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Cognizant Announces Multi-Agent Orchestration for its Neuro® AI Platform

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Enhanced platform integrates powerful multi-agent AI orchestration that can accelerate the enterprise AI productivity-to-growth journey

Dozens of businesses have already leveraged the platform to rapidly identify, build and pilot AI decisioning use cases that can deliver business value at scale

TEANECK, N.J., Oct. 16, 2024 /PRNewswire/ — Cognizant (NASDAQ:CTSH) today announced significant enhancements to its Cognizant Neuro® AI platform, aimed at enabling enterprises to rapidly discover, prototype, and develop AI use cases that can improve decision-making, leading to better company performance and new revenue opportunities.

According to data from a Cognizant and Oxford Economics study, most enterprises (76%) are looking to leverage AI to create new revenue streams but struggle with implementing and scaling cross-enterprise use cases. Many (70%) also don’t think they’re moving fast enough. The enhancements to Cognizant Neuro® AI address these problems — in just minutes, business leaders can identify what business problems to tackle, scope them, and generate synthetic data or import their own anonymized data to start creating AI models. The platform can then predict and provide guidance on meeting business outcomes while justifying those decisions, thereby enabling businesses to quickly assess the impact of a variety of use cases. 

Now available to Cognizant clients, the enhanced Cognizant Neuro® AI platform has been tested, piloted and used by dozens of clients already and is backed by multiple patents. It can be leveraged for almost any industry or business challenge involving data analysis, from inventory management and dynamic pricing to fraud reduction and efficient staff allocation. The enhancements to the Neuro® AI platform began as research projects at the Cognizant AI Research Lab, which launched earlier this year. The lab focuses on researching and developing decision-based AI systems, and these enhancements are the first developments from the lab that have been integrated into a commercial offering. 

Gilead Sciences, a leading biopharmaceutical company and Cognizant client, commented on the enhanced Neuro® AI platform: 

“Many enterprises struggle to apply AI beyond predicting outcomes, and that’s because solving real business problems usually involves thousands of different scenarios often with conflicting priorities,” said Murali Vridhachalam, Head of Cloud, Data, and Analytics at Gilead Sciences. “With these latest updates, Cognizant Neuro® AI is the only platform I’ve seen that empowers businesses to quickly deploy end-to-end Gen AI use cases across various applications, and to uncover tangible, revenue-generating opportunities. Its innovative, multi-agent approach to managing decision workflows sets it apart in the industry.”  

Another Cognizant client, Bayer Crop Science, also commented on their experience using the enhanced platform:

 “Agriculture is one of the most challenging professions, requiring intricate decision-making amid environmental uncertainties and the need to balance social, economic, and environmental objectives,” said Patricio Salvatore La Rosa, Head of Decision Science at Bayer Crop Science. “We have directly tested several foundational components of Cognizant Neuro® AI, especially LEAF, which has empowered us to navigate complex scenarios effectively. By harnessing the collaborative capabilities of specialized Gen AI agents, we look forward to addressing intricate decision-making challenges in a reliable, transparent, and trustworthy manner.”

Cognizant has integrated powerful new features as part of the enhancements to Cognizant Neuro® AI, including a multi-agent powered discovery tool to identify use cases, called Opportunity Finder, as well as a suite of large language model (LLM) assistants that form a powerful AI decisioning engine. Clients first interact with the platform through Opportunity Finder, an LLM-assistant that helps identify potential AI decisioning use cases for their businesses. The Model Orchestrator, featuring a drag-and-drop interface, then enables users to clean up the data and apply a variety of machine learning models to it. Data preparation is streamlined through LLMs and then machine learning models are applied to predict outcomes while evolutionary AI models prescribe decisions. Once trained, the best models can be further interrogated through a web interface or queried via an LLM assistant. 

The enhanced Cognizant Neuro® AI platform is available with pre-built configurations that provide easy starting points for various use cases. These include healthcare (like drug discovery and treatment plans), finance (such as cybersecurity and fraud prevention), agriculture (like crop yield optimization and pesticide development), and general templates for supply chain, call centers, customer retention, and price optimization. 

