Data science is transforming business and generating new value across the organization. However, for large organizations they need a centralized group that centers on a discipline’s vision, governance, technique, and framework. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer Venkat Gunnu who is Senior Director, Data Science & Innovation at Comcast. Continue reading AI Today Podcast: Interview with Venkat Gunnu, Senior Director, Data Science & Innovation at Comcast at Cognilytica.

For organizations who want to get started on their AI journey, a great first place to start is with automation. However, figuring out what to automate, why to automate, and what return on investment (ROI) it will provide can be tricky. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss level 0 automation – what is it, why organization should look to automate processes, and what questions to ask in order to get started. Continue reading AI Today Podcast Roadmap Series: From Automation to Intelligence – What should we automate and why at Cognilytica.

Shopify has over 1.7 million merchants across over 175 countries, with hundreds of millions of consumers shopping at their stores. By leveraging the scale of their data they are able to create new experiences for their merchants, and apply Machine Learning at scale. In this episode of the AI Today podcast, hosts Kathleen Walch and Ron Schmelzer interview Ella Hilal, who is the Head of Data Science, Engineering, Revenue and Growth at Shopify. Continue reading AI Today Podcast: Implementing AI at Scale, Interview with Ella Hilal, Head of Data Science, Engineering, Revenue and Growth at Shopify at Cognilytica.

As companies are looking to leverage cognitive technology, and deploying machine learning models, organizations need to make sure they have the correct people, processes, and technology in place to succeed. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss with Anil Kumar, Exec. Director AI Industrialization at Verizon what AI industrialization is and how Verizon is moving from pockets of AI/ML to AI/ML being implemented across the organization. Continue reading AI Today Podcast: What is AI Industrialization? Interview with Anil Kumar, Exec. Director at Verizon at Cognilytica.

The idea of bringing organizations from automation to intelligence is about the journey, not the destination. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss and overview of the automation to intelligence journey including introducing benefits of automation, discussing why the automation journey matters, and how to go about moving up the ladder of automation to intelligence. Continue reading AI Today Podcast: Roadmap Series: Getting Started on the Automation to Intelligence Journey at Cognilytica.

Heavily regulated industries such as healthcare can pose unique challenges, but also provide unique opportunities with it comes to AI and ML. In this episode of the AI Today podcast, hosts Kathleen Walch and Ron Schmelzer interview Vignesh Shetty who is Senior Vice President & General Manager Edison AI and Platform at GE Healthcare Digital. Continue reading AI Today Podcast: AI and Healthcare – Interview with Vignesh Shetty SVP & GM Edison AI and Platform at GE Healthcare Digital at Cognilytica.

At a very fundamental level facial recognition is a way of recognizing a human face through technology. Seems straight forward enough, right? Not so fast. For many industries, facial recognition technology is still a gray area, clouded with mystery and mistrust. In this episode of the AI Today podcast, hosts Kathleen Walch and Ron Schmelzer provide an overview of how facial recognition works, discuss the concerns and issues around facial recognition technology, news about how the technology was misused or raised ethical concerns, and pose the question: Is facial recognition technology a technology that is too difficult to get right in practice? Continue reading AI Today Podcast: The Challenges and Issues with Facial Recognition at Cognilytica.

Machine learning algorithms need examples of data from which they can learn, especially supervised machine learning algorithms. However, one big challenge for those looking to put machine learning into practice is the lack of a sufficient quantity of good quality data examples from which to train systems. To address the needs for large quantities of high quality data, vendors have emerged to provide computer-generated data, known as synthetic data, that matches the range and quality of data needed to train systems. Continue reading AI Today Podcast: Overview of Synthetic Data at Cognilytica.

This podcast episode provides a snippet of Cognilytica’s AI and ML education from our Cognilytica Education Subscription. Data is at the heart of AI. It should be no surprise then that proper data management is crucial for AI projects. This podcast is an excerpt from our Cognilytica Education course discussing data pipelines. In this clip we discuss the training pipeline the inference pipeline. Continue reading AI Today Podcast: AI Education Series: Data Pipelines at Cognilytica.

As the markets for Data, Automation, Analytics, and AI continue to evolve, so too does Cognilytica’s coverage of these areas. In today’s podcast we discuss how we are expanding our current Cognilytica Classification of the AI Vendor Ecosystem to include a data infrastructure layer. Within this layer falls data generation, big data storage and query, and data engineering and DataOps. Continue reading AI Today Podcast: The Expanding Data Infrastructure Layer at Cognilytica.