Artificial Intelligence solutions are usually associated with optimizing workload, replacing people at work, or with robots that will soon conquer the world. Thirty-seven percent of respondents of a study by Pew Research Center indicated that by 2030 most individuals will be worse off because of AI advancements. 

The insurance industry has embraced Artificial Intelligence solutions. Both traditional players and insurtech disruptors leverage their strategies on big data analysis and machine learning models for customer service automation, claim processing, underwriting, or fraud prediction.

With the rapid spread of COVID-19, healthcare in many countries has been stretched to its limit. A number of medics have already been infected with SARS-CoV-2, and countless more continue to risk that they contract and spread the disease on a daily basis when providing care. Minimizing contact between patients and frontline staff is critical, but it’s also a significant challenge for healthcare providers to achieve.

AI-driven UX design is one of the hottest trends for 2019. That said, product designers are not among the jobs and specializations expected to be replaced by robots soon. After all, coming up with the right product idea and executing it is a complex process that combines creativity and advanced analytics.

AI and machine learning have moved from the fringes to the very centre of the technology debate. But which industry has the huge datasets, along with the capital and staffing resources, to make the most of AI? As recently reported by both PwC and Gartner, it is the financial sector.

Chatbots are all the rage right now, and they're not going anywhere. Consumers expect to interact with brands with the help of many different channels, and chat is one of them. But chat-based communication presents companies with a brand new challenge: speed.

The life of a sales rep? Lead generation, profiling and scoring - sales representatives spend the majority of their time on repetitive and time-consuming tasks. Time, in a way, wasted. Instead, they should be focusing on building genuine relationships with prospects and cutting deals.

AI and the big data revolution have already made a huge impact in sectors such as retail, healthcare, education, and autonomous driving. Now, manufacturing is experiencing rapid transformation thanks to a combination of AI and advanced technologies like the Internet of Things.

Python has enjoyed a steady rise to fame over recent years and is now jostling for the position of one of the most popular programming languages in the world. Favoured for applications ranging from web development to scripting and process automation, Python is quickly becoming the top choice among developers for artificial intelligence (AI), machine learning, and deep learning projects.

The new surge in Artificial Intelligence development has a strong impact on the InfoSec sector. However, there is much more nuance to it than you may think. Machine learning algorithms are not ready to take over on both sides of the fence. They are just a powerful tool that both security specialists and their adversaries use in their arms race.