Strategizing for Big Data and AI in Your Business
It’s no secret that Big Data and artificial intelligence are taking over a lot of industries, whether it is corporate banking, retail or travel and hospitality. It’s a topic that either terrifies companies who feel unprepared for this innovation or excited by its incredible possibilities.
Yet, with every opportunity comes certain risks. With Big Data, there are numerous aspects to consider, and companies looking to implement Big Data need to be aware of possible challenges. Here, we’ll discuss them in detail.
Big Data and the AI it enables will not only change the way business is conducted, but also the entire organizational structure as we know it. Here are some of the most important aspects companies need to keep in mind.
At the moment, few politicians have any strong opinions on how AI and Big Data will change businesses, or came up with any policies regulating this area, so it is unlikely they will suggest solutions to arising challenges any time soon. Instead, many of the best-known futuristic theories come from individuals such as Mark Zuckerberg and Elon Musk – though both have different opinions on the topic.
One of the biggest challenges now is the threat of replacing human workforce with automation. Some experts, such as Jeremy Auger, Chief Strategy Officer at D2L, have raised the possibility of retraining affected individuals in IT, but then another question pops up – whose responsibility is this retraining? Anyway, companies should consider how they may need to lay off workers in the most respectable way. There may be no other choice once full-scale AI-supported automation is here. Or better yet, they could retrain them to do their jobs more effectively with AI. However, the latter option would still require a lot of retraining.
Big Data and AI are the future, and if companies do not invest in it now, they will find themselves in a very awkward position.
Happily, you don’t need to fully understand AI to reap its rewards. To make their transition easier into an AI-based technology, a number of industry-leading AI developers have released AI toolkits that can be applied for a variety of purposes. This helps to bridge the gap in specialized knowledge that can be a big problem for some businesses. While some of their more technical employees may have a basic understanding of how AI works, they are less likely to be able to create applications on their own.
