In this episode of AI Today, host Kathleen Walch sits down with Chris Caldwell, CEO of Concentrix, to explore how AI is being operationalized across customer experience (CX) ecosystems—from listening and learning to acting and delivering at scale. 

This conversation dives into how trust, transparency, and intentional use of AI are helping Concentrix deliver highly personalized experiences for some of the world’s largest brands. Chris shares how their teams are moving beyond dashboards and metrics toward outcomes powered by real-time, AI-driven insight. 

Tune in to hear about: 

• Why trust is foundational for AI adoption in customer interactions 
• How natural language AI is transforming both listening and action 
• What it takes to deliver true hyper-personalization at scale 
• Why transparency, control, and choice matter in every AI use case 
• Real-world examples of AI streamlining service, support, and retention 
• How Concentrix balances experimentation with client outcomes 

Whether you're in customer experience, enterprise transformation, or scaling AI in a service environment, this episode delivers clear, grounded insight into what it really means to build AI that listens, learns, and acts—with the customer at the center. 

Concentrix Corporation (NASDAQ: CNXC), a sponsor of today’s podcast episode, is a Fortune 500® company, is the global technology and services leader that powers the world’s best brands, today and into the future. The company is solution-focused, tech-powered, intelligence-fueled to design, build, and run fully integrated, end-to-end solutions at speed and scale across the entire enterprise. Concentrix helps over 2,000 clients solve their toughest business challenges. With unique data and insights, deep industry expertise, and advanced technology solutions, it’s the intelligent transformation partner that powers a world that works, helping companies become refreshingly simple to work, interact, and transact with. Delivering outcomes unimagined across every major vertical in 70+ markets. Virtually everywhere. Visit concentrix.com to learn more. 

In this episode of AI Today, host Kathleen Walch sits down with Fred Laluyaux, CEO of Aera Technology, to discuss how enterprises are evolving their operating models through AI-powered decision intelligence.  

Tune in to hear about: 

• What “decision intelligence” really means—and why it matters 
• How AI can move from experiments to operational transformation 
• The rise of decision architects and control rooms inside the enterprise 
• Why “learning by doing” beats “learning by reading” when adopting AI 
• How change fatigue, value misalignment, and risk aversion affect AI initiatives 
• What the future of knowledge work could look like with embedded intelligence 

Whether you’re leading digital transformation, deploying enterprise AI, or exploring new operating models, this conversation offers sharp insights into building organizations that can sense, decide, and act at scale.  

Aera Technology, a sponsor of today’s podcast episode, is the leader in decision intelligence and creator of Aera, the first decision intelligence agent. Aera understands how your business works, makes real-time recommendations, takes actions, and learns from every decision. By empowering enterprises to optimize and automate decisions, Aera enables greater sustainability, intelligence, and efficiency. See this in action at AeraHUB NYC as market leaders share how they are scaling decision intelligence for a competitive edge in the age of AI. 

In this episode of AI Today, hosts Kathleen Walch and Ron Schmelzer explore how artificial intelligence is powering the evolution of smart cities. From traffic lights to energy grids, AI is helping urban areas become more efficient, responsive, and sustainable.

Learn how AI is being used to:

• Manage smart buildings through automated lighting, heating, and cooling
• Optimize traffic flow with real-time data and AI-controlled signals
• Enhance public transit systems through demand-based scheduling and fleet management
• Support public safety and emergency response via AI-powered surveillance and threat detection
• Streamline waste collection using smart bins, route optimization, and predictive models
• Improve citizen engagement with chatbots, virtual assistants, and personalized city services
• Manage energy and water use through smart grids, leak detection, and demand forecasting
• Monitor environmental conditions such as air quality, noise pollution, and urban heat zones

Whether you live in a major metro area or manage city infrastructure, this episode highlights how AI is quietly transforming the way cities operate—making urban life smarter, safer, and more sustainable.

In the context of technology adoption, “crossing the chasm” refers to the pivotal moment when an emerging technology moves beyond the early adopters and innovators phase to reach the early majority of users. This concept, popularized by Geoffrey A. Moore in his book “Crossing the Chasm,” highlights the gap or “chasm” that exists between the initial acceptance of a technology by enthusiasts and visionaries and its broader acceptance by a more pragmatic, mainstream market.

