AI and the Future of Hedge Funds: David Csiki on Automation, Security, and Strategy

AI and the Future of Hedge Funds: David Csiki on Automation, Security, and Strategy

1. How do you see hedge funds balancing automation with human oversight in the next 3-5 years? In the next few years, hedge funds will increasing use the power of AI and automation tools. We expect further AI use cases to improve manual tasks surrounding trading, portfolio accounting, data management, and reporting. Despite this, humans…

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Reimagining Software Quality with AI: Tricentis’ Bryan Cole Shares Insights

Reimagining Software Quality with AI: Tricentis’ Bryan Cole Shares Insights

1. What key trends in software quality engineering and continuous testing stood out among this year’s award winners? This year’s award winners recognize and act on the need to deliver quality software at speed and scale while reducing risk and increasing time to value. Top organizations are prioritizing continuous testing and automation to keep pace…

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Cyber Resilience & Cyber Ranges: Daz Preuss, COO, on Innovation

Cyber Resilience & Cyber Ranges: Daz Preuss, COO, on Innovation

1. How is the growing demand for cyber resilience driving innovation in Cyber Range technology across both public and private sectors ? The increasing frequency and sophistication of cyber-attacks are driving both public and private sectors to invest heavily in cyber resilience, and Cyber Range technology is a central part of this strategy. As organisations…

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Jim Ducharme on Digital Identity, Zero Trust & Cybersecurity Trends

Jim Ducharme on Digital Identity, Zero Trust & Cybersecurity Trends

1. What are the biggest challenges organizations face in securing digital identities, and how can they overcome them ? Unfortunately, I see digital identity as the most consequential attack vector. If it were a football team, I would say it only has 3 problems – Offense, defense, and special teams. Too many companies are still…

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Data Integrity in AI/ML: Roman Zednik on Reliability & Compliance

Data Integrity in AI/ML: Roman Zednik on Reliability & Compliance

1. How can organisations ensure that the data used in AI and ML systems is reliable to avoid biases or producing flawed insights? Organisations must adopt a comprehensive data integrity strategy to ensure that AI and ML systems are built on reliable data. This means implementing rigorous testing throughout the entire data lifecycle – validating…

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Smart Building Automation: Fabio Zaniboni on Bluetooth Mesh & IoT

Smart Building Automation: Fabio Zaniboni on Bluetooth Mesh & IoT

1. What are the advantages of Bluetooth® Mesh technology compared to other wireless communication protocols in automation? Bluetooth® Mesh offers a fully distributed network, eliminating single points of failure and improving system resilience—especially in large deployments like commercial buildings. It also uses end-to-end encryption, ensuring robust security at every node. Unlike proprietary protocols, Bluetooth® Mesh…

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Wireless Power IoT: Dr. Greene on Sustainability & Efficiency

Wireless Power IoT: Dr. Greene on Sustainability & Efficiency

1. What factors should businesses consider when transitioning from battery-powered to wirelessly powered IoT networks? There are 3 important factors to consider when looking at wireless power – Location, Coverage, and Data. Maintenance and waste concerns typically limit the number of battery-powered sensors that can reasonably be used for any given application. For example, retailers…

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Securing AI Agent Communication: Decentralized Identity & Protocol

Securing AI Agent Communication: Decentralized Identity & Protocol

1. What are the biggest challenges in enabling AI agents to communicate securely across different enterprises?  There are two important aspects to this communication: ·         Identity ·         Protocol Let us do a deeper dive on each of these aspects. IDENTITY Today AI Agents are being built for use within…

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AI in Finance: Real-Time Clarity & Accuracy with Zeni’s Automation

AI in Finance: Real-Time Clarity & Accuracy with Zeni’s Automation

1. What are the key considerations for implementing AI automation in workflows without disrupting existing processes? I always recommend a gentle rollout. Start with a small slice of your finance workflow—maybe categorizing expenses or reconciling transactions—so the team builds trust in the AI. Map out your processes clearly, communicate what’s changing (and why), and train…

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