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Eventus, Datos Insights release new trade surveillance report highlighting increased AI adoption, rising demand for cross-asset, holistic surveillance strategies

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New study reveals continued high false-positive rates along with data, technology and talent gaps across global capital markets

AUSTIN, Texas and BOSTON, May 28, 2025 /PRNewswire/ — Eventus, a leading provider of comprehensive, at-scale trade surveillance and financial risk solutions, and Datos Insights, the leading research and advisory partner to the banking, insurance, securities and payments industries, today released a comprehensive new research report: “The Trade Surveillance Revolution: Compliance Shifts and Cutting-Edge Tech Shake-Up Transforming the Surveillance Function.” The Datos Insights report, commissioned by Eventus, provides an in-depth look at how global financial institutions are modernizing their surveillance functions with AI, cross-asset correlation and adaptive data strategies. 

Based on detailed interviews with senior executives in trade and market surveillance, compliance and technology from 20 leading global banks and broker-dealers, the study reveals that more than 70% of firms report false positive rates in their surveillance alerts that exceed 25%, putting pressure on already stretched compliance teams by adding to their manual workload and increasing the risk of missed threats from “alert fatigue” that can cause important signals to be overlooked. While the majority of firms interviewed have adopted cloud-based or hybrid technology platforms, many still struggle with siloed data, legacy systems, and inconsistent integration across asset classes and regions. Addressing automation with smarter calibration and better data controls is a high priority.

The volume and quality of data are a key challenge as surveillance depends on accurate, complete data, the report concludes. Trade surveillance systems must process vast amounts of data in real time from multiple sources – including order management systems, market data feeds and execution records. The data, often complex, comes in various formats, making timely processing and analysis a significant challenge. The report highlights how inaccurate timestamps, misaligned or missing data and partial execution records can undermine the effectiveness of surveillance. It states: “Ensuring clean and complete data is critical for accurate detection of suspicious trading patterns, yet it remains a persistent issue.”

Travis Schwab, CEO of Eventus, said: “This report surfaces both the challenges and exciting innovation taking place in surveillance functions around the world. From deploying AI and advanced analytics to tackling persistent market and data fragmentation, firms are making important strides but still facing significant obstacles. Collaborating with surveillance providers that bring cross-asset and regulatory expertise, real-world implementation support and a client-driven approach to overcome these obstacles brings the greatest opportunities for success. We’re happy to partner with Datos to shed light on these evolving strategies and provide the industry with a new framework for benchmarking maturity in this space.”

Vinod Jain, Strategic Advisor at Datos Insights, said: “Effective market surveillance is not just about monitoring; it’s about precision, adaptability and leveraging technology to turn high-quality data into actionable insights. As the industry faces growing complexities, integrating AI-driven models and unified frameworks will be key to reducing false positives, strengthening data integrity, and ensuring compliance across jurisdictions. Without reliable, standardized data, even the most advanced surveillance systems risk inefficiency and missed opportunities for detection. False positives are an inherent cost of surveillance, but refinement is key. A balanced approach—where automation enhances efficiency while human validation ensures accuracy—creates a system that is both intelligent and reliable.”

Other key findings from the study include:

Firms are shifting from rules-based surveillance to data-driven frameworks powered by AI, with adaptive filtering, real-time analysis and integrated case management seen as a key opportunity to reduce alert fatigue.As AI adoption accelerates, firms must maintain control and transparency. Whether this is achieved through tuning thresholds or auto-closing alerts, workflows must remain auditable and defensible – particularly in the eyes of regulators.Market participants are focused on development frameworks that support surveillance across equities, derivatives, fixed income and digital assets. In particular, integrating the latter two asset classes with the wider surveillance function can be challenging due to fragmentation or low liquidity in certain names.While firms aim to establish enterprise-wide integrated surveillance with strong governance, practical implementation is often segmented by asset class and legal entities due to jurisdictional requirements and operational complexities. This fragmented approach results in varied surveillance models across regions, requiring tailored compliance measures while maintaining overarching governance standards. Further, firms are challenged with keeping systems up to date with the latest legal requirements, as well as adapting models to new trading strategies, such as for digital assets or new asset classes.Institutions are re-evaluating build-vs-buy strategies as customization demands increase, while many are supplementing vendor platforms with in-house tools.The surveillance workforce is evolving to include data scientists, behavioral analysts and ex-traders, reflecting the growing sophistication, complexity and scale of surveillance operations.

The report also includes access to a Trade Surveillance Maturity Model and self-assessment tool, enabling firms to benchmark their current capabilities and identify practical next steps for improvement.

To download the full report, visit: https://info.eventus.com/the-trade-surveillance-revolution.

About Eventus

Eventus provides state-of-the-art, at-scale trade surveillance software across all lines of defense. Its powerful, award-winning Validus platform is easy to deploy, customize and operate across equities, options, futures, foreign exchange (FX), fixed income and digital asset markets. Validus is proven in the most complex, high-volume, and real time environments of Eventus’ rapidly growing client base, including tier-1 banks, broker-dealers, futures commission merchants (FCMs), proprietary trading groups, market centers, buy-side institutions, energy and commodity trading firms, and regulators. Clients rely on the platform, coupled with the firm’s responsive support and product development, to overcome their most pressing trade surveillance regulatory challenges. For more, visit www.eventus.com.

