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Clearwater Analytics Announces Launch of Secondary Offering of Class A Common Stock

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BOISE, Idaho, March 6, 2024 /PRNewswire/ — Clearwater Analytics Holdings, Inc. (“Clearwater” or the “Company”) (NYSE: CWAN), a leading provider of SaaS-based investment management, accounting, reporting, and analytics solutions, today announced that it has launched an underwritten secondary public offering of an aggregate of 16,250,000 shares of the Company’s Class A common stock, par value $0.001 per share (the “Common Stock”). The Company is conducting a resale of Common Stock on behalf of certain affiliates of Welsh, Carson, Anderson & Stowe (collectively, the “Selling Stockholders”). The Company will not receive any proceeds from the sale of the Common Stock by the Selling Stockholders. The underwriter will offer the shares from time to time for sale in negotiated transactions or otherwise, at market prices prevailing at the time of sale, at prices related to such prevailing market prices or at negotiated prices. The Common Stock is listed on the New York Stock Exchange under the ticker symbol “CWAN.”

J.P. Morgan is acting as the underwriter and sole book-running manager for the proposed offering.

Shares of the Common Stock are being offered in this proposed offering pursuant to an automatically effective shelf registration statement on Form S-3 filed with the United States Securities and Exchange Commission (the “SEC”) on March 8, 2023. A prospectus relating to and describing the terms of the proposed offering will be filed with the SEC and may be obtained from: J.P. Morgan Securities LLC, Attention: Broadridge Financial Solutions, 1155 Long Island Avenue, Edgewood, NY, 11717, telephone: 1-866-803-9204 or email: prospectus-eq_fi@jpmchase.com; or by accessing the SEC’s website at www.sec.gov.

This press release shall not constitute an offer to sell or the solicitation of an offer to buy these securities, nor shall there be any sale of these securities in any jurisdiction in which such offer, solicitation or sale would be unlawful prior to the registration or qualification under the securities laws of any such jurisdiction. Any offers, solicitations or offers to buy, or any sales of securities will be made in accordance with the registration requirements of the Securities Act of 1933, as amended.

About Clearwater Analytics

Clearwater Analytics (NYSE: CWAN), a global, industry-leading SaaS solution, automates the entire investment lifecycle. With a single instance, multi-tenant architecture, Clearwater offers award-winning investment portfolio planning, performance reporting, data aggregation, reconciliation, accounting, compliance, risk, and order management. Each day, leading insurers, asset managers, corporations, and governments use Clearwater’s trusted data to drive efficient, scalable investing on more than $7.3 trillion in assets spanning traditional and alternative asset types.

Forward-Looking Statements

This press release contains “forward-looking statements” within the meaning of the safe harbor provisions of the Private Securities Litigation Reform Act of 1995. These forward-looking statements are based on management’s beliefs and assumptions and on information currently available to management. Forward-looking statements include information concerning the terms of the proposed public offering, the Company’s possible or assumed future results of operations, business strategies, technology developments, financing and investment plans, dividend policy, competitive position, industry, economic and regulatory environment, potential growth opportunities and the effects of competition. Forward-looking statements include statements that are not historical facts and can be identified by terms such as “anticipate,” “believe,” “could,” “estimate,” “expect,” “intend,” “aim,” “may,” “plan,” “potential,” “predict,” “project,” “seek,” “should,” “will,” “would” or similar expressions and the negatives of those terms, but are not the exclusive means of identifying such statements.

Forward-looking statements involve known and unknown risks, uncertainties, and other factors, many of which are beyond the Company’s control, that may cause the Company’s actual results, performance, or achievements to be materially different from any future results, performance or achievements expressed or implied by the forward-looking statements. These risks and uncertainties include, but are not limited to, those discussed under “Risk Factors” in the Company’s Annual Report on Form 10-K for the year ended December 31, 2023 filed with the SEC on February 29, 2024, and in other periodic reports filed by the Company with the SEC. These filings are available at www.sec.gov and on the Company’s website. Given these uncertainties, you should not place undue reliance on forward-looking statements. Also, forward-looking statements represent management’s beliefs and assumptions only as of the date of this press release and should not be relied upon as representing the Company’s expectations or beliefs as of any date subsequent to the time they are made. The Company does not undertake to and specifically declines any obligation to update any forward-looking statements that may be made from time to time by or on behalf of the Company.

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SOURCE Clearwater Analytics Holdings, Inc.

