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Fractal Appoints Leandro DalleMule as Chief Practice Officer, Financial Services & Insurance

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“Leandro will lead the practice globally to strengthen client relationships and accelerate growth”

NEW YORK, June 26, 2026 /PRNewswire/ — Fractal Analytics Ltd. (BSE: 544700) (NSE: FRACTAL), a globally recognized enterprise AI company serving Fortune 500® organizations, has announced the appointment of Leandro DalleMule as Chief Practice Officer (CPO), Financial Services & Insurance (FSI). He will be responsible for the FSI practice globally, driving strategy, client success, industry innovation and AI-led transformation for financial institutions and insurers. Leandro will also play a key role in expanding Fractal’s capabilities, strengthening strategic partnerships, and helping clients unlock tangible business value through AI.

Fractal’s FSI practice drives AI-powered transformation across areas such as customer experience, risk and fraud, credit and underwriting, claims, pricing, and compliance, delivering significant business impact at scale. Fractal hosts several purpose-built FSI solutions on their agentic AI platform, Cogentiq, including Cogentiq Underwriting, which drives faster approvals, reduces risk exposures and boosts underwriter productivity through AI-driven, explainable risk assessment, and Cogentiq Sales Assist for Financial Services, which enables relationship managers to grow AUM and close opportunities faster with intelligent insights.

Leandro is a seasoned AI, data, and analytics leader and brings with him more than 30 years of experience helping organizations drive business outcomes through data, analytics, and AI. Before joining Fractal, he was a Managing Director in Deloitte’s FSI AI & Data practice. Prior to his tenure at Deloitte, he spent more than 20 years in senior executive roles at AIG, Citibank, BlackRock, and Planck, where he built and led a leading AI platform for insurance through its acquisition by Applied Systems in 2024.

“We are delighted to welcome Leandro. His exceptional track record of building and scaling data and AI capabilities across global institutions, combined with his deep domain expertise, will be instrumental as we continue to grow our FSI practice. His leadership will further strengthen Fractal’s position as a trusted AI partner delivering measurable outcomes,” said Pranay Agrawal, Co-founder and Chief Executive Officer, Fractal USA. 

Speaking about his goals as CPO, Leandro said, “I’m excited to join Fractal at a time when AI is reshaping financial services—from banking and payments to insurance and asset management. I believe it has a real differentiator: being truly AI native, with deep technical expertise built around AI from the start. And as adoption accelerates, our focus must stay on delivering measurable, trusted business value. My priority is to deepen client partnerships, drive growth across key accounts, and build an operating model that delivers clear, outcome-driven impact.”

Leandro is an MBA graduate from the Kellogg School of Management at Northwestern University. He also holds a professional certificate in Applied Mathematics from Columbia University, and a degree in Mechanical Engineering from the University of São Paulo, Brazil. 

About Fractal  

Fractal Analytics Ltd (BSE: 544700) (NSE: FRACTAL) is a globally recognized pure-play enterprise AI company trusted by Fortune 500®-sized enterprises to power decision-making through AI services, solutions, and products, anchored by Cogentiq, its flagship agentic AI platform. With over 6,000 professionals across North America, EMEA, and Asia-Pacific, Fractal partners with business leaders to drive competitive differentiation for their organizations by embedding AI into critical decisions across business functions and industry verticals.

Fractal invests more than 6% of its revenue in AI R&D, supporting foundational AI research, product development, and IP creation that address both immediate client needs and long-term technological advancement. Fractal’s track record includes developing proprietary models and products such as Vaidya.ai and PiEvolve, as well as incubating and spinning out Qure.ai, a global healthcare AI leader focused on the rapid identification and management of tuberculosis, lung cancer, and stroke (or critical health conditions). Fractal’s suite of businesses consists of Asper.ai (a Revenue Growth Management product for CPG companies) and Analytics Vidhya (an Ed-tech platform).

