In the final episode of Series 1 of The Learning Kerv Podcast, we explore the cutting-edge topic of agentic AI with returning guest Will Dorrington, CTO of Kerv's transformation practice. Joined by host Rufus Grig, Will will dive deep into the evolution from generative AI to agentic AI, discussing its potential to revolutionize both digital and physical worlds through autonomous decision-making and action.

Whether you're an AI enthusiast, a business leader, or simply curious about the future of AI, this episode offers a comprehensive look at how agentic AI is set to transform industries and everyday life.

Key Highlights:

• Understanding Agentic AI: Rufus and Will discuss what sets agentic AI apart from generative AI, including its ability to plan, decide, and act autonomously to achieve goals with minimal human input. Gain insights into the tools and skills needed to develop agentic AI, including the role of no-code platforms and the importance of understanding business processes.

• Real-World Applications: Learn about practical examples of agentic AI, from automating IT system checks and updates to managing complex travel bookings, showcasing its potential to handle tedious tasks and enhance efficiency.

• Business Implications: Explore how agentic AI can assist in business decision-making, optimise workforce scheduling, and handle customer service complaints, all while maintaining human oversight for high-stakes decisions.

• Ethical Considerations: Delve into the ethical implications of deploying agentic AI, including the need for thorough testing, continuous monitoring, and adherence to regulations like the EU AI Act.

• Future Outlook: Rufus and Will make predictions for the future of agentic AI, from its adoption and maturity in the coming years to the potential for fully autonomous organisations.

  
  

Tune in to this episode of The Learning Kerv to hear expert insights from Will Dorrington and gain a deeper understanding of the transformative power of agentic AI.

Thank you for joining us on this journey through Series 1, and we look forward to bringing you more exciting discussions in the future! Look out for Series 2 ✨

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In this episode, we delve into the practical applications of generative AI with real-world examples from industry experts. Host Rufus Grigg is joined by special guests Kyle Ansari, David Groves, and Dawn Kelso, who share their experiences in deploying AI systems that are operational and impactful.

Whether you're a tech enthusiast, a business leader, or juat curious about the practical uses of AI, this episode provides valuable insights into how AI is transforming industries and solving complex problems.

Key Highlights:

• Operational AI in Compliance:

  Understand how Kerv's product, Compliance Cloud, uses generative AI to manage and analyse alarms in a cloud-based voice recording solution for banks. Learn how AI reduced false positives and operational workload by 97%, enhancing efficiency and accuracy.
  

• AI in Customer Service:

  Explore how generative AI is used to provide multilingual customer service in contact centres. Discover the challenges and solutions in implementing automated translation for various communication channels, enabling businesses to expand into new markets without the need for extensive multilingual staff.
  

• Data Quality and AI:

  Delve into the importance of data quality in AI applications. Understand the critical role of accurate, relevant, and compliant data in ensuring effective AI outcomes. Learn about the challenges of managing diverse data sources and the necessity of continuous monitoring and human oversight.

  
  

• Future of Generative AI:

  Explore the potential future applications of generative AI in compliance and other fields. Gain insights into ongoing developments and the importance of ethical considerations in AI deployment.

  
  

Tune in to this episode of The Learning Kerv to hear first-hand accounts of AI in action and gain a deeper understanding of the practicalities and benefits of generative AI in today's technological landscape.

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In this episode, we tackle some of the most pressing questions surrounding the ethical, privacy, and security concerns of AI systems. From safeguarding your personal data to understanding the environmental impact of generative AI, we explore the steps individuals and organisations must take to ensure AI is developed and used responsibly.

Whether you're a tech enthusiast, a data privacy advocate, or someone curious about the future of AI, this episode provides valuable insights on how to navigate the complex landscape of Responsible AI.

Key Highlights:

• Security vs Data Privacy: Why It Matters: Understand the key differences between security (protecting systems from threats) and data privacy (safeguarding personal information). Learn why both are crucial when developing and using AI systems.

• Concerns for Your Private Life: Explore how AI may impact your privacy, from data collection to digital tracking, and what you should be aware of to protect your personal information in an AI-driven world.

• Security Risks in AI: Delve into the major security concerns surrounding AI, including vulnerabilities in AI models, data breaches, and how malicious actors could exploit AI systems.

• Relevant Regulations: Learn about current laws and regulations governing AI, data privacy, and security. We discuss frameworks like GDPR and emerging policies to ensure AI development remains ethical and compliant.

• Addressing AI’s Environmental Impact: Discover the environmental challenges posed by Generative AI, such as high energy consumption and carbon emissions, and explore ways organisations and developers can reduce AI’s ecological footprint.

• Ensuring Adherence to Ethical Guidelines: Find out how organisations and individuals can ensure adherence to responsible AI practices, including transparency, fairness, and bias mitigation, to keep AI systems aligned with ethical standards.

