Tech Transformed podcast

40:34

We’ve turned intuition into a buzzword—flattened it into a slogan, a gut feeling, or a vague whisper we don’t always know how to hear. But what if intuition is so much more? What if it's one of the most powerful tools we have—and we’ve just forgotten how to use it? In this episode, I’m joined by Hrund Gunnsteinsdóttir , Icelandic thought leader, filmmaker, and author of InnSæi: Icelandic Wisdom for Turbulent Times . Hrund has spent over 20 years studying and teaching the science and art of intuition through her TED Talk, Netflix documentary (InnSæi: The Power of Intuition), and global work on leadership, innovation, and inner knowing. Together, we explore what intuition really is (hint: not woo-woo), how to cultivate it in a culture obsessed with logic and overthinking, and why your ability to listen to yourself might be the most essential skill you can develop. In This Episode, We Cover: ✅ Why we’ve misunderstood intuition—and how to reclaim it ✅ Practical ways to strengthen your intuitive muscle ✅ What Icelandic wisdom teaches us about inner knowing ✅ How to use intuition during uncertainty and decision-making ✅ Why trusting yourself is an act of rebellion (and power) Intuition isn’t magic—it’s a deep, internal guidance system that already exists inside you. The question is: are you listening? Connect with Hrund: Website: www.hrundgunnsteinsdottir.com TedTalk: https://www.ted.com/talks/hrund_gunnsteinsdottir_listen_to_your_intuition_it_can_help_you_navigate_the_future?utm_campaign=tedspread&utm_medium=referral&utm_source=tedcomshare Newsletter: https://hrundgunnsteinsdottir.com/blog/ LI: www.linkedin.com/in/hrundgunnsteinsdottir IG: https://www.instagram.com/hrundgunnsteinsdottir/ Book: InnSæi: Icelandic Wisdom for Turbulent Times Related Podcast Episodes: How To Breathe: Breathwork, Intuition and Flow State with Francesca Sipma | 267 VI4P - Know Who You Are (Chapter 4) Gentleness: Cultivating Compassion for Yourself and Others with Courtney Carver | 282 Share the Love: If you found this episode insightful, please share it with a friend, tag us on social media, and leave a review on your favorite podcast platform! 🔗 Subscribe & Review: Apple Podcasts | Spotify | Amazon Music Learn more about your ad choices. Visit megaphone.fm/adchoices…

Tech Transformed

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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.

300 episodes

#MBA #Business #News #Tech #Tech News #EM360Tech

Tech Transformed

updated 9 days ago

Series home•Feed

300 episodes

#MBA #Business #News #Tech #Tech News #EM360Tech

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Tech Transformed

1
Who Speaks for the Algorithm? The Emerging Role of the AI Analyst 30:29

9 days ago30:29

30:29

Takeaways #AI #analysts are crucial for integrating AI into business processes. Organisations need to rethink their data management strategies for AI. AI #data clearinghouse concepts help manage data access and security. Cross-functional collaboration is essential for successful AI integration. AI can enhance employee effectiveness rather than replace jobs. The future of work will see AI analysts in various business functions. Companies must adapt quickly to remain competitive in the AI landscape. Summary This episode of the # TechTransformedPodcast explores the role of AI Analysts. Host Keyari Page is joined by guest speaker Andy MacMillan, CEO of Alteryx. We learn that the term AI Analyst refers to an emerging role of #professionals who help organisations rethink their processes, workflows, and employee capabilities through the use of AI. This new role bridges the gap between AI systems and tangible #businessoutcomes. In the podcast, we also cover the importance of managing data for AI through an “AI data clearing house”. This helps business analysts prepare data for AI projects. Through this system, analysts and business owners are able to ensure that compliance and security measures are met. Tune in for insights on how AI is reshaping roles, boosting efficiency, and transforming customer experiences in the evolving business landscape. For more tech insights visit: em360tech.com…

Tech Transformed

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Can AI Eliminate IT Tickets? Exploring the Future of Automated IT 35:06

