Quick Byte Archives - ITDigest

S&P Global and Cohere Partner to Deliver Sovereign, Fact-Grounded AI Workflows for Finance

ITDigest Bureau — Tue, 09 Jun 2026 13:02:54 +0000

S&P Global has announced a strategic collaboration with Cohere, a leading global sovereign AI provider, to integrate its trusted financial data directly into Cohere’s secure enterprise platform, North. This powerful alliance allows financial institutions to leverage S&P Global’s essential intelligence across advanced AI and agentic workflows grounded in verifiable fact, accelerating complex research, analysis, and reporting. Grounded in a foundational data retrieval layer built by Kensho, the framework enables regulated enterprises to safely run sensitive on-premise workloads within North, combining external market data with internal proprietary information to deliver faster, citation-backed answers without the friction of building custom pipelines. Emphasizing the operational readiness of this deployment, Bhavesh Dayalji, Chief AI Officer of S&P Global and CEO of Kensho, stated,

Also Read: EXL Partners with NVIDIA to Advance Fraud Detection and Transaction Intelligence

“We’ve done the work on the backend to make our data AI-ready, build the retrieval infrastructure, and partner with best-in-class AI providers, so that customers can simply put S&P Global to work in the platforms they already use. As agentic workflows become the norm, we deliver value by ensuring that customers can access our data seamlessly and accurately, wherever they work.” Highlighting the strategic security benefits for regulated markets, Frank O’Dowd, Chief Revenue & Commercial Officer of Cohere, added, “By combining S&P Global’s financial intelligence with Cohere’s enterprise‑grade sovereign AI platform, we’re giving financial institutions a secure foundation to build agentic workflows wherever their data lives that deliver measurable impact. Regulated industries need AI they can trust with their most sensitive workloads, and they want it deeply connected to the proprietary data that drives their business. This collaboration marks a major step forward in how the global financial ecosystem puts high‑trust AI to work.”

Kong Launches Ascent to Accelerate Legacy API Migrations for the Agentic AI Era

ITDigest Bureau — Tue, 09 Jun 2026 13:02:51 +0000

Kong Inc. has announced the launch of Kong Ascent, an AI-assisted migration offering designed to automate and accelerate the transition from legacy API management systems to Kong Konnect, its unified API and AI platform. Designed to enable organizations to rapidly adjust to the emergence of AI agents as a new type of API consumer, the solution dramatically reduces the traditional migration times by at least half in most cases. Since legacy gateways do not have native support for key AI features like Model Context Protocol (MCP), AI-specific governance, semantic controls, etc. enterprise will encounter a huge mismatch between their aspirations for AI and their current infrastructures. In fact, the long timelines and risks of legacy migrations that have traditionally led to the freezing of modernization efforts, Kong Ascent merges AI automation with human intervention by Kong Professional Services to eliminate risks and accelerate the transition.

Also Read: Bitwise and HoneyHive Partner to Advance Governed and Scalable Enterprise AI

This allows organizations to establish a unified platform built for API, AI, event, and agent connectivity while maintaining strict cost and security controls. Explaining the operational necessity of this new offering, Reza Shafii, SVP of Product, Kong, stated: “Every enterprise software vendor is racing to make their platforms accessible to AI agents. The challenge for most organizations is that the APIs powering their business were never designed to be discovered, governed, secured, and consumed by agents. Kong gives customers the platform they need to make their APIs agent-ready, and Ascent dramatically accelerates the journey.” Currently available for migrations from MuleSoft® environments with more platforms to follow, Kong Ascent provides enterprises with the foundational agility needed to confidently scale agentic AI workflows.

