By EM360
5
11 ratings
The podcast currently has 367 episodes available.
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:
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
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:
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
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:
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
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:
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
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:
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
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
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
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:
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
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:
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
As organisations increasingly migrate to cloud environments, they face a critical challenge: ensuring the security and privacy of their data.
Cloud technologies offer many benefits, including scalability, cost savings, and flexibility. However, they also introduce new risks, such as potential data breaches, unauthorised access, and compliance issues.
With sensitive data stored and processed off-premises, maintaining control and visibility over that data becomes more complex. As cyber threats continue to evolve, robust data protection strategies are essential to safeguarding information in the cloud.
In this episode, Paulina Rios Maya, Head of Industry Relations, speaks to Sergei Serdyuk, VP of Product Management at NAKIVO, about the factors driving cloud adoption, the importance of having a robust disaster recovery plan, best practices for data protection, and the challenges of ensuring compliance with regulations.
Key Takeaways:
Chapters:
00:00 - Introduction to Cloud Technologies and Data Protection
01:26 - Factors Accelerating Cloud Adoption
03:48 - The Importance of Data Protection in the Cloud
06:39 - Developing a Comprehensive Disaster Recovery Plan
10:05 - Best Practices for Data Protection
13:31 - Ensuring Compliance in Cloud Environments
15:56 - The Role of Continuous Monitoring in Data Protection
18:19 - Balancing Security and Operational Efficiency
Managed Service Providers (MSPs) are evolving beyond traditional IT support, becoming strategic partners in driving business growth. By embracing AI technologies, MSPs are improving operational efficiency, streamlining service delivery, and offering smarter solutions to meet modern challenges.
As businesses navigate digital transformation, MSPs are crucial in optimising IT infrastructure, enhancing security, and providing tailored solutions that fuel innovation. With AI-powered tools, MSPs meet today's demands and help businesses stay competitive.
In this episode, Paulina Rios Maya, Head of Industry Relations, speaks to Jason Kemsley, Co-founder and CRO of Uptime, about the proactive strategies that MSPs can adopt using AI, the challenges they face in implementation, and the ethical considerations surrounding AI solutions.
Key Takeaways:
Chapters:
00:00 - Introduction to Managed Service Providers (MSPs)
02:03 - The Evolving Role of MSPs in Business Growth
04:00 - AI's Impact on Service Delivery Models
07:22 - Proactive Support Strategies with AI
10:16 - Challenges in Adopting AI for MSPs
12:40 - Ethics and Accountability in AI Solutions
The podcast currently has 367 episodes available.