, correctly estimate their hiring needs and attract the best candidates.
Introduction of the GDPR has got companies working with large volumes of personal data treading on eggshells. More than a year after and some companies are still unsure whether they are up to par when it comes to upholding the formidable regulation. Even when using a modern platform for data management, can firms be confident that they are doing everything right with […]
Today, data is the universal language in the new digital economy. However, data literacy is the biggest hindrance to accelerating enterprise data and AI innovation.
In order to understand how a car manufacturer uses machine learning to teach cars how to drive, we looked at how the Swedish automaker Volvo Cars makes self-driving cars possible.
Despite the highly developed enterprise analytics ecosystem, businesses are still realising only a fraction of the full potential value from data and analytics, as McKinsey state in their report. And there is a prevalent reason for that – barriers.
Much has been said on the subject of building a good data science team, but it seems like companies are still struggling when it comes to putting together a data team.
NLP is one of the most popular forms of AI. In the business environment, NLP it’s the technology integrated into chatbots, virtual assistants, translation services, hiring tools, marketing tools, and much more. We’ll focus on some use cases that can improve customer experience.
Fashion retailers are increasingly turning to artificial intelligence (AI) for help in the quest to give customers what they want. Talking about AI in retail brings us to one of the most beloved brands in the fashion industry – H&M.
As with other state-of-the-art technological advancements, introducing data science in a company is challenging.