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Bridgewise Launches AI-Driven Analysis for Global ETFs and Mutual Funds

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Bridgewise’s groundbreaking Fund Analysis solution enables holdings-based analysis to provide in-depth clarity on the risk and performance of fundsThe solution offers institutional investors a unique, interactive experience for exploring investment options and making informed buy/sell decisionsBridgewise adds Deborah Fuhr, award-winning ETF industry veteran, to its advisory board, deepening the company’s network and credentials in the ETF sector

SINGAPORE, July 10, 2024 /PRNewswire/ — Bridgewise, the financial research intelligence platform for global securities, announced today the launch of a new fund analysis solution that will provide deeper levels of detail into funds and their underlying assets. Powered by AI, including machine learning and advanced language models, Bridgewise will enable for the first time, deep analysis of fund holdings, past performance, and fee structure, while providing extensive coverage for almost 90% of funds on the market. This enables institutional investors more accuracy for investments, and overcomes a long-standing challenge of a lack of data to analyze the risk and performance of a fund of which the underlying holdings are unknown.

As part of deepening the company’s network and credentials, Bridgewise has also appointed Deborah Fuhr, managing partner and founder of ETFGI, to its advisory board. She brings close to 30 years’ experience in exchange-traded funds (ETFs) and investment strategies, where her insights and strategic vision will support Bridgewise’s continuous innovation and expansion.

ETFs, mutual funds, and other similar vehicles have become some of the most popular choices for investors, with ETFs seeing an impressive 24% annual growth in 2023 globally[1]. In APAC, the ETF industry also reached new milestones in February 2024 with $846.38 billion of investments, surpassing records set in 2023[2]. However, due to the sheer number of assets held in funds, less than 20% of global securities are covered by professional analysts. The lack of comprehensive analyses makes it challenging for investors to make proper, informed decisions.

Bridgewise’s latest Fund Analysis solution is powered by dual AI technologies – machine learning analysis of the global equities it covers and a custom Micro Language Model (MLM). It is able to break down funds into their constituent assets and provide a detailed analysis of each one, as well as buy/sell recommendations. Furthermore, Bridgewise analysis can be provided in any language, helping to close barriers for global funds. This is particularly important in Asia, where diverse company structures and language barriers have deterred foreign investors.

Gaby Diamant, Co-Founder and CEO at Bridgewise, says, “Until now, fund analysts have faced a daunting challenge. There is no way for a human to provide a detailed fundamental analysis on each and every asset in popular funds, especially when some funds are composed of thousands of individual stocks. The time it would take to complete such an analysis could stretch to a full year or more. Our AI technologies not only allow for an unprecedented level of depth of fund analysis, but also nearly universal coverage of funds, each one with the same level of detailed analysis along with buy/sell recommendations for the individual stocks in the fund. This emphasizes the potential for AI to bridge the gap between available data and insightful analysis, enabling a more thorough understanding of market dynamics and investment opportunities.”

Deborah Fuhr, managing partner and founder of ETFGI, says: “ETFs are increasingly gaining popularity with retail investors and financial advisors around the world providing simple, liquid, transparent, cost efficient, diversified exposure to global markets, regions, countries, themes. At the end of May our research reported the global ETFs industry has had 60 months or 5 years of consecutive monthly net inflows and the assets invested in the global ETFs industry reached a record of $12.89 trillion.  Bridgewise is developing a solution to fill a growing need for detailed information about mutual funds and ETFs to allow retail investors to make fully informed decisions.”

For investors, the new fund analysis solution will provide a unique experience featuring interactive elements, contextual ratings, and other features designed to help them find investment opportunities that are completely aligned with their goals. Features include:

Holdings Analysis – detailed insights into every underlying asset and how fund holdings are distributed across sectors, countries, exposure and other factors.Alternatives Analysis – Interactive comparisons of alternative funds make it easy for investors to choose the one that is right for them.Buy/Sell Recommendations – Bridgewise provides recommendations for every security it analyzes, and does so with the necessary regulatory compliance.Category Benchmarks – Standard industry metrics are given context through graded comparisons to category benchmarks, helping investors of any experience level.Asset Discovery – Investors are guided to additional underlying assets from within the fund, allowing them to pursue additional opportunities.

About Bridgewise:

Bridgewise is a global financial research technology company that powers the investment decisions of institutional and retail investors in more than 22 languages and across 15 countries, including over 50 institutional clients. Its proprietary generative AI-based technology platform has delivered over 10 million analyses, which provides comprehensive insights into global stocks and securities.

