Are You Ready for the Rise of Agentic AI Workforce?
Are Agentic AI systems the next big leap in business technology? Christina Stathopoulos (Dare to Data) and Jeff DeVerter discuss the real-world impact on 'Tech Transformed.' From data infrastructure to ethical dilemmas and workforce transformation, this episode answers critical questions for CIOs facing the AI revolution. What are the practical steps to prepare your organisation? Tune in to find out.
--------
24:00
How to Prepare for AI Agents at Work
From the integrities of the human workforce embracing enhancing soft skills over hard skills in the enterprise tech space to the adoption of artificial intelligence (AI) agents in customer service, this conversation covers it all. In this episode of the Tech Transformed podcast, Shubhangi Dua speaks with Nikhil Nandagopal, co-founder and CPO of Appsmith, about the metamorphological impact of AI agents in the workplace. He particularly emphasises the need for organisations to hone in on the advancing capabilities of agentic AI while still maintaining a focus on human collaboration and security. TakeawaysAI agents are autonomous entities designed to achieve specific goals.The centralisation of data through AI agents simplifies workflows.Conversational interfaces are becoming the norm for accessing information.Humans remain integral to AI workflows, acting as moderators.Job roles will evolve, requiring new skills and adaptability.Critical thinking is essential when interacting with AI outputs.Cybersecurity is a major concern with centralised AI systems.Self-hosting AI solutions can mitigate cybersecurity risks.The future of work will reward soft skills over hard skillsChapters00:00 Introduction to AI Agents and Their Impact03:34 The Shift Towards Conversational Interfaces05:07 Assisted Workflows and Human-AI Collaboration10:05 Job Market Evolution in the Age of AI13:23 Critical Thinking in the Age of AI15:29 Cybersecurity Concerns with AI20:31 Preparing for Cyber Threats in AI Systems22:51 The Future of AI Agents in the Workplace
--------
21:49
Agentic AI Driving the Future of Customer Experience
In this episode of the Tech Transformed Podcast, Jon Arnold, Principal of J Arnold Associates speaks with Nikola Mrksic, CEO of PolyAI, discussing all things AI, specifically in contact centres. From the benefits of automation to the emergence of the most trending subject of the year – Agentic AI.Mrksic particularly spotlights some underutilised capabilities of AI such as how it can manage up to 90% of repetitive duties, allowing human agents to concentrate on other complex tasks. The conversation also explores the transition from basic service to a broader, more holistic customer experience, necessitating the need for rapid adaptation and experimentation.AI in contact centers isn't just about cutting costs. This conversation shows how it can truly make a difference – giving agents the tools to shine, providing customers with better, more quality experiences, and even letting AI take care of tasks behind the scenes securely, so humans can focus on what truly matters.TakeawaysAI is a dominant force shaping technology today.Contact centers have a high volume of repetitive tasks suitable for AI.AI can automate up to 90% of tasks in contact centers.The role of AI is not just cost-cutting but improving service quality.Agentic AI can perform tasks on behalf of users asynchronously.Customer experience is now a key focus beyond just service.Companies must adapt quickly to avoid falling behind competitors.Failing fast and experimenting is crucial for success with AI.AI can provide insights that traditional methods miss.Investing in AI should be about solving problems, not just keeping up with trends.Chapters00:00 Introduction to AI in Contact Centers02:01 Benefits of AI in Contact Centers07:37 Transforming Customer Experience with AI15:42 Understanding Agentic AI21:27 The Shift from Customer Service to Customer Experience30:25 Advice for Business and CX Leaders
--------
38:20
Real-Time AI: The Next Evolution of Enterprise Intelligence
The world is changing faster than ever. Businesses are drowning in data, yet struggling to extract the insights they need to stay ahead. Artificial intelligence (AI) holds the key, but traditional AI models are too slow, too static, and too disconnected from the real world. This is where real-time AI comes in. Real-time AI empowers businesses to make decisions in milliseconds, reacting to changing conditions and seizing fleeting opportunities. It's about more than just analysing historical data; it's about understanding the present and predicting the future, all in the blink of an eye.Imagine a world where customer service agents have access to the most up-to-the-minute information, resolving issues before they escalate. Envision supply chains that dynamically adjust to disruptions, ensuring products are always available. Envision marketing campaigns that personalise experiences in real time, maximising engagement and driving conversions. But real-time AI isn't just about speed; it's also about accuracy. The time to embrace real-time AI is now. Businesses that fail to adapt risk falling behind in an increasingly competitive world. By harnessing the power of real-time data and intelligent agents, enterprises can tap into new levels of performance, innovation, and growth. In this episode, Shubhangi Dua, an editor and tech journalist at EM360Tech, speaks to Madhukar Kumar, the Chief Marketing Officer at SingleStore, about the transformative potential of real-time AI for enterprises.TakeawaysReal-time AI is essential for modern enterprises.The evolution from generative AI to real-time AI is significant.Data accuracy and freshness are critical for AI success.AI agents will collaborate to enhance business processes.Enterprises must manage data silos to improve efficiency.Smaller companies can leverage AI to create innovative solutions.Data governance is crucial for protecting sensitive information.Real-time AI can significantly improve user experience.AI will enable professionals to focus on higher-value tasks.Harnessing data effectively will be a key differentiator for businesses.Chapters00:00 Introduction to Real-Time AI and Its Importance03:03 The Evolution of AI: From Generative to Real-Time05:54 Real-Time AI in Enterprises: Advantages and Examples11:01 The Future of AI Agents and Their Collaboration16:47 Preparing Enterprises for AI: Data Management and Security20:47 Business Advantages of Real-Time AI and Future Opportunities
--------
26:42
From Monitoring to Observability: An AI-Powered Transformation
In this conversation, Ryan Worobel shares his extensive experience in the technology sector, discussing the evolution from traditional monitoring to observability. He highlights the cultural and technical challenges organizations face during this transition, emphasizing the importance of collaboration and data management. Ryan also explores the role of AI in enhancing IT operations, advocating for a balance between automation and human expertise. He provides insights on implementing AI in organizations, the risks and opportunities associated with it, and the necessity of understanding company culture for successful adoption.Key TakeawaysObservability requires a cultural shift towards collaboration.Data management is crucial to avoid overwhelming teams.AI is transforming IT from reactive to proactive approaches.Organizations must start small when implementing AI.Understanding company culture is key to AI adoption.Uptime is essential; downtime is no longer acceptable.AI should supplement human expertise, not replace it.Effective data sorting can reduce noise in decision-making.Innovation is necessary to maintain a competitive edge.Organizations need to establish governance around AI usage.Chapters00:00 Introduction to Ryan Worobel and His Journey07:37 Proactive vs Reactive Approaches in IT13:31 Implementing AI in Organizations19:31 Conclusion and How to Connect with Ryan
Expert-driven insights and practical strategies for navigating the future of AI and emerging technologies in business.
Led by an ensemble cast of expert interviewers offering in-depth analysis and practical advice to make informed decisions for your enterprise.
México