AI Today Podcast: Artificial Intelligence Insights, Experts, and Opinion AI & Data Today

Companies of all sizes across the globe in just about every single industry are looking to see how AI can provide them a competitive edge. They want AI to provide efficiencies and improve ROI in today’s competitive landscape. As a result, this creates tremendous opportunity in the field of AI for project professionals who are CPMAI certified and follow the CPMAI methodology. This globally recognized certification helps you stand out from the pack when it comes to scoping, managing, and understanding AI and ML projects. In this episode of the AI Today podcast we interview Laetitia Callegari. She is Managing Director at Primescope Technology Solutions, and is CPMAI certified.








What is the CPMAI Certification?







Staying current with AI developments is crucial. However, there's a big difference between simply reading the news and actually applying AI best practices to projects. In this podcast, Laetitia explains why having a step-by-step framework for successfully running and managing projects is a game-changer. With the recent buzz around GenAI, this has become more important than ever. CPMAI offers the essential framework needed. Laetitia shares how she is applying CPMAI in real-world scenarios and provides advice for others running their data, analytics, and AI projects, including lessons she has learned along the way.








Is CPMAI certification worth it?







Laetitia discusses why she got the CPMAI certification. She also shares how the CPMAI methodology helped grow key skills for herself, including providing you the knowledge, lexicon, and credibility she was seeking. The course and certirication provides a comprehensive overview of how to manage and run AI projects, and how to scope AI projects for success, while also touching upon trustworthy AI issues.








Show Notes:










FREE Intro to CPMAI mini course







CPMAI Training and Certification







Cognilytica newsletter







Applying CPMAI Methodology to AI Projects: Interview with Christina Kucek, CAI [AI Today Podcast]







Applying CPMAI Methodology in the real world: Interview with George Fountain, Booz Allen Hamilton (BAH) [AI Today Podcast]







AI Today Podcast: CPMAI in the Real World, Interview with Dr. Philipp Schlenkhoff, CPMAI







What is the Cognitive Project Management for AI (CPMAI) Methodology?

The widespread adoption and use of generative AI means that folks no longer need to be an expert in "hard" skills such as statistics & probability, calculus, or linear algebra to get value from using Generative AI. Instead, the need to use soft skills such as communication, curiosity, problem solving, and adaptability is becoming more important. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer discuss the growing need for critical thinking skills.








What it means to have critical thinking







Critical thinking is the skill of obtaining a solid, reliable, and as accurate an understanding of information as possible, and then using that understanding to make sound decisions. This involves carefully examining information, questioning assumptions, and ensuring that conclusions are supported by strong evidence. In this episode we discuss why this is important when using and interacting with AI models.








Improving your skills







When it comes to soft skills, it's a lifelong learning journey. In this episode we discuss how you can continue to improve on these soft skills. Approaching AI interactions with a healthy dose of skepticism is essential. Question your assumptions and evaluate whether the information processed by AI systems makes sense. Identify the assumptions being made and seek evidence to support or refute them.








Show Notes:









Free Intro to CPMAI course







CPMAI Certification







Subscribe to Cognilytica newsletter on LinkedIn







Is Critical Thinking A Superpower In The AI Era?







Basic Elements of Critical Thinking









 

The Four-Part AI-Enabled Vision of the Future







In 2018, when at the time we thought AI hype couldn’t get any more hype-y, we at Cognilytica spent time thinking about what the broad implications of AI would be on our individual lives, our business and work lives, and on society in general. This thinking led us to put together our four-part vision we called the “AI-Enabled Vision of the Future”. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer review our AI Enabled Vision of the Future and dive deep on the idea of Pervasive Knowledge and what it means that when AI is everywhere we’ll be able to make assumptions that any system that wants or needs to have AI capabilities, will have those capabilities.








Hyperpersonalization and Expectations of Instant Access







With AI at people’s fingertips, people will be able to perform tasks, ask questions, and get instant, hyperpersonalized, tailored responses to their very specific needs. Because the AI models we’ll be interacting with will be building a constant memory of their interactions, as part of their context, they will also be able to craft deeply personalized responses and interactions. In this episode we discuss this deepening of personalization to its extreme will greatly reduce friction and provide a more optimized interaction with the services and organizations we interact with. However, over-personalization might lead to a loss of options, choice, and personal identity.








Changed ideas around privacy







When AI is in everything, this means that there’s always a device watching and listening to you. Big Brother is here! As a result, in many ways, the idea of privacy will seem foreign in the AI-future. In the AI-enabled Future, everyone is a key part of the surveillance state, which means that privacy goes from an expectation to a luxury.








The Great Averaging Applied to Media and Entertainment







In this episode we also discuss how media and entertainment will change. We'll now be provided with uniquely generated content that is only for you. Ironically, since everyone will be getting mass-customized hyperpersonalized content, everyone will get a different version of the same experience. Just as we discussed in our previous newsletter about the Great Averaging, if AI is great at producing what is deemed to be the “best” average, what you get will quickly become entertaining and addictive, but also unbearably bad.








AI and Mental health







Lastly, we discuss the impacts of AI and mental health. In the future, mental health concerns will reach pandemic levels. On one hand, more people will be able to seek treatment for mental health. But on the other hand, people can live in their own echochamber, with the voices in their head becoming realized by the AI systems you interact with.








Listen in to this thought provoking vision of the future around Pervasive Knowledge.








Show Notes:










Free Intro to CPMAI course







CPMAI Certification







Subscribe to Cognilytica newsletter on LinkedIn







Cognilytica’s AI-Enabled Vision of the Future – UPDATED [AI Today Podcast]







a href="https://www.cognilytica.

