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MOSTLY AI Launches Synthetic Text to Overcome AI Training Plateau and Unlock High-Value Proprietary Data

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As the world runs out of public data to train AI, the new functionality safely unlocks proprietary text data to accelerate LLM development for the deployment of high-quality generative AI solutions

VIENNA and NEW YORK, Oct. 1, 2024 /PRNewswire/ — MOSTLY AI, a pioneer in structured synthetic data, has launched a synthetic text functionality, expanding the power and potential of synthetic data to train AI models as global entities struggle to leverage proprietary data assets because of privacy concerns. With this new functionality, enterprises can unlock the vast amount of proprietary text collected, such as emails, customer support transcripts, and chatbot conversations, without compromising privacy, to train and fine-tune large language models (LLMs) for faster innovation and better decision-making.

“Today, AI training is hitting a plateau as models exhaust public data sources and yield diminishing returns,” said Tobias Hann, CEO of MOSTLY AI. “To harness high-quality, proprietary data, which offers far greater value and potential than the residual public data currently being used, global enterprises must take the leap and leverage both structured and unstructured synthetic data to safely train and deploy forthcoming generative AI solutions.” 

By 2026, Gartner predicts that 75% of companies will use generative AI to create synthetic customer data, up from less than 5% in 2023. MOSTLY AI is enabling this mass adoption by expanding its platform to include synthetic text, which solves three major enterprise challenges today:

Real text data often contains sensitive information, such as personally identifiable information (PII), posing a risk of unintended exposure when used in LLMs.The available text data may not be optimal for LLM training as it often lacks diversity, and manually creating this specialized data is labor-intensive and can yield low-quality results.Companies are shifting focus from public to proprietary data. However, text data is never standalone; it comes intertwined with other structured data about their customer base.

Synthetic data is set to become the driving force behind LLMs. Leveraging advanced tools to unveil deep insights hidden in proprietary data is paramount for strategic, informed decision-making across operations. MOSTLY AI provides companies with a synthetic representation that reflects both the text and the structured insights they hold. By uniquely integrating structured and unstructured data, MOSTLY AI enables enterprises to safely create a complete and statistically accurate picture of their proprietary data assets to fine-tune and deliver high-quality, bespoke generative AI solutions in a safe and compliant way.

In addition to safety and compliance, a critical factor to consider with synthetic text is its quality. When training a downstream text classifier, synthetic text generated by the MOSTLY AI Platform delivers performance improvement as much as 35% compared to text generated by prompting GPT-4o-mini providing either no or just a few real-world examples. This significant boost demonstrates MOSTLY AI’s ability to produce high-quality, impactful synthetic data.

With this launch, enterprises can take any model from Hugging Face and fine-tune it with proprietary text data to generate synthetic data, streamlining a process that is typically complex and time-consuming. This innovation by MOSTLY AI makes it extremely convenient for large organizations to harness the power of creative, private, high quality synthetic text.

“Being able to seamlessly leverage open source models like our own Viking-7B on MOSTLY AI’s platform underlines the transformative potential of synthetic data,” said Peter Sarlin, CEO of Silo AI. “With the ability to privacy-preserving fine-tune models using proprietary text data, we’re moving beyond the sheer quantity of data to a focus on quality, which is critical for the future of AI training.”

“Bringing almost a decade of deep technical expertise, MOSTLY AI delivers superior quality and reliability, and is backed by a highly experienced team and industry-leading technological excellence,” said Christoph Hornung, Partner at Molten Ventures, investor in MOSTLY AI. “With the platform’s expansion into synthetic text, MOSTLY AI is well-positioned to support any enterprise with its sensitive data and LLM needs.”

Founded in 2017, MOSTLY AI works with global enterprises and partners including AWS, Databricks, O2 Telefónica, and more. To learn more about the company’s synthetic text functionality or get in touch with the team, please visit mostly.ai.