Continue reading Has AI Crossed the Chasm? [AI Today Podcast] at Cognilytica.

What is pseudo AI?

While AI is all about machines that have the intelligence like people, Pseudo AI or “AI washing” is when a company or product claims that AI is being used for a specific task or feature, but in reality, it’s people doing that task. In the startup world, “faking it until you make it”, is a common practice.

Continue reading Pseudo AI: Still a Thing, Still a Problem [AI Today Podcast] at Cognilytica.

What is Data Debt?

Organizations are awash with data. And data has been growing at organizations for decades. Data is accumulating across many different systems, processes, and as organizations evolve, merge, and change. What comes out of this is the idea of data debt, which is the accumulation of data-related problems over time as a result of the accumulation of data systems.

Continue reading AI Education Series: Data Debt [AI Today Podcast] at Cognilytica.

What is a responsible AI?

AI systems have the potential to provide great value, but also the potential to cause great harm. Knowing how to build or use AI systems is simply not going to be enough. You need to know how to build, use, and interact with these systems ethically and responsibly. Additionally you need to understand that Trustworthy AI is a spectrum that addresses various aspects relating to societal, systemic, and technical areas.

Continue reading Trustworthy AI Series: Responsible AI Concepts [AI Today Podcast] at Cognilytica.

What can possibly go wrong when you embed someone else’s AI models in your systems? This episode of the AI Today podcast aims to answer this question. And, provide alternative options to Open Source AI. Despite the increasingly walled garden that is becoming the Large Language Models (LLMs) such as OpenAI’s ChatGPT, organizations are creating and embedding AI solutions powered by third-party models they have little visibility and control into.

Continue reading The Increasingly Anti-Competitive World of AI and Open Source AI [AI Today Podcast] at Cognilytica.

What are the 5 ethics in artificial intelligence?

AI systems have the potential to provide great value, but also the potential to cause great harm. Knowing how to build or use AI systems is simply not going to be enough. You need to know how to build, use, and interact with these systems ethically and responsibly.

Continue reading Trustworthy AI Series: Ethical AI Concepts [AI Today Podcast] at Cognilytica.

What is a Chief AI Officer (CAIO)?

There has been a lot of talk lately, including a new executive order in the US, about the need for a Chief AI Officer. But, what is this role? And, is it really needed? We wanted to spend some time in today’s podcast revisiting a topic we first wrote about in 2019.

Continue reading Do you need a Chief AI Officer? [AI Today Podcast] at Cognilytica.

In an era where Artificial Intelligence is revolutionizing various industries, professionals equipped with the right skills and certifications are in high demand. The Certified Project Management for AI (CPMAI) certification is a game-changer for those seeking to excel in planning, managing, and executing AI and ML projects. And for those looking to grow critical AI and data skills.

Continue reading Growing Key AI and Data Skills with CPMAI: Interview with Selvie Thevathasan [AI Today Podcast] at Cognilytica.

How can AI be trustworthy?

AI systems have the potential to provide great value, but also the potential to cause great harm. Knowing how to build or use AI systems is simply not going to be enough for organizations. You need to know how to build, use, and interact with these systems ethically and responsibly.

Continue reading The Layers of Trustworthy AI Revisited [AI Today Podcast] at Cognilytica.

It’s hard to have a conversation about AI these days without the topics of Generative AI and Large Language Models (LLMs) coming up. And, Large Language Models (LLMs) have been proving useful for a variety of things such as helping write text, write code, generate images, and help augment human workers. However, as people are using LLMs, they are demanding even greater accuracy and relevance to their specific industry and/or topic area.

Continue reading AI Glossary Series: Retrieval Augmented Generation (RAG) [AI Today Podcast] at Cognilytica.

In this episode of AI Today, hosts Kathleen Walch and Ron Schmelzer explore how artificial intelligence is being applied to one of humanity’s greatest challenges: protecting the environment. From conservation and climate modeling to waste management and disaster response, AI is playing a growing role in sustainability efforts worldwide.

