Episodes
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As organisations adopt AI, data literacy has become more critical than ever. Understanding data—how it's collected, analysed, and used—is the foundation for leveraging AI effectively. Without strong data literacy, businesses risk making misguided decisions, misinterpreting AI outputs, and missing out on AI’s transformative benefits. By fostering a data-driven culture, teams can confidently navigate AI tools, interpret results, and drive smarter, more informed strategies.
Ready to boost your data literacy and embrace the future of AI?
Key Takeaways:
Companies are optimistic about ROI from AI investments.Data literacy is crucial for effective AI implementation.Technical debt poses challenges for AI infrastructure.Data quality and governance are essential for AI success.Trust in AI systems is a growing concern.Organizations must start with clear business priorities.The Data Festival will provide practical insights for AI adoption.DATA festival is where theory meets practice to create real, actionable knowledge. This event brings together #DATApeople eager to drive the realistic applications of AI in their fields.
Leaving the hype behind, we look at the actual progress made in applying (Gen)AI to real-world problems and delve into the foundations to understand what it takes to make AI work for you. We’ll discuss when, where and how AI is best applied, and explore how we can use data & AI to shape ourfuture.
Sign up now to secure your spot
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Data labelling is a critical step in developing AI models, providing the foundation for accurate predictions and smart decision-making. Labelled data helps machine learning algorithms understand input data by assigning meaningful tags to raw data—such as images, text, or audio—ensuring that AI models can recognise patterns and make informed decisions.
AI models struggle to learn and perform tasks effectively without high-quality labelled data. Proper data labelling enhances model accuracy, reduces errors, and accelerates the time it takes to train AI systems. Whether you're working with natural language processing, image recognition, or predictive analytics, the success of your AI project hinges on the quality of your labelled data.
In this episode, Henry Chen, Co-founder and COO of Sapien, speaks to Paulina Rios Maya about the importance of data labelling in training AI models.
Key Takeaways:
Data labelling converts raw data into structured data that machine learning models can recognise.Reducing bias and ensuring data quality are critical challenges in data labelling.Expert human feedback plays a crucial role in improving the accuracy of AI training data and refining AI models.Chapters:
00:00 - Introduction and Background
01:07 - Data Labeling: Converting Raw Data into Useful Data
03:02 - Challenges in Data Labeling: Bias and Data Quality
07:46 - The Role of Expert Human Feedback
09:41 - Ethical Considerations and Compliance
11:09 - The Evolving Nature of AI Models and Continuous Improvement
14:50 - Strategies for Updating and Improving Training Data
17:12 - Conclusion
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Episodes manquant?
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Traditional KYC processes are inadequate against modern fraud tactics. While KYC helps with initial identity checks, it doesn't cover evolving threats like AI-generated deepfakes or ongoing account takeovers.
Curious about how to protect your business from the latest threats like fake IDs, account takeovers, and AI-generated deep fakes? Tune in to our latest episode, where we dive into the essentials of full-cycle verification and real-time transaction monitoring. Find out how AI and machine learning can revolutionise your fraud detection efforts and why staying updated with regulatory changes is crucial for maintaining top-notch security.
In this episode of Tech Transformed, Alvaro Garcia, Transaction Monitoring Technical Manager at Sumsub, speaks to Paulina Rios Maya, Head of Industry, about the manifestations of identity fraud during the user journey stages and the need for comprehensive fraud prevention measures.
Key Takeaways:
Identity fraud manifests at different user journey stages, including onboarding and transaction monitoring.Businesses must implement full-cycle verification and transaction monitoring solutions to detect and prevent fraud in real time.AI and machine learning are crucial in analyzing suspicious user behaviour and spotting complex fraud patterns.SumSub offers platform solutions that include KYC, business verification, transaction monitoring, and payment fraud protection.