10 days ago35:06

35:06

"The concept of Zero Ticket IT is that instead of reacting to the ticket and trying to solve the ticket, you go directly to the source of the issue." This statement by Sean Heuer , CEO of Resolve Systems , sets the stage for this episode of the Tech Transformed podcast. Shubhangi Dua , podcast host and producer at EM360Tech, , sits down with Heuer to unpack the ambitious yet achievable vision of Zero Ticket IT and how both agentic AI and intelligent automation are poised to change IT operations. Traditional IT ticketing systems, with their reactive nature and reliance on human intervention, are facing an overdue overhaul. Heuer shares a path towards a more efficient, proactive, and ultimately frictionless IT experience. What is Zero Ticket IT? Zero Ticket IT shifts the focus from reacting to individual tickets to directly addressing the source of the issue. As Heuer explains, a major portion (roughly 70 per cent) of IT tickets originate from employee requests and range from password resets to connectivity problems. Another substantial chunk comes from machine alerts, often leading to "alert storms" where a single underlying issue triggers a cascade of notifications. For instance, imagine an AI-powered conversational interface that can understand an employee's problem. Now this problem can be resolved using a vast knowledge base and service catalog. "There's no reason for a human to intervene if you locked your account. If you need to reset your password. There's no reason for a human to have to handle that. It should happen instantaneously," Heuer elaborates. This self-service approach immediately reduces ticket volume by a significant margin. AI Automation to Resolve Substantial IT Requests Automation can also solve challenges head-on by integrating AI operations (AIOps) solutions to analyse countless machine alerts, thereby identifying correlations and spotting the root cause. "Instead of getting a thousand incidents you have to manage, you get one incident," Heuer states, allowing for precise and rapid resolution. Heuer highlights that by implementing these two layers — direct interfaces for employees and intelligent automation for machine alerts — organisations can achieve a 60 per cent to 70 per cent reduction in total ticket volume.. Some Resolve Systems customers have even seen up to an 80 per cent reduction, with Heuer noting: "We have a telco customer that's gotten to 80 per cent reduction of incidents in their network and infrastructure. We have a retail company that has gotten to 75 per cent reduction. Auto-remediation is the solution for all employee requests." Heuer envisions a future where the core role of an IT technician evolves from reactive ticket-solving to proactively managing and optimizing AI and automation systems. The focus will be on identifying patterns, improving knowledge articles, and developing new automations. The Resolve System CEO said that IT organisations must shift their focus from traditional metrics like agent utilisation and first-touch resolution to employee productivity and digital employee experience. Forrester Research suggests that for every 1,000 employees, companies can lose $1.5 million to $3 million in productivity due to IT-related downtime. "IT's job isn't to work tickets. Its job is to make the business productive, to keep it productive," Heuer says. "Start now. Stop waiting, stop with the FUD, stop with the experimenting. Instead, apply AI to a problem. This is real. This isn't a future fantasy world but it’s something you could do today, right now,” the CEO added. To learn more about Resolve Systems and their work in this space, visit resolve.io and follow them on social media: Resolve Systems LinkedIn and Resolve Systems YouTube . Takeaways Zero Ticket IT aims to solve IT issues at the source. Agentic AI can significantly reduce ticket volume. The focus of IT should shift from ticket management to employee productivity. AI can help eliminate human error in IT operations. Education and transparency are crucial for building trust in AI. Employee experience directly impacts productivity and engagement. IT organisations should measure success through employee productivity metrics. Automation can lead to significant cost savings for businesses. The future of IT roles will involve managing AI and automation. AI's impact on the workforce raises important economic questions. Chapters 00:00 Introduction to Zero Ticket IT 06:52 Understanding Agentic AI and Automation 13:50 Shifting Focus: From Tickets to Employee Productivity 18:55 Challenges and Trust in AI 26:00 Future Skills for IT Teams 30:59 The Future of Work and AI About Resolve Systems Resolve is redefining IT and network operations with an agentic automation and orchestration platform built for a Zero Ticket future. Our AI agents don’t just assist—they autonomously detect, diagnose, and resolve incidents before they impact the business. By transforming reactive, manual workflows into proactive, self-healing systems, Resolve slashes ticket and alert noise by up to 90 per cent, reduces MTTR from hours to minutes, and empowers IT teams to scale without increasing headcount. Trusted by some of the largest global enterprises, Resolve empowers IT teams to move from reactive firefighting to proactive transformation. Learn more at resolve.io…

Tech Transformed

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Can Old Hardware Run New AI? How Businesses Can Make Current Hardware Future-Forward 36:24

