Calling all Art of Automation fans! Brace yourselves for a special bonus episode with some exciting news.

We're delighted to announce that the Art of Automation podcast is teaming up with the Think Blockchain podcast to create an entirely new show titled "The Art of AI." This podcast is dedicated to exploring the realm of trustworthy AI for businesses.

In this episode, we'll delve into how Automation and AI complement each other perfectly, akin to the delightful pairing of peanut butter and chocolate. Automation serves as the lynchpin in creating a hybrid workforce where humans and AI collaborate, revolutionizing the way we work and enhancing our capabilities.

Far from replacing us, AI augments our efforts, making us "superhumans" with more time to focus on the things we truly love. We'll reveal the vital role that Automation plays, enabling AI to transform data into valuable insights and delivering them seamlessly to users.

Prepare for a captivating journey filled with fun and intriguing conversations. Our digital teammates, Digital Jerry (DJ), and Robo will make appearances, and who knows, they might even take over as guest hosts for a few episodes!

"The Art of AI" podcast will feature a stellar lineup of guests from the world of AI for business, sharing their expertise and insights into the transformative power of trustworthy AI.

So, gear up for the beginning of this exciting new podcast! Join us as we embark on an exploration of AI for business with a sprinkle of Automation. Details on how to tune in can be found in the episode description.

Thank you for being part of the Art of Automation podcast. We look forward to welcoming you to "The Art of AI" - your gateway to the future of trustworthy AI in business.

See you there!

* Coverart was created with the assistance of DALL·E 2 by OpenAI.

** Music for the podcast created by Mind The Gap Band - Cox, Cuomo, Haberkorn, Martin, Mosakowski, and Rodriguez

Welcome to the inaugural episode of the rebranded "Art of Automation" podcast, now titled "The Art of AI." Join your host, Jerry Cuomo, IBM Fellow and VP for Technology, and guest Dr. Ruchir Puri, IBM Fellow and Chief Scientist at IBM Research, as they explore the fundamental theme of this series: "Trustworthy AI for Business." Listen in as they discuss the importance of data governance, responsible AI practices, and transparent model training to ensure that AI systems earn trust and deliver reliability in the business landscape.

In this episode, Ruchir's analogy of a blender illustrates "Un-Trustworthy AI." Just as a blender turns ingredients into an unrecognizable smoothie, AI can consume data without retaining its origin. To ensure trust, proper data governance and attribution are vital. AI models should provide clear sources for their recommendations, fostering credibility and informed decision-making. Trustworthy AI combines responsible practices and transparency, empowering users to harness its potential with confidence.

Ruchir introduces IBM's pioneering watsonx platform as a data and AI platform that’s built for business. He explains that enterprises turning to AI today need access to a full technology stack that enables them to train, tune and deploy AI models, including foundation models and machine learning capabilities, across their organization with trusted data, speed, and governance - all in one place and to run across any cloud environment.

The conversation explores the challenge of reducing AI model "hallucinations," where systems generate incorrect information with unwarranted confidence. The hosts discuss ongoing research efforts to address this issue and elevate the overall accuracy of AI outputs.

This episode sets the stage for a thought-provoking series that explores AI's transformative potential for businesses while highlighting the significance of ethics and trust in shaping the AI-driven future.

References:

• Improving Factuality and Reasoning in Language Models through Multiagent Debate

• Watsonx platform

• Watsonx; Generative AI for business by Dario Gil, THINK 2023

Introducing our first video podcast episode. In this episode of the Art of Automation podcast, IBM Fellow Jerry Cuomo shares a story about the first autopilot designed in 1912 and equates it to a new style of AI-powered automation called BizOps.

He explains how BizOps is like an autopilot for your business, allowing it to fly straight and level without your undivided attention. Through examples, he demonstrates how BizOps can automate critical aspects of your business by connecting the left and right sides of the enterprise brain (business and IT) to observe and correlate data and events across various disciplines.

Jerry discusses how BizOps can help in situations like IT events triggering immediate automated business actions, or business events triggering IT automation to save the day. Finally, he explains how IBM assets like Instana, Turbonomic, and Watson AI OPS can help correlate business and IT events to achieve successful automation outcomes.

