AI in Banking Compliance: Future-Proofing KYC & AML

AI in Banking Compliance: Future-Proofing KYC & AML

1. With only 29% of financial institutions currently using generative AI for financial crime detection, what are the primary barriers to adoption, and how can banks overcome these challenges? The adoption of generative AI in financial crime detection remains limited, largely due to several key challenges. First, there is a natural reluctance within teams, driven…

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AI-Powered Drug Discovery: Transforming R&D with Dotmatics

AI-Powered Drug Discovery: Transforming R&D with Dotmatics

1. What are the most significant breakthroughs AI has enabled in recent years? AI has made many groundbreaking advancements in drug discovery and personalized medicine, fundamentally changing how new treatments are developed. Traditionally, bringing a single drug to market takes over a decade and costs $2-6 billion, with a staggering failure rate of 90% in…

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ACI Worldwide’s Growth Strategy: Philip Bruno on the Future of Payments

ACI Worldwide’s Growth Strategy: Philip Bruno on the Future of Payments

“Two reasons: First, tech modernization particularly at banks is getting into full swing.  The market is ready for new cloud-native payment solutions. Second, ACI is at a pivotal moment and poised to take advantage of this market dynamic. I was drawn to the opportunity to partner with our exceptional leadership team during a critical acceleration…

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AI in Testing: Mav Turner of Tricentis on QA Transformation with qTest Copilot

AI in Testing: Mav Turner of Tricentis on QA Transformation with qTest Copilot

What types of applications or systems have shown the most benefit from the AI-driven features of qTest Copilot during its beta phase? Applications and systems requiring comprehensive test coverage and efficient test case generation have benefited most. Feedback from the beta program highlighted that qTest Copilot enables users to create complex test cases quickly while…

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Appfire’s Strategic Approach to AI: Enhancing Products and Empowering Users

Appfire’s Strategic Approach to AI: Enhancing Products and Empowering Users

1. As AI continues to evolve, how do you adjust AI strategy in real time to ensure it meets the changing needs of both the market and your customers? Since the start of the AI revolution, SaaS companies — and beyond — have introduced numerous AI-powered solutions to stay relevant and competitive. While some of…

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Neil MacDonald on HP’s AI-Powered Innovations and Channel Strategy for SMEs

Neil MacDonald on HP’s AI-Powered Innovations and Channel Strategy for SMEs

1. How has HP adapted its channel strategy to ensure timely delivery of the LaserJet Pro 3000 series and AI PCs to partners? We have strong, long-standing relationships with our channel partners and our processes are designed to optimise both our performance and theirs. HP has had a 50-year presence in the UK, and we…

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Jeremy Schiff on AI’s Role in Optimizing B2B Operations and Driving Revenue Growth

Jeremy Schiff on AI’s Role in Optimizing B2B Operations and Driving Revenue Growth

1. How is AI being used to optimize workflows and reduce inefficiencies in B2B operations, such as supply chain management or sales processes? AI is transforming B2B sales processes by eliminating inefficiencies and enabling smarter workflows. For instance, Salesbot.io leverages AI to analyze a company’s Ideal Customer Profile (ICP) and access a vast database of…

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Building a Secure Future: Best Practices for MLOps and Beyond

Building a Secure Future: Best Practices for MLOps and Beyond

What specific skills do you think are needed in R&D, reverse engineering, and vulnerability research? I think the skills and mentality for “standard” software development (R&D) vs. reverse engineering / vulnerability research are vastly different, so I’ll answer in two parts. For R&D, I believe it’s important to prioritise continuous learning and stay up-to-date with…

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