AI/ML Enterprise Solutions

FountainBlue's September 8 VIP Roundtable was on the topic of 'AI/ML Enterprise Solutions'. Our executives in attendance represented a wide range of backgrounds and experiences but agreed on the following:

• The concept of AI has been around for decades, but the recent development around ChatGPT has made it go mainstream with rapid mass adoption across roles, functions and industries.

• AI does not only benefit customers, but it also supports internal teams and functions, helping everyone become more productive and efficient.

We asked questions which can be couched as opportunities for AI/ML Enterprise Solutions:

• How can we more efficiently filter information gathered on the edge, using low-power tools?

• How can we better collaborate to enable AI at scale?

• How can we better leverage natural language processing, machine learning, predictive analytics, computer visioning, etc., to solve real and anticipated problems?

• How can we more quickly process increasingly larger and more complex structured and unstructured data sets?

• What are the tools which will help everyone develop robust enterprise AI solutions?

• How can we ensure the volumes of data we have can be trusted/is validated/is relevant?

• How can we leverage AI/ML to educate/train/secure the AI-enabled the workforce - not just developers?

Below are thoughts to consider as we develop AI/ML Enterprise solutions:

• How can we maintain the safety and privacy of individuals and companies and customers?

• How can we better architect solutions leveraging AI throughout a product design, development, delivery and integration process?

• How can we support individual departments while also better coordinating and communicating between departments?

• How will clustering help support the processing of data?

• How can we better predict outcomes, manage costs, plan maintenance?

In closing, there was agreement that AI and ML Enterprise solutions will only get bigger and more prominent, with endless use cases. The challenge then becomes discerning the hype, from the practical and useful enterprise solutions which leverage real-time, relevant data to make us more productive and efficient.