We advise clients and potential clients that their competitors are already using it to trim costs and erode their market position. ML is something that you can make happen within your organization, or something that will happen to your organization.
Unfortunately, many organizations have trouble getting started because they can’t get past several longstanding misconceptions about ML.
In our webinar, we walk through many of those misconceptions and how you can overcome them in your organization. Then we talk about implementing an ML initiative that will have low project costs and great ROI.
In general, you can think about ML’s financial impact in terms of either expense reduction or revenue increase, or (ideally) both. ML applications can drive costs out of inefficient processes while helping you improve sales and create great customer experiences. The tactics for accomplishing these goals are virtually limitless.
However, ML comes down to some five simple, basic imperatives when it comes to controlling costs and increasing revenue for ROI. In this webinar, we describe how to:
• Identify your champions
• Find your opportunities
• Operationalize your model
• Focus on Business Processes
• Hyperautomate (combine ML with robotic process automation)
ML is not going anywhere, and it’s going to be very important for most companies. You need to start thinking about it just like you think about development teams for your applications and data.
So, how do you get started implementing machine learning into your organization? And once started, how do you achieve ROI?