Yandex has unveiled a groundbreaking AI-powered solution capable of assessing brain development in infants — marking the world’s first neural network designed specifically for this purpose. Developed by Yandex B2B Tech, the Yandex School of Data Analysis, and St. Petersburg State Pediatric Medical University, the technology automates MRI analysis for babies under 12 months old, reducing evaluation time from several days to just minutes.

The system, freely available on GitHub, is designed for use by hospitals and research institutions worldwide. It holds the potential to transform how clinicians detect cerebral palsy (CP) and other central nervous system disorders, enabling faster diagnosis and more effective rehabilitation planning.

Tackling a Global Pediatric Challenge

Cerebral palsy remains one of the most prevalent causes of childhood disability, affecting roughly 2–3 in every 1,000 live births, according to the World Health Organization (WHO). Early diagnosis is crucial for improving patient outcomes, yet identifying CP in infants under one year has been a longstanding clinical challenge.

MRI scans offer valuable insights into an infant’s brain structure but are notoriously complex to interpret due to the low contrast between gray and white matter — critical tissues that govern cognitive and motor development. While scanning takes 20–40 minutes, image analysis often consumes hours or days of a radiologist’s time, particularly when tracking multiple scans for developmental monitoring.

AI Steps In: How the Neural Network Works

Yandex’s new AI model automates the segmentation and classification of brain tissues in MRI scans, achieving more than 90% accuracy in distinguishing gray and white matter. The tool drastically reduces turnaround time and improves the precision of developmental assessments.

The project was inspired in part by prior global research efforts, such as the 2019 MICCAI Grand Challenge, which focused on infant brain segmentation. However, Yandex researchers faced the same obstacle that stymied earlier attempts — a lack of annotated data.

To overcome this, the team collaborated closely with pediatric radiologists to create new segmentation masks and train the neural network using a combination of machine learning experiments and clinical validation. The result is a purpose-built model optimized for real-world medical use.

"Although many commercial radiology tools exist, none had tackled newborn MRI analysis," said Anna Lemyakina, Head of the Yandex Cloud Center for Technologies and Society. "By combining AI expertise with clinical knowledge, we’ve built a solution that helps radiologists diagnose faster and plan rehabilitation earlier."

Practical Benefits for Global Healthcare

Yandex’s open-source approach means any medical institution or research organization can deploy the tool without licensing restrictions. Its potential benefits include:

• Improved accuracy and objectivity: The model quantifies the ratio of gray-to-white matter, ensuring consistent and data-driven assessments.

• Faster diagnosis: Processing times are reduced from days to minutes, enabling timely intervention for at-risk infants.

• Higher clinical throughput: Automating MRI segmentation allows radiologists to dedicate more time to complex diagnoses and patient consultations.

• Support for junior specialists: The AI can assist less-experienced clinicians in interpreting infant brain scans, enhancing confidence and consistency.

Accelerating Early Detection and Research

By cutting analysis time and boosting diagnostic accuracy, Yandex’s innovation may play a key role in accelerating early cerebral palsy detection and improving global child healthcare outcomes. The solution also supports longitudinal research by standardizing brain development measurements across large datasets.

In an era where AI-driven medicine continues to evolve, Yandex’s open-source contribution underscores the transformative potential of AI in clinical diagnostics — not to replace human expertise, but to enhance precision, speed, and accessibility.

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TransPerfect, the world’s largest provider of language and AI solutions, is adding more hardware to its trophy shelf. The company took home two major honors at China’s Auto Digital Awards, held during the Auto Digitalization & Marketing Innovation Conference (ADMIC) in Shanghai — a marquee event spotlighting digital transformation across the global automotive ecosystem.

The company was recognized as both Annual Automotive Digital Marketing Service Provider and Annual Outstanding Overseas Marketing Services Provider, underscoring its growing influence in the intersection of AI, localization, and global marketing.

Driving Digital Transformation in Automotive Marketing

This year’s ADMIC conference ran under the theme “All-Digital Forward, Counter-Cycle Growth,” attracting global automotive leaders, marketers, and digital innovators eager to navigate a rapidly evolving landscape. The Auto Digital Awards, centered on “Intelligent Digitalization Driving Growth,” honored companies pushing the boundaries of marketing technology and operational innovation.