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NVTC Launches New Strategic Plan and Elects Board Leadership at 35th Annual Meeting

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Council unveils new mission, vision, and strategic priorities to position Northern Virginia to lead the next era of innovation

MCLEAN, Va., June 26, 2026 /PRNewswire/ — The Northern Virginia Technology Council (NVTC), the trade association representing the region’s technology community, unveiled a new strategic plan and elected new Board leadership during its 35th Annual Membership Meeting on Thursday, June 25th.

The new strategic plan comes at a defining moment for the technology industry as artificial intelligence, including agentic AI, cybersecurity, cloud and edge networks, mobility, robotics, space, and other emerging technologies reshape the global economy. Northern Virginia stands at the center of this transformation and is well positioned to lead the next era of innovation.

“Innovation doesn’t stand still—and neither does NVTC,” said Jennifer Taylor, president and CEO of NVTC. “Our ambitious strategic plan positions NVTC for its next chapter of impact and reinforces our commitment to helping Northern Virginia lead in this next era of innovation. We’ve done it before, and we will again.”

For 35 years, NVTC has brought together leaders from business, government, academia, and the nonprofit sector through major waves of technological change—from the rise of the internet to today’s advances in artificial intelligence. The refreshed strategic plan builds upon that legacy while positioning the organization for its next chapter of impact.

NVTC’s mission is to convene and champion the region’s technology community to advance innovation, build a future-ready workforce, and drive lasting economic and societal impact. Guided by its vision to fuel innovation that shapes the future, NVTC will focus on four strategic priorities over the next three years: Network—convening the region’s technology ecosystem; Voice—championing the technology community; Talent—advancing a future-ready workforce; and Cultivate—deepening engagement and delivering exceptional member value.

The successful implementation of this strategy will be guided by NVTC’s Board of Directors and leadership team, who welcomed new directors and officers during the Annual Membership Meeting.

During the meeting, NVTC members elected 20 industry leaders to the Class of 2029 Board of Directors, filled two vacancies in the Class of 2028, and elected nine FY2027 Chair Appointees. The Board also elected its FY2027 Officers for a two-year term, including Gil Dussek, CEO of Gunnison, as Chair. These incoming Board members and officers will help guide implementation of the strategic plan and advance NVTC’s strategic priorities over the next three years.

“As we celebrate this milestone and look ahead to our next chapter, I am honored to serve as Chair at such a pivotal moment for our region and our organization,” said Dussek. “Artificial intelligence, cybersecurity, and the accelerating pace of technological change are transforming every sector of our economy, creating extraordinary opportunities for Northern Virginia to lead. I look forward to working alongside our Board, members, and partners to advance the region’s innovation ecosystem and ensure Northern Virginia remains the nation’s premier technology hub.”

FY2027 Officers

The Board elected the following FY2027 officers for a two-year term beginning July 1, 2026:

Chair: Gil Dussek, CEO, Gunnison

President & CEO: Jennifer Taylor, Northern Virginia Technology Council

Chair Elect: Mile Corrigan, CEO, Noblis

Vice Chair: Jennifer Felix, CEO, ASRC Federal

Vice President: Tim Borchert, CEO, Tria Federal

Vice President: Rick Tossavainen, CEO, Dark Wolf

Treasurer: Melinda Covert, Partner, Deloitte

Secretary: Chad Fredrick, President, PEAC US Capital

General Counsel: Ellen Grady, Partner, Pillsbury

Culture Officer: Gregory Washington, President, George Mason University

Class of 2029

The NVTC membership elected the following individuals to the Board of Directors for a three-year term beginning July 1, 2026:

Mark Andersen, BDO

Dara Castle, RSM

Greg Fairchild, UVA Northern Virginia

Margie Graves, IBM

Kevin Gundersen, Digital Realty

Kavita Kalatur, NetImpact Strategies

Bo Machayo, Micron Technology

Manish Malhotra, Unissant

T.J. Maloney, AWS

Marc Marlin, KippsDeSanto

Cameron Mayer, Booz Allen

Richard Pineda, CALIBRE Systems

Krystal Putman-Garcia, Casepoint

Brian Roach, Adobe

Pamela Rothka, Empower AI

Timothy Sands, Virginia Tech

James Schmidt, James Madison University

Anil Sharma, 22nd Century Technologies

Eric Trexler, Palo Alto Networks

Joe Woomer, Dominion Energy

Class of 2028

The membership also elected the following individuals to fill vacancies in the Class of 2028:

Gerald Kierce, Trustible

Scott Ryan, xAI

FY2027 Chair Appointees

The following FY2027 Chair Appointees were elected to a one-year term:

Dayne Baird, Carlyle

Phil Carrai, Kratos

Cliff Chiet, iHeartMedia

Susan Hawkins, Amentum

Brian Krause, Clark Construction

Lorraine Lavet, Korn Ferry John Mengucci, CACI International Inc

Shawn Purvis, Sabel Systems

Matt Strottman, IQT

The elections were held during NVTC’s 2026 Annual Membership Meeting, where members received an overview of NVTC’s refreshed strategic plan and heard from former Acting Director of the Defense Intelligence Agency David Shedd, author of The Great Heist: China’s Epic Campaign to Steal America’s Secrets, on the intersection of technology, innovation, and global competitiveness.

The NVTC Board of Directors brings together leaders from the region’s most influential technology companies, government contractors, universities, and innovation organizations. Their collective expertise helps shape NVTC’s advocacy efforts, strategic initiatives, and programs that support the continued growth of the region’s technology economy.

About the Northern Virginia Technology Council

The Northern Virginia Technology Council (NVTC) convenes and champions the region’s tech community to advance innovation, build a future-ready workforce, and drive economic and societal impact. Representing one of the world’s most dynamic technology ecosystems, NVTC connects leaders across business, government, academia, and the nonprofit sector to foster collaboration, strengthen competitiveness, and accelerate innovation. Through advocacy, networking, workforce initiatives, and strategic partnerships, NVTC helps fuel innovation that shapes the future. Learn more at nvtc.org.

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The Cotocon Group Urges NYC Building Owners to Resolve Failure-to-File Violations as 2026 Notices Are Issued

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NEW YORK, June 26, 2026 /PRNewswire/ — The Cotocon Group, a New York City building compliance and sustainability consulting firm, is urging property owners, boards, and management companies to review and resolve outstanding failure-to-file violations following the issuance of 2026 violations tied to Article 321, Article 320, and annual benchmarking requirements.

The advisory comes as New York City building owners are already seeing failure-to-file violations issued this year across multiple compliance categories, including Article 321 prescriptive compliance, Article 320 greenhouse gas emissions reporting, and Local Law 84 benchmarking. While many owners may initially view these violations as administrative issues, unresolved filings can lead to accumulating penalties, delayed compliance acceptance, and greater uncertainty around a building’s long-term regulatory position.

“Failure-to-file violations are often treated like paperwork problems, but they can quickly become asset problems,” said Jimmy Carchietta, Founder and CEO of The Cotocon Group. “When a building has missed filings, open penalties, or an unclear compliance status, owners need to understand what happened, what is due, and what needs to be corrected before the issue grows.”

New York City’s building performance laws have become increasingly interconnected. Annual benchmarking data can influence a building’s broader compliance picture. Article 320 requires covered buildings to report greenhouse gas emissions. Article 321 applies to certain buildings that may qualify for prescriptive compliance requirements. When one filing is missed, it can create confusion across emissions reporting, violation resolution, future deadlines, and ownership decision-making.

The Cotocon Group is advising building stakeholders to conduct a compliance review that identifies open violations, missed filing years, penalty exposure, upcoming deadlines, and the correct pathway for resolving each issue. This is especially important for owners and property managers overseeing multiple buildings, where one overlooked property can create avoidable fines and administrative delays.