About Datos Insights

Datos Insights is the leading research and advisory partner to the banking, insurance, securities and payments industries – both the financial services firms and the technology providers who serve them. In an era of rapid change, we empower firms across the financial services ecosystem to make high-stakes decisions with confidence and speed. Our distinctive combination of proprietary data, analytics, and deep practitioner expertise provides actionable insights that enable clients to accelerate critical initiatives, inspire decisive action, and de-risk strategic investments to achieve faster, bolder transformation.

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Bloomberg Introduces Spread-to-Benchmark Quoting for EUR and GBP Portfolio Trading Baskets

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LONDON, June 2, 2026 /PRNewswire/ — Bloomberg today announced the launch of Spread-to-Benchmark quoting and trading for Euro (EUR) and Sterling (GBP) denominated portfolio trades through its Portfolio Trading Basket Builder (PTBB). The new functionality expands the range of quoting protocols available for European credit portfolio trading and reflects growing client demand for spread-based execution workflows, alongside increased dealer support for the convention across EUR and GBP markets.

Spread-to-Benchmark quoting is a well-established protocol for USD credit portfolio trades and is used by market participants to evaluate and execute portfolio trades. By extending this workflow to EUR and GBP portfolio trades, Bloomberg enables clients and dealers to transact using a familiar spread-based methodology across additional credit markets. 

The introduction of Spread-to-Benchmark quoting for EUR and GBP baskets reflects increased client interest in evaluating portfolio trades through a spread-based lens and the growing adoption of spread-based execution workflows in European credit markets. The workflow provides market participants with an additional framework for assessing the relationship between credit spread risk and underlying government bond yields when pricing and executing portfolio trades. 

Additional Workflow Flexibility 
The workflow complements Bloomberg’s existing portfolio trading capabilities, which support the full range of market-standard quoting conventions, including Price, Yield, Spread-to-Benchmark and Spread based workflows that reference Bloomberg’s evaluated pricing service (BVAL). This gives clients flexibility to compare and execute portfolio trades using the quoting methodology that best aligns with their investment objectives, execution preferences and internal risk management processes. 

“European credit clients continue to look for execution workflows that reflect how they evaluate risk and monitor portfolio trading outcomes,” said Harry Street, Global Head of Credit and Equities Trading Product at Bloomberg. “By expanding dealer support for Spread-to-Benchmark quoting for EUR and GBP baskets, Bloomberg is broadening the range of workflow options available to clients trading European credit portfolios.” 

“Portfolio trading workflows in fixed income continue to become more sophisticated as institutional investors look for ways to evaluate execution quality in changing market conditions,” said Kevin McPartland, Head of Market Structure & Technology Research at Crisil Coalition Greenwich. “Spread-based quoting helps market participants more clearly distinguish between the impacts of credit spread and underlying rates movements when determining how best to execute a portfolio trade.” 

Bloomberg’s Electronic Markets solutions are used by leading financial institutions to trade efficiently in over 175 markets around the world. More than 9,000 client firms use Bloomberg Electronic Markets to access industry-leading depth and breadth of liquidity across asset classes from over 800 dealers globally. Bloomberg Electronic Markets provides market participants with comprehensive solutions across the trading lifecycle, including robust price transparency, analytics, automation and execution, powered by Bloomberg’s high-quality, multi-asset class data and tools.

About Bloomberg
Bloomberg is a global leader in business and financial information, delivering trusted data, news, and insights that bring transparency, efficiency, and fairness to markets. The company helps connect influential communities across the global financial ecosystem via reliable technology solutions that enable our customers to make more informed decisions and foster better collaboration. For more information, visit Bloomberg.com/company or request a demo.

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SOURCE Bloomberg L.P.

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Dr. Sunho Kang, a senior battery-technology executive with leadership experience at major global battery and EV manufacturers, joins TeraWatt Technology as Head of Product and Technology

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SAN FRANCISCO, June 2, 2026 /PRNewswire/ — TeraWatt Technology Inc. (Headquartered in California, USA) is pleased to announce that Dr. Sunho Kang has joined the company as Head of Product and Technology.

Dr. Kang is a globally recognized battery-technology executive with more than 25 years of leadership experience spanning the United States, Asia, and Europe, and a distinguished track record of advancing innovations from laboratory research through gigafactory-scale production. He has held senior executive positions at world-leading organizations including Samsung SDI, Apple, and Volkswagen Group of America, and brings deep expertise in lithium-ion battery materials, cell engineering, and product industrialization across a broad range of applications, including electric vehicles and energy storage systems.

At TeraWatt, Dr. Kang will lead global product development and the commercialization of TeraWatt’s battery technology platform, aiming to accelerate the delivery of TeraWatt’s competitive products as well as the technology and commercialization roadmap including manufacturing scale-up.

