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.