Today, AWS dedicated 2x full 2hr keynotes solely to AI and ML technologies.
Nearly all of your PortCos will be investing 6/7 figures in Machine Learning and Artificial Intelligence.
You’ve probably even recruited a new head of AI/ML/Data Science to your PE firm to bolster your in-house capabilities.
There is considerable unrealised value in predicting future outcomes. For your PE firm, your portfolio companies and their customers. Today, the key to getting access to this value is data.
Do you sometimes feel that there is never enough data to make decisions when you want it?
How often do you ask your PortCos tech leaders simple questions like:
At what point do our customers churn and why?
What are the scaling limits of our platform?
How much does it cost us to serve each user/transaction?
The answer you’ll often get…. We need more data.
To help you bridge this data gap, AWS have launched AIDA.
AI for Data Analytics (AIDA) ‘can help predict customer churn, create playbooks for next best actions and next best offers, predict the lifetime value of prospects and existing customers to adjust the costs of acquisition and retention, and lower operational costs with supply pre-positioning and workforce scheduling, among other capabilities.’
https://aws.amazon.com/blogs/apn/ai-for-data-analytics-aida-partner-solutions-will-empower-business-experts-with-predictive-analytics/
You probably already have more data that you will ever need.
Most are regularly missing the insight to do something meaningful with this data.
What if you could react to technology-related churn before it happened.
What if you could proactively measure, assess and reduce your cloud cost profile in line with customer demand?
What if you knew that increased investment in product A would create increased demand for product B?
This is something that AIDA could help you do.
How would you benchmark your firm’s AI/ML capabilities?
AI/ML should be delivering insight to help you make decisions in your PortCos.
Similarly, AI/ML should be driving decisions that affect how your PortCos interact with their customers.
Let’s assume that AI/ML or even data science is on your PE firm’s agenda. What do you see as the biggest area for improvement?
Until next time.
Thomas
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