Through its failure-to-file violation review process, The Cotocon Group helps owners and managers determine whether a building has outstanding obligations under Local Law 84 benchmarking, Local Law 87 energy audits and retro-commissioning, Local Law 88 lighting and sub-metering, Local Law 95 energy grades, Local Law 97 emissions reporting, or applicable Article 320 and Article 321 requirements.

The firm’s goal is to help owners move from uncertainty to a clear action plan. This includes identifying what filings are missing, what penalties may apply, what documentation is required, and what steps are needed to restore the building’s compliance position.

“Most owners do not want to be non-compliant,” added Carchietta. “In many cases, they simply were not aware that a filing was missed, that a violation was issued, or that a prior consultant never completed the process. Our role is to give them clarity and help get the problem out of their life.”

The Cotocon Group encourages building owners, property managers, co-op and condo boards, and facility teams to review their compliance records now, especially if they have received a 2026 failure-to-file violation related to Article 321, Article 320, or benchmarking.

For more information, visit www.thecotocongroup.com or contact info@thecotocongroup.com

About The Cotocon Group
The Cotocon Group is a New York City-based building compliance and sustainability consulting firm specializing in local law compliance, energy benchmarking, energy audits, retro-commissioning, emissions reporting, violation resolution, and strategic building performance planning. The firm works with building owners, property managers, boards, and facility teams to support compliance with New York City’s energy and emissions requirements.

Media Contact
The Cotocon Group
media@thecotocongroup.com
(212) 889-6566
https://www.thecotocongroup.com

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The AI Boom’s Biggest Bottleneck Is Creating Billion-Dollar Opportunities

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FN Media Group Presents Oilprice.com Market Commentary

NEW YORK, June 26, 2026 /CNW/ — Artificial intelligence is creating a new class of infrastructure giants virtually overnight, and one innovative Bitcoin miner that made an early leap into the global power business feeding the voracious appetite of AI data centers is now being rewarded for years spent securing massive amounts of low-cost electrical power around the world.  Companies mentioned in today’s commentary includes:  Bitzero Holdings Inc.  (AIBZ), SpaceX (Nasdaq: SPCX), Oracle Corporation (NYSE: ORCL), Arm Holdings plc (NASDAQ: ARM), Micron Technology, Inc. (NASDAQ: MU), Advanced Micro Devices, Inc. (NASDAQ: AMD).

Years before artificial intelligence triggered a global race for power capacity, Bitzero Holdings (AIBZ) was using cash flow from Bitcoin mining operations to secure large amounts of low-cost electrical power across Norway, Finland, and the United States.

The company continues mining Bitcoin because the business generates strong cash flow at some of the lowest power costs in the industry. But Bitzero’s sights are now set on a much larger prize: the AI data-center buildout that McKinsey estimates could require nearly $7 trillion in global infrastructure spending by 2030, including roughly $5.2 trillion tied directly to AI workloads alone.

That prize started becoming reality on May 5, when Bitzero signed a binding letter of intent with OneQode Networks covering the full 110 MW capacity of its Namsskogan, Norway data center site under a 15-year lease tied to GPU-based AI workloads. The agreement carries an implied value of roughly $2.6 billion over the lease term, and marks Bitzero’s formal entry into the large-scale AI data-center infrastructure market.

That’s exactly why Shark Tank’s Kevin O’Leary was one of Bitzero’s earliest, and biggest backers.

O’Leary has taken on a strategic investor role in the company since its formation because he sees Bitzero as a fundamentally different kind of crypto enterprise–one rooted in energy infrastructure, not just speculation, and the data-center boom.

“If I want exposure to crypto, I only need three positions now … I own Bitzero because they mine Bitcoin and they’re actually a power company.”

The Nordic Advantage in the AI Energy Race

If cheap power built Bitcoin‘s first fortune in China, clean power is building the next one in the North Atlantic. 

Norway and Finland, home to immense hydroelectric and nuclear baseloads, have quietly become the new gravity centers for digital infrastructure.