Founded in 2019, Bridgewise aims to bridge the knowledge gap in the investment world and democratize access to financial market information, providing easy to understand, comprehensive equity research that was previously exclusively available only to major financial institutions.

Its unbiased analysis, scoring and research can be seamlessly integrated into brokerage platforms and other financial institutions’ infrastructures, offering instant analysis of global stocks alongside bespoke investment strategies, enabling informed investment decisions to investors of all types, worldwide.

More about Bridgewise can be found here.

[1] ETFGI, December 2023

[2] ETFGI, March 2024

 

 

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Innoscience’s current products are not affected by both rulings of the Munich Regional Court

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June 19, 2026

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MUNICH, June 18, 2026 /PRNewswire/ — Innoscience today announced that the Munich Regional Court has just issued a pair of rulings, from which it could be confirmed that Innoscience’s currently marketed gallium nitride (“GaN”) power device products fall outside the scope of Infineon’s asserted German patents and may be commercialized in Germany without restriction.

These rulings are fully consistent with the final determination issued last month by the U.S. International Trade Commission (“ITC”), which found that Innoscience’s current products do not infringe Infineon’s asserted U.S. patent relating to packaging design (U.S. Patent No. 9,899,481). The Munich case concerns the German counterparts of that same patent family. In line with the ITC’s findings, the Munich Court found infringement only with respect to a limited set of legacy products—certain packaged 650–700V transistors—that had already been discontinued. Therefore, any injunction granted would not apply to Innoscience’s current product portfolio. As a result, there is no impact on Innoscience’s ongoing operations or its customers’ use of its products in Germany.

The decisions mark another significant milestone in Innoscience’s string of favorable outcomes across major jurisdictions. They follow the company’s recent success in China, where it secured an injunction and damages award against Infineon, as well as its decisive victory at the ITC in the United States last month. Together, these rulings reaffirm the legality of Innoscience’s current product portfolio and its ability to operate freely in key global markets.

While proceedings in Germany remain ongoing, including Innoscience’s invalidity challenges to the asserted German patent, the growing body of decisions across China, the United States, and Germany underscores that the global litigation campaign initiated by Infineon has not altered the competitive position of Innoscience’s core products. To the contrary, independent judicial findings across multiple jurisdictions have consistently validated the robustness of Innoscience’s technology and reinforced market confidence in the company’s product compliance and innovation capabilities.

Innoscience remains committed to advancing its technology leadership and expanding its global footprint, delivering cutting-edge GaN solutions to customers worldwide in a fair and competitive marketplace.

View original content:https://www.prnewswire.com/news-releases/innosciences-current-products-are-not-affected-by-both-rulings-of-the-munich-regional-court-302805093.html

SOURCE InnoScience

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NetZoom Announces Data Center Infrastructure Management Solution for Higher Education Institutions

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June 19, 2026

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NetZoom® is a robust DCIM for managing College and University data centers, campus infrastructure and smart classrooms

CHICAGO, June 18, 2026 /PRNewswire-PRWeb/ — NetZoom offers an intuitive Data Center Infrastructure Management (DCIM) solution designed to help colleges and universities document, visualize, and manage the infrastructure supporting campus IT services, research computing, smart classrooms, and distributed data center environments.

NetZoom helps colleges and universities establish a reliable source of truth, improve operational planning, and support critical infrastructure without adding unnecessary burden to IT and facilities teams.

Higher education institutions often manage infrastructure spread across data centers, MDF/IDF closets, labs, classrooms, and multiple campus locations while supporting digital learning, campus connectivity, research workloads, and administrative systems. These environments require accurate asset management, reliable connectivity documentation, capacity planning, and operational visibility across IT and facilities.

Common infrastructure management challenges in higher education include:

Lack of a single source of truth for asset managementDistributed assets across the entire campusLimited space, power, cooling, and budget resources as digital learning, research computing, and campus IT services continue to expandMaintaining uptime and resiliency for critical academic, research, and administrative systems

“Higher education institutions are managing increasingly complex data center environments that support students, faculty, research, and campus-wide digital services,” said Uriel Campos, General Manager at NetZoom, Inc. “To manage these environments effectively, teams need clear visibility into their assets, connectivity, capacity, power, and cooling. NetZoom helps colleges and universities establish a reliable source of truth, improve operational planning, and support critical infrastructure without adding unnecessary burden to IT and facilities teams.”