Chapters:00:00 - Introduction and Overview
00:35 - Identity Fraud in the User Journey
02:01 - Types of Fraud and Fraud Prevention
04:20 - Real-Time Monitoring and Enhancing Systems
05:46 - Common Types of Fraud Faced by Financial Institutions
08:40 - The Challenge of AI-Generated Deepfakes
10:04 - Beyond KYC: Additional Measures for Fraud Prevention
12:29 - Prevention Measures and Synthetic Identity Fraud
15:21 - Effective Fraud Prevention Solutions
17:45 - Assessing the Effectiveness of Fraud Prevention Strategies
19:08 - Staying Up to Date with Regulatory Requirements
21:31 - Conclusion
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AI is revolutionising contact centres by automating routine tasks, reducing response times, and enhancing customer experience. AI is built to handle simple inquiries efficiently and at scale.
It helps contact centres close the gap between customer expectations and conventional customer service by enabling engagement through digital channels. AI-driven analytics improve decision-making by capturing and analysing data from customer interactions. Organisations can overcome challenges by starting small and gradually building trust in AI's capabilities.
In this episode, Paulina Rios Maya, Head of Industry Relations at EM360 speaks to Jon Arnold, Principal at J Arnold & Associates about the use of AI in contact centres.
Key Takeaways:
AI is a transformative technology that rethinks customer engagement and addresses customer problems in contact centres.AI enables engagement through digital channels and helps contact centres close the gap between customer expectations and conventional customer service.AI-driven analytics improve decision-making by capturing and analysing data from customer interactions.Organisations can overcome challenges by starting small and gradually building trust in AI's capabilities.AI helps protect privacy and mitigate fraud in contact centres.Chapters:
00:00 - Introduction and Overview
01:06 - The Transformational Power of AI in Contact Centers
03:00 - Automating Routine Tasks and Enhancing Customer Experience
06:24 - Engaging Customers through Digital Channels
11:09 - Improving Decision-Making with AI-Driven Analytics
15:28 - Overcoming Challenges and Building Trust in AI
17:23 - Protecting Privacy and Mitigating Fraud in Contact Centers
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Join us in this exciting episode of Tech Transformed, where we talk to Kelly Vero, a pioneering game developer, digital leader, and visionary in the metaverse. With a career spanning 30 years and a resume that includes contributions to legendary franchises like Tomb Raider and Halo 3, Kelly brings a wealth of knowledge and experience to the table.
Kelly’s unique journey in the tech world is nothing short of extraordinary. From joining the military to learn about ballistics for Halo 3 to founding the award-winning startup NAK3D, she has always pushed the boundaries of what’s possible.
Kelly Vero speaks to Paulina Rios Maya about the hurdles of being a woman in the tech industry, the principles of gamification, and the overhyped trends in AI and NFTs. They discuss what’s genuinely beneficial versus what’s just noise.
Key Takeaways:
The gaming industry offers opportunities for problem-solving and creativity.Role models can come from everyday people who inspire and support others.Gamification is about creating an engaging user experience that encourages return and contribution.The tech industry has seen beneficial changes in globalized platforms and a focus on quantum solutions.Chapters:
00:00 - Introduction and Background
02:28 - The Gaming Industry and Problem Solving
07:36 - Challenges and Role Models in the Tech Industry
11:54 - The Principles and Ethical Considerations of Gamification
18:30 - Beneficial Changes and Overhype in the Tech Industry
20:25 - Creating Digital Objects and the NFT Standard
23:45 - Introducing NAK3D: Bringing Non-Designers into Design
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Strategic choices with significant implications mark Latin America's approach to AI. Many countries in the region have adopted AI technologies and frameworks developed by leading tech nations, focusing on imitation rather than innovation. This strategy enables rapid deployment and utilisation of advanced AI solutions, bridging the technological gap and fostering economic growth.
However, reliance on external innovations raises questions about the region's long-term competitiveness and ability to contribute original advancements to the global AI landscape.
