Are you Planning / Executing your AI and Data Science projects the right way?

AI projects have different lifecycles than other IT projects. From problem definition through execution, projects need the right ingredients & infrastructure elasticity to avail the needed levels of agility and responsiveness in order to be able to reach accurate results.

Throughout this journey, there can be several challenges ranging from choosing data sources and data types, applying data Integration & data quality tools, then creating machine-learning models, and optimizing their output to reach acceptable levels of accuracy in addition to moving these models to Production.

The key to success is to strategize the transformation of Cloud infrastructure along with open source, to one that is intelligent, agile, and integral to modern enterprises.

Join this webinar to discover how you can accelerate your data science journey.

Key topics include:

• How to innovate using Data Science and AI technologies to build successful solutions
• How to strategize your AI solution to achieve the highest business value
• How Oracle Cloud infrastructure & Data Science platform helps organizations start with minimum investment & scale safely to transform enterprises move to the next gen predictive solutions with minimum failures.