Attention, listeners! Get ready for an episode that will likely blow your mind! If video killed the radio star, today we will demonstrate how AI has killed the video star. Okay, maybe we’re being a bit dramatic. This video episode showcases some very impressive tools in the world of AI-generated content. Watch video here on Casted.io

On display in this episode are Pictory.AI, which helps you create stunning videos that perfectly match your script. Natural Reader offers a text-to-speech application with voices so natural that you'll be amazed. And with Synthesia, you can customize your own avatar to speak fluently in multiple languages. But that's just the beginning.

Hosting this episode is Robo the bot, who explores how these tools are revolutionizing the industry, with compelling and near-realistic results. And to top it off, Jerry showcases his own AI-generated avatar, delivering a performance titled, “Reflecting on the Internet: A 3-Minute Journey Through Its Past, Present, and Future”. And he even does a few out-takes in multiple languages… Robo guarantees it will leave you speechless. So, get ready to witness the future of media on The Art of Automation podcast!

Here are some links to show related content.

• Pictory.AI: A tool for creating stunning videos that match your script with real-to-life animations

• Natural Reader: A text-to-speech application that offers a wide range of natural-sounding voices to read any text, including webpages, PDF files, and more

• Synthesia: A platform for creating customizable avatars that can speak fluently in multiple languages

• The Art of Automation book: A book that explores the application of automation in the enterprise, with royalties being donated to cancer research

Welcome to the latest episode of the Art of Automation podcast, where we explore the latest trends and insights on innovation and automation. In this episode, our host Jerry Cuomo sits down with Kemal Kvakic, Head of Innovation at Raymond James, to discuss the role of innovation in a modern enterprise.

Kemal shares his passion for innovation and sheds light on his role at Raymond James. As Chief Innovation Officer, Kemal discusses how he drives change within the organization, including business sponsorship and partnering with IT.

The conversation then turns to the role of automation in financial services, and Kemal provides insights into where he sees the most impact. He also discusses his top technology trends of interest - generational AI and ChatGPT in financial services - and what he believes their impact will be in the future of financial services.

Tune in to this episode of the Art of Automation podcast to hear from an industry expert on the latest trends and insights on innovation and automation in financial services.

In this episode of the The Art of Automation podcast, host Digital Jerry (DJ) and guest Robo, both robots, delve into the topic of building a culture of automation in modern businesses.

What's unique about this episode is that the 90% of the dialogue between the two robot hosts was generated by AI. This highlights the growing role of AI and automation in today's world and how it can assist in generating conversations on complex topics.

DJ and Robo discuss the definition and importance of a culture of automation, as well as the role of gamification in encouraging automation adoption. They also explore the top three inhibitors of adopting such a culture and how technology, including conversational AI with NLP, AI with machine learning, and low-code/no-code development platforms, can help advance it. Robo offers practical advice on how businesses can get started, including identifying key stakeholders and setting clear goals.

Throughout the episode, DJ and Robo share plenty of witty moments, showcasing the ability of robots to bring humor and personality to conversations. The episode is sponsored by IBM Automation and IBM Consulting, and provides valuable insights for anyone interested in learning more about building a culture of automation in their business. . Be sure to check it out and don't forget to grab a copy of the book at artofautomation.org - the proceeds go towards cancer research.

Here are the prompts used to generate the dialog between DJ and Robo:

• Can you help me generate a detailed dialog between a podcast host, named DJ and guest, named Robo.
• It’s important to note that the guests and hosts are both robots.
• Please insert a few jokes between host and guest that comment on the irony of the fact that two robots are hosting a podcast on automation.
• Please have the guest first provide an overview with no more than 3-4 aspects. Then have the host randomly pick one response and ask the guest to go into more detail. And please make the responses interactive and conversational, so don’t do bulleted responses please.
• The total dialog should be about 1000 words, no less.

Here are the questions that DJ will ask.

