Robots vs. Humans: How Machine Learning is Impacting the Financial Services Industry
Disruptive Technologies: How will machine learning alter society?
Disruptive Technologies: How will machine learning alter society?
Players in the automotive industry are getting prepared for major disruptions to come in the next 10 to 15 years. Urban mobility (car/ride/bike sharing) and autonomous vehicles1 are disruptive trends that heavily rely on machine learning. A concern for traditional […]
The growth of private labels in the US and the rise of uncountable food start-ups are threating the status quo of the food industry. Traditional companies are under pressure to cut costs and to innovate faster. Kraft Heinz is relying on Artificial Intelligence to solve this puzzle by using the technology to improve processes and product development.
How can news organizations, at a time that they might die at the heels of free media, use machine learning to drive product development and productivity?
Recursion Pharmaceuticals is deploying machine learning to deeply understand the interactions between genes, proteins, and chemicals to inform not only future drug discovery and drug repurposing, but biological life as we know it.
Advances in machine learning (ML) are tilting the playing field in consumer retail. On the one hand, tech-savvy pioneers like Amazon and Glossier are leveraging ML to captivate Millennials and Gen Z consumers with ever more engaging and personalized online shopping experiences. On the other, traditional retail brands, especially luxury labels, hesitate to embrace ecommerce for fear of losing their exclusive, white-glove service experiences delivered through the brick-and-mortar channel. Using Burberry as a case study, this article discusses why luxury retail brands must develop a robust ecommerce strategy to stay relevant, and how leveraging ML can help them win over online shoppers without diluting brand equity.
Salesforce is changing the game of sales again with its predictive intelligence system “Einstein” that helps to boost the efficiency and efficacy of sales representatives. Learn how the company is innovating on this front and applying machine learning solutions to a business problem that is innately human and relationship-driven.
As global commerce pushes for a more efficient and effective supply chain, Rolls-Royce is promising to disrupt the main transport mode for long-distance trade: maritime shipping. The implications of Machine Learning developments to deploy autonomous unmanned ocean-going ships by 2035.
Autonomous driving is a form of applied machine learning that allows computers inside the car to process and recognize driving conditions in real-time. This paper explores how Tesla is bringing autonomous driving to the masses via its substantial machine learning network.
What Machine Learning Means to Automation Anywhere… Moving from Robotic to Intelligent Process Automation