“Businesses are struggling with how and where to apply AI to solve business problems, and that’s why we’ve seen most AI use cases limited to prediction-based outcomes or single LLM chat-based solutions,” said Babak Hodjat, Chief Technology Officer of AI at Cognizant. “Multi-agent AI systems hold the key to solving these problems, which is why Cognizant Neuro® AI is now built with one at its core. This platform puts business leaders – not just data scientists — in the driver’s seat, so they can tap into their own domain knowledge to quickly test and establish decision-making use cases for AI in minutes and then provide the resulting model code to iterate at scale.” 

According to Gartner®, “Multiple agents can work toward a common goal that goes beyond the ability of individual agents. The combined application of multiple agents can tackle complex tasks that individual agents cannot, while creating more adaptable, scalable and robust solutions.”1

Neil Ward-Dutton, VP Automation, AI and Analytics at IDC also commented: “As enterprises start to try to approach AI strategically, and move beyond experimentation, they are crying out to understand how to identify and prioritize use cases. Providers that can use technology to help accelerate the identification of use cases, and then use that technology to test and scale implementations, will be in a strong position.”  

To learn more about the enhanced Cognizant Neuro® AI platform and sign up for a demo, visit cognizant.com/neuroai.

About Cognizant 

Cognizant (Nasdaq: CTSH) engineers modern businesses. We help our clients modernize technology, reimagine processes and transform experiences so they can stay ahead in our fast-changing world. Together, we’re improving everyday life. See how at www.cognizant.com or @cognizant. 

About the Cognizant AI Research Lab 

The mission of the Cognizant AI Research Lab is to maximize human potential with Decision AI, a form of AI that combines generative AI, multi-agent architecture, deep learning, and evolutionary AI to create sophisticated decision-making systems. Decision AI powers Cognizant’s Neuro® AI platform, which is utilized by Fortune 500 companies and non-profits to discover new ways to exceed their goals. The platform enables organizations to rapidly build AI that optimizes decision-making, leading to revenue growth and societal progress.  

Led by AI pioneers Babak Hodjat and Risto Miikkulainen, the lab collaborates with institutions, academia, and technology partners to develop groundbreaking AI solutions responsibly. With over 75 patents (issued or pending), the lab excels at combining scientific innovation with commercial application. It supports Cognizant’s goal of improving everyday life, focusing on business and AI-for-good applications. 

Forward-Looking Statements

This press release includes statements that may constitute forward-looking statements made pursuant to the safe harbor provisions of the Private Securities Litigation Reform Act of 1995, the accuracy of which are necessarily subject to risks, uncertainties and assumptions as to future events that may not prove to be accurate. These statements include, but are not limited to, express or implied forward-looking statements relating to the adoption of generative artificial intelligence and the effects of generative artificial intelligence on the workforce, businesses and economy. These statements are neither promises nor guarantees but are the findings of the study discussed above and remain subject to a variety of risks and uncertainties, many of which are beyond our control, which could cause actual results to differ materially from those contemplated in these forward-looking statements. Existing and prospective investors are cautioned not to place undue reliance on these forward-looking statements, which speak only as of the date hereof. Factors that could cause outcomes to differ materially from those expressed or implied include general economic conditions, the impact of technological development and competition, the competitive and rapidly changing nature of the markets we compete in, the competitive marketplace for talent and its impact on employee recruitment and retention, and the other factors discussed in our most recent Annual Report on Form 10-K and other filings with the Securities and Exchange Commission. Cognizant undertakes no obligation to update or revise any forward-looking statements, whether as a result of new information, future events, or otherwise, except as may be required under applicable securities law.

1 Gartner: Innovation Insight: AI Agents, April 3, 2024. GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.

For more information, contact:

U.S.

Name Gabrielle Gugliocciello

Email Gabrielle.Gugliocciello@cognizant.com 

Europe / APAC

Name Christina Schneider

Email christina.schneider@cognizant.com 

India

Name Rashmi Vasisht

Email rashmi.vasisht@cognizant.com 

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SOURCE Cognizant

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OceanaGold Reports Voting Results from its 2026 Annual Meeting of Shareholders

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VANCOUVER, BC, June 9, 2026 /PRNewswire/ – OceanaGold Corporation (TSX: OGC) (NYSE: OGC) (“OceanaGold” or the “Company”) is pleased to report the voting results from the Annual General and Special Meeting of Shareholders of the Company (the “AGM”) held today.