11 days ago36:24

36:24

Are you a CIO, CTO, CISO, or IT decision maker in the restaurant or retail industry, grappling with rising costs and tariffs to keep up with the rapid pace of technological change? The pressure to create high-quality solutions with AI while managing existing infrastructure can be challenging. In this episode of the Tech Transformed Podcast , Shubhangi Dua, podcast host and producer at EM360Tech sits down with Keith Szot, SVP Chief Evangelist at Esper , to talk about how enterprises can extend the lifespan of their current edge devices. They also discuss how such enterprises can easily integrate Edge AI solutions without a complete hardware overhaul. "Starting out with IT Ops is a tough endeavor. If you are running revenue producing key business operating systems that are out in the field, it's not an easy job,” stated Szot . “With everything that's going on these days, it's not getting any easier. Now, considering tariffs, the impact of AI in terms of how you look at your hardware refresh cycle, it's really tough.” ‘Android is the key’ Specifically alluding to edge devices in restaurant and retail, Szot reflecting on the limitations of traditional operating systems says Android is the key. "If you look at the ISV and the solution provider community, the best and latest solutions for these markets are built on Android.” “You look at enterprise developers, if you're developing in-house, arguably it's a lot easier to find an Android developer and build a team to focus on creating Android applications than it is in Windows,” he added. “Android is the biggest developer ecosystem in the world in the history of humankind. Unlike operating systems tied to rapid consumer hardware upgrades, Android offers the flexibility of an open-source project. It allows for greater control over updates and longevity. Szot believes that the Android UX is more intuitive. He says that people use phones all the time. “And even if you're an iOS user, the paradigm, if you go to Android, still has a familiarity where the bar to understand how to use the software in the device arguably is lower." This minimises training needs and improves operational efficiency. In a nutshell, the conversation touches on extending hardware lifecycles for edge devices in the restaurant and retail industry, primarily through the Android flip, to enable the integration of AI at the edge and prepare for future trends like robotics and 5G. Key Takeaways Extending hardware lifecycles is crucial for cost management. Android is becoming the preferred OS for enterprise solutions. AI can enhance customer experiences in retail environments. Robust hardware design is essential for longevity. Transitioning from Windows to Android can save costs. Edge AI allows for on-premise processing without latency issues. Physical AI will revolutionize the retail and restaurant sectors. Quantum computing poses both opportunities and challenges for security. Device management is key to maintaining operational efficiency. Innovative hardware designs will create new customer experiences. Chapters 00:00 Introduction to Edge Devices and AI 03:12 Extending Hardware Lifecycles in Retail 06:06 Transitioning from Windows to Android 08:56 Practical Applications of Edge AI 11:47 AI Integration in Restaurant Kiosks 14:55 Managing Existing Hardware with Software Solutions 18:01 The Role of Edge AI in Future Technologies 20:51 Physical AI and Robotics in Retail 24:03 Future Trends: Quantum Computing and Device Management 27:07 Innovations in Hardware for Enhanced Experiences 30:14 Key Takeaways for IT Decision Makers About Esper Founded in 2017, Esper is a company known for its modern device management platform, going beyond traditional MDM to power exceptional device experiences with a focus on automation. They aim to redefine how businesses manage their company-managed hardware, particularly Android devices, driving towards a DevOps future. Esper's core offerings provide advanced automation and unmatched operational efficiency, eliminating re-provisioning and enabling exception-based management. Their powerful and scalable platform features kiosk mode, remote control, software deployment, and device grouping, with tailored industry solutions for sectors like healthcare, retail, hospitality, and logistics. They also maintain strong partnerships with key players such as Zebra, Lenovo, and Intel.…

Tech Transformed

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Can AI Agents Help You Achieve Data Trust and Compliance? 26:04