Tune in to this episode on Responsible AI to learn how to navigate the ethical, privacy, and security challenges of AI.

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In this episode, we explore into the transformative power of generative AI in the realm of customer experience. Join us as we discuss the capabilities of AI and how it is reshaping the way businesses interact with their customers.

Key Highlights:

• Key AI Capabilities: Discover the key features of generative AI that make it a game-changer in customer service, from natural language processing to real-time analytics.

• Pre-Interaction AI: Learn how AI enhances customer experiences even before the first interaction, through predictive analytics and personalised recommendations.

• Live Interaction AI: Explore how AI assists during live interactions, providing real-time support to both customers and agents, and improving the efficiency and accuracy of responses.

• Post-Interaction AI: Understand the role of AI in post-interaction processes, such as feedback analysis, sentiment analysis, and continuous improvement of customer service strategies.

• Compliance and Regulations: Delve into the critical role AI plays in ensuring regulatory compliance in customer interactions, safeguarding data privacy, and maintaining ethical standards.

Whether you’re a CX professional, a tech enthusiast, or just curious about the future of AI, this episode is packed with insights and practical examples of how generative AI is revolutionising customer experience. Tune in to learn how to harness the power of AI to deliver exceptional service and stay ahead in the competitive landscape.

If you want to talk to us further on this, please don't hesitate to contact us: Contact Us for Inquiries, Support, and Business Collaboration | Kerv

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Welcome to Episode 2 of Learning Kerv, How Gen AI is Reshaping our World with host Rufus Grig and special guest, Will Dorrington.

In this episode, we dive into Generative AI, what it is, what it means and how it is reshaping our world. Join us as Rufus and Will discuss the different between AI and Gen AI and how it can be applied to all areas of life.

Key Highlights

• Gen AI Definition: What is Gen AI? Learn what makes Gen AI different from classic AI and what this means for how you use it.

• Gen AI Capabilities: What are the key capabilities of Gen AI in the world? Discover the defining use cases for Gen AI, from business to at home use, from behind the scenes to front of house.

• Large Language Models: What is a large language model? Discover how these AI powerhouses, trained on vast amounts of internet data, learn the complexities and nuances of natural language to generate human-like responses. From tokenization and vectorization to attention mechanisms and reinforcement learning, this transcript breaks down the intricate processes that make LLMs tick.

• Strengths and Limitations of Gen AI: Understand the capabilities of AI in generating coherent and structured content, and learn about its limitations, such as outdated information and hallucinations. Understand what AI hallucinations are and how you can use Gen AI to create content in the real world.

• What is next in Gen A?I: Learn about exciting advancements and future potential of agentic AI and understand how AI is evolving from reactive models to ones that take initiative, anticipate needs, and autonomously solve problems.

Whether you use Gen AI for work, play or unknowingly in your everyday life, this episode is packed with insights and practical examples of how generative AI is reshaping our world and adapting to create more accurate and trustworthy content. Tune in to learn how Gen AI works, how to leverage the technology and what to be cautious of when using it!

Learning Kerv is a podcast series of content to help coach IT leaders / decision makers through challenges in the world of generative AI. Talking about adoption / change and looming skills / knowledge gap on various applications across various industries.

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In this episode, our host Rufus Grig, along with William Dorrington, CTO of Kerv's digital transformation practice, Kerv Digital, Microsoft most valued professional, and a general all-round genius in the world of business technology, as our special guest.

Key highlights:

• What is Artificial Intelligence (AI) and Machine Learning (ML)? Understand the basics of AI & ML and how machines can mimic human intelligence to perform tasks like decision-making and pattern recognition and why ML is essential to modern AI systems.

• Applications of ML: Explore real-world examples of Machine Learning in action, from personalised recommendations to autonomous vehicles and healthcare solutions.

• Difference between Model and Algorithm: Learn the distinction between algorithms (instructions for solving problems) and models (the outcome of training a model to make predictions).

• Labelled vs Unlabelled Data: Find out how labelled and unlabelled data play a role in supervised and unsupervised learning, and why they’re critical to training AI models.

• Training vs Inference: Understand the phases of training a machine learning model and how it uses what it learned to make predictions on new data during inference.

• How AI Recognises Images/Text/Sound: Discover the technology behind AI’s ability to recognise images, transcribe speech, and process text.

• Role of a Data Scientist: Gain insight into the role of a data scientist in building AI models, analysing data, and turning insights into actionable outcomes for businesses.

Join us as we explore the fundamentals of AI and discuss its transformative potential. Don't miss out on this insightful conversation! If you want to talk to us further on this, please don't hesitate to contact us: Contact Us for Inquiries, Support, and Business Collaboration | Kerv

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