Powered by RND
PodcastsBusinessTech Transformed

Tech Transformed

EM360Tech
Tech Transformed
Latest episode

Available Episodes

5 of 300
  • Who Speaks for the Algorithm? The Emerging Role of the AI Analyst
    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.SummaryThis 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
    --------  
    30:29
  • Can AI Eliminate IT Tickets? Exploring the Future of Automated IT
    "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 RequestsAutomation 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...
    --------  
    35:06
  • Can Old Hardware Run New AI? How Businesses Can Make Current Hardware Future-Forward
    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.Chapters00:00 Introduction to Edge Devices and AI03:12 Extending Hardware Lifecycles in Retail06:06 Transitioning from Windows to Android08:56 Practical Applications of Edge AI11:47 AI Integration in Restaurant Kiosks14:55 Managing Existing Hardware with Software Solutions18:01 The
    --------  
    36:24
  • Can AI Agents Help You Achieve Data Trust and Compliance?
    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."TakeawaysAgentic 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.Chapters00:00 Introduction to Agentic AI and Data Governance02:41 Understanding Data Quality
    --------  
    26:04
  • Can Open Source Ensure AI Works For Everyone, Not Just The Largest Enterprises?
    “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.TakeawaysCuriosity 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.Chapters00:00 Introduction to the Tech Transform Podcast01:35 Pivotal Moments in Joanna's Career05:12 Challenges in Scaling AI Projects09:15 Open Source and GDPR Compliance13:11 Regulatory Compliance and Data Security17:30 Geopolitical Aspects of AI Innovation22:31 Collaboration Between IBM and Red Hat23:58 Understanding Small Language Models29:54 Future Trends in AI and SustainabilityAbout Red HatRed 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...
    --------  
    32:58

More Business podcasts

About Tech Transformed

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.
Podcast website

Listen to Tech Transformed, Prof G Markets and many other podcasts from around the world with the radio.net app

Get the free radio.net app

  • Stations and podcasts to bookmark
  • Stream via Wi-Fi or Bluetooth
  • Supports Carplay & Android Auto
  • Many other app features

Tech Transformed: Podcasts in Family

Social
v7.20.2 | © 2007-2025 radio.de GmbH
Generated: 7/9/2025 - 7:44:18 AM