Understanding organisations’ data assets: Let us understand the basic questions such as how many databases exist within the organisation, which database contains what information, or how data is collected in the first place?
What is the urgency of this challenge, which is obstructing the efficient use of AI and Machine Learning?
Improving data management skills: What is the main challenge with the data science teams being small or growing data science expertise is not yet matched with equally mature AI and ML project expertise?
How does training data pose as broad challenges to project success?
Why is securing and labeling the amount of data needed to support algorithm development for AI strategy continues to be a “pain-point” for many organisations?
Most sectors are in tough economic conditions and operation executives are under pressure to increase productivity and efficiencies in all operational functional areas. Can this be achieved by leveraging on AI technology?
Check out the incredible speaker line-up to see who will be joining Pablo Olivera.