About MOSTLY AI
MOSTLY AI pioneered the creation of synthetic data for AI model development. Datasets generated by the MOSTLY AI platform look just as real as a company’s original customer data with just as many details, but without the original personal data points – helping companies comply with privacy protection regulations such as GDPR and CCPA. The fast-growing company currently works with multiple Fortune 100 insurers and banks in Europe and North America. Its team has the deepest expertise in helping companies get business value out of synthetic data.

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SOURCE MOSTLY AI

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Greenzie releases 2025 Annual Safety Report, documenting multi-year safety performance at commercial scale

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The data shows zero lost-time injuries, zero OSHA medical attentions and zero human near-misses across real-world operation

ATLANTA, April 23, 2026 /PRNewswire/ — Greenzie, the technology platform powering commercial autonomy across multiple OEMs, today shared multi-year safety data from real-world commercial operation, documenting more than 150,000 autonomous miles with zero lost-time injuries, zero OSHA medical attentions and zero human near-misses. The data is published in Greenzie’s 2025 Annual Safety Report, available at greenzie.com/safety.

The report is based on extensive operational data spanning more than 5.4 billion square feet of turf mowed, 68,000+ hours of autonomous mowing and more than 50,000 operator days, the equivalent of 265 mowing seasons.

“Greenzie is helping define safety in autonomous landscape operations, and transparency is a critical part of that,” said Steve Bush, chief operating officer of Greenzie. “These results show that commercial autonomy is operating safely at meaningful scale in the field. Transparency matters because as this category matures, real-world data helps build confidence in what responsible deployment looks like.”

The report’s findings are particularly significant in the context of the U.S. landscaping industry, which employs roughly 1.3 million workers and experiences a higher-than-average rate of workplace accidents compared to other fields. Greenzie’s multi-year operating data shows that autonomy is not theoretical; it is already being deployed consistently and performing safely at scale.

“Greenzie Powered Autonomy™ has been validated through years of sustained use in the field,” Bush said. “That level of real-world performance reinforces both the reliability of our platform and the broader readiness of commercial autonomy.”

Greenzie attributes this performance to a disciplined safety approach that includes robust perception, tested operating standards and continuous validation in real-world commercial environments.

For more information about Greenzie, visit greenzie.com.

About Greenzie

Founded in 2018, Greenzie is the technology platform powering commercial autonomy. Created to solve the landscape industry’s labor and productivity challenges, Greenzie works with leading equipment manufacturers to deliver the software, navigation and safety systems that enable mowing and other outdoor power equipment to operate autonomously in real-world commercial environments. Today, Greenzie’s platform is running on hundreds of machines in active use, helping manufacturers bring autonomy to market and allowing operators to get more done with limited labor—moving autonomy from early experimentation to everyday operations. For more information, visit greenzie.com.

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SOURCE Greenzie

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CGI renews global SAP S/4HANA operations and SAP BTP operations certifications, reinforcing its consistent, quality delivery at scale

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MONTRÉAL, April 23, 2026 /CNW/ – CGI (NYSE: GIB) (TSX: GIB.A), one of the largest independent IT and business consulting services firms in the world, announced that it has achieved the following recertifications for its global operation capabilities:

SAP S/4HANA operations and works with RISE with SAP SAP BTP operations and works with RISE with SAP

These recertifications highlight CGI’s ability to deliver consistent, high-quality managed SAP services and operations across regions, including services aligned with RISE with SAP. CGI’s SAP-based services help clients reduce operational risk, improve performance and efficiency and scale transformation with greater predictability. This also builds on CGI’s SAP alliance relationship momentum, including its recent AWS SAP Competency Partner status which highlights CGI’s expertise in modernizing mission-critical SAP workloads with AI-enabled cloud solutions.

“Running SAP at enterprise scale requires a partner with proven capabilities, delivery discipline and the ability to innovate securely, including through the integration of AI to deliver tangible outcomes,” said Didier Thérond, President, CGI France operations, and Global Executive Sponsor for CGI’s partnership with SAP. “These global recertifications reinforce CGI’s end-to-end SAP capabilities, including AI-enabled services, helping clients operate mission-critical systems with confidence and advance their modernization and cloud strategies.”

