Tech Transformed

EM360
Tech Transformed

This podcast is your go-to source for all things AI and emerging technologies. We explore how tech is shaping the future of business and share best practices for implementing these innovations. With expert interviews, in-depth analysis, and practical advice, you'll stay ahead of the curve and make informed decisions for your enterprise. Join us to debunk myths, dive into the latest trends, and cut through the AI noise with “Tech Transformed.” Tune in and transform your understanding of technology and its potential.

  1. 6 DAYS AGO

    Code Less, Build More: The AI future of Low-Code Development

    AI is catalysing the evolution of low-code platforms and reshaping the landscape of low-code development tools. These new technologies can provide a strategic advantage in streamlining internal operations. By leveraging AI effectively organisations are able to deliver truly personalised, adaptive, and intuitive interactions. However, organizations face challenges adopting these new technologies and risks like AI hallucinations need to be mitigated to ensure reliable outcomes. In this episode, Paulina Rios-Maya, Head of Industry Relations at EM360Tech, speaks with Nikhil Nandagopal, Co-founder and CPO of Appsmith, about the transformative impact of AI on low-code platforms and application development.  Key takeaways Low-code platforms are revolutionizing application development.AI tools can generate code but require careful review.Routine tasks can be automated, but decision-making still needs human input.AI adoption comes with challenges like hallucinations and misinformation.Organizations must adapt their culture and processes for AI success.Developers need skills in data modeling and security for AI applications.AI can simplify user interfaces and enhance user experience.Interconnected applications will rely on AI to bridge data gaps.Most AI projects fail due to underestimating necessary changes.Enterprises face more challenges in AI adoption compared to SMBs. Chapters 00:00 - Introduction to AI and Low-Code Platforms 02:59 - The Role of AI in Automating Tasks 05:51 - Challenges and Risks of AI Adoption 09:08 - Essential Skills for Developers in AI 12:01 - Future of Interconnected Applications 14:50 - Realities vs. Hype of AI in Enterprises

    29 min
  2. 12/19/2024

    Code, Chaos and Clever Machines: Solving Enterprise IT Challenges with Practical AI

    When it comes to the IT enterprise, the integration of AI is proving to be a transformative force. Modern IT departments face mounting challenges, from managing complex infrastructures and resolving system inefficiencies to ensuring robust cybersecurity and meeting escalating user demands.  AI offers a solution by automating routine tasks, streamlining processes, and enabling predictive analytics that anticipate issues before they arise. This not only enhances operational efficiency but also frees IT teams to focus on more strategic initiatives, driving innovation and value creation across the organisation.   However, adopting AI in enterprise IT systems comes with its own challenges, including ensuring data privacy, overcoming resistance to change, and maintaining the right balance between automation and human oversight. Effective AI integration requires a thoughtful approach—one that leverages AI’s capabilities while retaining human control to ensure accountability and ethical decision-making. In this episode, Kevin Petrie, VP of Research at BARC, speaks to David Campbell, VP of Product at GoTo, about the challenges faced by modern IT departments, the role of practical AI in addressing these challenges, and the importance of balancing automation with human oversight. Key Takeaways:  AI can modernise IT systems without disrupting operations.AI helps identify inefficiencies and provides actionable insights.Human oversight is crucial in AI-driven IT processes.AI can automate tasks and flag critical issues proactively.Security is a top priority for IT departments.Data quality is essential for effective AI strategies.AI can streamline knowledge sharing across IT teams.AI can enhance help desk workflows and reduce resolution times. Chapters:  00:00 - Introduction to AI in Enterprise IT 02:06 - Challenges in Modern IT Systems 04:33 - The Role of AI in IT Modernization 06:57 - Balancing AI Automation and Human Oversight 10:13 - AI's Impact on IT Security 12:34 - Ensuring Data Quality for AI 16:23 - Top AI Use Cases in IT Management