13 days ago26:04

26:04

The ability to effectively manage and optimise data is key in an organisation today. But with the sheer volume and complexity of enterprise data, traditional methods are struggling to keep up with the change. This is where the agentic AI approach has swooped in to transform how organisations handle their most valuable resource. "The promise of AI and agentic AI is that we're now building very meaningful automation into the platform such that these teams of 10 are now able to basically actually capture all of the metadata about all of the data cataloged across their entire company," stated Corey Keyser, the head of artificial intelligence (AI) at Ataccama . In this episode of the Tech Transformed podcast , Shubhangi Dua, a B2B tech journalist and Podcast host at EM360Tech speaks with Keyser from Ataccama, about agentic AI, data quality, and data governance. They explore how intelligent automation is shaping enterprise data management, the role of AI in improving data quality, and the importance of trust in AI systems. Additionally, Keyser shares significant insights on Ataccama's unique approach to data governance, practical applications of their AI agent, and how they are keeping pace with the constantly changing AI regulations . While the speed and efficiency of AI are undeniable, the question of trust remains. Keyser addressed this directly: "The short answer is you can never fully trust these automations, right? “That's why it's really critical to always have data stewards that we will serve. We will always have data engineers that we will serve. We're just looking to improve their productivity. We always assume that there will be humans in the loop who are verifying the tasks orchestrated by AI agents." Ataccama's One AI Agent exemplifies the practical application of these principles. Keyser added that the AI agent can go and create data quality rules in bulk. “Go through the evaluation and testing of those quality rules in bulk, and then also assign the rules in bulk. Something that would take potentially weeks, can now actually kind of take hours depending on the person." Takeaways Agentic AI is about dynamic planning and semi-autonomous task execution. Data governance involves cataloging and managing organisational data. Data quality assessment is crucial for ensuring high trust in data. AI can significantly speed up the creation of data quality rules. Human oversight is essential in AI-driven automation processes. Atacama's AI agent improves productivity for data management teams. Regulatory compliance is a growing concern for AI applications. User experience is key to successful AI integration in organisations. The relationship between data and AI is symbiotic and essential. Organisations must adapt to evolving AI regulations and standards. Chapters 00:00 Introduction to Agentic AI and Data Governance 02:41 Understanding Data Quality and Governance 06:30 The Role of AI in Data Management 11:14 Practical Applications of One AI Agent 15:46 Differentiating Atacama in the AI Landscape 19:37 Case Studies of Transformation 20:05 Integrating Data Quality and Governance 22:07 Navigating Regulatory Changes 24:19 Enhancing User Experience with AI 25:29 Key Takeaway for CIOs…

Tech Transformed

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Can Open Source Ensure AI Works For Everyone, Not Just The Largest Enterprises? 32:58

20 days ago32:58

32:58

“Before starting a new AI project, it is really worthwhile defining the business priority first,” asserts Joanna Hodgson , the UK and Ireland regional leader at Red Hat . “What specific problem are you trying to solve with AI? Do we need a general purpose AI application or would a more focused model be better? How will we manage security, compliance and governance of that model? This process can help to reveal where AI adoption makes sense and where it doesn't," she added. In this episode of the Tech Transformed podcast, host Shubhangi Dua, podcast producer at EM360Tech speaks with Hodgson, a seasoned business and technical leader with over 25 years of experience at IBM and Red Hat. They talk about the challenges of scaling AI projects, the importance of open source in compliance with GDPR , and the geopolitical aspects of AI innovation. They also discuss the role of small language models (SLMs) in enterprise applications and the collaboration between IBM and Red Hat in advancing AI technology. Joanna emphasises the need for a strategic approach to AI and the importance of data quality for sustainable business practices. While large language models (LLMs) dominate headlines, SLMs offer a cost-effective and efficient alternative for specific tasks. The podcast answers key questions, like ‘how do businesses balance ethical considerations, moral obligations, and even patriotism with the drive for AI advancement?’ Hodgson shares her perspective on how open source can facilitate this balance, ensuring AI works for everyone, not just those with the deepest pockets. Hodgson also provides her vision on the future of AI. It comprises interconnected small AI models, agentic AI , and a world where AI frees up teams to create personal connections and exceptional customer experiences. Takeaways Curiosity is a strength in technology. AI is becoming embedded in existing applications. Regulatory compliance is crucial for AI systems. Open source can enhance trust and transparency. Small language models are efficient for specific tasks. AI should free teams to create personal connections. A strategic AI platform is essential for businesses. Data quality is key for sustainable business success. Collaboration in open source accelerates innovation. AI can be used for both good and bad outcomes. Chapters 00:00 Introduction to the Tech Transform Podcast 01:35 Pivotal Moments in Joanna's Career 05:12 Challenges in Scaling AI Projects 09:15 Open Source and GDPR Compliance 13:11 Regulatory Compliance and Data Security 17:30 Geopolitical Aspects of AI Innovation 22:31 Collaboration Between IBM and Red Hat 23:58 Understanding Small Language Models 29:54 Future Trends in AI and Sustainability About Red Hat Red Hat is a leading provider of enterprise open source solutions, using a community-powered approach to deliver high-performing Linux, hybrid cloud, edge, and Kubernetes technologies. The company is known for Enterprise Linux. They offer a wide range of hybrid cloud platforms and open source technologies—including AI, virtualisation, edge, app development, and automation solutions. The hybrid cloud solutions are built to run their customers’ most important, most complex projects—from the datacenter to clouds to the edge. Their open ecosystem of partners and communities aim to ensure existing investments stay protected, providing unmatched freedom and choices to change, flex, reinvent, or stay the course. What is Open Source Software (OSS)? Open source software (OSS) refers to the source code of software that is relatively liberally available for use, modification, and distribution. The source code knowledge is accessible with few restrictions. Enterprise open source software is supported by a vendor, usually via a subscription fee. For example, the vendor stabilises and quality-assures the software, certifies it works with an ecosystem of hardware and software, secures it and provides technical support. OSS is a driver of collaborative development of AI models, fostering transparency, team-backed innovations. This often results in highly adaptable and cost-effective solutions. The open nature allows for peer review, potentially leading to enhanced security and reliability, making it a cornerstone of modern technology.…

