McKinsey has just released a report which looks over how far machine-learning has come, and the impact that it’s going to make going into 2017 and beyond. The biggest certainty from the paper is that the significant influence that it has over business decisions and development is only set to increase.
You can read the report in its entirety here. If you don’t have the time to do that, we’ve distilled the report into three main takeaways that will affect key stakeholders in most digitally-focused industries. This is what the future of machine-learning looks like.
Understanding how to adapt your business to suit the needs of modern, digitally-driven consumers can be a confusing process. That’s why we developed Omnichannel Insights; it’s a consultative process that analyzes a company’s organizational structure, and its real-time web journeys, in order to determine how successful its business strategies are at supporting the digitalization of sales and service. After this analysis, we provide a roadmap for improvement. Read more about that solution here, or if you’re interested in talking about how your business can benefit from the use of predictive analytics then drop us a line.
In 2017, machine-learning technology is going to become even more powerful than it already is. Understanding how your business can benefit from its use will become a critical measure of digital success.