Data is the heart of AI. So, therefore doing things associated with your data is going to be critical for AI projects. This includes Data Preparation, Data Cleaning, Data Splitting, Data Multiplication, and Data Transformation. 
In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms above and explain why they are important for AI projects.
Continue reading AI Today Podcast: AI Glossary Series – Data Preparation, Data Cleaning, Data Splitting, Data Multiplication, Data Transformation at Cognilytica.

AI Today Podcast: AI Glossary Series – Data Preparation, Data Cleaning, Data Splitting, Data Multiplication, Data Transformation

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On May 17, 2024, Governor Jared Polis signed SB24-205, a pioneering law to protect Colorado consumers using AI systems. The legislation mandates transparency and accountability, ensuring AI technologies are developed ethically and fairly. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer interview Rep Manny Rutinel. He is a Colorado State Representative and a Prime Sponsor of the bill in the House.
Continue reading AI Accountability & Colorado’s Trailblazing AI Consumer Law: Interview with Rep Manny Rutinel [AI Today Podcast] at Cognilytica.

AI Accountability & Colorado’s Trailblazing AI Consumer Law: Interview with Rep Manny Rutinel [AI Today Podcast]

Generative AI has significantly influenced content creation, data analysis, and interactive communication, but there is a growing need for intelligent systems to perform tasks with minimal human input. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer dicuss the concept of Agentic AI, including what it is, and why it’s becoming popular.
Continue reading The Rise of Agentic AI [AI Today Podcast] at Cognilytica.

The Rise of Agentic AI [AI Today Podcast]

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.
Continue reading Applying CPMAI Methodology to AI Projects: Interview with Laetitia Callegari [AI Today Podcast] at Cognilytica.

Applying CPMAI Methodology to AI Projects: Interview with Laetitia Callegari [AI Today Podcast]

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.
Continue reading Why Critical Thinking is Crucial for AI [AI Today Podcast] at Cognilytica.

Why Critical Thinking is Crucial for AI [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”.
Continue reading Cognilytica’s AI-Enabled Vision of the Future: Pervasive Knowledge [AI Today Podcast] at Cognilytica.

AI Today Podcast: AI Glossary Series – Data Preparation, Data Cleaning, Data Splitting, Data Multiplication, Data Transformation

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