In this podcast, Alejandro Leal, Analyst at KuppingerCole, speaks to Paulina Rios Maya, Head of Industry Relations, about how socio-economic factors, including limited research funding, infrastructural challenges, and the need for quick technological catch-up drive this pattern of imitation. While this approach has led to swift AI adoption, it underscores a dependence on foreign technologies and expertise.
Key Takeaways:
Trust, ethics, and legal considerations are essential challenges in integrating AI into the security infrastructure.Public-private partnerships and regional cooperation are crucial for advancing AI technology in the region.Interoperability and alignment with international and regional standards are key areas of focus to ensure the ethical use of AI in Latin America.Chapters:
00:00 - Introduction: AI in Latin America
00:58 - Key Initiatives in the Security Sector in Mexico
05:12 - Mexico's Evolution in National Security
07:33 - Challenges in Integrating AI into Security Infrastructure
12:40 - Comparison with Other Latin American Countries
19:26 - The Role of Public-Private Partnerships
22:51 - Focus on Interoperability and Alignment with Standards
23:46 - Conclusion: Ethical Use of AI in Latin America
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AI fraud is not just a concern, it's a pressing issue. As artificial intelligence technologies advance, fraudsters are developing increasingly sophisticated methods to exploit these systems. Typical forms of AI fraud include deepfakes, which use AI to create convincing fake images, audio, or videos for disinformation, blackmail, or identity theft, and advanced phishing schemes that leverage AI to craft highly personalized and deceptive messages. Addressing and understanding AI fraud is not just crucial, it's urgent for individuals, businesses, and governments to protect against these evolving threats.
Join Alejandro Leal and Pavel Goldman-Kalaydin, Head of AI and Machine Learning at Sumsub, as they delve into the growing issue of AI fraud.
Themes:
AI fraudDeepfakesGlobal trendsRegulationChapters:
00:00 - Introduction and Background
01:13 - Understanding AI Fraud
02:11 - Examples of AI-Driven Fraud
08:02 - Global Trends in AI-Driven Fraud
13:55 - Preventing AI-Driven Fraud
18:11 - The Future Evolution of AI Fraud
22:38 - Conclusion and Final Thoughts
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While generative AI and large language models often receive inflated acclaim, their true value is found in harnessing intelligence and data-driven insights.
Despite the hype, AI has its shortcomings, such as large language models sometimes being solutions looking for problems and challenges in understanding its impact on advertising and making savvy investment decisions.
In this podcast, Dana Gardner, President & Principal Analyst of Interarbor Solutions, and Paulina Rios Maya, Head of Industry Relations at EM360Tech, discuss why AI should be seen as a transformational technology rather than just another automation tool.
Key Takeaways
AI should be viewed as a transformational technology that can refactor our actions rather than just an automation tool.Large language models may be a solution in search of a problem, and their high costs and sustainability impacts should be considered.Making informed decisions about AI investments requires considering the potential benefits and costs.Chapters
00:00 - The Current State of AI Development
02:17 - Viewing AI as a Transformational Technology
03:45 - The Limitations of Large Language Models
05:40 - The Impact of AI on Advertising
06:37 - Navigating the Complexities of AI Investments
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Infosecurity Europe is a cornerstone event in the cybersecurity industry. It brings together a diverse array of cybersecurity services and professionals for three days of unparalleled learning, exploration, and networking. At its essence, the event is committed to delivering indispensable value to its attendees through meticulously crafted themes and discussions.
This year's focus revolves around resilience, artificial intelligence, legislation and compliance, leadership and culture, and emerging threats. With a comprehensive program featuring keynote speakers, strategic talks, insightful case studies, state-of-the-art technology showcases, dynamic startup exhibitions, and immersive security workshops, Infosecurity Europe offers a comprehensive immersion into the dynamic landscape of cybersecurity.
