Generative AI

Generative AI refers to artificial intelligence systems that are capable of creating new content such as text, images, audio, and video. These systems have various capabilities that allow them to generate content that is similar to that created by humans. Some of the key capabilities of generative AI include:

  • Text Generation: Systems such as GPT-3 can generate human-like text based on a given prompt or source text. These systems are trained on large datasets to learn linguistic patterns and content styles.

  • Image Generation: Systems such as DALL-E 2 can generate realistic images from text descriptions. They use deep learning and computer vision techniques to create images.

  • Audio Generation: AI systems can generate human-like speech and music by learning from large datasets. Examples of such systems include Google’s WaveNet for speech synthesis and Jukebox by OpenAI for music generation.

  • Video Generation: Emerging techniques enable AI to generate synthetic video content by analyzing and recombining elements from source images and videos.

The common thread among these generative AI models is that they create original artifacts that mimic the patterns and styles found in the training data. Generative AI has many potential applications in content creation, media, gaming, and more. However, it also raises concerns about authenticity, copyright, and the potential for misuse.

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Episodes

186 - Introduction to GenAI RAG
In a rapidly evolving digital sphere, generative Artificial Intelligence (GenAI) is capturing the attention of technophiles across the globe. Regarded as the future of AI technology, GenAI is broadening boundaries with its potential for accurate simulations and data modeling. A prominent figure in this arena, Eduardo Alveraz, an AI Solution Architect at Intel and former geophysicist, holds invaluable insights into this fascinating world of GenAI.

180 - Generative AI in Higher Education (Revisited)
In this week's episode of Embracing Digital Transformation, Darren Pulsipher interviews guest speaker Laura Newey about her fascinating journey through the critically emerging world of Generative AI, particularly in the education sector. Covering the transformation of her teaching experience and enriching her students' learning outcomes through AI, she extensively analyzed adapting to modern education dynamics.

179 - Leveraging Generative AI in College
In this episode, Darren interviews his daughter who recently completed her first semester in college about her experience using generative AI technology in her academic studies. She describes the challenges and successes associated with utilizing this transformational tool.

173 - Generative AI with Claude
In this episode, Darren interviews ClaudeAI, a generative AI, about automating work with AI. This is Darren's third interview with a generative AI, after ChatGPT and Google Bard.

171 - Generative AI in Public Sector
In this episode Darren talks about Generative AI and its practice usages. Generative AI is exploding with new capabilities like creating text, images, video and audio. However, there are risks like bias, accountability and data leakage that need to be addressed.

169 - Keeping the Human in AI
In a recent episode of the Embracing Digital Transformation podcast, host Darren Pulsipher, Chief Solution Architect of Public Sector at Intel, interviews Sunny Stueve, the Lead of Human Centered AI at Leidos. The podcast delves into the importance of human-centered design and user experience when integrating AI technology.

168 - Everyday Generative AI
In this podcast episode, Darren Pulsipher interviews Andy Morris, an Enterprise AI Strategy Lead at Intel, about the impact of generative AI on everyday life.

161 - Natural Language Data Analytics
In the latest episode Darren Pulsipher sits down with Steve Wasick, the CEO and founder of InfoSentience, to discuss the power and potential of natural language data analytics. Steve, who comes from an unconventional background as an English major turned screenwriter turned lawyer turned tech founder, brings a unique perspective to the field.

160 - Security in Generative AI
In this episode, host Darren Pulsipher is joined by Dr. Jeffrey Lancaster to delve into the intersection of generative AI and security. The conversation dives deep into the potential risks and challenges surrounding the use of generative AI in nefarious activities, particularly in the realm of cybersecurity.

159 - GenAI Policies
In this episode, host Darren interviews Jeremy Harris and delve into the importance of establishing policies and guidelines for successful digital transformation. With the increasing prevalence of digital technologies in various industries, organizations need to adapt and embrace this transformation to stay competitive and meet evolving customer expectations.

158 - GenAI in Higher Education
In this podcast episode, Darren Pulsipher, chief solution architect of public sector at Intel, interviews Laura Torres Newey, a New York Times best-selling author and university professor, about the impact of generative AI in higher education. This episode delves into the challenges and opportunities presented by the integration of generative AI in the classroom, highlighting the need for critical thinking skills, the concerns of bias, and ensuring the preservation of unique voices.

157 - Operationalizing GenAI
In this podcast episode, host Darren Pulsipher, Chief Solution Architect of Public Sector at Intel, discusses the operationalization of generative AI with returning guest Dr. Jeffrey Lancaster. They explore the different sharing models of generative AI, including public, private, and community models. The podcast covers topics such as open-source models, infrastructure management, and considerations for deploying and maintaining AI systems. It also delves into the importance of creativity, personalization, and getting started with AI models.

156 - Becoming a Data Ready Organization
In the podcast episode, retired Rear Admiral Ron Fritzmeier joins host Darren Pulsipher to discuss the importance of data management in the context of generative artificial intelligence (AI). With a background in electrical engineering and extensive experience in the cyber and cybersecurity fields, Ron provides valuable insights into the evolving field of data management and its critical role in organizational success in the digital age.

153 - Training the Next Generation in AI
In this podcast episode, Pete Schmitz, a retired Intel account executive, talks about his work with high school students in teaching them about AI and how to use it in their robotics competitions. He explains that these competitions require the use of autonomy, and AI is a crucial component in achieving that. Pete shares an example of how computer vision, powered by AI, is used in the Defense Advanced Research Projects Agency's unmanned surface vehicle, DARPA D Hunter.

147 - GenerativeAI and Automation (Google Bard)
In this episode Darren dusts off an interview he did with chatGPT and did the same interview with Google Bard. Interesting comparison with Episode 122 in Embracing Digital Transformation.