A total of 184,072,822 common shares of the Company were represented in person or by proxy at the AGM, representing 82.06% of common shares outstanding as at the record date. Shareholders voted in favour of each of the items of business at the AGM.

Election of Directors

Each of the director nominees listed in OceanaGold’s Management Information Circular dated April 23, 2026 was elected as a director of the Company to hold office for the ensuing year or until their successors are elected or appointed. Detailed results of the vote for each director are set out in the table below:

Directors

Votes For

%

Votes Withheld

%

Paul Benson

132,452,772

77.70

38,003,874

22.30

Ian M. Reid

169,552,116

99.47

904,530

0.53

Craig J. Nelsen

169,280,303

99.31

1,176,343

0.69

Sandra M. Dodds

167,057,565

98.01

3,399,081

1.99

Alan N. Pangbourne

170,267,931

99.89

188,715

0.11

Linda M. Broughton

170,153,528

99.82

303,118

0.18

Stefanie E. Loader

169,432,122

99.40

1,024,524

0.60

Gerard M. Bond

170,272,112

99.89

184,534

0.11

Appointment of Auditor

PricewaterhouseCoopers LLP was appointed as the auditor of the Company to hold office until the close of the next annual meeting of shareholders or until its successor is appointed, at a remuneration to be fixed by the directors of the Company.

Votes For

%

Votes Withheld

%

180,933,130

98.29

3,139,692

1.71

Advisory Vote on the Approach to Executive Compensation

A non-binding resolution on the Company’s approach to executive compensation was approved.

Votes For

%

Votes Against

%

165,775,649

97.25

4,680,997

2.75

Virtual-Only Annual General Meetings

A resolution to hold the Company’s 2027 annual general meeting of shareholders in a virtual-only format was approved.

Votes For

%

Votes Against

%

106,379,295

62.41

64,077,351

37.59

About OceanaGold

OceanaGold is a global intermediate gold and copper producer committed to safely and responsibly maximizing the generation of Free Cash Flow from our operations and delivering strong returns for our shareholders. We have a portfolio of four operating mines: the wholly-owned Haile Gold Mine in the United States of America; the wholly-owned Macraes and Waihi operations in New Zealand; and the 80%-owned Didipio Mine in the Philippines.

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SOURCE OceanaGold Corporation

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AI Engines Trust Hermès, Rolex, Chanel and Ferrari Most — 5W and Haute Living Release The AI Luxury 25

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First ranking of the twenty-five luxury houses defining the AI era, scored by citation share across ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews.

MIAMI, June 9, 2026 /PRNewswire/ — 5W, the AI Communications Firm, and Haute Living, today released The AI Luxury 25, the first ranking of the world’s leading luxury houses by how clearly the AI engines describe them. Twenty-five houses, five engines, five equal dimensions, one composite score. Hermès leads at 98.6. Rolex, Patek Philippe, Chanel, and Ferrari complete the top tier.

More than a third of luxury buyers now begin product research with AI, not Google. The first impression a buyer forms is the answer an engine returns when asked about a house — and certain houses surface, cleanly and consistently, while others blur. The AI Luxury 25 measures that gap and ranks the houses most deeply embedded in AI-generated answers.

The study scores each house on archival depth, citation density, entity clarity, editorial consistency, and retrieval stability. Hermès posts the cleanest entity profile in consumer commerce. Rolex records the only perfect entity-clarity score in the index. Aman, founded in 1988, is the modern house rising fastest — proof that retrieval authority can be built on purpose, not just inherited.

“In the AI era, the answer is the first impression,” said Ronn Torossian, Founder and Chairman of 5W AI Communications. “The houses at the top of this index earned it the only way it can be earned — a century of saying the same thing, consistently, until the machine learned it cold. That consistency is the modern form of brand equity. Everyone else now has to build it on purpose.”

“For two centuries the great houses competed for the cover, the window, the front row,” said Kamal Hotchandani, Founder and CEO of Haute Living. “The new front row is the answer a machine returns when a buyer asks. Hermès and Rolex didn’t set out to win it — they earned it with a century of discipline. This index measures who owns that answer.”

