Tech Transformed

• AI Agents: The Rise of the Autonomous

  Takeaways#AIagents are #autonomous entities that can perceive and act.Human oversight is essential in the initial stages of AI implementation.Data quality and trust are critical for effective AI agents.Guardrails must be integrated into the design of AI agents.Modularity in design allows for flexibility and adaptability.#AI should be embedded in data management processes.Collaboration between data and application teams is vital.SummaryIn this episode of #TechTransformed, Kevin Petrie, VP of Research at BARC, and Ann Maya, EMEA CTO at Boomi, discuss the transformative potential of AI agents and intelligent automation in business. They explore the definition of agents, their role in automating processes, and the importance of human oversight. Maya introduces us into the world of AI agents stating that, at its core, it’s an autonomous entity within #AIsystems that can perceive its environment. This creates a deep dive into how they evolved from traditional automation to “observe, think, and act” in novel and autonomous ways.Maya addresses AI skepticism by acknowledging its growing autonomy while underscoring the current necessity of human oversight. She also highlights data's crucial influence on an agent's perception and decisions, emphasising the need for quality, trustworthy data in effective AI. Moreover, Maya and Petrie explore AI's practical implications, pointing to Google's agent-to-agent protocol as vital for managing language model interactions and enabling effective communication across diverse agents within complex systems.For the latest tech insights visit: EM360Tech.com

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• How AI Agents Are Changing Enterprise Cloud Development

  "If AI has proven anything, it will change pretty rapidly. Understanding its limitations and not asking too much of it is significant. What’s successful is prototyping tools," said Rob Whiteley, CEO of Coder. "Such tools where AI can create an application, while not the world's most graceful code but will get you to working prototype pretty quickly. That would probably take me days or weeks of research as a developer, but now I have a working prototype so I can socialise it."In this episode of the Tech Transformed podcast, Dana Gardner, a thought leader, speaks with Rob Whiteley, CEO of Coder, about the transformative impact of agentic AI on software development. They discuss how AI is changing the roles of developers, the cultural shifts required in development teams, and the integration of AI agents in cloud development environments.Agentic AI is seemingly set up for favourable outcomes. Or is it? Agentic AI is believed to shake-up enterprise IT, offering a productivity boost similar to the iPhone's impact. This isn't about replacing developers but amplifying their output tenfold. It aims to allow the implementation of rapidly created solutions and iteration that has been unimaginable in the past. This shift requires valuing "soft skills" like communication and collaboration over pure coding proficiency, as developers guide AI "pair programmers."The synergy of AI agents, human intellect, and Cloud Development Environments (CDEs) is key. CDEs provide secure, governed, and scalable platforms for this collaboration, allowing developers to focus on business logic and innovation while AI handles the coding groundwork. This requires a move from rigid "gates" in development processes to flexible "guardrails" within CDEs. Such a move fosters innovation with built-in control and security.Flexibility and choice are vital in this constantly advancing AI space. CDEs enable organisations to select the best AI agents for specific tasks, avoiding vendor lock-in by expressing the development environment as code. This leads to practical applications like faster prototyping, enhanced code development, and automated testing, significantly boosting code output. Furthermore, agentic AI democratises development, empowering non-engineers to build solutions.Preparing for this future requires proactive experimentation through AI labs, engaging early adopters, and viewing AI as an augmentation of human skills. Watch the podcast for more insights on CDEs and the impact of AI agents on enterprise cloud development. TakeawaysAgentic AI is a transformative technology for software development.The role of developers is shifting from hard skills to soft skills.AI agents can significantly increase productivity in coding tasks.Organizations need to rethink their development strategies to integrate AI.Cloud development environments are essential for safely using AI agents.Choosing the right AI agent is crucial for effective development.Security and governance are critical when integrating AI into development.AI can empower non-developers to create applications.Guardrails are more effective than gates in managing AI development.Organisations should experiment with AI to find the best fit for their needs.Chapters00:00 Introduction to Agentic AI and Developer Roles03:20 Transformative Impact of AI on Development06:50 Cultural Shifts in Development Teams10:30 Integrating AI Agents in Cloud Development Environments12:49 Choosing the Right AI Agents15:21 Security and Governance in AI...

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• Customer Success: Your Revenue Compass in the AI Storm

  Takeaways#Customersuccess is about helping customers get value from products.The perception of customer success is shifting from a cost centre to a revenue generator.#AI can enhance customer success by providing predictive insights and automating processes.Customer success teams are uniquely positioned to identify upsell and cross-sell opportunities.Collaboration between customer success and sales teams is essential for maximising revenue.The integration of AI tools can streamline customer success operations.SummaryEver wonder how to transform existing customers into your company’s most powerful growth engine? According to Gainsight’s Chief Revenue Officer, Marilee Bear, it starts with one deceptively simple principle: “helping customers get value from your product.” This #TechTransformed episode features Christina Stathopoulos, Founder of Dare to Data, in conversation with Marilee about the dynamic role of customer success – a powerful avenue for building deeper customer bonds, boosting retention rates, and ultimately achieving significant revenue gains.Tune in to learn how to unlock the potential of customer success as a catalyst for cross-selling and upselling opportunities. Explore how to equip your customer success teams with commercial acumen and harness their potential as a secret weapon for business growth.Whether you're a #CRO looking to optimise revenue or a business leader navigating the AI revolution, this episode offers invaluable insights into the future of customer success.For the latest tech insights visit: EM360Tech.com

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  19:09
• Are You Ready for the Rise of Agentic AI Workforce?

  Takeaways#AgenticAI systems can string tasks together for efficiency.Real-world applications include supply chain optimisation and knowledge worker augmentation.#Dataquality is crucial for effective AI implementation.Education and understanding of AI's potential are essential for organisations.Governance is key to ethical AI deployment.Leadership is critical in adopting AI technologies.AI will create new job opportunities, not just displace existing ones.SummaryJeff DeVerter, Field Chief Technology Officer at Pythian, describes agentic AI as “little workers that are going to go off and all do a job. You're now a manager of these AIs that are going to go off and do some work and come back and give you that work product.”In this episode of the #TechTransformed podcast, Christina Stathopoulos, Founder at Dare to Data, and Jeff DeVerter explore this concept, revealing how agentic systems are re-shaping real-world business scenarios. Imagine these agentic AIs as powerful “personal assistants” when empowering leaders to manage data, streamline workflows and drive commercial acumen. The discussion goes beyond the possibilities addressing how to prepare your data infrastructure, navigate ethical considerations, and understand AI’s impact on employees, delivering crucial takeaways for CIOs.For the latest tech insights visit: EM360Tech.com

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  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

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