Latest news with #Quantiphi
Yahoo
07-08-2025
- Business
- Yahoo
Quantiphi Achieves Google Cloud Data Management Specialization
MARLBOROUGH, Mass., Aug. 7, 2025 /PRNewswire/ -- Quantiphi, an AI-first digital engineering company, today announced it has achieved the Google Cloud Partner Advantage Specialization in Data Management for demonstrating a strong track record in helping enterprises build scalable, resilient and secure data infrastructure with Google Cloud. This specialization recognizes Quantiphi's proven expertise in helping enterprises leverage Google Cloud's advanced, AI-ready databases and vector stores to modernize legacy data systems like Mainframe DB2, SQL Server, Sybase, Percona, etc. By enabling intelligent, modern applications built on scalable, context-aware architectures, Quantiphi empowers organizations to accelerate time-to-value, reduce operational overhead, enhance data governance and unlock real-time insights that fuel enterprise AI transformation. "We're entering a new era where generative AI is becoming central to how businesses operate and innovate," Quantiphi Practice Leader, Global Strategic Pursuits and Data Cloud, Mohak Moondra said. "To unlock its full potential, organizations need data architectures that are purpose-built for AI—starting with the right database foundation. Google Cloud solutions like Spanner and AlloyDB for PostgreSQL are enabling the shift to AI-native applications, and our Data Management specialization strengthens our ability to help customers build intelligent, context-aware systems from the ground up." This specialization marks the eleventh active Partner Advanced Specialization Quantiphi has received from Google Cloud, including recognition for Machine Learning - Services, Contact Center AI - Services, Marketing Analytics - Services, Generative AI - Services, Data Analytics - Services, Application Development - Services, Infrastructure - Services, Security - Services and Data Analytics Migration - Services. "We are proud to be at the intersection of cloud modernization and AI transformation," Moondra said. "With this specialization, we'll help businesses move from data to decisions faster and more intelligently than ever before." Learn more about Quantiphi's Google Cloud expertise. About QuantiphiQuantiphi is an award-winning AI-first digital engineering company driven by the desire to reimagine and realize transformational opportunities at the heart of business. Since its inception in 2013, Quantiphi has solved the toughest and most complex business problems by combining deep industry experience, disciplined cloud and data engineering practices, and cutting-edge artificial intelligence research to achieve accelerated and quantifiable business results. Learn more at and follow us on Linkedin, X, formerly Twitter and Instagram. Media Contact:H. Newsroom View original content to download multimedia: SOURCE Quantiphi Error while retrieving data Sign in to access your portfolio Error while retrieving data
Forbes
06-08-2025
- Business
- Forbes
The AI Customer Experience Revolution: A New Era Of Human-Centered Intelligence
Asif Hasan, Co-founder and President, Quantiphi, Inc. Over the past decade, customer experience (CX) has undergone a major transformation. We've moved from rudimentary online support to deeply personalized, omnichannel interactions. As I've seen across industries we work with, this evolution has fundamentally altered consumer expectations. People now expect instant access and around-the-clock responsiveness, which has led businesses to race to integrate automation with a human touch. Today, we're at a pivotal moment where AI is now a tangible force with the potential to reshape how enterprises and customers connect. From hyper-personalization to predictive interactions that anticipate intent, AI has permeated the core of CX transformation. The numbers tell a compelling story: By 2029, the market for AI in customer experience is projected to reach $46.9 billion, growing at 27.5% annually. From Supporting Actor To Leading Role: The AI Evolution In CX We all remember the days of battling robotic IVR systems, shouting "representative!" into the phone. Today, AI creates deeply intuitive, efficient connections that anticipate needs. AI in CX has advanced across several dimensions: • From Reactive Support To Proactive Service: AI now predicts needs before customers articulate them. • From Mechanical Scripts To Contextual Comprehension: Natural language models can discern nuance, emotion and intent in real time. • From Structured Logic To Adaptive Learning: AI systems refine themselves with every interaction. This transformation reflects a shift from efficiency-centric operations to experience-first thinking, where customer relationships are cultivated, not just managed. The pervasive integration of AI into our daily lives through apps, wearables and smart assistants has fundamentally redefined what constitutes "great service." What's Changing Now Will Define The Future Of CX Here are three AI-driven shifts that, if harnessed, will redefine how we approach customer experience in the future: Emotionally intelligent AI enhances CX by responding to emotions in real time, building