In this seminar we will cover the important considerations that go into business testing, including specific examples and issues facing different industries including retail, social networks, ride-sharing, and financial services.
Machine Learning (ML) has revolutionized how we’ve solved business problems over the last decade. The ability to collect and store limitless data, coupled with advancements in computing and networking, has led to the use of Machine Learning in many business verticals.
How can Fourth Industrial Revolution technologies (AI, Blockchain, AR/VR, IoT… you know the drill…) help businesses bounce back through agility of response via reconfigurable work processes and workplaces? What will the “new normal” look like?
Today it is a common practice for data analysts to extract recurring terms and phrases from unstructured, textual data…
All over the globe the consumer is the king. Every business owners ranging from small and medium scale enterprises (SME) to the very big business…
This webinar will speak to what knowledge graphs ‘mean’, in various communities and corporations, and what kinds of problems can be attacked using knowledge graphs.
The talk will demonstrate using these algorithms to build commonly used pipelines, using PySpark on notebooks that will be made publicly available after the talk.
This talk will explain how a cognitive architecture approach can overcome many of these limitations and provide a much more intelligent platform for conversation agent. A practical example of this ‘third wave’ technology will be demonstrated.
This speech is going to address the challenge by transforming a text review into numerical variables and then including them with structured data into the predictive model.
In this deeply technical and practical discussion, you will learn the practices specific to the best-in-class model performance and validation practices used by financial services practitioners ……
As our world is now measured, mapped, and recorded in digital bits, Data is revolutionizing business & technologies ……
In this article, AI and decentralization will be explored to answer how they co-exist to push forward to the next revolution.
We’ve all heard that we should be testing our Machine Learning models in production and getting good test coverage. This talk will give an overview of 4 types of tests…..
Data science is hot and only getting hotter as companies and individuals scramble to catch the wave. As your career as a data scientist develops, how can you best gain firm footing and attain success when the term is so ill-defined and the field is so quick to evolve?
If data is the “new gold,” then why is it not treated as valuable? The two AI certainties are, (1) that you will create your AI future, or (2) someone else will create their AI future where you will exist or maybe not exist.