Techsplainers by IBM

IBM

Introducing the Techsplainers by IBM podcast, your new podcast for quick, powerful takes on today’s most important AI and tech topics. Each episode brings you bite-sized learning designed to fit your day, whether you’re driving, exercising, or just curious for something new. This is just the beginning. Tune in every weekday at 6 AM ET for fresh insights, new voices, and smarter learning. Visit podcast page: https://www.ibm.com/think/podcasts/techsplainers

  1. 19小時前

    Better customer service with AI agents

    This episode of Techsplainers explores how AI agents are changing customer service by moving beyond simple question answering into autonomous, goal-oriented support. It explains what makes AI agents different from standard chatbots and assistants, including their ability to retain memory, reason across multiple steps, use external tools and take action within connected systems. The episode follows how these agentic systems work in real customer service environments, from handling customer queries and retrieving knowledge base content to managing order tracking, identifying sentiment, summarizing conversations and automating administrative tasks. It also looks at how networks of specialized agents can work together across workflows to speed up service resolution and improve continuity across channels. Along the way, the discussion connects AI agents to the broader customer experience themes explored earlier in the week, including onboarding, response time and personalized support. Real-world examples such as Camping World and Avid Solutions show how agentic systems can improve engagement, reduce delays and streamline customer-facing operations. The episode also highlights four best practices for deployment: aligning agents with service strategy, equipping them with the right data and tools, integrating them into enterprise systems and helping human teams build the skills to work effectively alongside them. Find more information at https://www.ibm.com/think/topics/ai-agents-in-customer-service Find more episodes: https://www.ibm.biz/techsplainers-podcast Narrated by Amanda Downie

    Better customer service with AI agents
  2. 1日前

    Accelerating customer service response time with AI

    This episode of Techsplainers explores how artificial intelligence helps companies accelerate customer service response times across chat, email, social platforms and support portals. It explains why first response time is such an important measure of the support experience and how delayed replies can quickly affect customer trust, satisfaction and retention. The episode looks at both traditional and AI-enabled approaches to faster service, from knowledge bases and service level agreements to chatbots, automated first replies and intelligent self-service. It also examines how AI can classify incoming requests, detect customer intent, route tickets to the right team, assist agents with suggested responses and summarize conversations during handoffs. As the discussion moves into more advanced use cases, it covers workflow automation and agentic AI systems that can complete service tasks across multiple tools, reducing the time between a customer request and actual resolution. Along the way, the episode highlights the broader business benefits of AI-supported response acceleration, including improved availability, stronger customer satisfaction, increased support capacity, more consistent service and lower operational costs. Find more information at https://www.ibm.com/think/insights/accelerate-customer-service-response-time-ai Find more episodes: https://www.ibm.biz/techsplainers-podcast Narrated by Amanda Downie

    Accelerating customer service response time with AI
  3. 2日前

    Accelerate the customer onboarding process with AI

    "This episode of Techsplainers explores how artificial intelligence can speed up and improve the customer onboarding process, helping organizations move new customers from sign-up to success with less friction and more relevance. It explains how AI supports onboarding through intelligent automation, real-time personalization, conversational assistance and data-driven insights. The episode follows the onboarding journey step by step, showing how AI can simplify account creation, showing how AI can simplify account creation, tailor welcome messages, guide setup and configuration, support early product adoption and monitor engagement for signs of risk. It also looks at how onboarding teams can use AI to identify bottlenecks, improve activation rates and refine the process over time using measurable performance data. Along the way, the discussion highlights the broader benefits of AI-enabled onboarding, including faster time to value, improved customer satisfaction, stronger retention and greater operational efficiency. It also emphasizes an important limit: AI works best when it enhances a clear customer journey rather than trying to fix a broken one. For organizations trying to scale while keeping the experience personal, AI offers a way to make onboarding more consistent, more adaptive and more effective from the very beginning. Find more information at https://www.ibm.com/think/insights/using-ai-to-accelerate-customer-onboarding-process Find more episodes: https://www.ibm.biz/techsplainers-podcast Narrated by Amanda Downie

    Accelerate the customer onboarding process with AI
  4. 3日前

    AI in the Customer Experience (CX)

    This episode of Techsplainers explores how AI is changing customer experience across the full customer journey, from product recommendations and virtual assistants to omnichannel support and virtual assistants to omnichannel support and real-time personalization. It explains how technologies like machine learning, natural language processing, predictive analytics and automation help businesses analyze customer behavior, respond faster and create more relevant interactions at scale. The episode follows the role AI plays behind the scenes, showing how companies can use it to connect touchpoints, improve CRM systems and better understand customer sentiment across reviews, chats and social channels. It also looks at the practical upside: improved efficiency, stronger personalization and more timely support. At the same time, it addresses the real challenges. Businesses still need to balance automation with empathy, connect AI tools to existing systems without adding friction, and build customer trust through transparency and reliable performance. Real-world examples from Wimbledon, Starbucks, Boots UK and Amazon help show how different organizations are applying AI to customer engagement today, while future trends point toward more immersive experiences, conversation intelligence and growing attention to AI ethics. Find more information at https://www.ibm.com/think/topics/ai-customer-experience Find more episodes: https://www.ibm.biz/techsplainers-podcast Narrated by Amanda Downie

    AI in the Customer Experience (CX)

關於

Introducing the Techsplainers by IBM podcast, your new podcast for quick, powerful takes on today’s most important AI and tech topics. Each episode brings you bite-sized learning designed to fit your day, whether you’re driving, exercising, or just curious for something new. This is just the beginning. Tune in every weekday at 6 AM ET for fresh insights, new voices, and smarter learning. Visit podcast page: https://www.ibm.com/think/podcasts/techsplainers

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