Tune in to learn how AI is being used to:

• Monitor wildlife populations, migration patterns, and poaching risks using sensors, drones, and satellite imagery
• Track deforestation, land use changes, and illegal activity in remote regions
• Predict and manage air and water quality, including pollution hotspots and supply risks
• Support climate change modeling and forecasting using historical and real-time data
• Optimize renewable energy sources such as solar and wind, and balance energy grids
• Assist in disaster response and recovery through damage assessment, route optimization, and coordination
• Improve recycling and waste sorting with AI-powered robotics and computer vision
• Reduce environmental risks by monitoring emissions, tailings dams, and compliance with ecological regulations

AI’s environmental impact isn’t just a challenge—it’s also an opportunity. This episode highlights how thoughtful AI applications can help drive a more sustainable and resilient planet.

In today’s fast paced landscape, AI has emerged as a transformative technology. It’s being used as an augmented intelligence tool to help people do their job and tasks better. AI is also being used to help people create content and art. It’s being used to make decisions, both big and small. Loan decisions, product recommendations, movie recommendations, and so much more.

Continue reading Overview of the Comprehensive Trustworthy AI Framework [AI Today Podcast] at Cognilytica.

How many categories of AI are there?

Artificial Intelligence and machine learning is maturing considerably. You can now find AI projects in every industry. At Cognilytica, we spend a considerable amount of time on use cases and how different industries are using AI. As we analyze hundreds of different use cases, interact with many customers, deliver our AI and ML training courses, and write dozens of articles we find that there are seven common patterns that seem to continuously show up in all these use cases.

Continue reading Revisiting the Seven Patterns of AI in 2024 [AI Today Podcast] at Cognilytica.

Companies of all sizes in just about every single industry across the globe are looking to see how Artificial Intelligence (AI), machine learning (ML), and cognitive technology projects can provide a competitive edge, provide efficiencies, and improve ROI in today’s competitive landscape. As a result, this creates tremendous opportunity in the field of AI for professionals who are CPMAI certified and follow the CPMAI methodology.

Continue reading Applying CPMAI Methodology to AI Projects: Interview with Christina Kucek, CAI [AI Today Podcast] at Cognilytica.

Facial recognition falls under the recognition pattern of AI. On it’s own the technology is neutral. However, it’s the application and use (or misuse) of this technology that can have severe consequences. Rite Aid is one of the most recent companies to come under fire for their use of facial recognition. In this episode of the AI Today podcast we explore what happened that that caused the FTC to give retailer Rite Aid fa facial recognition ban for 5 years.

Continue reading Trustworthy AI Best Practices: Lessons Learned from the Rite Aid Facial Recognition Ban [AI Today Podcast] at Cognilytica.

Hyperpersonalization is focused on machine learning approaches that can develop a profile of an individual that can evolve over time rather than categorizing or “bucketing” an individual into a pre-defined category. One of the seven patterns of AI, the goal is to treat each individual as an individual. As you can imagine, this is a marketers dream.

Continue reading AI Today Podcast: Hyperpersonalization at Diageo: Interview with Nick Owen, Diageo at Cognilytica.

AI projects are really data-centric projects. After all, data is the heart of AI. So it should come as no surprise that project managers who are managing AI projects need to move beyond just general project management skills. These provide a good foundation for managing schedules, resources, and the people needed to meet organizational goals.

Continue reading AI Today Podcast: The Critical AI and Data Skills Needed for AI Project Managers at Cognilytica.

In this episode of the AI Today podcast we want to look at some of the biggest trends in AI, including where AI is headed in 2024 and what this means for you.

Generative AI Gets Embedded in Everything

The ease and availability of Generative AI makes it easy to embed in everything.

Continue reading AI Today Podcast: Looking ahead at AI (and AI Today) in 2024 at Cognilytica.

In this episode of the AI Today podcast we want to take a look back at some of the highlights in AI, including headline-making AI news. 2023 was the year for generative AI. It was also the year for Trustworthy AI.

Generative AI all day, every day

Despite a pullback in other areas, Venture Capital investment in AI continues to be hot in 2023.

Continue reading AI Today Podcast: Looking back at AI in 2023 at Cognilytica.

