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Your Asset Register Is the Reason Allied Data Sharing Fails

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Medical implants and similar procedures have created a new paradigm for healthcare for those suffering from deficits. It allows you to regain function and receive an improved quality of life. These implants, from orthopedic devices to vascular stents, are deliberately constructed to become part of the human body. 

Parts for brand new equipment already match an item sitting in the catalogue more than 30 percent of the time in the United States.

In Canada and many other NATO nations the figure is closer to 60 percent, according to the NATO Group of National Directors on Codification (AC/135). Those are not new items. They are existing items being re-catalogued under a second identity because nobody could find the first one.

That statistic is an asset data quality measurement wearing a procurement costume. In a majority of cases in some nations, the register was not searchable enough to tell a cataloguer that the item already existed. Every one of those duplicates becomes a permanent obstacle to sharing data with anyone else.

Defence organisations spend heavily on systems meant to make asset data shareable across national boundaries. The systems are rarely the constraint. The register they are pointed at usually is.

What dirty asset data looks like in a defence register

Data quality problems in asset registers are specific and recognisable. They are not vague “poor data hygiene”. They are four defects that recur across almost every large estate.

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Duplication. The same physical item held under two or more identities. It happens when a part number is entered with different punctuation, when a supplier changes its own numbering, when two units catalogue the same item independently or when a transfer brings two registers together without reconciliation.

Incomplete records. An entry with a description but no manufacturer. A serial number with no NSN. An asset with a location field that says “in use”. Incomplete records fail any automated match with a partner nation’s data.

Free-text descriptions. “Pump, hyd, 3in” and “Hydraulic pump 3 inch” describe the same object and match nothing. Structured description standards exist precisely because free text does not survive machine comparison.

Orphan records. Assets in the register with no physical counterpart. Physical assets with no register entry. Both are visibility failures. The first inflates holdings and delays procurement decisions. The second means the item is invisible to planning until someone trips over it.

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The UK National Audit Office described the consequences plainly in its September 2023 report on defence inventory management. The Ministry of Defence held an inventory portfolio valued at £11.8 billion covering around 520,000 inventory types and around 460 million individual items, spent £1.5 billion on inventory in 2022-23 and held more than 105,500 cubic metres of unfit inventory in central warehouses. Two of its core inventory systems were nearly 40 years old. The NAO concluded that inventory data had limitations undermining the department’s ability to make effective decisions.

Why cleansing has to come before interoperability

There is a sequencing rule that most programmes learn the expensive way: cleanse first, then mark, then integrate.

Marking a dirty register makes the defects permanent and machine-readable. If two duplicate entries each get a Unique Item Identifier, the duplication is now stamped into metal and loaded into a registry. Undoing it later means physically locating both assets, verifying which record is correct, retiring one identity and re-marking one item. That is a field operation, not a database update.

Integrating a dirty register makes the defects visible to your partners. Data exchange with an allied nation exposes every inconsistency at once, usually during an exercise or an operation when nobody has time to arbitrate.

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The sequence works because each step depends on the one before it. Cleansing produces one true record per item. Marking binds that record to a physical asset with a durable identifier. Integration then has something reliable to exchange. Camcode Global’s published work on NATO interoperability documents this combination of unique identification and data cleansing as the foundation for asset data that partner nations can act on.

How to cleanse a defence asset register

The work is methodical rather than clever. Six stages cover most estates.

  1. Extract and profile. Pull the full register and measure it before changing anything. Count records, null rates per field, distinct value counts and description length distributions. Profiling tells you which defects you actually have rather than which ones you assume.
  2. Normalise. Standardise formats before attempting any matching. Part number punctuation, case, leading zeros, unit of measure, manufacturer name variants. A large share of apparent duplicates resolve at this stage without any judgement calls.
  3. Match and deduplicate. Compare records on manufacturer plus part number, then on structured description attributes, then on NSN where present. Flag probable matches for human review rather than auto-merging. Merging two genuinely different records is harder to reverse than leaving two duplicates in place.
  4. Enrich against authoritative catalogues. Resolve items to NSNs using the NATO catalogue where the item is codified. The NATO codification material puts around 16 million items in the system, with 7 million active items in the United States central catalogue alone, so most common defence items already have an agreed identity waiting to be applied.
  5. Structure the descriptions. Replace free text with attribute-value pairs against a recognised description standard. This is what makes the register searchable. Searchability is what prevents the next generation of duplicates.
  6. Reconcile to the physical estate. Walk the sites. Confirm that register entries have physical counterparts and that physical assets have entries. This is the stage most often cut for cost. It is the stage that finds the orphans.

Keeping the register clean afterwards

A cleansed register decays unless the intake process changes. Three controls hold the line.

Search before create. A cataloguer creating a new item record must be shown probable matches before the record can be saved. The 30 to 60 percent duplication figures in the NATO material exist because this control is missing or easy to skip.

