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.
For the second time, on May 23-24, 2019, Stockholm was host to nearly 200 Predictive Maintenance practitioners and key players, gathered for the Maintenance Analytics Summit, an annual event to share ideas, and discuss ways to harness the full potential of machine data and Advanced Analytics to improve and automate their condition monitoring and maintenance processes.
As digitalisation impacts every aspect of the business, you can bet that it is changing the relationship between the customer and the brand. Artificial intelligence and machine learning (ML) are revolutionising the way customers interact with brands.