Pioneering new approaches, the event introduces QR-based tools for seamless content collection and unveils a digital meetings platform to foster enhanced connectivity and collaboration. By participating in Infosecurity Europe, cybersecurity professionals equip themselves with the tools, knowledge, and connections vital for continuous growth, networking, and industry advancements.
In this episode of the EM360 Podcast, Paulina Rios Maya, Head of Industry Relations at EM360Tech, speaks to Victoria Aitken, Conference Manager and Nicole Mills, Senior Exhibition Director, to discuss:
Cybersecurity Trends Security events Infosecurity EuropeRegister here to attend Infosecurity Europe | 4–6 June 2024
Chapters00:00 - Introduction and Overview of Infosecurity Europe
01:33 - Key Themes and Topics at Infosecurity Europe
14:04 - New Approaches and Tools
16:21 - Women in Cyber and Analyst Sessions
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Ever wonder how search engines understand the difference between "apple," the fruit, and the tech company? It's all thanks to knowledge graphs! These robust and scalable databases map real-world entities and link them together based on their relationships.
Imagine a giant web of information where everything is connected and easy to find. Knowledge graphs are revolutionizing how computers understand and process information, making it richer and more relevant to our needs.
Ontotext is a leading provider of knowledge graph technology, offering a powerful platform to build, manage, and utilise knowledge graphs for your specific needs. Whether you're looking to enhance search capabilities, improve data analysis, or unlock new insights, Ontotext can help you leverage the power of connected information.
In this episode of the EM360 Podcast, George Firican, Founder of LightsOnData, speaks to Sumit Pal, Strategic Technology Director at Ontotext, to discuss:
Knowledge Graphs Use Cases Ontotext GraphDBIntegration of AI Industry best practices
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Gone are the days of merely safeguarding school computers! Censornet, a rising star in the tech industry, has undergone a remarkable transformation. From its roots as an internet security provider for educators, it has emerged as a trailblazing force in digital risk management.
Today, Censornet offers a comprehensive suite of tools designed to confront the dynamic challenges of the digital landscape, ensuring a safer and more secure online environment for all. This evolution stems from recognising that traditional threats are no longer the sole concern. With the proliferation of Shadow IT, unauthorised applications and devices, and the rise of insider threats, organisations face a complex array of risks.
In this episode of the EM360 Podcast, Jonathan Care, Advisor at Lionfish Tech Advisors, speaks to Gareth Lockwood, VP of Product at Censornet, to discuss:
Inspiration behind Censornet Censornet’s Capabilities Censornet’s Clients Shadow-IT Prevention of future vulnerabilities with AI and Censornet
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The traditional data warehousing landscape is changing. The concept of private data cloud offers a compelling alternative to both cloud PaaS and traditional data warehousing. Imagine a secure, dedicated environment for your data, existing entirely within your organisation's control.
Yellowbrick, a leader in private data cloud solutions, empowers businesses to leverage their data on their terms. Their Bring Your Own Cloud (BYOC) approach offers unmatched flexibility and control. You can deploy Yellowbrick anywhere your data needs to be—public cloud, private cloud, or even the network edge. This ensures compliance with regulations and keeps your data exactly where you want it and can bring down costs.
In this episode of the EM360 Podcast, Wayne Eckerson, President of Eckerson Group, speaks to Mark Cusack, Chief Technology Officer of Yellowbrick, to discuss:
The need for hybrid multi-cloud data platforms How Yellowbrick differentiatesThe future of private data cloudWhy Yellowbrick?
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Amid the ever-evolving landscape of cyber threats, organisations are constantly challenged to ensure security. Conventional security methods are failing to keep up with the escalating volume and sophistication of attacks. By implementing Managed Detection and Response (MDR) with automation, Security Operations Centers (SOCs) can optimise workflows, augment analyst capabilities, and significantly enhance the organisation's overall cybersecurity defences.