EXL Partners with NVIDIA to Advance Fraud Detection and Transaction Intelligence

ITDigest Bureau — Mon, 08 Jun 2026 11:50:35 +0000

Global data and AI firm EXL has announced a strategic integration with NVIDIA, embedding NVIDIA’s “Build Your Own Transaction Foundation Model” developer blueprint directly into its flagship orchestration platform, EXLerate.ai. The strength of this combination takes finance out of the legacy rule-based environment into an advanced system that is adaptable and uses a unified transformer architecture to handle billions of transactions, such as payments, behaviors, and product interactions. With large-scale deployment of the models, the system will be able to enable real-time contextual analysis for advanced use cases like anomaly detection and fraud. Highlighting the friction this integration resolves, Kevin Levitt, senior director of global business development for the financial services industry at NVIDIA, noted,

Also Read: Bank of America Set to Launch Global Cross-Border Real-Time Payments Solution

“Every financial institution is sitting on decades of transaction data that holds the answer to their biggest challenges fraud, risk, underwriting, customer experience. By integrating the Build Your Own Transaction Foundation Model developer example with EXL’s deep financial services expertise, financial institutions create a shared intelligence fabric that drives smarter decisions and better customer outcomes.” Emphasizing how the alliance eliminates traditional organizational silos, Vikas Sharma, head of banking and capital markets at EXL, added, “The next frontier of enterprise AI is built on unified transaction intelligence. For years, firms have built separate models for fraud, underwriting, risk and customer engagement, but the future belongs to institutions that can create a unified intelligence layer across all transaction activity. By leveraging this new blueprint with EXL’s deep domain expertise and AI engineering capabilities, we are helping clients build that foundation faster and at enterprise scale.” Ultimately, this expanded roadmap empowers regulated organizations to confidently scale enterprise AI and production-ready agentic workflows.

Hivelocity Launches Bare Metal Cloud Suite to Deliver Predictable Cloud Economics

ITDigest Bureau — Mon, 08 Jun 2026 11:50:31 +0000

Hivelocity, a leading provider of bare metal infrastructure and cloud hosting, has recently unveiled its SaaS Bundle, a one-stop-shop bare metal cloud package that has been designed to deliver the automated workflow of traditional public clouds and the cost predictability and dedicated performance of bare metal economics. It focuses on high-volume, compute-heavy uses like AI, data analytics, and large-scale SaaS environments by matching dedicated physical hardware with automated launch pipelines, API-driven scaling, and full-fledged cloud management tools. A major enterprise challenge is solved by Hivelocity offering a fully revealed, fixed-monthly billing structure, thereby putting an end to the usually unpredictable data egress fees and variable resource charges that often lead to public cloud cost inflation.

Also Read: IBM Cloud Unveils Sovereignty Risk Profile to Strengthen AI and Data Compliance

Highlighting the strategic impact of this deployment model on enterprise operations, Richard Nicholas, CEO of Hivelocity, stated, “Our new SaaS Bundle represents the convergence of cloud-native automation and bare metal performance. For companies managing data-intensive workflows, public cloud costs have become an erratic, major operational burden. With this suite, we are giving organizations the automated deployment and scaling capabilities they expect from the public cloud, but with the dedicated power, security, and absolute price predictability that only bare metal infrastructure can provide. It is designed to change how growing technology companies scale their operations without compromising their bottom line.” Ultimately, by bridging operational flexibility with infrastructure-level transparency, Hivelocity provides digital businesses with a scalable, highly reliable alternative to public cloud hyper-scalers, enabling predictable financial management alongside uncompromised performance.

Bank of America Set to Launch Global Cross-Border Real-Time Payments Solution

ITDigest Bureau — Fri, 05 Jun 2026 11:55:07 +0000

Bank of America has announced plans to launch a cross-border real-time payments solution next quarter, empowering corporate, commercial, and financial institution clients to execute instant international fund transfers via Swift or its flagship digital platform, CashPro. Developed to address the escalating demand for faster, transparent global transactions, the incoming service is purpose-built to streamline high-volume, low-value flows—including international remittances, gig-worker payouts, and e-commerce marketplace vendor payments. The infrastructure seamlessly links into established local networks, such as Mexico’s SPEI, the United Kingdom’s Faster Payments Service, and India’s Unified Payments Interface, facilitating direct local-currency delivery to beneficiaries and inbound tracking within the United States. Key features of the offering include real-time visibility, pre-validation of recipient account data to drastically minimize failed payments, and full-principal preservation without any hidden lifting fees or transaction deductions.

