AI Today Podcast – Détails, épisodes et analyse

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.