Palo Alto Networks offers comprehensive MDR services, leveraging its threat intelligence and cutting-edge technology expertise. Unit 42, its esteemed threat intelligence team, is crucial in providing valuable insights into emerging threats and trends, empowering organisations to stay ahead of malicious actors.
In this episode of the EM360 Podcast, Richard Stiennon, Chief Research Analyst at IT-Harvest, speaks to Ophir Karako, Software Engineer (Unit 42) at Palo Alto Networks, to discuss:
Palo Alto’s MDR Services Operational Automation Data EnrichmentThreat Response Job security for SOC AnalystsInterested in learning more about XSOAR and Palo Alto Networks? You can find some additional resources below:
Enloe Medical Center Strengthens Its Security Posture and Improves Efficiency With Unit 42 MDRUnit 42 Managed Detection and Response Service DatasheetA Practical Guide to Deploying SecOps Automation
Chapters00:00 - Introduction and Background
00:57 - MDR Services at Palo Alto Networks
03:20 - Automation in Operations
04:16 - Automating Data Enrichment
05:13 - Intellectual Property Playbooks and Scripts
05:41 - Customized Reports for Customers
06:10 - Automated Threat Response
07:08 - Insights and Lessons Learned from Automation
07:37 - Benefits of Automation for SOC Analysts
08:06 - Collaboration with Product Experts
09:04 - Treating Automation as a CI/CD Process
10:01 - The Future of Automation in Cybersecurity
12:51 - Automation and Job Security for SOC Analysts
14:20 - Cortex XSOAR: Security Orchestration, Automation, and Response Platform
15:46 - Unit 42 MDR Service
16:16 - Conclusion
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The data analysis landscape is on the precipice of a paradigm shift. Generative AI (GenAI) promises revolutionary insights, but traditional systems struggle to feed its insatiable appetite for well-structured data. Imagine GenAI as a high-powered engine – it needs meticulously organised fuel to reach its full potential.
In this episode of the EM360 Podcast, Analyst Christina Stathopoulos guides Deborah Leff (CRO at SQream) and Jason Hardy (CTO, AI at Hitachi Vantara) as they dissect:
The Bottlenecks of Traditional SystemsUnlocking GPU PotentialFueling Insights with Structured DataFaster Time to InsightsThis episode goes beyond theory, exploring real-world examples (like a company querying a staggering 64 quadrillion rows) It showcases the potential for SQream and Hitachi Vantara to empower organisations to make data-driven decisions with unprecedented speed and accuracy.
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The SolarWinds breach exposed vulnerabilities within DevSecOps practices, sending shockwaves through the tech world.
The U.S. Securities and Exchange Commission (SEC) indictment against SolarWinds further emphasised the gravity of the situation, alleging the company misled investors by failing to disclose these vulnerabilities and the subsequent breach adequately.
This lack of transparency raises crucial questions about accountability and risk management in the mobile app development landscape, pushing organisations to re-evaluate their DevSecOps practices and prioritise robust security measures throughout the entire development lifecycle.
In this episode of the EM360 Podcast, Head of Podcast Production Paulina Rios Maya speaks to Richard Stiennon, Chief Research Analyst at IT-Harvest, and Tom Tovar, CEO and Co-Creator of Appdome, to discuss:
The SolarWinds indictment The U.S. SEC 4-day ruleThe impact on DevSecOps practicesBYOD and VPN security The evolving role of cybersecurityBuilding cyber resilience
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The fight against cybercrime is a never-ending battle. Firewalls and antivirus software, our traditional defences, are like trusty shields—good against basic attacks but not enough. Advanced attackers can slip through the cracks, exploiting new weaknesses or mimicking harmless traffic. Thus, businesses are exposed and face potential data breaches, financial ruin, and damaged reputations.
That's where Advanced Threat Intelligence (ATI) comes in – a game-changer in the cybersecurity arsenal. Unlike our old shields, ATI offers real-time intel on the latest threats, how attackers operate, and their ever-evolving tactics.
