Data science is beneficial if the output can be quick and simple to use.
This webinar will show how machine-learning and artificial intelligence models can be easily deployed into batch, real time and in-stream applications at a click of a button
To allow organizations to seize opportunities and spot red flags amongst the fast-moving data that flows through, it is highly critical to analyze the high-velocity big data while it is still in motion – before it is stored – so you can take immediate action on what is relevant, and ignore what isn't.
Are you in the need to take off with an AI project at the soonest? Due to competitive pressures or for testing out different AI scenarios for customer experiences or different AI functions, then deploying the solution via Cloud technologies is probably for you.
In this Webinar, we will discuss the opportunities that you can unlock when deploying AI technology in the Cloud and touch on some of the practical consideration when starting out on your AI journey in the Cloud.
AI is understood to be the best way to secure the future of their organizations, but there is significant public concern about its possible adverse impact. Some are concerned about the concentration of power in the hands of huge tech companies, while some see automation as a threat to their employment.
In this webinar, we will consider how transparency can be brought to AI through data management and data governance. Topics such as good data management is essential for successful AI, including matters of security, regulatory compliance and deployment will be covered in this webinar.
In this webinar, you can learn about why and how businesses need to upgrade their data infrastructure for predictive analytics, machine learning, and AI. Challenges to Machine Learning and AI. How can you master the data challenges associated with machine learning and artificial intelligence?