Tech Transformed

EM360
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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. 2 DAYS AGO

    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

  2. NOV 20

    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

  3. NOV 18

    AI Personas: A Fine Line Between Friend and Fiasco

    AI Personas are the cornerstone of how these systems interact with users, delivering tailored and engaging experiences. These personas—crafted from user research, behavioural insights, and cultural contexts—help define an AI's tone, style, and decision-making approach. Whether it’s a friendly virtual assistant or a professional customer service bot, personas ensure that AI systems resonate with their audiences while maintaining a consistent identity.  However, developing personas for AI isn’t without its challenges. Ensuring that AI responses remain appropriate, ethical, and unbiased while preserving a unique persona requires careful consideration. From avoiding stereotypes to addressing edge cases, the process demands robust testing and a clear understanding of how diverse user interactions can unfold.  When personas fail to account for the complexity of real-world scenarios, the risk of inappropriate or harmful responses increases. By combining creative storytelling with ethical AI design principles, organisations can navigate these challenges and build AI systems that are engaging and responsible in their behaviour. In this episode, Paulina Rios Maya, Head of Industry Relations, speaks to Cobus Greyling, Chief Evangelist at Kore.ai, about the influence of cultural norms and value systems on AI and strategies for maintaining control over AI behaviour.  Key Takeaways:  Personas in AI shape user interactions and trust.Cultural norms influence AI decision-making processes.Balancing control and agency is crucial for effective AI.Adversarial attacks can undermine AI reliability.Transparency is essential for user confidence in AI.Organisations should not offload too much responsibility to AI.AI should enhance human creativity, not replace it.Proof of value is necessary for AI technology implementation. Chapters: 00:00 - Introduction to AI Personas and Their Impact 02:34 - The Role of Personas in AI Behavior 05:51 - Challenges in Ensuring Appropriate AI Responses 09:07 - Cultural Norms and Value Systems in AI 10:30 - Balancing Control and Agency in AI 14:14 - Strategies for Maintaining Control Over AI Behavior 21:24 - The Importance of Responsibility in AI Usage

    27 min

  4. NOV 4

    Skip the Code, Keep the Power: Inside the Low-Code Revolution

    Low-code and no-code platforms are revolutionising application development by empowering technical and non-technical users to quickly and efficiently build powerful applications. These platforms provide intuitive visual interfaces and pre-built templates that enable users to create complex workflows, automate processes, and deploy applications without writing extensive lines of code.  By simplifying development, low-code and no-code tools open up software creation to a wider range of contributors, from professional developers looking to accelerate delivery times to business users aiming to solve specific problems independently. This democratisation of development reduces the demand for IT resources and fosters a culture of innovation and agility within organisations. The impact of low-code and no-code technology extends beyond just speed and accessibility; it’s transforming how businesses adapt to change and scale their digital solutions. These platforms allow companies to quickly respond to evolving customer needs, regulatory requirements, and competitive pressures without the lengthy timelines associated with traditional development cycles.  In this episode, Paulina Rios Maya, Head of Industry Relations, speaks to Michael West, Analyst at Lionfish Tech Advisors about LCNC platforms and their benefits.  Key Takeaways: Low-code and no-code platforms enable business solutions without coding.These platforms broaden the developer base to include non-technical users.Choosing the right platform involves considering functionality, standards, and vendor viability.Low-code platforms can handle enterprise-level applications effectively.AI integration is transforming how applications are developed.Democratisation of development addresses the shortage of professional developers.The market for low-code and no-code platforms is rapidly evolving.Future trends will focus on AI capabilities and user experience. Chapters:  00:00 Introduction to Low-Code and No-Code Platforms 02:59 The Evolution of Development Roles 05:49 Key Considerations for Adopting LCNC Tools 09:04 Democratizing Development and Innovation 11:59 Future Trends in Low-Code and No-Code Markets

    13 min

  5. OCT 30

    Fully Homomorphic Encryption and The Future of Data Privacy

    The intersection of cryptography and GPU programming has changed the face of secure data processing, making methods for encryption and decryption much faster and more efficient than ever imagined. Cryptography is the science of encrypting data with intricate algorithms initially designed to operate on very intensive computational powers. GPU programming provides the ability to utilise parallel processing of graphics processing units in cryptographic processes so they perform with unmatched speed.  While continuously evolving, GPUs are furnishing the computational muscle to execute ever-higher-level cryptographic algorithms without performance penalties. Developers now fully avail of the power of GPU parallelism to perform several thousand encryption tasks simultaneously, which is difficult for traditional CPUs to keep up with. This efficiency is critical in this growing data and rising cyber threat era, where organisations need rapid encryption and robust security.  In this episode, Paulina Rios Maya, Head of Industry Relations, speaks to Agnes Leroy, Senior Software Engineer at Zama, about the significance of encryption in high-stakes industries, the role of women in tech and the importance of mentorship in overcoming barriers in the industry. Key Takeaways:  GPUs have evolved from graphics rendering to critical roles in data security.Fully homomorphic encryption allows computations on encrypted data.Quantum-resistant methods are crucial for future-proofing encryption.High-stakes industries require robust encryption to protect sensitive data.Diverse environments in tech foster innovation and collaboration.The future of encryption technology is exciting and unpredictable. Chapters:  00:00 - Introduction to Cryptography and GPU Programming 01:08 - The Evolution of GPUs in Data Security 03:33 - Challenges in Traditional vs Modern Encryption 05:50 - Quantum Resistance in Encryption Techniques 07:40 - The Future of GPUs in Data Privacy 08:38 - Importance of Encryption in High-Stakes Industries 10:00 - Potential Applications of Fully Homomorphic Encryption 11:42 - Women in Tech: Overcoming Barriers 15:33 - Conclusion and Resources

    16 min

  6. OCT 16

    AI, LLMs, and Content Creation: How Prompt Engineering Helps!