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As 2025 IRS Mileage Rate Hits 70 Cents, Expert Warns: Ditch Risky Apps for Secure Paper Tracking

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15 minutes ago

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December 22, 2024

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Gig economy expert Ed Ryder warns against the risks of mileage tracking apps, and advocates using paper-based tracking methods instead. He introduces The Big Mileage Form, a secure alternative developed over two years to meet the specific needs of food delivery gig workers. Ryder highlights recent tech failures, like the July 2024 global IT outage, to underscore the vulnerabilities of digital solutions. The press release also mentions Ryder’s significant mileage deduction using his form and directs readers to GigCoach.net for additional resources, including a consumer tutorial to drive better food delivery outcomes and a gig coach training program.

PHILADELPHIA, Dec. 22, 2024 /PRNewswire-PRWeb/ — As the IRS announces a standard mileage rate of 70 cents per mile for 2025, gig economy expert Ed Ryder, who has completed over 10,000 deliveries with his own car using major food delivery platforms, urges fellow gig workers to reconsider their mileage tracking methods. While acknowledging the convenience of digital solutions, Ryder advocates for a return to secure, paper-based tracking to protect valuable mileage deductions.

With the mileage rate at 70 cents, accurate tracking is crucial for gig workers and small business owners. Mileage apps seem convenient, but they risk data loss from outages, glitches, and cyber attacks. Many overlook these significant dangers.

“With the mileage rate increasing to 70 cents, accurate tracking is more crucial than ever for gig workers and small business owners,” says Ryder, creator of The Big Mileage Form. “While mileage tracking apps seem convenient, they come with significant risks that many overlook. Network outages, app glitches, and cyber attacks can jeopardize months of data.”

Ryder points to the July 2024 global IT outage as a prime example of technology’s vulnerabilities. “A faulty software update caused mass airline disruptions and impacted other industries, catching major corporations off guard. This incident highlights that even in our digital age, software isn’t infallible. For me, I simply won’t trust mileage tracking apps with my most important tax deduction.”

To address these concerns, Ryder developed a comprehensive, paper-based solution. “I spent two years perfecting The Big Mileage Form, tailoring it to the specific needs of food delivery gig workers,” he explains. “At 11×17 inches, it provides ample space for detailed record-keeping and, crucially, it’s immune to software glitches, data breaches, and ransomware attacks.”

Ryder’s meticulous paper-based record-keeping resulted in a mileage deduction exceeding $19,000 on his 2023 federal taxes. “All my business-related miles are thoroughly documented on paper. I’m fully prepared to defend this deduction in case of an audit. This level of confidence is what I aim to provide other gig workers.”

“In today’s digital age, sometimes the most secure solution is the simplest one,” Ryder concludes. “My form not only ensures data security but also prepares users for potential IRS audits. It’s time to reconsider the old-fashioned, but reliable pen-and-paper method.”

For those interested in learning more about effective mileage tracking and other aspects of gig work, Ryder offers valuable resources on GigCoach.net. These include a tutorial for consumers titled ‘Fair Deal Delivery,’ which provides insights on how to improve food delivery outcomes. Additionally, experienced food delivery couriers can explore Ryder’s gig coach training program. Visit GigCoach.net to access these resources and learn more about The Big Mileage Form.

Media Contact

Ed Ryder, Match Experiment LLC, 1 484-493-8740, hello@ideamaned.com, gigcoach.net

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SOURCE Gig economy expert Ed Ryder

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DATA BREACH ALERT: Edelson Lechtzin LLP Is Investigating Claims On Behalf Of Ascension Health Customers Whose Data May Have Been Compromised

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15 minutes ago

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December 22, 2024

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NEWTOWN, Pa., Dec. 22, 2024 /PRNewswire/ — The law firm of Edelson Lechtzin LLP is investigating claims regarding data privacy violations by Ascension Health (“Ascension”). Ascension learned of suspicious activity on or about May 8, 2024. To join this case, go HERE.

About Ascension Health

Ascension is a prominent non-profit health system in the nation and operates under Catholic principles.

What happened?

On or about May 8, 2024, Ascension detected unauthorized activity in its computer systems. Ascension initiated an investigation, which included retaining consulting cybersecurity experts and notifying the FBI. The investigation determined that between May 7 and 8, 2024, a cybercriminal accessed files containing personal information about Ascension’s patients and employees. This information included names, medical records, payment details, insurance information, government identification numbers, and other personal data such as dates of birth and addresses. Approximately 6 million individuals have been affected by this data breach.

How can I protect my personal data?

If you receive a data breach notification, you must guard against possible misuse of your personal information, including identity theft and fraud, by regularly reviewing your account statements and monitoring your credit reports for suspicious or unauthorized activity. Additionally, you should consider legal options for mitigating such risks.