Also Read: 2C2P by Antom Taps AWS and Generative AI to Scale Southeast Asia Payments Operations

Commenting on the milestone, Mark Monaco, head of Global Payments Solutions (GPS) at Bank of America, stated, “Around the world, policymakers and financial institutions share a common goal: making cross‑border payments faster, more transparent, more affordable, and more accessible. This new capability directly supports the G20 payment objectives while giving our clients a scalable, reliable way to move money globally—without adding operational complexity.” Furthermore, the platform integrates via host-to-host channels or application programming interfaces (APIs) to minimize technical overhead. Highlighting the system’s architecture, Daniel Stanton, Payments Product Head in GPS at Bank of America, added, “We designed this solution with simplicity, trust, and scale in mind. By combining established payment rails with real‑time capabilities and seamless integration, we’re giving clients a practical new option for global payments.”

Cognizant and ServiceNow Join Forces to Operationalize Enterprise AI Governance at Scale

ITDigest Bureau — Fri, 05 Jun 2026 11:55:03 +0000

Cognizant has announced a strategic integration linking its Cognizant Neuro® AI Trust platform with ServiceNow to deliver a continuous, automated AI governance infrastructure built for the regulated enterprise. By pairing ServiceNow’s AI Control Tower—which serves as a unified command center for observability with Cognizant’s real-time assurance layer and library of specialized Guardian agents, the joint solution helps organizations actively enforce compliance across complex, multi-cloud, and third-party agentic networks. The platform comes equipped with pre-built guardrails aligned to major international frameworks like the EU AI Act, NIST AI RMF, and ISO 42001, effectively pivoting corporate oversight from static periodic auditing to a continuous, execution-driven operating model. Commenting on the operational necessity of this rollout, Sriram Kumaresan, Global Head of Cloud and Infrastructure Services at Cognizant, stated, “The market has solved AI access. What enterprises now need is the ability to operate AI responsibly at the scale and speed their businesses demand. With this integration, customers gain not just a platform for visibility, but an active operating layer that helps organizations operationalize and monitor responsible AI behavior continuously as their systems learn, adapt and act.”

Also Read: Gusto Introduces AI-Powered ‘Cofounder’ to Help Small Businesses Automate Daily Operations

Underscoring the critical importance of a centralized oversight architecture, John Aisien, senior vice president and general manager, Central Product Management, Security & Risk at ServiceNow, added, “The agentic AI terrain is expanding quickly in scope and in business impact, and yet the visibility gap is palpable. AI Control Tower gives organizations a single command center to govern every model, every agent and AI asset, and their identities and associated permissions across the enterprise, not just inside ServiceNow. Together with Cognizant, we’re closing this gap: connecting deployment to accountability, through a unified approach to governance. With a comprehensive framework for discovering, monitoring, managing and scaling AI, organizations can accelerate innovation while maintaining trust and control across their operations.” Ultimately, this partnership resolves a critical corporate bottleneck, transforming AI governance from a source of operational friction into a scalable accelerator for business transformation.

OQC, JPMorganChase, and AMD Launch London-Based Hybrid Quantum-AI Platform

ITDigest Bureau — Thu, 04 Jun 2026 11:49:49 +0000

OQC, JPMorganChase, and AMD teamed up for some serious research action. They built a shiny new Quantum-AI Data Centre in London. Set to be ready in about a year, this place will blend OQC’s GENESIS quantum system with AMD’s AI tech and top-notch classical computing gear. This setup aims to make some big breakthroughs in the world of advanced computing. JPMorganChase will serve as the platform’s inaugural dedicated user, testing hybrid quantum-classical workflows to address complex financial services challenges like portfolio optimization, quantum machine learning, and specialized AI models designed to improve quantum circuit performance. Emphasizing the commercial impact of this initiative, Gerald Mullally, CEO of OQC, stated, “Quantum computing has to move from isolated experiments into the secure compute environments where enterprises actually work. That is what we are building with JPMorganChase’s quantum research expertise: a dedicated quantum-AI platform for financial services that combines quantum hardware, AI and high-performance computing to support serious technical research and move the industry closer to practical quantum applications.”