1. What is a culture of automation?
2. List three reasons why such a culture is important to today’s businesses?
3. What are the top 3 inhibitors of adopting such a culture?
4. What is the linkage between gamification and creating a culture of automation in the enterprise?  Feel free to make a Wargames movie reference.
5. How can technology help advance such a culture? Please list technologies that matter most and include Conversational AI with NLP, AI with Machine Learning, and Low-code/No code development platforms?
6. What advice would you offer on where to start?
7. Before we wrap up, thank the guest, and ask if they can recommend any resources or references for our audience who want to learn more about this topic?  Please be sure in include one of the references to IBM Automation and IBM Consulting as one of the recommended resources, because they are the sponsor for this show.

Here are linked to references made during this episode:

For more information about IRPA AI, you can visit their website at www.irpaai.com. They offer a wide range of resources and events on automation and artificial intelligence.

For information about the IAOP, you can visit their website at www.iaop.org. They are a professional association for outsourcing professionals and offer a variety of resources, events, and networking opportunities for their members.

On the IBM Automation website, you can find information about their automation software and services, including robotic process automation (RPA), intelligent automation, and process mining. They also offer a variety of resources, such as whitepapers, case studies, and webinars, to help businesses understand and implement automation. IBM Automation: https://www.ibm.com/automation/

On the IBM Consulting website, you can find information about their consulting services, including their digital strategy and innovation, enterprise operations, and customer engagement services. IBM Consulting: https://www.ibm.com/services/consulting.

#AutomationInsightsPodcast #AutomationCulture #Gamification #ConversationalAI #NLP #MachineLearning #LowCode #NoCode #IBM #IBMConsulting #AIgenerateddialogue #RobotHumor #BusinessAutomation #DigitalTransformation #RobotHosts #OpenAI #ChatGPT #AIinBusiness

Now Live! Another special *trends* episode on the popular topic of ChatGPT… through the lens of fun encounter with something called ChrisLang.  Listen in, as host Jerry Cuomo, has an upbeat conversation with ChrisLang creator, Chris Hay, as he explains how he stumbled upon creating a new computer language, while playing around with ChatGPT.  

One of the key takeaways from this episode involve “playing around with tech”… just to get a feel… and perhaps trigger thoughts and imagination of how and where Generational AI, and Large Language Models can be applied in your world… by understanding it’s strengths and short comings. And... Be sure to listen to the end, where Jerry challenges his audience to a homework assignment involving “just playing” with ChatGPT.

Chris made a more detailed video on his experience creating ChrisLang with ChatGPT.  Here is the link to that YouTube Video:

CHRISLANG: ChatGPT: codes in my vanity Programming Language

Also, to do the homework assignment, you will need access to ChatGPT.  Here is a link to Open.AI that will get you there.

Last, Connect with Jerry on LinkedIn here. And Jerry’s Digital Twin (DJ) here.  

Also buy the Paperback of Art of Automation here (Royalties are donated to the Cancer Research for Children).

Now Live! This special *trends* episode is on Foundation Models. Listen in as host Jerry Cuomo is joined by fellow IBM Consulting Fellow, Blaine Dolph, for a discussion on this exciting emerging trend in artificial intelligence.

Blaine provides a definition of Foundation Models including what makes them a breakthrough worth paying attention to in the months to come. Jerry and Blaine share several examples using the OpenAI playground, and with a little help from Digital Jerry (DJ), demonstrate how these models can be applied to automate aspects of your everyday work life. Blaine discusses how early examples of models, like GPT-3, BERT, or DALL-E 2, have shown what’s possible. Input a short prompt, and the system generates an entire essay, or a complex image, based on your parameters, even if it wasn’t specifically trained on how to execute that exact argument or generate an image in that way.

What exactly is a foundation model, you ask?

A foundation model is a deep learning algorithm that has been pre-trained with extremely large data sets. In many cases the data is scraped from the public internet including Wikipedia and GitHub.

Unlike narrow artificial intelligence (narrow AI) models that are trained to perform a single task, foundation models are trained with a wide variety of data and can transfer knowledge from one task to another. This type of large-scale neural network can be trained once and then fine-tuned to complete different types of tasks.

Foundation models contain hundreds of billions of hyperparameters that have been trained with hundreds of gigabytes of data. Once completed, however, each foundation model can be modified an unlimited number of times to automate a wide variety of discrete tasks.