trust, personalizing interactions and effectively addressing frustrations. AI is shifting from simple transactional automation to emotionally aware interaction, with multimodal systems now able to detect sentiment through voice, facial expressions and tone to adjust communication in real time. I'm seeing more companies invest in AI that can adapt its tone, timing and messaging based on emotional intelligence. The result could be higher CSAT and NPS scores, reduced churn and stronger emotional connections at scale. Static journey maps are quickly becoming obsolete as customer journeys grow more fluid, stretching across devices, time zones and emotional states. AI now enables continuous recalibration of the customer path based on behavior, context and shifting preferences. I believe we'll soon see rigid maps replaced by AI-powered experience orchestration engines that analyze vast data in real time, anticipate customer needs and guide the next best interaction. Companies that adopt this approach may see up to a 25% increase in customer satisfaction, along with improved cross-sell opportunities and greater customer lifetime value. We're shifting from an era of blind faith in technology to one of informed trust, as customers increasingly demand transparency around AI's recommendations, data sources and potential biases. In my view, adopting explainable AI (XAI) and building systems that prioritize transparency, fairness and ethics from the start will become essential for enterprises. A recent report shows that 94% of customers are more likely to stay loyal to brands that champion transparency and data ethics. These businesses can expect stronger retention, higher AI adoption and substantially lower compliance risks. Beyond The Shift: Crafting An AI-First CX Ecosystem The most successful enterprises won't just use AI tools; they will embed AI into the DNA of their CX strategy, creating a cohesive ecosystem with three defining traits: To achieve unified intelligence across an enterprise, barriers between departments will be torn down by maintaining one continuous, evolving conversation across channels and enabling effortless transitions from chat to voice to email. Future-ready enterprises will create hybrid operating models where humans and AI work in tandem. AI will take the lead on repetitive and predictive tasks, while human agents focus on complex, empathy-driven problem-solving. Enterprises that lead the next era of CX will architect transparent AI systems built with fairness, bias prevention and privacy-first design. A Glimpse Into The Future: Real-World CX Innovations AI in CX isn't some distant dream; it's here, it's real and it's scaling fast. Let me share a few examples that have inspired me. • Conversational AI In Automotive: Volvo's in-car integration of Gemini AI allows drivers to navigate with context or ask nuanced questions like, "How do I change a tire?" It's enhanced CX through conversational intelligence. • Spatial Intelligence In Retail: Lowe's is creating digital twins of its retail locations, using Nvidia Omniverse and AI-powered spatial intelligence, to optimize store layouts, product placement and seasonal planning, transforming in-store experiences. • Immersive Communication: Google Beam creates 3D experiences for video calls using AI and cameras for immersive CX in retail, consulting or B2B sales. • AI-Powered Virtual Care: Cedars-Sinai deployed CS Connect, an AI-driven virtual care platform that automates patient intake, triage and preliminary diagnostics. It integrates intelligent agents into the patient journey, improving care access and enabling clinicians to focus on delivering human-centered treatment at scale. Conclusion In my experience working with CX leaders across industries, the next 12 months will be critical. If you're leading this transformation, here's what I believe should be at the top of your agenda: • Build emotionally aware systems that understand not just what your customers want but how they feel. • Create adaptive experiences that evolve dynamically based on context, behavior and real-time signals. • Prioritize trust and transparency by embedding explainability, fairness and privacy into the heart of your AI systems. For CX and tech leaders: Are you building for the future, or just reacting to the present? Winning companies will embed AI into the DNA of their customer strategies. The path forward is clear. It's time to lead it. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
Yahoo
30-07-2025
- Business
- Yahoo
Quantiphi, Snowflake Accelerate Chalo's AI-Driven Data Modernization for Public Transport Transformation