Also Read: IBM Pledges $10 Billion to Accelerate Fault-Tolerant Quantum Computing

Highlighting the strategic benefits for the financial sector, Lori Beer, global chief information officer of JPMorganChase, added, “The financial services industry depends on understanding complexity, managing risk and making decisions with speed, security and confidence. Through this partnership, our teams will have a dedicated environment to research the near-term utility of hybrid quantum-classical computing in finance and assess how quantum, AI and high-performance computing can work together to address real-world challenges.” Supporting this infrastructure view, Mark Papermaster, executive vice president and chief technology officer at AMD, noted, “Advancing quantum-AI research will require tightly integrated compute platforms that bring together quantum systems, AI infrastructure and high-performance classical computing. AMD is pleased to support OQC and its dedicated environment, which will explore hybrid quantum-AI workflows for financial services and evaluate their performance, scalability and reproducibility in a secure enterprise setting.” Ultimately, this venture marks a definitive transition from theoretical, isolated quantum experimentation into scalable, secure, and production-ready enterprise workflows.

Deloitte, Google Cloud, and Wiz Unite to Launch Agentic AI Cyber Defense Solution

ITDigest Bureau — Thu, 04 Jun 2026 11:49:44 +0000

Deloitte has extended its strategic partnership with Google Cloud and Wiz to build and deliver a human-in-the-loop cyber defense platform integrated with AI. Combining Google Cloud’s recently introduced AI Threat Defense product, which uses Gemini frontier models, with Wiz’s cloud and AI risk prioritization in real-time, and Mandiant’s incident response insights from the front line, Deloitte’s Continuous Threat Exposure Management (CTEM) platform collaborative work creates a highly automated digital workforce. This integrated system introduces a generation of tailor-made AI agents with a deep understanding of the business context, which are capable of automatic vulnerability detection, code analysis, and auto-remediation of hybrid and multi-cloud environments, thereby getting rid of fragmented tool silos and drastically decreasing operational costs.

Also Read: Didit Raises $7.5M to Advance AI-Native Identity Infrastructure

Adnan Amjad, US Cyber Leader at Deloitte, highlighted the transformative shift, stating, “We are at an inflection point where traditional approaches to security operations can no longer keep pace with the threat landscape. By bringing together Google Cloud’s agentic AI, Wiz’s deep cloud context and Deloitte’s security integration experience, we are helping to pioneer a new paradigm. This human-led, AI-powered approach allows organizations to build resilience by design and manage cyber risk at the speed of business.” Furthermore, Francis deSouza, Chief Operating Officer at Google Cloud and President of Security Products, emphasized the scale of the deployment, adding, “You can’t bring traditional security to an AI fight. AI Threat Defense combines Wiz’s multicloud visibility with Google’s AI and security expertise. Collaborating with Deloitte to deliver customizable, agentic defense helps us scale this offering, empowering organizations to stop AI-driven threats at machine speed.”

Mayo Clinic and Microsoft Join Forces to Build Advanced AI Model for Healthcare

ITDigest Bureau — Wed, 03 Jun 2026 13:07:13 +0000

Mayo Clinic and Microsoft have launched a joint venture that entails the creation of an advanced AI model that is designed specifically for the healthcare industry, bringing together the clinical expertise, anonymized health datasets, and patient insights from Mayo Clinic with the advanced AI technologies, cloud computing, and engineering skills offered by Microsoft. The objective behind the development of this healthcare AI model is to manage different clinical applications, including early diagnosis and personalized treatment, among others. While traditional AI models are not usually developed with such applications in mind, the one created jointly by Mayo Clinic and Microsoft was built with clinical knowledge, governance, and validation in mind.

Also Read: SandboxAQ Integrates Quantitative AI Models With Claude to Accelerate Scientific Discovery

The model will initially be tested within the Mayo Clinic facility. Ownership of the AI model will belong to Mayo Clinic, but Microsoft intends to distribute it via Azure Foundry APIs. Commenting on the collaboration, Gianrico Farrugia, M.D., president and CEO, Mayo Clinic, said, “Now, by combining our clinical expertise and data foundation with Microsoft’s engineering and AI capabilities, we are once again building something new in healthcare and bringing more of Mayo Clinic to more patients.” The partnership seeks to improve patient outcomes while expanding access to trusted healthcare expertise globally.

IBM Pledges $10 Billion to Accelerate Fault-Tolerant Quantum Computing

ITDigest Bureau — Wed, 03 Jun 2026 13:07:09 +0000

IBM has made an announcement that it will spend more than $10 billion in the field of quantum computing during the next five years. This strategy will ensure IBM’s dominance in the dynamically developing market, helping achieve the company’s objective of developing the first scalable and fault-tolerant quantum computer by 2029. Funds will be used for research and development, manufacturing, mergers and acquisitions, ecosystem development, and infrastructure development. On the basis of its large quantum computing portfolio, IBM runs over 90 quantum computing systems around the world and is connected to over 340 organizations utilizing quantum computing technology.

