IBM CEO Ginni Rometty Delivers Opening Keynote at CES 2019 on What’s Next in Artificial Intelligence, Blockchain and Quantum Computing

“IBM Chairman, President and CEO Ginni Rometty will deliver the opening keynote at CES 2019 on Tuesday, Jan. 8. CES is the largest and one of the most influential technology events in the world.

Rometty will show how technologies like artificial intelligence, blockchain and cloud are reshaping the world of business, and, in turn, our daily lives. She also will talk about what’s coming next in these pioneering technologies – and how new data will revolutionize how we live, work and play.”

IBM Unveils It’s Vision For The Future Of Artificial Intelligence

“Working to Improve Learning

What makes AI different from earlier technologies is its ability to learn.

“A big challenge now is being able to learn more from less,” Dr. John Smith, Manager of AI Tech at IBM Research, told me. “For example, in manufacturing there is often a great need for systems to do visual inspections of defects, some of which may have only one or two instances, but you still want the system to be able to learn from them and spot future instances.”

“We recently published our research on a new technique called few-shot or one-shot learning, which learns to generalize information from outliers”, he continued. “It’s still a new technique, but in our testing so far, the results have been quite encouraging.” Improving a system’s ability to learn is key to improving how it will perform.

Understanding Context

One of the most frustrating things about AI systems is their inability to understand context.”

IBM has announced AI OpenScale

“IBM has announced AI OpenScale, a service that aims to bring visibility and explainability of AI models for enterprises.

Initially, the service supports models deployed within IBM Watson. AI OpenScale can be used with 3rd party platforms such as Amazon SageMaker and Azure ML running models developed in TensorFlow, Keras, Scikit-Learn, SparkML and PMML. The service logs the input and output from external services for further analysis.

According to IBM, NeuNetS can help businesses reach accuracy similar to that of an expert-designed AI model in a matter of hours, rather than weeks and months. An expert data scientist can then further tune the model.