The Four-Part AI-Enabled Vision of the Future







In 2018, when at the time we thought AI hype couldn’t get any more hype-y, we at Cognilytica spent time thinking about what the broad implications of AI would be on our individual lives, our business and work lives, and on society in general. This thinking led us to put together our four-part vision we called the “AI-Enabled Vision of the Future”. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer review our AI Enabled Vision of the Future and dive deep on what the world looks like when AI enhances all aspects of the human experience.








With AI, Everyone Can Reach their Full Potential







AI is rapidly becoming the augmented intelligence tool we have been hoping and expecting. And it’s helping everyone be able to reach their fullest potential. In the AI-enabled future, if you have a desire to learn or do any particular task, AI will be there to help you accomplish that task. Additionally, we discuss how we will be able to go anywhere and have real-time conversations with anyone in their language of choice.








With this AI-augmented enhancement of the human experience, it should come as no surprise that education will also be impacted. In this podcast, we discuss what the future of education looks like. Educational access will now be in the hands of anyone who wants to learn any topic. AI assistants can educate and inform on any topic at the required level of depth. And explain in a way that is most easily understood for each individual learner. Hyperpersonalized education will be part of our everyday lives, from the moment we are born to our ongoing needs for continuous learning and education throughout our adult lives.








Additionally, creativity will be impacted. In the AI-enabled future, not only artists and writers get their visions generated with the help of AI. So too will all manner of arts and creative output. Anything that has a digital, and perhaps even physical, output will be augmented with AI.








“The Great Averaging”







This leads to the last bit on this topic of the human experience that we discuss in the podcast. AI will be everywhere, and it will be used by everyone in the AI-enabled future. Since AI systems are trained on the collected and average outputs of humanity, that means that anyone and everyone has the power to be average, at the least. AI systems will raise the bar of minimum expectation such that everyone will be expected to produce outputs that are at least as good as the AI-generated average outputs, which in many ways are greater than today’s average level of human performance. Using and leveraging AI in the future won’t be an advantage - it will become expected. It’s only those who don’t use AI who will be disadvantaged.








Show Notes:










Free Intro to CPMAI course







CPMAI Certification







Subscribe to Cognilytica newsletter on LinkedIn







Cognilytica’s AI-Enabled Vision of the Future – UPDATED [AI Today Podcast]







Cognilytica’s AI-Enabled Vision of the Future: The AI-Enhanced Organization [AI Today Podcast]

The Four-Part AI-Enabled Vision of the Future







In 2018, when at the time we thought AI hype couldn’t get any more hype-y, we at Cognilytica spent time thinking about what the broad implications of AI would be on our individual lives, our business and work lives, and on society in general. This thinking led us to put together our four-part vision we called the “AI-Enabled Vision of the Future”. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer review our AI Enabled Vision of the Future and dive deep on what the world looks like when everything is AI enabled. What does it look like to have augmented and autonomous AI everything?








Autonomous or AI Enhanced?







In this episode we discuss that in the AI-enabled future, because AI is truly everywhere, even in things that it shouldn’t be in, that means AI will be in everything. Back in 2018, we discussed how autonomous everything will change the landscape around us. This was primarily because autonomous vehicles captured everyone’s attention. In this podcast we discuss the impact of autonomous vehicles on society and the urban landscape. But, autonomous isn't just about vehicles. We discuss what homes and interactions and experiences look like in an autonomous and AI-enhanced future. And we discuss what the future looks like with fully realized augmented intelligence.








Show Notes:










Free Intro to CPMAI course







CPMAI Certification







Subscribe to Cognilytica newsletter on LinkedIn







Cognilytica’s AI-Enabled Vision of the Future – UPDATED [AI Today Podcast]







Cognilytica’s AI-Enabled Vision of the Future: The AI-Enhanced Organization [AI Today Podcast]

The Four-Part AI-Enabled Vision of the Future







In 2018, when at the time we thought AI hype couldn’t get any more hype-y, we at Cognilytica spent time thinking about what the broad implications of AI would be on our individual lives, our business and work lives, and on society in general. This thinking led us to put together our four-part vision we called the “AI-Enabled Vision of the Future”. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer review our AI Enabled Vision of the Future and dive deep on what the AI-enhanced organization looks like.








The AI-Enhanced Organization of the Future







Already, AI is proving to be a massive enhancement and augmentation to the everyday work and tasks of businesses, enterprises, and organizations of all types. However, in the AI-enabled future, this will be accelerated on steroids. In this podcast we discuss what the acceleration of productivity using AI will look like. We discuss what organizations will look like with actual, intelligent, adaptive systems that can handle whatever is thrown at them to deal with the ever changing needs of moving data and information between systems. Forget dumb automation of today!








Also, we discuss what mass customization and personalization looks like. Hyperpersonalization will finally be achieved! And, we also discuss impacts to the workforce. The workforce of the AI-enabled future will not look like today’s workforce. Further, the organization of the future will not look like today’s organization.








Overall, in the AI-enabled future, AI capabilities are available to the average person, and the self-employed become absolute powerhouses. The AI-enabled future workforce won’t be mass unemployed, but rather mass self-employed. Each individual will be armed with capabilities to multiply their skills and talents, and they will provide those skills to the organizations who can leverage them best. 








Subscribe and tune in to hear Cognilytica's thought leadership ideas around the organization of the future!








Show Notes:










Free Intro to CPMAI course







CPMAI Certification







Subscribe to Cognilytica newsletter on LinkedIn







Cognilytica’s AI-Enabled Vision of the Future – UPDATED [AI Today Podcast]







Who Is On The AI Team?