Also Read: IBM and U.S. Commerce Department Launch America’s First Purpose-Built Quantum Foundry

The company also highlighted progress toward its IBM Quantum Starling and Blue Jay systems, which are expected to significantly expand computational capabilities. Commenting on the announcement, Arvind Krishna, Chairman & CEO, IBM, said, “The quantum era is no longer ahead of us, it has started. Our clients, partners and users around the world are tapping into IBM quantum computers to do work that was impossible a few years ago. The pace of discovery with quantum computers is accelerating rapidly and this investment powers our ability to deliver the next generation of quantum hardware, software, and manufacturing.”

Quick Byte Archives - ITDigest

S&P Global and Cohere Partner to Deliver Sovereign, Fact-Grounded AI Workflows for Finance

Also Read: EXL Partners with NVIDIA to Advance Fraud Detection and Transaction Intelligence

Read More: S&P Global Expands AI Ecosystem Reach with Cohere to Power Trusted, Agentic Workflows for Financial Institutions

Kong Launches Ascent to Accelerate Legacy API Migrations for the Agentic AI Era

Also Read: Bitwise and HoneyHive Partner to Advance Governed and Scalable Enterprise AI

Read More: Kong Launches Ascent to Eliminate Legacy API Migration Risk and Help Enterprises Get Agentic AI-Ready

EXL Partners with NVIDIA to Advance Fraud Detection and Transaction Intelligence

Also Read: Bank of America Set to Launch Global Cross-Border Real-Time Payments Solution

Read More: EXL announces integration with NVIDIA Transaction Foundation Model workflow to help financial institutions build next-generation AI for fraud, risk and transaction intelligence

Hivelocity Launches Bare Metal Cloud Suite to Deliver Predictable Cloud Economics

Also Read: IBM Cloud Unveils Sovereignty Risk Profile to Strengthen AI and Data Compliance

Read More: Hivelocity Launches SaaS Bundle – Cloud Workflow, Bare Metal Economics, Predictable Bill

Bank of America Set to Launch Global Cross-Border Real-Time Payments Solution

Also Read: 2C2P by Antom Taps AWS and Generative AI to Scale Southeast Asia Payments Operations

Read More: Bank of America to Launch Cross-Border Real-Time Payments, Expanding Global Payment Choice

Cognizant and ServiceNow Join Forces to Operationalize Enterprise AI Governance at Scale

Also Read: Gusto Introduces AI-Powered ‘Cofounder’ to Help Small Businesses Automate Daily Operations

Read More: Cognizant announces ServiceNow partnership to accelerate scalable, operationalized AI governance at enterprise scale

OQC, JPMorganChase, and AMD Launch London-Based Hybrid Quantum-AI Platform

Also Read: IBM Pledges $10 Billion to Accelerate Fault-Tolerant Quantum Computing

Read More: OQC, JPMorganChase and AMD Commence Research Collaboration to Develop New Quantum-AI Platform in London

Deloitte, Google Cloud, and Wiz Unite to Launch Agentic AI Cyber Defense Solution

Also Read: Didit Raises $7.5M to Advance AI-Native Identity Infrastructure

Read More: Deloitte Collaborates with Google Cloud and Wiz on Human-in-the-Loop, AI-Powered Cyber Defense

Mayo Clinic and Microsoft Join Forces to Build Advanced AI Model for Healthcare

Also Read: SandboxAQ Integrates Quantitative AI Models With Claude to Accelerate Scientific Discovery

Read More: Mayo Clinic and Microsoft collaborate to develop a frontier AI model for healthcare

IBM Pledges $10 Billion to Accelerate Fault-Tolerant Quantum Computing

Also Read: IBM and U.S. Commerce Department Launch America’s First Purpose-Built Quantum Foundry

Read More: IBM Commits More Than $10 Billion to Quantum Computing, Funding Its Roadmap from Today’s Leading Systems to the World’s First Fault-Tolerant Quantum Computers