The full study, ranked tables, and methodology are available at https://www.5wpr.com/ai-visibility-index/ai-luxury-25-2026/

About Haute Living

Haute Living is the luxury lifestyle media brand covering the people, places, and brands defining the global luxury economy. Learn more at hauteliving.com.

About 5W AI Communications

5W is the AI Communications Firm, building brand authority across the platforms where decisions now happen — ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews — alongside earned media, digital, and influencer channels. 5W combines public relations, digital marketing, Generative Engine Optimization (GEO), and proprietary AI visibility research, helping clients measure and grow their presence in AI-driven buyer research.

Founded more than 20 years ago, 5W has been recognized as a top U.S. PR agency by O’Dwyer’s, named Agency of the Year in the American Business Awards®, and honored as a Top Place to Work in Communications in 2026 by Ragan. 5W serves clients across B2C sectors including Beauty & Fashion, Consumer Brands, Entertainment, Food & Beverage, Health & Wellness, Travel & Hospitality, Technology, and Nonprofit; B2B specialties including Corporate Communications and Reputation Management; as well as Public Affairs, Crisis Communications, and Digital Marketing, including Social Media, Influencer, Paid Media, GEO, and SEO. 5W was also named to the Digiday WorkLife Employer of the Year list.

Media Contact
press@5wpr.com 

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SOURCE 5W Public Relations

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Hut 8 Closes $4.25 Billion of Investment-Grade Senior Secured Notes for Beacon Point Data Center Project

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Hut 8’s second investment-grade data center construction bond — fully amortizing, non-recourse, and non-dilutive — rated Baa2 and priced 20 basis points inside the River Bend notes issuance spread

Substantially oversubscribed, broadening Hut 8’s institutional credit investor base and bringing cumulative project-level, investment-grade data center construction financing to $7.5 billion

MIAMI, June 9, 2026 /PRNewswire/ — Hut 8 Corp. (Nasdaq: HUT) (TSX: HUT) (“Hut 8” or the “Company”), an energy infrastructure platform integrating power, digital infrastructure, and compute at scale to fuel next-generation, energy-intensive technologies, today announced the closing of a $4.25 billion offering (the “Offering”) of 6.129% senior secured notes due 2042 (the “Notes”) issued by its wholly-owned subsidiary, Beacon Point DC LLC (the “Issuer”). The Notes are rated Baa2 by Moody’s Ratings, one notch above the BBB− assigned by S&P Global Ratings and Fitch Ratings to Hut 8’s River Bend financing in April 2026.

The Issuer intends to use the proceeds from the Offering to (i) finance (1) the development and construction of a turnkey data center, comprising six data halls with a combined total of 352 megawatts of critical IT capacity, to be built on an approximately 521-acre property in Nueces County, Texas and (2) the construction of the substation located on the property, which data center facility will be leased to a tenant that is a high-investment-grade company (i.e., rated AA− or higher) as of the date hereof pursuant to the data center lease agreement, (ii) fund debt service reserves, and (iii) pay fees and expenses in connection with the Offering.

Offering Highlights

Demonstrates the repeatability of an investment-grade financing model that preserves balance-sheet strength: The Offering marks the second execution of a financing model that is non-recourse to Hut 8, fully funded at the project level, and non-dilutive to existing shareholders, with no expected equity issuance by Hut 8 to fund the project. The fully amortizing structure eliminates refinancing risk at the project level, while its non-recourse profile allows Hut 8 to maintain zero recourse debt at the parent level, leaving its balance sheet unconstrained.Reflects disciplined, first-principles execution marked by improved rating, pricing, and scale: The Offering improves upon the first execution of the model at River Bend across rating and spread. At T+165 basis points, the Notes priced 20 basis points inside the River Bend notes issuance spread. These terms establish the Offering as the largest, tightest-priced, and highest-rated investment-grade bond issued to date in a single-sponsor data center construction financing. Across successive executions, this progression supports Hut 8’s pursuit of a corporate investment-grade profile.Confirms broadening institutional endorsement of Hut 8’s development financing model: Investor demand validates Hut 8’s model of financing investment-grade, construction-stage development. The Offering was substantially oversubscribed and attracted both repeat investors and new investors who did not participate in the River Bend offering, broadening Hut 8’s institutional credit investor base. Together, River Bend and Beacon Point represent $7.5 billion of investment-grade capital raised for construction-stage data center development, a credit standard rarely achieved prior to commercial operations.