Recognising the limitations of traditional security solutions, Radware goes beyond basic shields. Imagine a high-powered watchtower constantly scanning the digital horizon, identifying threats before they strike.
In this episode of the EM360 Podcast, Analyst Jonathan Care speaks to Arik Atar, Senior Threat Intelligence Researcher at Radware, to discuss:
The Current Threat LandscapeModern Attacker TacticsRomance Scams & Pig ButcheringThe Radware Advantage
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Cloud-native is the new gold rush for businesses seeking speed, efficiency, and innovation. But are you getting the most out of your investment? Legacy troubleshooting and observability tools can be hidden anchors, dragging down your developers' productivity.
The result? You're not reaping the full benefits of cloud-native, and your competitors are leaving you in the dust.
Chronosphere, a leader in modern observability, can empower your developers and unlock the true potential of cloud-native. Buckle up and get ready to discover how observability can become your secret weapon for unleashing developer agility and innovation.
In this episode of the EM360 Podcast, VP of Research at Eckerson Group, Kevin Petrie speaks to Ian Smith, Field CTO at Chronosphere, to discuss:
Observability Cloud-native software developersDeveloper inefficiencyThe Chronosphere solutionData pipeline best practices
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SaaS applications are the backbone of digital enterprises around the world. But with so many SaaS businesses out there, simply having a feature-rich product is no longer enough to keep your users happy and grow your business.
In an increasingly crowded SaaS market, a smooth, intuitive user experience is what sets SaaS products apart. Businesses not only need to craft an exceptional user experience (UX) but also a User Interface (UI) design that makes your UX as seamless as possible.
But what does an effective UX and UI design even look like today? And how are emerging technologies like AI and machine learning transforming what users expect from a SaaS UX and UI design?
In this episode of the EM360 podcast, Matt Harris speaks to Jatin Leuva, CEO and UX Strategist at Tcules, to discuss:
The current state of UX/UI designThe challenges companies face in implementing solid UX/UI design The emerging trends and technologies impacting the UX/UI space.
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The cloud revolutionised how businesses operate, but managing dynamic, complex environments presents new and unique challenges.
While digital transformation has brought significant benefits, the reality is that organisations now require innovative solutions to effectively navigate intricate, hybrid, multi-cloud environments.
Evolven Software, driven by a mission to simplify complexity and mitigate risk, empowers large organisations to overcome the challenges of governing extensive hybrid ecosystems. By harnessing the power of AI/ML, Evolven enables a more secure, streamlined, and efficient cloud journey with fewer outages or compliance gaps.
In this episode of the EM360 Podcast, industry veteran Tom Croll, advisor at Lionfish Tech Advisors, speaks to Sasha Gilenson, Founder and CEO of Evolven Software, to discuss:
The current state of enterprise cloud architectures and the challenges in managing hybrid multi-cloud environments.Why managing risk in hybrid multi-cloud environments demands a new paradigm.The unique challenges large organizations face in maintaining visibility, control, and governance across their landscapes.How Evolven's AI/ML-driven solution empowers enterprises to overcome this complexity, enhance security, and optimize performance.
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Intelligent document processing (IDP) is a technology-driven approach that automates document processing and extraction of valuable information.
While handling structured data is considerably straightforward, processing and analyzing unstructured data is laborious. IDP equips users with the ability to process a multitude of document types, including PDFs, spreadsheets, and Word documents, among others.
IDP platforms offer a powerful solution that streamlines data extraction from these documents by eliminating the need for any manual intervention. The extracted data, when integrated, enables you to make reliable decisions and improve business efficiency.
In this episode of the EM360 Podcast, Analyst Christina Stathopoulos speaks to Jay Mishra, COO at Astera, to discuss:
Traditional document processing and the problems it causesAI-powered solutionsThe future of document processing and data extractionFind out more about Astera’s unified, no-code data management platform here.
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