AI Today Podcast

Our AI Failures Series podcast was so popular we wanted to revisit some of the main reasons why we see AI projects fail. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer revisit the discussion around common reasons why AI projects fail. Not every vendor solution solves your problem, regardless of what they may tell you. Continue reading AI Today Podcast: Revisiting AI...

Back in 2012 an article was published in HBR stating that Data Scientist was the sexiest job of the 21st Century. However, about a decade later, does this still hold true? In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss how Data Project Manager is becoming the new sexy job title of the next decade, why certifications for PMs matter, and how certifications lik...

Far too often, agencies, organizations, and consulting firms are running data and AI projects without taking the right steps to ensure their success. Agile and iterative approaches have become adopted best practices for application development projects, but why don’t we have something similar when it comes to advanced analytics, big data, and AI projects? Without using best-practices approaches th...

Like all technologies, Artificial Intelligence (AI) is not immune to the waves of obscurity, hyped promotion, plateauing of interest, and decline. In fact, the AI industry has been through two such major waves of interest, hype, plateau, and decline, commonly referred to as the “AI Winters”. Is the next AI Winter approaching? In this episode of the AI Today podcast hosts Kathleen Walch and Ron Sch...

Level 3 Intelligent Automation allows you to address the greatest challenges of unpredictability and variability and be able to achieve autonomous process discovery, autonomous process analytics, and autonomous process optimization. But is Level 3 Intelligent Automation right for your team or process? In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss what Level...

Level 2 Intelligent Automation allows you to address greater challenges of unpredictability and variability. But how do you know if Level 2 Intelligent Automation is even right for your team? In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss what Level 2 Intelligent Automation is, how to go beyond NLP & computer vision to use cognitive technology to help sp...

Adding intelligence to automation enables greater degrees of variability and unpredictability. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss what it means to have Level 1 automation to handle variability and unpredictability, how to incorporate NLP and computer vision to help handle tasks with unstructured data, some of the challenges Level 1 automation can...

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer dive deep into Level 0 Automation, why so-called “dumb” automation provides tremendous value to your team when implemented correctly. This episode shares examples for immediate ROI with Level 0 automation, how your team should go about identifying and prioritizing opportunities for Level 0 automation, how to plan and it...

For organizations who want to get started on their AI journey, a great first place to start is with automation. However, what exactly do you automate? In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss how to find automation opportunities in business processes, questions your team should ask when figuring out what to automate, and when and when not to start with...

In our first ever AI Today podcast we asked the question “Does AI Matter?” and we revisited this question in our one year anniversary podcast as well. Now about 5 years from our first ever podcast episode we wanted to ask this question again: Does AI still matter in 2022? In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer dig into this question and share how AI has chan...

For organizations who want to get started on their AI journey, a great first place to start is with automation. However before even figuring out what to automate you should have a solid understanding of your business processes and tasks. But, what exactly is a business process? In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss what a business process is, define...

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 readi...

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 pro...

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...

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 Veriz...

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...

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...

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, disc...

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 provi...

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. Co...

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 readi...

In order for many machine learning algorithms to be trained, especially supervised learning algorithms, they need to be fed relevant data along with the desired meaning of the data. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer provide an overview of the data labeling market, what “ground truth” labeling is, the different data labeling and annotation needs, and dat...

On today’s AI Today podcast hosts Kathleen Walch and Ron Schmelzer are going to do their annual AI Market Forecast & Trends. They will spend some time reflecting on what they are seeing in the market and where they forecast the AI markets will go in 2022. They will talk about the Data Labeling, Data Engineering & Preparation, ML Platforms, ML Ops, and RPA markets. Continue reading AI Today...

With 2021 quickly fading into the rear view mirror it’s time to do our annual yearly AI recap. On today’s podcast hosts Kathleen Walch and Ron Schmelzer are going to take a look back at 2021 as it relates to AI and share some of the hottest news from the past year, including acquisitions and fund raises, and some of our favorite podcasts of 2021. Continue reading AI Today Podcast: Looking back at...

AI is not new – in fact the term was coined in 1956. Why then, if it’s been around for decades, and we are now on our third major wave of AI interest and hype, do we keep making the same mistakes that have brought us to two previous AI Winters? Are we still overpromising what AI can deliver? Continue reading AI Today Podcast: AI Failure Series – Overpromising and Underdelivering at Cognilytica.