MARLBOROUGH, Mass., July 30, 2025 /PRNewswire/ -- Quantiphi, an AI-first digital engineering company and an Elite Tier partner of Snowflake, the AI Data Cloud company, today announced that India's leading public transport technology company, Chalo, has leveraged Snowflake and Quantiphi to modernize its data infrastructure, helping improve Chalo's efficiency, reduce operational costs and scale its rapidly growing data ecosystem. Chalo, which handles more than 4 billion passenger rides and operations annually in 67 Indian cities and 23 international cities across the Philippines, Peru and Fiji, is at the forefront of digitizing public transport through innovations like live bus tracking, mobile ticketing and smart travel cards platform along with various backend IT systems to the operators. Due to its expanding footprint and insufficient unified data strategy, the company previously faced challenges like performance bottlenecks, high operational costs and reduced scalability. Quantiphi Executive Sponsor, Snowflake Alliance and Global Head of Financial Services and Insurance Bhaskar Kalita said Quantiphi helped Chalo navigate these challenges by migrating its data to Snowflake's AI Data Cloud and leveraging Codeaira—Quantiphi's generative AI-powered developer's agent, to accelerate the data migration process and achieve full operational readiness ahead of schedule. "By combining our expertise with Snowflake's powerful data platform we helped Chalo build a scalable and efficient data ecosystem to support its rapid expansion," Kalita said. "This collaboration showcases how strategic partnerships can drive innovation, transform industries and create smarter businesses for the future." "We needed a robust data engineering platform and as the first to leverage Quantiphi's Gen AI accelerator, Codeaira, we achieved nearly 50 percent faster migration," Chalo AVP of Platform Atmesh Mishra said. "In just two months, we were live and fully functional on the new platform, delivering greater value to our customers." With the migration to Snowflake, Chalo can now monitor its internal metrics and send alerts to passengers in case of delays or anomalies in operations. This has helped Chalo increase operational efficiency by optimizing routes, managing demand forecasting and personalizing user experiences. "Our collaboration with Chalo has enabled it to democratize data and help its teams make quick data-driven decisions for business growth," Snowflake Director, Head of Partnerships, India Dhiraj Narang said. "Partnering with Quantiphi accelerated this transformation, laying the foundation for future AI-driven innovations in public transportation. By leveraging Snowflake's AI Data Cloud, Chalo can now securely process vast amounts of transit data with greater efficiency, improving fleet management, reducing costs and optimizing decision-making at scale." Learn more about how Quantiphi and Snowflake enabled transformational data modernization for Chalo. About Quantiphi:Quantiphi is an award-winning AI-first digital engineering company driven by the desire to reimagine and realize transformational opportunities at the heart of business. Since its inception in 2013, Quantiphi has solved the toughest and most complex business problems by combining deep industry experience, disciplined cloud and data engineering practices, and cutting-edge artificial intelligence research to achieve accelerated and quantifiable business results. Learn more at and follow us on LinkedIn, X, formerly Twitter, Instagram and YouTube. Media Contact:H. Newsroom View original content to download multimedia: SOURCE Quantiphi Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Yahoo
04-06-2025
- Business
- Yahoo
Quantiphi Partners with Snowflake on Snowflake Openflow Launch to Power AI Data Integration
SAN FRANCISCO, June 4, 2025 /PRNewswire/ -- Quantiphi, an AI first digital engineering company, announced at Snowflake's annual user conference, Snowflake Summit 2025, that it has partnered with Snowflake, the AI Data Cloud company, to support the launch of Snowflake Openflow — a multi-modal data ingestion service that allows users to easily connect to a variety of data sources and drive value from any data architecture, revolutionizing data movement and accelerating enterprise-grade data integrations built for the AI era. Snowflake Openflow is an open, extensible, managed, multi-modal integration service that simplifies data movement between data sources and destinations for various data types, including structured, unstructured, batch and streaming. With Snowflake Openflow, enterprises can move data effortlessly and scale operations for all integration needs with confidence, all within Snowflake's easy, connected and trusted platform. "Snowflake Openflow is a game-changer for data integration, making previously trapped data accessible and usable," Quantiphi Snowflake Alliance Head Pronoy Roy said. "Together with Quantiphi's AI expertise, we are enabling our shared customers to rapidly unlock insights and foster a truly data-driven culture, turning data into a valuable business asset. Customers will be able to significantly reduce friction in integrating data sources, innovate faster and derive tangible value from the entirety of an organization's data landscape." As a longstanding Elite Partner in the Snowflake ecosystem, Quantiphi has consistently led innovation at the intersection of AI, machine learning and modern data platforms. With a proven track record of excellence and multiple accolades, Quantiphi pushes boundaries by embracing emerging technologies and delivering transformative business outcomes for the companies' shared customers. By leveraging the enhanced capabilities of Openflow and Quantiphi's built-in generative AI accelerators, Quantiphi will empower customers to build unified