The EU AI Act is a groundbreaking law that is the first ever law that will regulate AI. It’s the world’s first comprehensive AI law. It’s the first major regulatory framework for AI at a continental level, and the world’s first rules on AI. One of the goals of the AI Act is to provide a comprehensive set of rules for trustworthy AI.

Continue reading AI Today Podcast: The EU AI Act – What does it mean for you? at Cognilytica.

AI continues to have an impact on just about every single industry. Companies are on their AI journey to see how it can help with hypersonalization, improve efficiencies, and help them gain a competitive edge. The Consumer Packaged Goods (CPG) industry is embracing AI in number of ways. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer interview Nandini Nandakumar.

Continue reading AI Today Podcast: How AI is Transforming CPG: Interview with Nandini Nandakumar, Diageo at Cognilytica.

In this episode of AI Today, hosts Kathleen Walch and Ron Schmelzer dig into the transformative role of artificial intelligence in the mining industry. From underground safety to surface-level sustainability, AI is helping modernize one of the world’s oldest and most essential sectors.

Learn how AI is being used to:

• Operate autonomous trucks, drills, and loaders in hazardous environments
• Monitor equipment health and perform predictive maintenance to reduce downtime
• Optimize resource extraction and mineral processing in real time
• Improve mine planning and resource estimation through advanced data analysis
• Enhance exploration efforts using geological data and machine learning
• Detect safety hazards such as gas leaks, rockfalls, and structural risks
• Reduce energy usage and environmental impact with AI-driven sustainability tools
• Monitor regulatory compliance and manage tailings dams to prevent disasters

While mining may be out of sight for most of us, AI is bringing new visibility, precision, and responsibility to the way we extract the world’s resources.

Depending on the type of AI project that you do, it can have different lengths to see ROI. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss the different lengths of time to ROI for different types of AI projects.

Augmented Intelligence is where machines and humans work together to help assist the human to be better at tasks.

Continue reading AI Today Podcast: Different Time to ROI for Different Types of AI Projects at Cognilytica.

We often get asked what projects are appropriate for AI versus other forms of technology. So, we thought it was a great topic for a podcast. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer go over when to do automation versus AI.

Automation is using technology to perform repetitive tasks.

Continue reading AI Today Podcast: When to do Automation Versus AI at Cognilytica.

AI is impacting very about every single industry and pharma is no exception. AI has tremendous potential in streamlining processes, optimizing drug discovery, and enhancing patient care in ways we’ve never seen before. In this episode of the AI Today podcast we have an insightful conversation with Xiong (Sean) Liu. He is the Director of Data Science and AI at Novartis.

Continue reading AI Today Podcast: AI in Pharma – Interview with Xiong (Sean) Liu, Novartis at Cognilytica.

You may have heard the terms proof-of-concept, pilot, and production thrown around relating to various projects at your organization. But, do you know the difference between all of them?

And when running and AI project should you start with a proof-of-concept or pilot project?

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Proof-of-Concept, Pilot, and Production.

Continue reading AI Today Podcast: AI Glossary Series – Proof-of-Concept, Pilot, Production at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Anonymization, General Data Protection Regulation (GDPR), Uncanny Valley, explain how these terms relate to AI and why it’s important to know about them.

If you’re not familiar with the General Data Protection Regulation (GDPR) is a European Union regulation focused on data protection and privacy first published in 2016.

Continue reading AI Today Podcast: AI Glossary Series – Anonymization, General Data Protection Regulation (GDPR), Uncanny Valley at Cognilytica.

Hadoop and MapReduce changed the world of big data. And data is the heart of AI, so it should come as no surprise that talk about big data in the context of AI. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Hadoop, MapReduce, explain how these terms relate to AI and why it’s important to know about them.

Continue reading AI Today Podcast: AI Glossary Series – Hadoop, MapReduce at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Algorithmic Discrimination, Governance, Pseudo AI. Why are these terms vital in the AI landscape? And what do they mean?

Algorithmic discrimination

If you’re unfamiliar with the term algorithmic discrimination, it’s when bias in data used to train the algorithm can result in unfair decisions and results.

Continue reading AI Today Podcast: AI Glossary Series – Algorithmic Discrimination, Governance, Pseudo AI at Cognilytica.