This is the place to be for the AI infrastructure boom. Power prices across parts of the Nordic region are significantly below many major European markets. And, crucially, hydroelectric- and nuclear-heavy grids provide the kind of stable long-duration electricity AI workloads demand. Cold climates also drastically reduce cooling costs for data centers.

That’s the geography of Bitzero’s expansion strategy.

In Norway, the company’s flagship Namsskogan operation already supports active Bitcoin mining and is now becoming the foundation for its AI infrastructure business following the OneQode agreement earlier this month. Bitzero also controls additional Norwegian expansion capacity tied to a broader development pipeline that management says could eventually scale well beyond 300 MW as grid upgrades continue.

In Finland, Bitzero has secured a massive one-gigawatt development campus in Kokemäki tied directly into low-cost Nordic power infrastructure. The site gives the company room to scale both Bitcoin mining and AI compute operations over time as demand for energized capacity continues accelerating across Europe.

In the United States, Bitzero’s (AIBZ) North Dakota footprint gives the company exposure to a completely different energy and regulatory market. The site includes a 225,000-square-foot complex spread across roughly 184 acres, with additional staged power delivery planned through future expansion agreements.

What the May 5th Lease Deal Means for Bitzero

McKinsey estimates AI infrastructure spending could approach $7 trillion globally by 2030, including more than $5 trillion tied directly to AI workloads. But that spending wave could hit a power wall as the industry discovers that building AI infrastructure isn’t just a money problem–it’s a power access problem.  The OneQode agreement officially ushers Bitzero into the lucrative world of data center power.

Now, instead of relying on Bitcoin-related mining economics, the company is moving toward a much bigger piece of the digital world. And it’s a double win for the company.

In Bitcoin mining, Bitzero uses its own electricity to generate revenue from the Bitcoin it produces. Under the AI agreement, Bitzero will generate revenue by leasing the site’s power capacity and infrastructure to OneQode the lease is to be backed by an IG counterparty as per the conditions of the binding letter. But at the same time, OneQode pays the electricity bill tied to running the AI systems inside the facility. That means Bitzero captures the recurring infrastructure revenue from the site without directly absorbing the massive ongoing power costs associated with operating large-scale AI workloads. That places Bitzero at an advantage to its peers, based on internal company research.

According to management, the OneQode agreement is structured at roughly $135 per kilowatt per month with a 3% annual escalator. At full utilization, the 110 MW Namsskogan site could generate roughly $176 million to $178 million in annual revenue. A recent shareholder analysis modeling the agreement estimated potential annual NOI of roughly $151 million based on an 85% margin profile tied to the contemplated lease structure.  

The Bigger Game At the Margins of the Data Center Boom

Across Europe and North America, AI infrastructure developers are running into transformer shortages, interconnection delays, grid congestion, and multi-year energization timelines. Many competing campuses are still years away from delivery because securing large-scale power infrastructure has become harder than securing capital. That shift is one reason public markets have started aggressively rerating companies capable of converting mining infrastructure into AI compute capacity.

Most recently, Hut 8 moved into AI infrastructure through its Fluidstack agreement, while Core Scientific secured multi-billion-dollar HPC contracts tied to CoreWeave. Investors are increasingly valuing these companies around contracted compute infrastructure and energized capacity rather than hash rate growth alone. The capital is simply following the soaring demand.

Commercial real estate giant JLL estimates global data-center capacity will nearly double by 2030, requiring almost 100 GW of new supply. Now, the single most important factor driving data-center expansion is “speed to power”, says JLL.

And with grid connection wait times in major markets already stretching beyond four years, Bitzero is ahead of its time, and the May 5th lease deal locks in a new era for this Bitcoin innovator, backed by O’Leary and charging out of the AI power gate. 