“CGI remains a trusted partner in our SAP Operations Partner program, consistently demonstrating a structured and disciplined approach to certification,” said Rudolf Scheipers, VP, Head of SAP Operations Partner Certification, SAP Partner Innovation Lifecycle Services. “These recertifications highlight the company’s mature operating model and commitment to the high standards we expect globally, ensuring clients running SAP environments can rely on consistent, secure, and efficient operations.”

CGI’s global alliance strategy features partnerships with more than 150 technology companies and supports its local relationship model complemented by a global delivery network. Through its SAP alliance, CGI helps organizations accelerate innovation, deploy and manage SAP solutions globally, and deliver industry-specific business outcomes with rapid, scalable, and AI-enabled cloud and ERP services.

About CGI
Founded in 1976, CGI is among the largest independent IT and business consulting services firms in the world. With 94,000 consultants and professionals across the globe, CGI delivers an end-to-end portfolio of capabilities, from strategic IT and business consulting to systems integration, managed IT and business process services and intellectual property solutions. CGI works with clients through a local relationship model complemented by a global delivery network that helps clients digitally transform their organizations and accelerate results. CGI Fiscal 2025 reported revenue is CA$15.91 billion and CGI shares are listed on the TSX (GIB.A) and the NYSE (GIB). Learn more at cgi.com.

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SOURCE CGI Inc.

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Scholastic Corporation Announces Final Results of Modified Dutch Auction Tender Offer

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NEW YORK, April 23, 2026 /PRNewswire/ — Scholastic Corporation (the “Company” or “Scholastic”) (Nasdaq: SCHL), the global children’s publishing, education and media company, today announced the final results of its “modified Dutch Auction” tender offer for shares of its common stock, which expired at 5:00 p.m., New York City time, on April 20, 2026.

Based on the final count by Computershare Trust Company, N.A., the depositary for the tender offer, a total of 2,834,018 shares of Scholastic’s common stock, par value $0.01 per share (each share of Scholastic’s common stock, a “Share,” and collectively, “Shares”), were properly tendered and not properly withdrawn at or below the purchase price of $40.00 per Share, including 989,343 Shares that were tendered by notice of guaranteed delivery.

Scholastic has accepted for purchase a total of 2,834,018 Shares through the tender offer at a price of $40.00 per Share, for an aggregate cost of $113,360,720.00, excluding fees and expenses relating to the tender offer.  The total of 2,834,018 Shares that Scholastic has accepted for purchase represents approximately 13.7% of the total number of Shares outstanding as of April 19,  2026.

J.P. Morgan Securities LLC served as the dealer manager for the tender offer. Georgeson LLC served as the information agent. Holders of common stock who have questions or need information about the tender offer may call Georgeson LLC at (866) 539-9980 (toll free). Banks and brokers may call Georgeson at (866) 539-9980 or J.P. Morgan Securities LLC at (877) 371-5947 (toll free).

About Scholastic 

For more than 100 years, Scholastic Corporation (Nasdaq: SCHL) has been meeting children where they are – at school, at home and in their communities – by creating quality content and experiences, all beginning with literacy. Scholastic delivers stories, characters, and learning moments that empower all kids to become lifelong readers and learners through bestselling children’s books, literacy- and knowledge-building resources for schools including classroom magazines, and award-winning, entertaining children’s media. As the world’s largest publisher and distributor of children’s books through school-based book clubs and book fairs, classroom libraries, school and public libraries, retail, and online, and with a global reach into more than 135 countries, Scholastic encourages the personal and intellectual growth of all children, while nurturing a lifelong relationship with reading, themselves, and the world around them. Learn more at www.scholastic.com.

Forward-Looking Statements

This news release contains certain forward-looking statements. Such forward-looking statements are subject to various risks and uncertainties, including the conditions of the children’s book and educational materials markets generally and acceptance of the Company’s products within those markets, and other risks and factors identified from time to time in the Company’s filings with the Securities and Exchange Commission. Actual results could differ materially from those currently anticipated.

SCHL: Financial

 

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SOURCE Scholastic Corporation

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