With the use of malicious AI on the rise, it’s hard to believe anything you read, hear, or see these days. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Malicious AI, Adversarial Attack, DeepFake, explain how these terms relate to AI and why it’s important to know about them.

Continue reading AI Today Podcast: AI Glossary Series – Malicious AI, Adversarial Attack, DeepFake at Cognilytica.

Companies of all sizes in just about every single industry across the globe are looking to see how Artificial Intelligence (AI), machine learning (ML), and cognitive technology projects can provide a competitive edge, provide efficiencies, and improve ROI in today’s competitive landscape. As a result, this creates tremendous opportunity in the field of AI and for professionals who are CPMAI certified.

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

Generative AI continues to be a hot topic discussion. People are using generative AI to help with many things, but just like with any technology it’s important to understand it’s a tool. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer discuss how to actually put Generative AI into the apps and products that you use including how to use it in production.

Continue reading AI Today Podcast: Generative AI Series: Implementing Generative AI in production at Cognilytica.

In this episode of AI Today, hosts Kathleen Walch and Ron Schmelzer explore how artificial intelligence is reshaping the world of art and design. From generative art and music to personalized experiences and collaborative creativity, AI is empowering both professional artists and everyday creators alike.

Tune in to learn how AI is being used to:

• Generate original visual art and music compositions using generative AI tools
• Accelerate design workflows through automation and intelligent suggestions
• Enable style transfer and remixing across artistic genres and media
• Enhance image, audio, and video editing with AI-driven efficiency
• Curate exhibitions, identify themes, and organize creative collections
• Personalize interactive art installations and user-specific experiences
• Support co-creation by acting as an intelligent creative partner

AI is no longer just a tool for technologists—it’s become a dynamic collaborator for the creative class, expanding what's possible in visual, auditory, and interactive media.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Methodology, Waterfall, Agile, CRISP-DM, Cognitive Project Management for AI (CPMAI).

In this episde we explain how these terms relate to AI and why it’s important to know about them. Just about every single industry is using AI in some shape or form to help streamline and improve processes, increase productivity, gain a competitive edge, and stand out from others.

Continue reading AI Today Podcast: AI Glossary Series- methodology, waterfall, Agile, CRISP-DM, Cognitive Project Management for AI (CPMAI) at Cognilytica.

Conversation is a natural form of communication for humans. Therefore, it should come as no surprise that the future will be AI-Native. But what does an “AI-native future” mean? In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer interview Gi Jung Kim who is the CEO and co-founder of Coxwave.

Continue reading AI Today Podcast: Discussing the AI-Native Future: Interview with Gi Jung Kim, CEO & Co-Founder, CoxWave at Cognilytica.

It’s hard to have a conversation about AI these days without the topic of Generative AI coming up. People are using gen AI to help with many things from text creation, image creation, and more. But, just like with any technology, there can be a downside as well. 

However, what happens when we become too reliant on technology?

Continue reading AI Today Podcast: Generative AI Series: How to Avoid Getting Screwed with Generative AI at Cognilytica.

Companies of all sizes in just about every single industry from healthcare to finance to construction are looking to see how Artificial Intelligence (AI), machine learning (ML), and cognitive technology projects can provide a competitive edge. They want to be able to have technology provide efficiencies, and improve ROI in today’s competitive landscape. As a result, this creates tremendous opportunity for people looking to manage these types of projects.

Continue reading AI Today Podcast: AI in Architecture, Engineering, and Construction (AEC): Interview with Sergio Villanueva-Meyer, CPMAI at Cognilytica.

AI systems have the potential to provide great value. But also the potential to cause great harm. Knowing how to build or use AI systems is simply not going to be enough. You need to know how to build, use, and interact with these systems ethically and responsibly. Additionally you need to understand that Trustworthy AI is a spectrum that addresses various aspects relating to societal, systemic, and technical areas.

Continue reading AI Today Podcast: Trustworthy AI Series: Explainable & Interpretable AI at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Black Box, Explainable AI (XAI), Interpretable AI, explain how these terms relate to AI and why it’s important to know about them.

📖 Learn about Black Box Technology 📦: Kathleen and Ron will unravel the mystery behind Black Box technology, explaining its connection to deep learning in the realm of artificial intelligence.