Edelson Lechtzin LLP is investigating a class action lawsuit to seek legal remedies for customers whose sensitive personal and patient data may have been compromised by the Ascension data breach.

For more information, please contact:

Marc H. Edelson, Esq.
EDELSON LECHTZIN LLP
411 S. State Street, Suite N-300
Newtown, PA 18940
Phone: 844-696-7492
Email: medelson@edelson-law.com
Web:  www.edelson-law.com 

About Edelson Lechtzin LLP
Edelson Lechtzin LLP is a national class action law firm with offices in Pennsylvania and California. In addition to cases involving data breaches, our lawyers focus on class and collective litigation in cases alleging securities and investment fraud, violations of the federal antitrust laws, employee benefit plans under ERISA, wage theft and unpaid overtime, consumer fraud, and catastrophic injuries.

This press release may be considered Attorney Advertising in some jurisdictions. No class has been certified in this case, so counsel does not represent you unless you retain one. You may select counsel of your choice. You may also remain an absent class member and do nothing now. Your ability to share in any potential future recovery does not depend on serving as lead plaintiff.

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SOURCE Edelson Lechtzin LLP

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Earth’s pulse monitored: a review highlights remote sensing time series progress

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4 hours ago

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December 22, 2024

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As urbanization accelerates and environmental dynamics shift, the need for accurate and timely terrestrial monitoring has never been more urgent. A review has introduced a novel approach to remote sensing time series analysis, integrating multi-source data to enable near real-time monitoring. This innovative methodology promises to transform environmental conservation and urban planning by providing unprecedented insights into terrestrial changes and offering a more precise understanding of environmental dynamics.

GUANGZHOU, China, Dec. 22, 2024 /PRNewswire-PRWeb/ — An international team of researchers from South China Normal University, the University of Connecticut, and the Chinese Academy of Sciences has made a significant breakthrough in remote sensing. Their review, published (DOI: 10.34133/remotesensing.0285) in the Journal of Remote Sensing on December 11, 2024, addresses key challenges in remote sensing, such as incomplete data and noise interference. The team’s new time series analysis technique leverages advanced data reconstruction and fusion methods, significantly enhancing the precision and efficiency of remote sensing for monitoring environmental changes.

The research team has developed an advanced time series analysis technique that combines deep learning algorithms with traditional remote sensing methods to integrate data from various remote sensing sources. This innovative approach allows for the extraction of subtle patterns from large, complex datasets, which is crucial for monitoring critical environmental parameters such as land use and vegetation health. Unlike conventional techniques that struggle with incomplete or noisy data, this new methodology offers enhanced accuracy and more reliable insights into terrestrial dynamics, paving the way for more effective environmental monitoring.

Central to the study’s success is the integration of Long Short-Term Memory (LSTM) networks and Generative Adversarial Networks (GANs) to address the challenges posed by missing or noisy data. The LSTM networks capture temporal trends over time, while the GANs generate synthetic data that mimics real-world observations to fill gaps and correct for atmospheric distortions. This dual approach has resulted in a cleaner, more accurate time series dataset, which was validated against independent ground truth measurements. The researchers demonstrated significant improvements in key vegetation indices, such as the Normalized Difference Vegetation Index (NDVI), setting a new benchmark in the field of remote sensing.

Experts in the field have lauded the study’s potential to revolutionize remote sensing applications. They see the method as a transformative tool for enhancing high-resolution monitoring and extending its coverage, particularly in agricultural surveillance, urban planning, and environmental management. “This method represents a crucial advancement in our ability to monitor environmental changes,” says Professor Fu. “As it evolves, it could play a key role in addressing climate change and other global challenges.”

The methodology’s future applications are vast, especially in global environmental monitoring and supporting sustainable development goals. By integrating multi-temporal data from Landsat and Sentinel-2 satellites, the team has created a framework for accurate and continuous terrestrial analysis. As computational power advances and algorithms improve, this technology is expected to become a vital tool for natural resource management, disaster response, and climate change mitigation. In the years to come, it could provide critical data to help policymakers address pressing environmental issues on a global scale.

References

DOI

10.34133/remotesensing.0285

Oiginal Source URL

https://doi.org/10.34133/remotesensing.0285

Funding information

This work was supported by the National Nature Science Foundation of China (grant numbers 42425001 and 42071399).

About Journal of Remote Sensing

The Journal of Remote Sensing, an online-only Open Access journal published in association with AIR-CAS, promotes the theory, science, and technology of remote sensing, as well as interdisciplinary research within earth and information science.

Media Contact

George Hua, Chuanlink Innovations, 1 8656606278, TranSpread1@gmail.com, http://chuanlink-innovations.com/

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SOURCE Journal of Remote Sensing

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