Establishing or building single machine-learning model is rather easy and inexpensive. However, data scientists in Middle East and Africa especially have to deal with vast amount of data, and have to consider many machine-learning algorithms in their bid to build their best model.
Data scientists are under pressure to speedup up their model building capability due to the organization, which demands, for more and more models to deliver accurate predictions.
This webinar will focus on how you can make your business AI Smart. How can you build and implement multiple machine learning models in your existing infrastructure?
In this webinar you will learn about:
The building blocks that enable AI, including machine learning and natural language processing.
Insights obtained from deep learning and natural language understanding.
Techniques that enable a computer to understand interact and communicate with humans.
Be it a PoC, a pilot project, a pilot programme or a pilot initiative, the title is irrelevant as much as the purpose, which is to get your organization started with AI. A Proof of Concept aims to explore and validate how well a particular business problem can be solved by AI.
POC can be divided in 3 stages of the AI based project:
A Proof of Concept is a best practice to guarantee high ROI on an AI project, and to ensure that the companies’ expectations are being met with the results. For instance, an organization can deploy your AI model into production. This means that you will integrate a machine-learning model into an existing production environment so it can run on a continuous or regular basis. It is one of the last stages in the machine-learning life cycle.
This session will deep dive into the case study on how PoC has been successful for an organization and how important it is deploy Proof of Concept?
There are numerous definitions as to what constitutes a system to be artificially intelligent. For organizations wishing to implement AI what tangible use cases should you focus on to deliver business value? This webinar provide real world examples of AI in action, dispelling the myths and focusing on the value it can drive.
· Real world AI applications generating business value
· Cross sector practical applications of AI
· Example of an end-to-end automated AI decision capability