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From AI Adoption to Measurable ROI: Infinity Loop CEO Nithin Mummaneni on Turning AI Investment into Business Value

Artificial intelligence moves from experimentation to mainstream business adoption, companies are facing a more demanding question: are their AI investments delivering measurable...
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AI Infrastructure, Cloud Computing, Tech Investment and the Future of Data Centres; And Interview with Alexey Gubarev

Technology entrepreneur and investor Alexey Gubarev has spent more than two decades building businesses across cloud computing, data centre infrastructure and the...
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Anna Veklich on Building a 36 Million-User AI Platform Without Venture Capital, and Why AI’s Next Battle Is Distribution

Anna Veklich is a strategic marketing expert, AI ambassador, and investor working at the intersection of science, education, and technology. She is...
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David Tobias of Nearmap on How AI, Geospatial Intelligence and Property Data Are Transforming Insurance Risk

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Artificial intelligence has become increasingly embedded in everyday services, and the conversation is shifting from what AI can do to whether it...
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As financial services continue to embrace blockchain technology, the focus is shifting from speculation to practical solutions that make digital finance more...
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How AI Voice Agents Are Transforming Patient Appointment Booking and Healthcare Access: Interview with Dr. Michael Dent

Healthcare providers continue to face growing administrative pressures, while patients often struggle with long waiting times and complex appointment booking processes. As...
Interview with Prasanna Anandan, an SME and senior fintech leader at a major global bank who has spent much of his career redesigning how complex financial systems detect, validate, and resolve data discrepancies under regulatory time pressure, with a focus on reducing reconciliation latency in high-volume environments by shifting validation from delayed batch cycles to on-demand, user-initiated workflows that preserve auditability and control.Interview with Prasanna Anandan, an SME and senior fintech leader at a major global bank who has spent much of his career redesigning how complex financial systems detect, validate, and resolve data discrepancies under regulatory time pressure, with a focus on reducing reconciliation latency in high-volume environments by shifting validation from delayed batch cycles to on-demand, user-initiated workflows that preserve auditability and control.
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How Prasanna Anandan Is Redesigning Reconciliation in Financial Risk Systems

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Why Legacy Trade and Risk Platforms Still Sit at the Center of Global Banking

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AI Will Not Build Your Brand, People Will: An Interview with Bradley Skaggs, Co-founder and Creative Director of Skaggs.

The conversation has largely centred on speed, automation and efficiency as artificial intelligence transforms businesses and industries. Yet, in the race to...
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Puneet Khatri is Head of Services – Americas at Libelle, a global SAP software company, where he oversees delivery across more than...
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Leading AI-Driven Frontend Transformation at Suzy: An Interview With Sammip Biradar, Lead Software Developer

Businesses and professionals are increasingly relying on artificial intelligence to transform complex data into meaningful business decisions; hence, the role of front-end...

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