Identity at the point of receipt. Items should carry a machine-readable identity when they arrive rather than acquiring one later. A scan at goods-in that resolves to an existing record is the cheapest deduplication control available.

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Durable physical marks. A register stays synchronised with reality only if the physical identifier survives. Printed labels and adhesive media fail under fuel, salt, abrasion and UV exposure. When a mark is lost, the asset either re-enters the register as a new item or becomes an orphan. Photosensitive anodised aluminium and laser-etched metal plates are specified for this reason on assets with long service lives in harsh environments.

What it costs to skip this

The costs are indirect, which is why they get tolerated for years.

Duplicate procurement. Buying an item that is already held. The NATO codification material notes that private sector organisations adopting standard identification methods cut inventory by as much as 50 percent, with individual cases showing reductions of 75 million and 97 million US dollars.

Sustainment cost growth. The US Government Accountability Office reported in February 2024 that operating and support costs account for about 70 percent of a weapon system’s total life-cycle cost. Seven of the 16 systems it assessed for fiscal year 2022 had critical operating and support cost growth. Sustainment decisions are made from asset records. Unreliable records produce cautious decisions, which in sustainment means higher stock and earlier replacement.

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Failed data exchange. This is where dirty data stops being an internal inefficiency. NATO’s reporting on multinational capability cooperation lists 26 participating countries in the Multinational Ammunition Warehousing Initiative and 24 in Land Battle Decisive Munitions. Pooled arrangements at that scale need every participating nation to describe stored items identically. One dirty register degrades the shared picture for everyone in the pool.

Wasted investment in new systems. Replacing an inventory system without cleansing the data migrates every defect into a more expensive environment.

The timing argument is straightforward. NATO reports that European Allies and Canada spent more than 571 billion US dollars on defence in 2025 in 2021 prices, over 90 billion more than the previous year, against a Hague Summit commitment to reach 5 percent of GDP by 2035. Registers that already struggle are about to absorb a large volume of new equipment. Cleansing a register of 520,000 item types is difficult. Cleansing it after another procurement cycle is harder.

Frequently asked questions

How long does an asset data cleansing project take? Profiling and normalisation move quickly. The stages that set the timeline are human review of probable duplicate matches and physical reconciliation across sites. Estate size and site count matter more than record count.

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Do we cleanse before or after marking assets? Before. Marking a dirty register commits its defects to physical metal and to a registry. Unwinding that requires field work rather than a data fix.

Does codifying to NSNs solve the problem on its own? It solves classification. It does not solve instance-level traceability, which requires a unique item identifier under STANAG 2290 or an equivalent national standard.

What is the single highest-value control to add? A mandatory search-before-create step at the point of cataloguing. It is inexpensive to implement and it addresses the defect that generates most of the others.

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FCPI ETF: Fighting Inflation With Strong Fundamentals And Moderate Volatility (BATS:FCPI)

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FCPI ETF: Fighting Inflation With Strong Fundamentals And Moderate Volatility (BATS:FCPI)

This article was written by

Fred Piard, PhD. is a quantitative analyst and IT professional with over 30 years of experience working in technology. He is the author of three books and has been investing in data-driven systematic strategies since 2010. Fred runs the investing group Quantitative Risk & Value where he shares a portfolio invested in quality dividend stocks, and companies at the forefront of tech innovation. Fred also supplies market risk indicators, a real estate strategy, a bond strategy, and an income strategy in closed-end funds. Learn more.

Analyst’s Disclosure: I/we have a beneficial long position in the shares of GOOGL either through stock ownership, options, or other derivatives. I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it (other than from Seeking Alpha). I have no business relationship with any company whose stock is mentioned in this article.

Seeking Alpha’s Disclosure: Past performance is no guarantee of future results. No recommendation or advice is being given as to whether any investment is suitable for a particular investor. Any views or opinions expressed above may not reflect those of Seeking Alpha as a whole. Seeking Alpha is not a licensed securities dealer, broker or US investment adviser or investment bank. Our analysts are third party authors that include both professional investors and individual investors who may not be licensed or certified by any institute or regulatory body.

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Bitcoin Hovers Near $65,000, Down Nearly 45% From Record High as Crypto Bear Market Persists This Week

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MacBook Pro

Bitcoin traded near $65,574 on Monday, up modestly on the day but still deeply entrenched in a bear market that has wiped out nearly half the cryptocurrency’s value since it hit an all-time high just nine months ago.

A modest gain within a much larger decline

Bitcoin rose $233.26, or 0.36%, to $65,574.34 as of early afternoon trading Monday, according to market data. The cryptocurrency opened the day at $65,333.12, roughly 1.6% higher than Sunday’s opening price, before drifting between roughly $64,974 and $65,574 through the morning session. Ethereum, the second-largest cryptocurrency by market value, also gained ground Monday, opening at $1,953.02, up 4.3% from the previous day.