Dr. Kang commented:

“I am thrilled to join TeraWatt Technology as Head of Product and Technology. TeraWatt’s innovative battery platform presents a tremendous opportunity to push the boundaries of lithium-ion technology, and I look forward to working with the team to accelerate product development and commercialization to deliver meaningful impact.”

TeraWatt Technology founder CEO Ken Ogata, Ph.D. commented:

“We are thrilled to welcome Dr. Kang as our Head of Product and Technology. His deep expertise in battery materials, cell engineering, and productization will be instrumental in accelerating TeraWatt’s product roadmap and technology leadership. Together with Dr. Kang, we will continue to drive our mission forward.”

About TeraWatt Technology Inc.
TeraWatt Technology Inc. is a California-based company that produces lightweight, high-power, and safe next-generation lithium-ion batteries.

Company Overview
Name: TeraWatt Technology Inc.
Representative: Co-founder and CEO Ken Ogata
Headquarters: 28 Geary St, Suite 650, San Francisco, CA 94108, United States
Founded: January 2020
Established: December 2019
URL: https://www.terawatt-technology.com/

 

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SOURCE TeraWatt Technology Inc.

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Tencent Cloud and Soniox Announce Strategic Partnership: Combining Advanced Speech-to-Text (STT) Technology with Global Real-Time Infrastructure

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HONG KONG, June 2, 2026 /PRNewswire/ — Tencent Cloud, the cloud business of global technology company Tencent, today announced a strategic partnership with Soniox, a San Francisco-based speech AI company that specializes in developing high-accuracy, low-latency speech AI solutions. The collaboration integrates Soniox’s speech-to-text (STT) technology with Tencent Cloud’s Real-Time Communication (TRTC) enterprise-grade global infrastructure, enabling enterprises to build and deploy multilingual voice AI applications across 200+ countries and regions.

Elevating Enterprise Voice AI at a Global Scale

In enterprise voice AI deployments, latency directly affects user experience and application reliability. The integration of Soniox’s high-accuracy, low-latency STT with TRTC’s global transmission infrastructure reduces latency across the entire pipeline, creating a comprehensive end-to-end solution for enterprises deploying conversational AI applications worldwide.    

Soniox is the voice platform for every language. Unlike legacy speech AI, which was built primarily for English-speakers, Soniox delivers native-speaker accuracy across 60+ languages. Its technology can handle mid-sentence language switching — a user can switch between English and Chinese in a single utterance, and Soniox will capture every word with complete accuracy. All of this works through a single API that works for both speech-to-text and text-to-speech.

By integrating TRTC, the partnership leverages an enterprise-grade real-time communication backbone featuring more than 3,200 global nodes, sub-300 ms worldwide latency, and advanced capabilities such as AI noise suppression and weak-network resilience. These capabilities enable conversational AI applications to operate reliably across diverse network environments, including regions such as Southeast Asia and Africa.

With the roll out of this partnership, developers can integrate the Soniox STT API directly within the Tencent Cloud console. Whether targeting English-speaking markets or supporting languages such as Arabic, Hindi, and Malay, enterprises can build global voice applications — including intelligent customer service, voice assistants, real-time translation, and meeting transcription — to address the demands of expansion into emerging markets and multilingual scenarios.

Wison Xie, Head of Product at Tencent RTC, stated: “Tencent RTC has always been committed to providing reliable real-time communication infrastructure for global enterprises. Our partnership with Soniox brings together our strengths in enterprise-grade audio transmission and Soniox’s advanced speech recognition technology. Together, we are making it easier for businesses to deploy accurate, low-latency voice AI applications across any language and any market.”

Klemen Simonic, CEO at Soniox Inc., stated “At Soniox, our mission is to help businesses understand every word, in any language, with native speaker accuracy and exceptional speed. Partnering with Tencent Cloud combines our speech AI with world-class real-time infrastructure, enabling enterprises to build voice AI experiences that scale globally with low latency and reliability.”

About Tencent Cloud:

Tencent Cloud, one of the world’s leading cloud companies, is committed to creating innovative solutions to resolve real-world issues and enabling digital transformation for smart industries. Through our extensive global infrastructure, Tencent Cloud provides businesses across the globe with stable and secure industry-leading cloud products and services, leveraging technological advancements such as cloud computing, Big Data analytics, AI, IoT, and network security. It is our constant mission to meet the needs of industries across the board, including the fields of gaming, media and entertainment, finance, healthcare, property, retail, travel, and transportation.

About Tencent RTC:

Tencent RTC provides real-time communication solutions, including audio/video calling, live streaming, and in-game voice. With enterprise-grade security, AI-powered enhancements, and a global network of over 3,200 nodes, Tencent RTC powers mission-critical communication for customers worldwide.

About Soniox:

Soniox is a next-generation voice AI company bringing about the end of English-first speech AI. Most people on the planet did not grow up speaking English and often mix languages mid-sentence; and yet legacy speech AI was built for just English. Soniox is different: native-speaker accuracy across 60+ languages, true mid-sentence language switching, and flawless alphanumeric recognition that legacy providers still can’t match. For developers building global apps, Soniox is the only option. Try it for yourself at soniox.com.

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SOURCE Tencent Cloud

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