Smart systems are finally delivering on their promise: computers and software that learn, anticipate and predict. Seamlessly evolving to become the new, essential core capacities of every visionary business. This is the future, and it is already happening in:
Machine learning is a game changer, yet it's hard to grasp all the new opportunities that come from seeing deeper into data. The good news is machine learning is already in use around the world. Examples like these could revolutionise your business:
You can now use all your CRM data points to get actionable insights into which current customers will stay with you for the next quarter, the next year or for life.
When you understand your existing customer base, you can forecast where new customers will come from. You'll be able to remove the operational risks in launching campaigns to reach, engage and keep new segments.
Early detection prevents bigger problems. For example, credit distress has many subtle signs that can be missed until it's too late. Machine learning can accurately rank credit risks from predictions based on key customer-behaviour data. It's a powerful tool to judge if a customer will default on an outstanding account.
These more accurate evaluations mean lower business risks for issuers of credit and more credit options available to customers who are more accurately understood.
If you're charging too much, you're losing sales. If you're charging too little, you're losing profit on each sale. Machine learning can find you that perfect balance – customer-by-customer and in real time.
Say an insurer needs dynamic conversion rate modelling to determine which quoted price will lead to purchase – yet every customer is different. Using an anonymised database of previous customer information and sales response, a machine learning model can return the best price for each individual customer's circumstances.
Machine learning can build a model to predict monthly online sales of a product with a hypothetical set of features. For example, imagine a set of modular online self-help programs.
Being modular means when you understand a customer's needs, you can predictively tailor a set of modules to match those insights and lead them to repeat purchase.
Every human is unique, meaning diagnosis is part art and part science – 'textbook cases' are less common than most think. Machine learning can examine diagnostics and medical history at a deeper level to give doctors a powerful new tool making the most important decisions in their patient's lives.
Machine learning can mean earlier diagnosis of, for example, diabetes and Alzheimer's disease and could even predict the statistically based guidelines of each year's global diagnosis codes.
Machine learning technology has vast potential. It can be used to resolve your current issues, or it can open new opportunities.
Hunted Hive can build your solutions or we can lead blue-sky brainstorming sessions to uncover new ideas.Tap the potential of machine learning today.
You'll be surprised to find out how machine learning can benefit you.Chat Now Get Started
Once we know your specific challenge, we'll develop a project strategy that strives for efficiency and effectiveness. We'll evaluate off-the-shelf tools that could be useful - saving you money. We'll give you a detailed timeline - you'll know what to expect. We'll build a technology roadmap that charts the milestones to your machine learning solution - you'll be able to see clear progress.
Ready to take your business to the next level with machine learning?Chat Now Get Started