Despite the day’s gains, the broader picture for bitcoin remains grim. According to Fortune’s daily price tracking, bitcoin’s price Monday morning represented an increase of roughly $901 from the previous day but a decline of approximately $54,090 compared with the same point a year earlier, a drop of more than 45% year-over-year.

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A steep fall from October’s record high

Bitcoin reached its all-time high of $126,198.07 on Oct. 6, 2025, a peak that now sits roughly 48% above current trading levels. The decline since that high has unfolded in stages throughout 2026, punctuated by a brutal crash in February that sent the cryptocurrency plunging from more than $80,000 in late January down to around $60,000, before a partial recovery. A separate, sharper leg down occurred in June, when bitcoin suffered a roughly 20.48% monthly drop, extending a broader slide that pushed prices as low as the $58,000 range at points during the summer.

What’s driving the extended downturn

Analysts have pointed to a combination of factors behind bitcoin’s sustained weakness this year, including sizable outflows from bitcoin exchange-traded funds, reduced market liquidity, a stronger U.S. dollar, and generally weak risk appetite among both institutional and retail investors. Crypto analyst Michaël van de Poppe, commenting on the market’s technical posture during an earlier leg of the decline, said he was watching for signs of a genuine reversal that had yet to materialize. “I’d prefer to see it revert back with a strong liquidity wick, which hasn’t happened yet,” van de Poppe said, noting that the broader trend remained clearly downward at the time.

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Wall Street’s outlook on bitcoin has grown increasingly divided as the year has progressed. Citi cut its 12-month bitcoin price target to $82,000 from $112,000 earlier this year, citing continued ETF outflows, weak investor interest, and slow progress on U.S. crypto legislation, while setting a bear-case scenario near $53,000. By contrast, Standard Chartered’s Geoffrey Kendrick has maintained a $100,000 year-end target for bitcoin, arguing that the current weakness could ultimately prove to be a buying opportunity if ETF selling pressure eases. Bernstein has gone even further, maintaining a $150,000 year-end target and arguing earlier this year that bitcoin had likely already found its bottom.

Monday’s gains tied to easing geopolitical tensions

The modest uptick in both bitcoin and ethereum prices Monday came as broader financial markets reacted positively to news that the United States had paused airstrikes against Iranian military targets over the weekend, part of a broader push to restore stability following weeks of escalating conflict in the Middle East. That de-escalation lifted risk appetite across a range of asset classes Monday, including stocks and cryptocurrencies, though it remains unclear whether the improved sentiment will prove durable given how volatile the broader conflict has been throughout the year.

A pivotal week ahead for risk assets

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Bitcoin’s price action this week is likely to be shaped by several major catalysts beyond developments in the Middle East. The Federal Reserve is set to conclude a policy meeting this week, with markets closely watching for signals on the future path of interest rates. A dense slate of corporate earnings reports is also due from major companies across the stock market, and how investors treat risk-sensitive assets like cryptocurrency in response to both events is expected to offer clues about whether bitcoin’s recent stabilization can hold or give way to renewed selling pressure.

Financial advisers grow more cautious

The extended downturn has prompted some financial advisers to reconsider their stance on cryptocurrency as an investment class, according to reporting on the shift in sentiment. That caution reflects broader questions within the investment community about how much of bitcoin’s earlier rally was driven by speculative momentum versus durable institutional demand, a debate that has intensified as ETF outflows and weaker spot demand have weighed on prices throughout much of 2026.

A market still enormous despite the decline

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Even after this year’s steep losses, bitcoin remains by far the largest cryptocurrency by market value, with a total market capitalization of roughly $1.33 trillion as of Monday, more than five times larger than Ethereum’s approximately $233 billion market cap. Bitcoin’s history includes far more dramatic swings than the current downturn; the cryptocurrency’s all-time low value was just $0.04865, recorded in July 2010, underscoring how dramatically its value has grown over the past decade and a half even accounting for this year’s sharp pullback from record highs.

With bitcoin trading well below the key $65,600 resistance level that some analysts have identified as critical for any near-term recovery attempt, traders are likely to watch closely for whether the cryptocurrency can build on Monday’s modest gains or whether the broader bearish trend that has defined 2026 reasserts itself. A decisive move above that resistance level could open the door to a push toward $70,000 or higher in the near term, according to some technical forecasts, while a failure to hold current levels could renew pressure toward the low-$60,000s or below, keeping bitcoin’s path forward this summer highly uncertain heading into the Federal Reserve’s policy decision and a heavy stretch of corporate earnings this week.

