With the expansion of remote and hybrid workforce and an ever more complex technology set, it is more important than ever to manage the digital employee experience. But how do we measure digital employee experience? One of the most common ways is to use surveys – for example post-incident surveys or annual customer satisfaction surveys. But these surveys, on their own, can be reactive, time-delayed and limited in scope.
Housetable uses AI and Data Science to predict what customer’s homes will be worth after renovation, to support users in securing financing that takes into account the real value of their property. With its AI-powered renovation intelligence, customers can enjoy a 100% digital experience with quick application via mobile app, dynamic approvals, and integrated payments both from banks and directly to contractors.
Refereeing decisions at the World Cup have been debated decades later. From whether the ball crossed the line in the final in 1966, through Diego Maradona’s “Hand of God” two decades later, to some of the decisions made by the video assistant referee at Russia 2018, any perceived mistake by the referee will be scrutinized by fans years later. Referees need all the help they can get, and they could be about to be given a hand from artificial intelligence.
Going from prototype to production is perilous when it comes to artificial intelligence (AI) and machine learning (ML). However, many organizations struggle moving from a prototype on a single machine to a scalable, production-grade deployment. In fact, research has found that the vast majority—87%—of AI projects never make it into production. And for the few models that are ever deployed, it takes 90 days or more to get there.
Artificial intelligence will have a long-term impact on practically every industry. AI is already in our smartphones, automobiles, healthcare system, and favorite apps, and it will continue to infiltrate many more industries in the near future. If you want to start a career in Artificial Intelligence, IPSpecialist is the perfect place to start.
In recent years, Artificial Intelligence (AI) development has increased rapidly. Technology has steadily been integrated into the economic and industrial worlds and everyday life in South Africa and worldwide to make our daily activities more convenient and straightforward. Chatbots are becoming increasingly popular for agents to provide better customer care. At the same time, AI in marketing may help determine the optimal moment to engage with a customer via email or social media.
What tasks can machines do for us? That’s what business leaders were pondering back when automation and AI were still new, cutting-edge technologies. Now the question has changed. What tasks can’t they do? We used to think of automation as a useful method to avoid doing the repetitive, menial tasks that require so little of our brain power and take up so much of our days.
At the beginning of the COVID-19 pandemic, we anticipated a slow-down in IT-related spending. In reality, the opposite occurred. Companies massively expanded their digital offerings using the same IT staff they’d had pre-pandemic, even as the teams lost access to many of their existing tools while working from home. This acceleration put immense pressure on IT teams everywhere, resulting in messy incident management, outages, and a huge shortage of talent.