Tech Transformed

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Are Your Field Teams Disaster Ready and Safe? 19:17

26 days ago19:17

19:17

Takeaways #Satellitecommunications are essential for remote field teams. They provide safety and tracking for workers in isolated areas. Disaster preparedness involves proactive planning and communication. User-friendly #technology is crucial for effective utilisation. Reliable communication impacts day-to-day operations positively. Employers show care for employee safety through #satellitetechnology investment. Summary In this episode of #TechTransformed , Jonathan Care discusses the importance of satellite communications for field teams. He is joined by Mark O'Connell, EMEA & Asia Pacific General Manager at Globalstar, and Grace Finn, Senior Account Manager at Peoplesafe. Together, they explore how satellite technology enhances safety, disaster preparedness, and operational efficiency for remote, field workers. We learn the differences between satellite and cell communication. O’Connell emphasises the importance of satellite communication, stating that due to field workers, there is a requirement to not be reliant on cellphone towers. O’Connell further clarifies that field teams who are working remotely, and are away from terrestrial communications, need access to constant communication. Finn also expresses the importance of field worker safety, sharing: “If the unforeseen does happen, they’re protected.” She emphasises that organisations should invest in satellite communications to ensure their teams' wellbeing & security. Tune in to learn the user-friendly aspects of the technology, its features for challenging environments, and the critical role it plays in ensuring reliable communication. For the latest tech insights and content visit: EM360Tech.com…

Tech Transformed

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How Do AI and Observability Redefine Application Performance? 29:08

4 weeks ago29:08

29:08

"Having the insight and being able to stitch together your technical resources and business decisions together, is the prime place where observability can add value to you,” stated Manesh Tailor, EMEA Field CTO at New Relic . In this episode of the Tech Transformed podcast, Kevin Petrie, Vice President of Research at BARC, speaks with Manesh Tailor about the intersection of artificial intelligence (AI) and observability, and how this is positively changing business operations. Tailor emphasises how intelligent observability has changed beyond simple monitoring to provide real-time insights into customer experience and the entire technology stack. This enables informed decisions across engineering, operations, and business domains, directly linking technical performance to strategic business outcomes. He also discusses the different stages observability has been through and where it's leading to now. The current wave, Observability 3.0, takes advantage of AI to predict issues and even enable self-healing systems. New Relic has embraced this two-way street, using AI within its platform. This was in an ambition to help users and "AI monitoring" to track the performance of language models alongside traditional metrics. Such a platform provides a holistic view of system health and the cost implications of AI deployments. Alluding to the management of AI-powered applications, Tailor says collaboration is key between application and data science teams. Not only does it provide real time data but as a result leads to efficient decision making. Futuristically, the speedy proliferation of AI agents has both pros and cons for observability. This is where New Relic comes in. It addresses the challenges by constructing a platform-centric "AI orchestrator" with a growing library of AI-native agents. In essence, as AI-powered applications become increasingly integral to business operations, intelligent observability is no longer optional. Takeaways Observability is crucial for understanding unknowns in systems. AI enhances observability by providing predictive insights. The evolution of observability includes intelligent monitoring. Collaboration between technical and business teams is essential. Cost efficiency is a key focus in modern observability. Real-time data is vital for effective decision-making. Self-healing systems represent the future of observability. AI and observability must work in tandem for success. The complexity of systems is increasing, requiring better tools. Observability is applicable across all organizational levels. Chapters 00:00 Introduction to AI and Observability 03:10 Defining Observability and Its Evolution 05:49 The Role of AI in Observability 08:46 Navigating AI-Driven Applications 11:52 Target Users and Community for Observability 14:57 Collaboration Across Teams 17:55 Challenges and Opportunities in Observability 20:47 The Future of Observability and AI 23:54 Key Takeaways for CIOs and IT Leaders About New Relic The New Relic Intelligent Observability Platform empowers businesses to proactively eliminate disruptions in their digital experiences. As the only AI-enhanced platform that unifies and correlates telemetry data, New Relic provides comprehensive clarity across your entire digital landscape. By processing the optimal data at the right moment, we shift your problem-solving capabilities beyond proactive measures to a predictive stance, maximizing value and controlling expenditures. This is why global enterprises like Adidas Runtastic, American Red Cross, Domino’s, GoTo Group, Ryanair, Topgolf, and William Hill rely on New Relic to fuel innovation, enhance reliability, and deliver outstanding customer experiences that drive growth.…