Other companies to keep an eye on:

SpaceX (Nasdaq: SPCX)

SpaceX completed the largest IPO in history on June 12, pricing at $135 a share for a $1.77 trillion valuation and topping $2 trillion in market cap on its first trading day. The listing raised roughly $75 billion and made Elon Musk the world’s first trillionaire on paper. But the AI data center story here isn’t really about rockets. It’s about what SpaceX became after merging with xAI in February: a company that now describes itself in its own IPO filing as the operator of “the largest AI training data center clusters on Earth.”

Those clusters are Colossus 1 and Colossus 2, the xAI supercomputers built near Memphis, Tennessee, originally to train Grok. In May, SpaceX struck a deal with Anthropic that hands over essentially the entire Colossus 1 facility — more than 300 megawatts of capacity across roughly 220,000 NVIDIA GPUs, including H100, H200, and GB200 accelerators. Anthropic will pay xAI $1.25 billion a month through May 2029, a contract that could bring in more than $40 billion over its life.

Oracle Corporation (NYSE: ORCL)

Oracle spent most of the last decade being written off as legacy enterprise software. The AI infrastructure buildout has turned that narrative upside down. Q4 FY2026 revenue hit $19.2 billion, up 21% year over year, with Cloud Infrastructure (IaaS) revenue up 93%. The figure that stops people in their tracks is the remaining performance obligation: $638 billion, up $85 billion in a single quarter.

Oracle Cloud Infrastructure was always NVIDIA’s awkward middle child compared to AWS, Azure, and GCP. That’s changed. The company has been quietly signing multi-billion-dollar AI contracts, including commitments from Meta and NVIDIA itself, and built what it describes as some of the world’s fastest-growing cloud data center capacity.

Arm Holdings plc (NASDAQ: ARM)

Arm doesn’t make chips. It designs the instruction set architectures that most of the world’s chips are built on — and then collects royalties every time one of those chips ships. Every AWS Graviton processor, every Apple M-series chip, every NVIDIA Vera CPU runs on Arm architecture. Q4 FY2026 revenue hit $1.49 billion, up 20% year over year, with data center royalties more than doubling year over year for the second consecutive quarter.

The data center story for Arm is that its architecture is now winning the hyperscaler CPU market at scale. Arm-based CPUs hold approximately 50% market share among the top hyperscalers — AWS Graviton and Trainium, Google Axion and TPUs, Microsoft Cobalt, NVIDIA’s Vera CPU — all run on Arm.

Micron Technology, Inc. (NASDAQ: MU)

Every AI accelerator ships with high-bandwidth memory stacked on top of it, and Micron makes a significant share of that memory. The company reported record Q2 FY2026 revenue of $23.86 billion, up sharply year over year, with CEO Sanjay Mehrotra confirming “records across revenue, gross margin, EPS, and free cash flow.” Q3 FY2026 guidance called for revenue of $33.5 billion at roughly 81% gross margins.

The transformation of memory from commodity to strategic infrastructure is the central thesis. HBM requires specialized manufacturing processes, advanced packaging, and extremely tight integration with the accelerator it ships alongside. SK Hynix is the current leader with roughly 43% market share,

Advanced Micro Devices, Inc. (NASDAQ: AMD)

AMD reported Q1 2026 data center revenue of $5.8 billion, up 57% year over year — an all-time record — with total Q1 revenue of $10.25 billion, up 38%, beating Wall Street consensus by roughly $350 million. Free cash flow more than tripled to $2.57 billion. CEO Lisa Su called the quarter “a clear inflection in our growth trajectory,” and guided Q2 revenue to $11.2 billion, with server CPU revenue alone expected to grow more than 70% year over year.

AMD’s data center story runs on two rails that NVIDIA’s does not. First, EPYC server CPUs, which now hold significant market share in hyperscaler deployments across AWS, Google Cloud, and Microsoft Azure, deliver four consecutive quarters of record server CPU revenue. Second, Instinct GPUs are gaining traction as an alternative to NVIDIA in AI training and inference — and the demand signal is large.

By. Michael Kern

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