Continue reading AI Today Podcast: AI Glossary Series – Black Box, Explainable AI (XAI), Interpretable AI at Cognilytica.

Companies of all sizes in just about every single industry are looking to see how Artificial Intelligence (AI), machine learning (ML), and cognitive technology projects can be used. They want to see how AI can provide a competitive edge, provide efficiencies, and improve ROI in today’s competitive landscape. As a result, this creates tremendous opportunity for people looking to manage these types of projects.

Continue reading AI Today Podcast: Lessons Learned from AI Project Management: Interview with Jonelle Martinez at Cognilytica.

It’s hard to have a conversation about AI these days without the topic of Generative AI coming up. People are using gen AI to help with many things such as generating content and images. However, just like with any technology there can be a downside as well. In this podcast episode hosts Kathleen Walch and Ron Schmelzer take a deeper look at ge AI.

Continue reading AI Today Podcast: Generative AI Series: The Drawbacks and Challenges of Generative AI at Cognilytica.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define terms related to data. Because, data is the heart of AI. So it’s important to understand the role data plays in AI and ML projects. In this episode we go over the terms data engineer, data engineering, and data pipeline.

Continue reading AI Today Podcast: AI Glossary Series- Data Engineer, Data Engineering, Data Pipeline, Data Wrangling, Data feed, Data Governance, Data integration at Cognilytica.

AI systems have the potential to provide great value. But, also the potential to cause great harm. Knowing how to build or use AI systems is simply not going to be enough. You need to know how to build, use, and interact with these systems ethically and responsibly. Additionally you need to understand that Trustworthy AI is a spectrum.

Continue reading AI Today Podcast: Trustworthy AI Series: Governed AI at Cognilytica.

In this episode of AI Today, hosts Kathleen Walch and Ron Schmelzer explore how artificial intelligence is transforming the field of architecture. From design and material selection to project management and sustainability, AI is enhancing how buildings are envisioned, planned, and delivered.

Listen in as they discuss how AI is being used to:

• Support generative design, helping architects explore innovative and efficient building concepts
• Automate drafting and detailed design tasks to increase speed and accuracy
• Optimize material selection based on cost, durability, aesthetics, and sustainability
• Improve structural analysis and safety by modeling complex environmental variables
• Assist in site planning with data-driven insights on zoning, topography, and climate
• Enhance cost estimation and budget forecasting using real-time and historical data
• Support project management with predictive scheduling, resource allocation, and delay prevention
• Improve energy efficiency and sustainability through simulation and smart design suggestions
• Enhance Building Information Modeling (BIM) with AI-driven clash detection and cost control

Whether you’re an architect, planner, project manager, or tech innovator, this episode showcases how AI is revolutionizing the design and execution of modern architecture.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer delve into the diverse roles and concepts within the data universe: Data Science, Data Scientist, Citizen Data Scientist/Citizen Developer, and Data Custodian.

Data Science isn’t just a buzzword; it’s the art of transforming raw data into meaningful insights. And Data Scientists may be the sexiest job of the 21st Century, but do you know what they do?

Continue reading AI Today Podcast: AI Glossary Series – Data Science, Data Scientist, Citizen Data Scientist / Citizen Developer, Data Custodian at Cognilytica.

It’s hard to have a conversation about AI these days without the topic of Generative AI coming up. People are using generative AI and LLMs to help with many things. But what do these technologies mean at an organizational level? And how do you apply this technology for your organization?

In this podcast episode hosts Kathleen Walch and Ron Schmelzer take a deeper look at generative AI.

Continue reading AI Today Podcast: Generative AI Series: Foundation Models, Fine-Tuning, and Domain-Specific LLMs at Cognilytica.

Analytics are statistical and other methods to gain informational insight from data. Since data is the heart of AI, it makes sense analytics should be understood. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Analytics, Data Visualization, Descriptive Analytics, Diagnostic Analytics, Predictive Analytics, Proscriptive / Projective Analytics.

Continue reading AI Today Podcast: AI Glossary Series – Analytics, Data Visualization, Descriptive Analytics, Diagnostic Analytics, Predictive Analytics, Proscriptive / Projective Analytics at Cognilytica.