and intelligent data estates, streamline end-to-end ML pipelines, and productionize next-gen AI use cases at industry-leading speed. "Snowflake Openflow is changing how businesses handle their data by making it easier to connect, process, and analyze information across their organization," Snowflake Director of Product Management Saptarshi Mukherjee said. "It helps companies work with their data faster and more efficiently, while keeping it secure - allowing them to focus on using AI to get the most value from their information." As a pioneer in bringing the power of AI agents to large-scale Extract Transform Load (ETL) modernization and migration initiatives, Quantiphi brings a unique advantage of 200-plus ready-to-use utilities, human-guided agents and advanced code auto-complete features to help customers innovate with speed and precision. Coupled with Openflow's integration power, Quantiphi simplifies legacy workflows, consolidates siloed systems and rapidly operationalizes AI at scale, maximizing ROI and unlocking faster time-to-insight across the Software Development Life Cycle (SDLC). To learn more about Quantiphi, visit To learn more about Snowflake Openflow, visit the Snowflake blog here. Stay up to date on the latest news and keynotes from Snowflake Summit 2025 live or on-demand here. About Quantiphi:Quantiphi is an award-winning AI-first digital engineering company driven by the desire to reimagine and realize transformational opportunities at the heart of business. Since its inception in 2013, Quantiphi has solved the toughest and most complex business problems by combining deep industry experience, disciplined cloud and data engineering practices, and cutting-edge artificial intelligence research to achieve accelerated and quantifiable business results. Learn more at and follow us on LinkedIn, X, formerly Twitter, and Instagram and YouTube. Media Contact:H. Newsroom View original content to download multimedia: SOURCE Quantiphi Sign in to access your portfolio
Yahoo
28-05-2025
- Business
- Yahoo
Quantiphi Unveils Phi Labs Research and Development Hub, Accelerating Breakthroughs in Generative AI, Life Sciences, Digital Twins
MARLBOROUGH, Mass., May 28, 2025 /PRNewswire/ -- Quantiphi, an AI-first digital engineering company, today unveiled Phi Labs by Quantiphi, the formal identity of Quantiphi's long-standing Research and Development (R&D) hub, addressing real-world business challenges through breakthrough AI solutions. Quantiphi's Research and Development has been at the forefront of innovation in Generative AI, Life Sciences and Digital Twins since 2018, with a patent portfolio that underscores its commitment to future-proofing its technology. Now known as Phi Labs by Quantiphi, the R&D hub's pioneering work has been featured in leading forums like Neural Information Processing Systems (NeurIPS) and the International Conference on Machine Learning (ICML). "Phi Labs embodies Quantiphi's vision to redefine AI's business impact," Quantiphi Global R&D Head Dagnachew (Dan) Birru said. "By integrating cutting-edge research with practical applications, we enable our clients to navigate the evolving AI landscape with confidence." Phi Labs' key achievements include: Technology and IP Transfers: More than 15 transfers leading to accelerators and product launches like baioniq, Dociphi and Codeaira Innovative Milestones: Projects ranging from Speech-to-Text for Finance, 3D-GANs for seismic imaging and advanced healthcare diagnostics, achieving up to a 90 percent reduction in processing time Recent Developments: From 2021 to 2024, Quantiphi filed 50-plus patents—including 30-plus by Phi Labs, secured multiple technology transfers and earned accolades through academic collaborations and publications, including being featured in the Financial Times. Phi Labs by Quantiphi focuses on: Generative AI: Advanced reasoning, agentic workflows, efficient models and intelligent document processing Life Sciences: Small molecule synthesis, genomics, protein engineering and pharmacovigilance Digital Twins: Operations optimization, digital twin agents, engineering simulation and climate risk modeling Quantum Computing: Quantum machine learning, hybrid quantum-classical systems "Unlike labs driven by theory, our approach embeds innovation into enterprise environments directly, while upholding Responsible AI standards," Birru said. "Our engineering-driven team pairs deep research with industry expertise, ensuring every solution delivers tangible business impact." About Quantiphi:Quantiphi is an award-winning AI-first digital engineering company driven by the desire to reimagine and realize transformational opportunities at the heart of business. Since its inception in 2013, Quantiphi has solved the toughest and most complex business problems by combining deep industry experience, disciplined cloud and data engineering practices, and cutting-edge artificial intelligence research to achieve accelerated and quantifiable business results. Learn more at and follow us on LinkedIn, X, formerly Twitter, and Instagram and YouTube. Media Contact:H. Newsroom View original content to download multimedia: SOURCE Quantiphi Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