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Rigetti Computing Stock Surges 12% on Hybrid Quantum Supercomputer Deal With HPE and Pittsburgh Center

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Rigetti Computing Stock Surges 11% as 108-Qubit Cepheus-1 Quantum System

NEW YORK — Shares of Rigetti Computing Inc. climbed more than 12 percent in early trading Monday after the company announced an expanded collaboration to develop a hybrid quantum-classical supercomputing testbed.

The stock rose $1.74, or 12.30 percent, to $15.89 as of 9:49 a.m. Eastern time. Trading volume was active as the market opened. The previous close was $14.15.

In a statement released Monday, Rigetti said it will deliver a 9-qubit Novera quantum computing system to a new testbed at the Pittsburgh Supercomputing Center. The project is funded by a $5 million National Science Foundation grant. The effort builds on the company’s existing strategic collaboration with Hewlett Packard Enterprise to commercialize quantum-enabled high-performance computing solutions.

The announcement comes as Rigetti, a developer of superconducting quantum computers, continues to advance its hardware and expand access to its systems. The company has positioned itself as a pure-play participant in the emerging quantum computing sector, which remains in early stages of commercial development.

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Rigetti’s Cepheus-1-108Q system, a 108-qubit modular quantum computer based on its proprietary chiplet architecture, became generally available earlier this year. The system is accessible through the company’s Quantum Cloud Services platform and Amazon Braket. It consists of 12 interconnected 9-qubit chiplets and has reported median two-qubit gate fidelity of 99.1 percent.

In the first quarter of 2026, Rigetti reported revenue of $4.4 million, nearly triple the amount from the year-earlier period. The growth was attributed to increased government and commercial activity. Research and development spending totaled $19.9 million in the quarter. The company ended the period with approximately $569 million in cash, cash equivalents and available-for-sale investments and no debt.

Rigetti is scheduled to report second-quarter results on Aug. 6 after the market close. Analysts project continued revenue growth for the period.

In May, the company signed a letter of intent with the U.S. Department of Commerce for potential funding of up to $100 million over three years to support research and development aimed at scaling superconducting quantum computers. The arrangement could also involve the government taking an equity stake.

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Rigetti has also secured an $8.4 million contract to deliver a 108-qubit system to India’s Centre for Development of Advanced Computing, with deployment planned for the second half of 2026. The company continues work on longer-term milestones, including plans for larger systems in the United Kingdom over the next several years.

Quantum computing seeks to solve certain complex problems more efficiently than classical computers by using quantum bits, or qubits, that can exist in multiple states simultaneously. Commercial applications are still limited, and the technology faces significant technical hurdles related to error rates, scalability and stability. Industry observers generally view widespread practical use as years away.

Wall Street analysts largely maintain constructive ratings on the shares. Consensus price targets in recent reports have centered in the mid-to-high $20s to low $30s, implying substantial upside from current levels according to those forecasts. The stock has experienced significant volatility, with a 52-week range of $12.53 to $58.15.

Investors evaluating Rigetti for the longer term weigh the company’s technological progress and government support against its limited current revenue, ongoing cash burn and the uncertain timeline for broader commercial adoption of quantum computing. The firm’s strong balance sheet provides runway for continued investment in manufacturing capacity, refrigeration systems and architecture improvements.

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The hybrid approach pursued with HPE and the Pittsburgh Supercomputing Center reflects a broader industry trend of integrating quantum processors with classical high-performance computing resources. Such testbeds allow researchers to explore practical workflows while hardware capabilities advance.

Rigetti’s modular chiplet design is intended to support scaling to higher qubit counts more efficiently than monolithic approaches. Management has emphasized improvements in fidelity and system performance as key priorities throughout 2026.

The stock’s early Monday advance followed a period of pressure in quantum computing shares earlier in the month, as investors rotated away from high-beta technology names after strong prior gains. Broader market conditions and sentiment toward speculative technology sectors continue to influence trading in the name.

As of mid-morning Monday, Rigetti’s market capitalization stood near $4.7 billion based on publicly traded shares. The company remains focused on executing its technical roadmap while expanding customer access through cloud platforms and on-premise deployments.

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Whether the shares prove a long-term investment depends on the pace of technological milestones, the conversion of research collaborations into sustained revenue, and the overall development of the quantum computing market. Near-term catalysts include the upcoming earnings report and further progress on government-supported projects.

The Pittsburgh collaboration adds another data point to Rigetti’s expanding network of academic and industry partnerships. The delivery of the Novera system is expected to support research into hybrid algorithms and applications that combine quantum and classical computing resources.

In an industry characterized by rapid technical claims and long commercialization horizons, Rigetti’s combination of hardware advancements, cash reserves and public-sector engagement has kept it among the more closely followed pure-play names. Monday’s stock move reflected investor reaction to the latest partnership expansion amid ongoing interest in the sector’s long-term potential.

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Kforce Inc. (KFRC) Q2 2026 Earnings Call Transcript

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OneWater Marine Inc. (ONEW) Q1 2026 Earnings Call Transcript