Tech Transformed

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AI Agents: The Rise of the Autonomous 27:28

5 weeks ago27:28

27:28

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. Summary In 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…

Tech Transformed

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How AI Agents Are Changing Enterprise Cloud Development 35:33

5 weeks ago35:33

35:33

"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. Takeaways Agentic 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. Chapters 00:00 Introduction to Agentic AI and Developer Roles 03:20 Transformative Impact of AI on Development 06:50 Cultural Shifts in Development Teams 10:30 Integrating AI Agents in Cloud Development Environments 12:49 Choosing the Right AI Agents 15:21 Security and Governance in AI Development 17:29 Coder's Role in the AI Development Landscape 20:14 Expanding Development Beyond Traditional Roles 23:27 Guardrails vs. Gates in Development 26:56 Practical Applications of AI in Code Generation 29:58 Acquiring AI Agents for Development 32:34 Preparing for the Future of Development with AI About Coder Coder is a remote-first company with products used by many of the world’s largest enterprises. Coder provides an enterprise platform and open source tools that make it easier than ever to configure, secure, and manage software development environments. Leave hardware limitations behind and welcome accelerated code execution, providing you and your developers with unmatched efficiency and elevated productivity. This enables an organisation to innovate rapidly and maintain a competitive edge.…

Tech Transformed

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Customer Success: Your Revenue Compass in the AI Storm 19:09

6 weeks ago19:09

19:09

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. Summary Ever 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…

Tech Transformed

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Are You Ready for the Rise of Agentic AI Workforce? 24:00

7 weeks ago24:00

24:00

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. Summary Jeff 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…

Tech Transformed

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How to Prepare for AI Agents at Work 21:49

8 weeks ago21:49

21:49

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. Takeaways AI 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 skills Chapters 00:00 Introduction to AI Agents and Their Impact 03:34 The Shift Towards Conversational Interfaces 05:07 Assisted Workflows and Human-AI Collaboration 10:05 Job Market Evolution in the Age of AI 13:23 Critical Thinking in the Age of AI 15:29 Cybersecurity Concerns with AI 20:31 Preparing for Cyber Threats in AI Systems 22:51 The Future of AI Agents in the Workplace…

Tech Transformed

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Agentic AI Driving the Future of Customer Experience 38:20

11 weeks ago38:20

38:20

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. Takeaways AI 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. Chapters 00:00 Introduction to AI in Contact Centers 02:01 Benefits of AI in Contact Centers 07:37 Transforming Customer Experience with AI 15:42 Understanding Agentic AI 21:27 The Shift from Customer Service to Customer Experience 30:25 Advice for Business and CX Leaders…

Tech Transformed

1
Real-Time AI: The Next Evolution of Enterprise Intelligence 26:42

14 weeks ago26:42

26:42

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. Takeaways Real-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. Chapters 00:00 Introduction to Real-Time AI and Its Importance 03:03 The Evolution of AI: From Generative to Real-Time 05:54 Real-Time AI in Enterprises: Advantages and Examples 11:01 The Future of AI Agents and Their Collaboration 16:47 Preparing Enterprises for AI: Data Management and Security 20:47 Business Advantages of Real-Time AI and Future Opportunities…

Tech Transformed

1
From Monitoring to Observability: An AI-Powered Transformation 19:48

14 weeks ago19:48