    20 min
  3. 12/16/2024

    Curiosity Didn't Kill the Cat, It Powered the Future

    Today, organisations that thrive are those that foster a culture of curiosity. Encouraging curiosity empowers teams to question the status quo, explore innovative solutions, and stay ahead of emerging trends. By promoting an environment where employees feel encouraged to ask "what's next?" and seek learning opportunities, companies can adapt more swiftly to technological advancements and market shifts. This mindset drives innovation and cultivates resilience, enabling organisations to turn challenges into opportunities.   Preparing for future technological trends requires more than just adopting the latest tools—it demands a workforce that is curious and agile. A culture of curiosity fuels engagement, cross-disciplinary collaboration, and creative problem-solving, all of which are critical for navigating the complexities of technologies like AI, blockchain, and quantum computing.  By investing in curiosity through training, open communication, and a safe space for experimentation, organisations can build a future-ready workforce that embraces change and drives sustainable growth. In this episode, Paulina Rios Maya, Head of Industry Relations, speaks to Andrew Grill, author of Digitally Curious: Your Guide to Navigating the Future of AI and All Things Tech, about the future of work and the integration of AI.  Key Takeaways:  Digital curiosity empowers individuals to understand technology better.Leaders play a crucial role in fostering a culture of curiosity.Ethics in AI involves data privacy, transparency, and fairness.Curiosity leads to digital fluency, which is essential for the future.Organisations should encourage experimentation with new technologies.Understanding technology is vital for effective leadership.The future workforce will require continuous upskilling and adaptability. Chapters:  00:00 - Introduction to Digital Curiosity 03:00 - The Importance of Digital Curiosity in Technology 05:50 - Overcoming Barriers to Technology Engagement 09:13 - Ethics and Responsibility in AI 12:05 - Cultivating a Culture of Curiosity in Organizations 14:58 - Future Technological Shifts and AI Integration

    20 min
  4. 12/11/2024

    Maximizing Cloud ROI Through Augmented FinOps

    The world of IT Finance is shifting, driven by the transition from traditional capital expenditure (CapEx) models to operational expenditure (OpEx) in cloud-based environments. This evolution not only enables businesses to scale their resources dynamically while optimizing costs, but also introduces new complexities in forecasting, budgeting, and resource allocation.  As organizations adopt cloud technologies, the ability to manage financial resources with precision becomes a cornerstone of competitive advantage. Augmented FinOps, a groundbreaking approach that merges traditional financial operations with AI-driven insights, transforms how companies navigate these challenges, empowering decision-makers with unparalleled visibility and control.   The applicationof AI in FinOps promises to amplify its potential by automating routine tasks, uncovering patterns in vast data sets, and providing predictive analytics to enhance strategic planning.  In this episode, Jon Arnold, Principal of J Arnold Associates, speaks with Kyle Campos, CTPO at CloudBolt, about Augmented FinOps and the role of AI and ML in automating cost management processes.  Key Takeaways:  FinOps is a community-driven approach to managing cloud spend.The shift from CapEx to OpEx has transformed financial operations.Augmented FinOps combines AI with traditional FinOps practices.Organizations must measure the “insight to action” gap in their processes. Machine learning can automate and optimize cloud spending decisions.C-suite expectations often misalign with operational realities.Tracking metrics is vital for improving FinOps maturity.Investing in FinOps is about optimizing resources, not just cutting costs. Chapters:  00:00 - Introduction to FinOps and Cloud Management 02:52 - The Shift from CapEx to OpEx in Cloud Spending 06:13 - The Role of AI in Financial Operations 08:56 - Understanding Augmented FinOps 12:13 - Best Practices for FinOps in the Age of AI 15:00 - Leveraging Machine Learning for Cost Optimization 18:13 - Insight to Action: Measuring FinOps Effectiveness 21:04 - Conclusion and Key Takeaways CloudBolt is The Cloud ROI Company™. It is singularly focused on solving the most pressing problem with cloud today: increasing return on investment (ROI). With the introduction of Augmented FinOps capabilities, CloudBolt is leveraging AI/ML-informed insights and applying intelligent automation and orchestration proactively and retrospectively to make complete cloud lifecycle optimization a reality. CloudBolt enables organizations to realize the full potential of any cloud fabric by closing the “insight to action” gap. By streamlining, clarifying, and optimizing spend and control, CloudBolt helps organizations place value at the center of every cloud decision. For more information, visit www.cloudbolt.io.

    28 min
  5. 12/11/2024

    PETs and Privacy: Walking the Fine Line of AI Ethics

    As artificial intelligence continues to shape industries and society, the need for robust AI governance has never been more critical. At the forefront of this governance are privacy-enhancing technologies (PETs), which play a key role in ensuring that AI systems operate in a way that respects and protects individuals' data.  The European Union’s AI Act, one of the most ambitious regulatory frameworks for AI, sets clear standards for transparency, accountability, and risk management. Understanding the implications of this legislation is crucial for businesses looking to innovate responsibly while avoiding potential legal and ethical pitfalls.   Countries around the world are taking varied approaches to AI governance, with some prioritising privacy and ethical considerations while others focus on fostering technological innovation. This diversity presents challenges and opportunities for organisations striving to implement AI responsibly.  In this episode, Paulina Rios Maya, Head of Industry Relations, speaks to Dr Ellison Anne Williams CEO and founder of Enveil, about the need for model-centric security and the potential of PETs to mitigate risks associated with sensitive data in AI applications. Key Takeaways:  Privacy-enhancing technologies are crucial for data protection.The EU AI Act sets a precedent for global AI regulation.Organisations must start with the problems they aim to solve.Data sensitivity must be considered in AI model training.Privacy-enhancing technologies can facilitate cross-border data sharing.AI is a neutral tool that requires responsible governance.The implementation of privacy technologies is still evolving.Global standards for AI governance are necessary for ethical use. Chapters:  00:00 - Introduction to AI Governance and Privacy 01:07 - Understanding AI Governance 03:51 - Privacy Enhancing Technologies Explained 08:28 - The Role of the EU AI Act 12:42 - Implementing Privacy Enhancing Technologies 17:20 - Harmonizing AI Governance with Privacy Technologies