    LLMs and AI have increasingly become major contributors to transforming content creation today. Understanding and using prompt skills appropriately can help organisations optimise AI to generate high-quality content efficiently.  While AI offers multiple benefits, it's important to acknowledge the potential risks associated with its implementation. Organisations are advised to carefully consider factors such as data privacy, bias, and the ethical implications of AI-generated content.  In this episode, Paulina Rios Maya, Head of Industry Relations, speaks to Prof. Yash Shreshta, Assistant Professor at the University of Laussane, about prompt engineering and its benefits.  Key Takeaways Prompts are commands given to AI to perform tasks.Prompt engineering allows users to communicate effectively with AI.Iterative processes improve the quality of AI outputs.Understanding LLM limitations is crucial for effective use.Collaboration can enhance the creative process with AI.The role of prompt engineering is rapidly evolving with AI advancements.Data privacy is a significant risk when using LLMs.Over-reliance on AI can lead to skill degradation.Organisations should integrate human creativity with AI.Regular training on prompt engineering is essential for maximising LLM benefits. Chapters 00:00 Introduction to Prompt Engineering and AI 01:30 Understanding Prompt Engineering 04:15 The Importance of Prompt Engineering Skills 06:37 Best Practices for Effective Prompts 08:31 The Evolving Role of Prompt Engineering 11:20 Risks and Challenges of AI in Organizations 13:15 The Future of Creativity with AI

    16 min

  7. OCT 16

    An AI Approach to Outwitting the Scammers

    The fraud division has witnessed a dramatic transformation in the age of artificial intelligence (AI). As technology advances, so do the methods employed by fraudsters. Modern criminals use sophisticated techniques, such as deep learning and natural language processing, to deceive individuals and organisations alike. Such techniques allow them to mimic human behaviour, manipulate data, and exploit vulnerabilities in security systems. That’s why organisations are embracing AI's strengths to combat these evolving threats. AI-driven solutions can provide real-time detection of fraudulent activities, analyse vast amounts of data to identify patterns and anomalies, and automate response processes.  In this episode, Paulina Rios Maya, Head of Industry Relations, speaks to Xavier Sheikrojan, Senior Risk Intelligence Manager at Signifyd, about AI fraud.  Key Takeaways: Fraudsters have evolved from individuals to organised criminal enterprises.AI enables fraudsters to scale their attacks rapidly and strategically.Phishing attacks have become more sophisticated with AI-generated content.Synthetic identities can be created easily, complicating fraud prevention.Opportunistic fraud is impulsive, while proactive fraud is well-planned.Businesses often fail to act post-breach due to resource constraints.Inaction after a breach can lead to repeated attacks by fraudsters.AI must be used to combat AI-driven fraud effectively.Balancing fraud detection with customer experience is crucial for businesses.  Chapters: 00:00 Introduction to AI and Fraud 01:32 The Evolution of Cybercrime 05:43 AI's Role in Modern Fraud Techniques 09:55 Opportunistic vs. Proactive Fraud 12:44 Business Inaction and Its Consequences 15:59 Combating AI-Driven Fraud with AI

    19 min

  8. OCT 2

    AI, Data, and the Compliance Maze: Keeping It Real!

    As AI technologies become more integrated into business operations, they bring opportunities and challenges. AI’s ability to process vast amounts of data can enhance decision-making but also raise concerns about data privacy, security, and regulatory compliance.  Ensuring that AI-driven systems adhere to data protection laws, such as GDPR and CCPA, is critical to avoid breaches and penalties. Balancing innovation with strict compliance and robust data security measures is essential as organisations explore AI’s potential while protecting sensitive information. In this episode, Paulina Rios Maya, Head of Industry Relations, speaks to Erin Nicholson, Global Head of Data Protection and AI Compliance at Thoughtworks, about the importance of compliance frameworks, best practices for transparency and accountability, and the need for collaboration among various teams to build trust in AI systems. Key Takeaways: AI systems are powerful but require ethical and compliant design.Lack of standardisation in AI regulations poses significant challenges.AI models often need help with explainability and transparency.Compliance frameworks are essential for implementing AI in critical sectors.Documentation and audits are crucial for maintaining AI accountability.Baselining pre-AI processes helps build public trust in AI systems.Organisations should map regulations to the most stringent standards.Cross-functional collaboration is vital for effective AI compliance. Chapters:  00:00 - Introduction to AI, Data Protection, and Compliance 02:08 - Challenges in AI Implementation and Compliance 05:56 - The Role of Compliance Frameworks in Critical Sectors 10:31 - Best Practices for Transparency and Accountability in AI 14:48 - Navigating Regional Regulations for AI Compliance 17:43 - Collaboration for Trustworthiness in AI Systems

    23 min
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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.

Information

  • Creator
    EM360
  • Years Active
    2019 - 2024
  • Episodes
    200
  • Rating
    Clean
  • Copyright
    © Enterprise Management 360
  • Show Website
    Tech Transformed

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