Asher Genoot, CEO of Hut 8, said: “The investment-grade market has historically not been available to finance project-level data center construction. Together with our River Bend offering, this Offering establishes the ability of our data center projects to access investment-grade financing markets and demonstrates a repeatable model for funding construction-stage development. We believe this structure, which eliminates refinancing risk and protects shareholder value, can support a durable competitive advantage as we continue to scale.”

Sean Glennan, CFO of Hut 8, said: “The hallmark of this financing model is repeatability. What enables us to deliver superior outcomes over time, however, is rigor of execution. Each term of the Offering was structured from first principles rather than inherited from the prior offering. Beacon Point improves on River Bend across key financing metrics, including rating and spread. We intend to bring that same discipline to future transactions.”

J.P. Morgan acted as lead bookrunner for the Offering. Goldman Sachs & Co. LLC acted as a bookrunner for the Offering.

About Hut 8

Hut 8 is an energy infrastructure platform integrating power, digital infrastructure, and compute at scale to fuel next-generation, energy-intensive technologies such as AI, high-performance computing, and ASIC compute. The Company develops, commercializes, and operates industrial-scale energy and data center infrastructure through a power-first, innovation-driven approach. For more information, visit hut8.com.

Cautionary Note Regarding Forward-Looking Information

This press release includes “forward-looking information” and “forward-looking statements” within the meaning of Canadian securities laws and United States securities laws, respectively (collectively, “forward-looking information”). All information, other than statements of historical facts, included in this press release that address activities, events, or developments that Hut 8 expects or anticipates will or may occur in the future, including statements relating to the anticipated use of proceeds from the Offering, the development and construction of the Beacon Point project, the expected benefits and repeatability of the Company’s financing model, the Company’s pursuit of a corporate investment-grade profile, the Company’s development pipeline, and the Company’s future business strategy, competitive strengths, expansion, and growth of the business and operations more generally, and other such matters is forward-looking information. Forward-looking information is often identified by the words “may,” “would,” “could,” “should,” “will,” “intend,” “plan,” “anticipate,” “allow,” “believe,” “estimate,” “expect,” “predict,” “can, “might,” “potential,” “is designed to,” “likely,” or similar expressions.

Statements containing forward-looking information are not historical facts, but instead represent management’s expectations, estimates, and projections regarding future events based on certain material factors and assumptions at the time the statement was made. While considered reasonable by Hut 8 as of the date of this press release, such statements are subject to known and unknown risks, uncertainties, assumptions and other factors that may cause the actual results, level of activity, performance, or achievements to be materially different from those expressed or implied by such forward-looking information, including, but not limited to, risks relating to the construction of new data centers, including cost overruns, delays, supply chain issues, permitting or regulatory hurdles, unexpected technical challenges, and dependency on contractors; risks relating to the financing of new data centers, including the potential dilutive impact of equity issuances (if any), access to capital markets, timing and cost of financing, and market conditions such as increases in interest rates, declining equity valuations, volatility in credit markets, or tightening lending standards; risks impacting our ability to expand the power capacity at the River Bend campus, such as limitations of transmission and/or generation resources; failure of critical systems; geopolitical, social, economic, and other events and circumstances; competition from current and future competitors; risks related to power requirements; cybersecurity threats and breaches; hazards and operational risks; changes in leasing arrangements; Internet-related disruptions; dependence on key personnel; having a limited operating history; attracting and retaining customers; entering into new offerings or lines of business; price fluctuations and rapidly changing technologies; predicting facility requirements; strategic alliances or joint ventures; operating and expanding internationally; hedging transactions; potential liquidity constraints; legal, regulatory, governmental, and technological uncertainties; physical risks related to climate change; involvement in legal proceedings; trading volatility; and other risks described from time to time in Company’s filings with the U.S. Securities and Exchange Commission. In particular, see the Company’s recent and upcoming annual and quarterly reports and other continuous disclosure documents, which are available under the Company’s EDGAR profile at sec.gov and SEDAR+ profile at sedarplus.ca. Information in this press release is as of the dates and time periods indicated herein, and neither the Company nor the Issuer undertake to update any of the information contained in these materials, except as required by law.

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SOURCE Hut 8 Corp.

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