The proliferation of artificial intelligence (AI) in businesses today is understandable. Deployed correctly, AI has the ability to improve efficiency and profits, lower costs and evolve entire business models. People fear that AI will make humans redundant. However, attempting to replace all human employees with AI, even in a knowledge-based business, is a foolhardy pursuit at best. The key is to have the technology to complement the people.
The pace at which AI is developing can be daunting. From natural language processing that can help chatbots understand the nuances of languages, to machine learning that feeds predictive analysis algorithms to become better and more accurate. We are increasingly seeing a march towards machines that think and act like humans.
However, the reality is we are a long way from the point where AI will autonomously run a modern enterprise or government institution. Instead, what we need to look at is how AI is used to support people to run businesses or departments more effectively than they could before.
Targeted machine learning and AI driven applications are able to improve performance within specific parts of a business. As an example, banks that use AI to detect fraud are able to spot spending pattern anomalies by single customers in real-time. However, once the anomaly is detected, usually it’s a human that calls the customer to assess if anything is afoot. It’s a great example of AI and people in partnership.
Each AI application tends to be targeted on a very specific or granular outcome. Generally AI is not a viable reality at the current time. When thinking about where and how to incorporate AI into a business or process, attention needs to be paid to what it will do well and where it can make a difference.
The ability of the AI is unmatched where facts and data crunching is required. While the employee, on the other hand, is able to focus on what they can do best, such as solve difficult situations that require more finesse and tact or be creative in increasing cash flow to the enterprise.
The path between the two resources needs to be clearly defined within organisations so that both can be placed in positions that allow for maximum benefit. With the technology available today, it would be pointless to have people monitoring machines in a factory to predict when parts may fail – we can use ML powered monitoring applications to do that. Humans will then be called in to conduct the necessary maintenance work for any machinery that is flagged out by the ML application as a risk to potential failure.
DataRobot has developed the concept of autonomous machine learning, creating algorithms that adapt to the use case without the need for complex programming. Their solution can be used to focus on tasks for which ML is strong, allowing members of staff to reap the benefits and focus on areas where they can be even more productive. DataRobot has partnered with DELL EMC to test solutions that support thousands of pre-programmed algorithms that can be applied by employees without deep data science skills, allowing them to deploy a trained model in a matter of days, instead of months. Your existing staff who have deep domain knowledge of your business can combine this knowledge with DataRobot to use machine learning to enhance their own capabilities.
To know more about how DataRobot and DELL can assist you, please click this link.