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Quantiphi has appointed Jim Reesing as chief executive officer to lead its next phase of global growth. The AI-first digital engineering company, founded in 2013, is positioning itself to capitalise on increased enterprise demand for large-scale AI transformation. Reesing brings over 30 years of experience leading global enterprise transformation organisations. He most recently served as senior managing director at Accenture, leading AI-enabled enterprise reinventions. He has previously held leadership roles at IBM, Capgemini, Kanbay, Xchanging and Freeborders. The appointment is part of a long-term growth strategy, with Quantiphi's founders remaining deeply involved in innovation, customer engagement and strategy. Co-founder Asif Hasan noted that enterprises are moving beyond experimentation towards AI transformation tied to business outcomes.

6 real-world proofs that enterprise AI actually works: insights from the Phi Moments @ Next event. Enterprise AI is shifting from hype to measurable outcomes, with success now depending on seamless integration and balancing automation with the human element. But the gap between a compelling AI demo and a deployment that actually changes outcomes isn't the model - it's everything built around it, including the partner ecosystem. That's where implementation expertise comes in, adapting powerful products to fit real enterprise needs and unlock their full value, according to Ishaan Aggarwal (pictured), customer experience practice lead at Quantiphi Inc. For Quantiphi, a data and AI services company built around enterprise deployment, that value is defined by one thing: what the end customer actually experiences. "We have product expertise - we bring in our accelerators that fast track development, we bring in orchestration layers that make sure there is no loss of context and you can always coexist in multiple platforms," Aggarwal said. "You can always have a software license that can give you the capability, but you need the engineering partner to unlock the potential out of that capability." During the Phi Moments @ Next event, theCUBE's Rebecca Knight sat down with Quantiphi representatives and their customers to unpack how AI goes from promising to proven in the enterprise. They highlighted partnerships focused on seamless integration of AI into enterprise platforms, helping organizations achieve measurable outcomes at scale. (* Disclosure below.) Here are six themes showing how AI-first transformation is moving into real enterprise execution: 1. Customer-centric collaboration enables seamless integration. Effective collaboration between cloud contact center platform Five9 Inc. and Quantiphi started with aligning on clear goals, a shared understanding of what teams are trying to achieve and a plan to deliver outcomes that build trust and reliability. Rather than focusing on selling technology, they emphasize centering on the end customer experience and enabling seamless integration across systems to deliver results that truly meet user needs, according to Ray Dean, vice president of cloud marketplace acceleration at Five9. The real value lies in introducing AI without disrupting that experience at all - and nailing that aspect is what unlocks most of the potential, Aggarwal noted. 2. AI-powered digital sovereignty can be unlocked through scaled collaboration. The partnership between Quantiphi and Indonesia telco PT Indosat Ooredoo Hutchison Tbk was driven by a vision of digital sovereignty, aiming to make technology so seamless it becomes invisible in everyday life. By combining advanced AI infrastructure, local insight and engineering expertise, the collaboration focused on scaling solutions that deliver real impact for citizens, according to Harshini Infanta, associate practice lead for agentic enterprise intelligence at Quantiphi Inc. For Indosat, the transformation wasn't just technological - it required reimagining the entire organization, starting with leadership, according to Vishal Gupta, chief techco transformation and procurement officer at Indosat. 3. Patient-first, outcomes-driven AI in healthcare is in focus. Clear, outcome-driven goals focused on patient impact and seamless integration over simply profitability were central to the engagement between Quantiphi and Highmark Health at Highmark Inc., according to Dinesh Kabaleeswaran, regional sales leader for North America at Quantiphi. By applying data-driven insights and cross-industry expertise, the collaboration aims to improve access, anticipate patient needs and deliver better healthcare outcomes at scale, noted Nik Acheson, vice president of data strategy, data architecture and engineering at Highmark Health. 4. Balancing AI innovation with operational efficiency. In another partnership, Quantiphi brought AI capabilities to accelerate innovation, while industrial automation and controls leader Honeywell International Inc. ensured strong operational discipline and efficiency through its deep expertise and legacy knowledge. This balance enabled real outcomes at scale, according to Kabaleeswaran. Those included better asset performance and safer industrial processes - the north star metrics that define success in Honeywell's complex environment, said Ankur Manake, Honeywell Forge data and AI leader at Honeywell. 5. Player support becomes a lot less painful. Helpshift Inc., a customer engagement platform built for the gaming industry, wanted to eliminate friction from player support entirely - and brought in Quantiphi to make it happen. Drawing on deep experience in contact center transformation and the technical expertise needed to navigate rapidly evolving AI technologies, the partnership helped turn an ambitious roadmap into production, according to Ram Kasi, head of the EMEA GCP business unit at Quantiphi. The result was a family of AI agents designed around a single goal - not solving tickets, but getting players back in the game, according to Erik Ashby, senior director and head of product research at Helpshift. 6. Trusted partnerships enable complex transformations. Quantiphi was brought in as a partner for John Wiley & Sons - a 219-year-old publishing institution navigating a modern data crisis - to guide a complex migration of 300 terabytes of data across 30,000 tables onto Google Cloud. Working alongside Google Cloud, the partnership compressed what typically takes two years into six to nine months, according to Mehul Trivedi, group vice president of technology at Wiley. However, the real unlock wasn't just the architecture - it was contextualizing decades of fragmented data so that AI could actually do something useful with it, according to Debopriyo Nag, practice lead for data analytics at Quantiphi. Here's the complete video playlist from SiliconANGLE's and theCUBE's coverage of the Phi Moments @ Next event: (* Disclosure: TheCUBE is a paid media partner for the Phi Moments @ Next event. Neither Quantiphi, the sponsor of theCUBE's event coverage, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.) Photo: SiliconANGLE. A message from John Furrier, co-founder of SiliconANGLE: Support its mission to keep content open and free by engaging with theCUBE community. 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