NetZoom also supports IT and facilities teams by centralizing asset, connectivity, capacity, power, cooling, and change management data in a visual DCIM platform. By bringing these functions together, institutions can improve resource planning, reduce reliance on manual tracking, identify capacity constraints, and better understand the impact of infrastructure changes.

NetZoom’s DCIM solution offers significant benefits to higher education institutions including:

Campus-wide infrastructure visibility: Helps IT and facilities teams maintain a centralized view of assets across data centers, MDF/IDF closets, labs, classrooms, and distributed campus locations.Improved planning for space, power, and cooling: Provides visibility into capacity utilization so institutions can better support growing digital learning, research computing, and administrative systems.Reduced reliance on manual tracking: Centralizes asset, connectivity, capacity, and change management data to help reduce spreadsheet dependency, duplicate records, and inconsistent documentation.Operational support for limited IT resources: Helps streamline day-to-day infrastructure management, giving campus teams better access to the information needed to plan changes, troubleshoot issues, and manage equipment lifecycles.Scalable support for evolving campus technology: Allows institutions to start with core DCIM functions and expand into areas such as monitoring, reporting, service management, integrations, and advanced capacity planning as their needs grow.

Availability

NetZoom DCIM for Higher Education is immediately available in both SaaS and On-Premises deployments. For demonstrations, POCs, pricing and deployment options, contact NetZoom at 630-281-6464, email Sales@NetZoom.com or visit NetZoom.com

About NetZoom

Founded in 1995, NetZoom, Inc. is an Illinois corporation with headquarters in the Chicago area. NetZoom offers a flexible and powerful application that integrates with on-premise, virtual and cloud resources and many third-party tools like ServiceNow® to create a complete DCIM solution for data center professionals worldwide to effectively model, manage, monitor and maximize IT and Facility infrastructure.

For more information, visit NetZoom.com

NetZoom is a registered trademark of NetZoom, Inc. All other marks and names are trademarks of their respective companies.

Media Contact

Marketing Department, NetZoom, Inc., 1 630-281-6464, Marketing@NetZoom.com, https://NetZoom.com

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SOURCE NetZoom, Inc.

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NOVVA Group acquires 120 MWp Philippines solar project, anchoring its AI-era power platform in Southeast Asia

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June 19, 2026

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HONG KONG, June 19, 2026 /PRNewswire/ — NOVVA Group (“Novva”), a global AI-enabling energy infrastructure platform, announced today that it has signed a definitive agreement to acquire 100% of San Jose Solar Power Plant (“SJSP”), a utility-scale solar PV project in Bukidnon, Mindanao, from Mabuhay Power Holdings Corporation. The acquisition marks Novva’s first investment in the Philippines and a critical milestone in its strategy to build a scalable, bankable power platform across Southeast Asia.

SJSP is a 120 MWp greenfield solar project located in Barangay San Jose, in the Municipality of Quezon, Bukidnon. Once operational, it is expected to generate over 200 GWh of clean electricity per year. Construction is scheduled to begin in Q1 2027, with commercial operation targeted for 2028.

The transaction comes amid an unprecedented surge in Asian power demand, driven by the rapid expansion of artificial intelligence, cloud computing, and digital infrastructure. With energy availability emerging as the primary constraint on sustained economic growth, resilient power infrastructure has become vital. The project also advances the Philippines’ goal of a 35% renewable energy share by 2030, channelling clean capacity into one of Southeast Asia’s fastest-growing digital economies.

Steven Liu, Founder and CEO of Novva, said: “Power availability has become one of the defining constraints on future growth. With SJSP, we are securing the strategic infrastructure needed to support the next wave of industrial and digital development. By combining disciplined execution with long-term partnerships, Novva is building a reliable clean energy foundation to power the future of Southeast Asia.”

SJSP will integrate directly into Novva’s regional platform, which combines renewable generation, flexible power solutions, energy storage, grid connectivity and infrastructure financing capabilities. Novva remains committed to scaling clean energy capacity to sustain the next generation of hyperscale data centres and digital economies.

About Novva
Novva (NOVVA Group Pte. Ltd.) is a global AI-enabling energy infrastructure platform that originates, finances, builds, and operates bankable clean energy assets across Southeast Asia and Latin America. As digital transformation drives an unprecedented increase in global electricity demand, Novva scales its clean power capabilities to build the reliable energy foundation for the AI era and beyond.
www.novvaglobal.com

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SOURCE NOVVA Group

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