    22 min
  6. 11/25/2024

    Mind the AI Gap: Bridging Skills for the UK’s Future

    As AI reshapes industries and drives global innovation, the UK must urgently address its AI skills gap to remain competitive. Nations investing in AI education and training are gaining a clear advantage, leaving others at risk of falling behind. By equipping the workforce with essential AI expertise, the UK can strengthen its position as a leader in innovation and secure its economic future. Developing AI skills isn’t just about maintaining a competitive edge—it’s about creating opportunities. This dual approach ensures that experts can drive technological advancements while a broad understanding of AI empowers diverse sectors to integrate its potential. Investing in education, upskilling, and industry partnerships will ensure the UK workforce is ready to meet the demands of an AI-driven world.  In this episode, Paulina Rios Maya, Head of Industry Relations, speaks to James Kuht, CEO and Founder of Inversity, about integrating AI into education and the collaborative effort required from government and society to achieve this goal. Key Takeaways:  The UK has a strong AI talent pipeline concentrated in key areas.Specialist and generalist AI skills are both important.AI can significantly boost productivity in knowledge-based tasks.Teachers need training to effectively integrate AI into education.AI skills will be a baseline requirement for future jobs.Government and society must collaborate on AI education initiatives.AI has the potential to reduce economic inequality.Most jobs will evolve rather than disappear due to AI. Chapters:  00:00 - The Importance of AI Skills for the UK 03:01 - James Kuht’s Journey in AI 05:57 - Building a Competitive AI Workforce 08:45 - Integrating AI into Education 12:07 - The Role of Government and Society in AI Education 15:01 - Addressing Inequality in AI Access 17:58 - Future-Proofing the Workforce with AI Skills 21:10 - The Impact of AI on Global Industries

    31 min
  7. 11/20/2024

    From the Cloud to Your Pocket: The Future of Intelligent AI

    AI operates in two primary environments: on-device and cloud-based. On-device AI processes data locally, ensuring privacy and speed by eliminating the need for internet connectivity. Cloud-based AI, on the other hand, leverages powerful remote servers to handle complex computations and large-scale data analysis, enabling more robust capabilities but often at the cost of latency and potential privacy concerns.  Apple Intelligence exemplifies the strengths of on-device AI, with innovations like Siri, Face ID, and real-time photo enhancements all designed to prioritise user privacy while delivering seamless, responsive experiences.  Unlike cloud-based AI, which may send sensitive data to external servers for processing, Apple’s approach ensures that personal information stays on the user’s device and is protected by advanced encryption. This difference builds trust and empowers users with faster, more reliable interactions.  In this episode, Paulina Rios Maya, Head of Industry Relations, speaks to Karel Callens, CEO at Luzmo, about best practices for developers integrating AI into their products.  Key Takeaways: Apple Intelligence operates on-device but can access cloud resources.Developers must implement robust security measures for user data.Clear data policies enhance user trust in AI solutions.Opt-in and opt-out options empower users regarding their data.Education on AI usage is crucial for consumer confidence.Shared security standards can mitigate AI misuse.Regulation is necessary to keep pace with AI advancements.Big tech companies have a responsibility to ensure ethical AI use. Chapters: 00:00 - Introduction to AI: On-Device vs Cloud-Based 02:54 - Understanding Apple Intelligence and Its Benefits 05:47 - Security Measures in AI Integration 09:03 - Building Trust Through Transparency and Regulation 11:50 - Best Practices for Developers in AI Implementation 15:04 - The Role of Education in AI Trust and Security 17:47 - The Future of AI: Regulation and Responsibility

    21 min

About

This podcast is your go-to source for all things AI and emerging technologies. We explore how tech is shaping the future of business and share best practices for implementing these innovations. With expert interviews, in-depth analysis, and practical advice, you'll stay ahead of the curve and make informed decisions for your enterprise. Join us to debunk myths, dive into the latest trends, and cut through the AI noise with “Tech Transformed.” Tune in and transform your understanding of technology and its potential.

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