For TransPerfect, that meant showcasing how its language, data, and AI capabilities power international growth for automotive brands. From data collection and multilingual content creation to AI-enhanced marketing automation, the company’s end-to-end localization technology continues to help automakers scale globally while maintaining local relevance.

The Global Auto Industry’s Digital Reckoning

As the automotive industry braces for tighter margins, sustainability pressures, and shifting consumer expectations, global brands—especially emerging Chinese automakers—are relying heavily on digital marketing to expand internationally. AI-driven personalization and automated localization are quickly becoming non-negotiable tools in this competitive race.

“We’re proud to help our automotive clients deploy digital strategies to expand globally—and we are honored by this recognition,” said Phil Shawe, President and Co-CEO of TransPerfect.

With China emerging as both a manufacturing hub and an innovation powerhouse in connected and electric vehicles, TransPerfect’s dual awards highlight its strategic role in bridging East and West through AI, data, and language intelligence.

The message from Shanghai was clear: in the automotive world, digital fluency and global storytelling are now as critical as horsepower.

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Optimizely, the leading digital experience platform (DXP) provider, is expanding its AI marketing capabilities. The company announced that Optimizely Opal, its agent orchestration platform, now integrates with Google Cloud’s Gemini Enterprise, a unified AI agent platform for discovering, creating, and running intelligent agents.

This integration addresses two persistent challenges for marketers: fragmented customer data and difficulty in delivering personalized campaigns at scale. By combining Opal with Gemini Enterprise, marketing teams can analyze enterprise-wide data, generate actionable insights, and even automate campaign execution.

Unleashing Agent-to-Agent Marketing Intelligence

Opal’s Agent2Agent (A2A) capabilities allow AI agents to collaborate seamlessly across systems. Marketers can now design workflows where agents gather, analyze, and act on customer data in real time. This approach eliminates manual data handling and accelerates campaign execution.

Powered by Google’s Gemini models, Opal delivers advanced reasoning over text and visual data. The integration enables sophisticated analysis of large datasets from multiple sources, offering insights that drive smarter and faster marketing decisions.

"We're entering an era where marketing teams need orchestrated intelligence that adapts, learns, and executes across workflows," said Jessica Dannemann, Chief Partner Officer at Optimizely. "Opal in the Google Cloud Marketplace makes AI marketing capabilities accessible and scalable for businesses."

Breaking Down Data Silos

Gemini Enterprise provides a network of third-party agents and integrations that unify data from dozens of enterprise systems. By connecting Opal to this ecosystem, marketers gain a holistic view of customers, enabling campaigns informed by complete, accurate, and real-time data.

This integration simplifies workflows, allowing teams to automate complex tasks such as industry research, content personalization, and performance monitoring. Agents operate continuously, providing insights overnight and ensuring marketers start their day with actionable intelligence.

Agent2Agent Interoperability Architecture

The A2A architecture enables real-time collaboration between AI systems. Agents can interact, share insights, and coordinate actions, removing the need for manual intervention. The architecture is host-agnostic, supporting diverse agent types and deployment models, which ensures flexibility for enterprise environments.

This innovation transforms Opal from a data analyzer into a fully orchestrated AI marketing assistant, capable of managing campaigns from insight generation to execution.

Driving Smarter, Faster Marketing

The integration empowers marketing teams to:

• Automate campaign execution: Agents can trigger personalized campaigns based on customer behavior and data insights.

• Enhance personalization at scale: Real-time analysis across multiple systems improves targeting and relevance.

• Accelerate decision-making: Continuous agent collaboration provides ready-to-use insights each morning.

• Unify marketing data: Eliminate silos and ensure consistency across global enterprise systems.

"Bringing Optimizely's agent to Google Cloud provides customers powerful new tools to advance digital transformation," said Dai Vu, Managing Director, Marketplace & ISV GTM Programs at Google Cloud. "The integration helps marketers break down data silos and innovate faster."

The Bigger Picture

With Opal’s July debut in the Google Cloud Marketplace, this deepened integration signals a growing trend: AI-driven orchestration is becoming central to marketing operations. Enterprises that adopt these agent-to-agent systems can not only optimize workflows but also create more intelligent, adaptive, and personalized campaigns.

By combining Optimizely’s AI expertise with Gemini Enterprise’s unified data capabilities, the partnership enables marketing teams to operate at a scale and speed previously unattainable, transforming data into actionable insights and measurable results.

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DoubleVerify (DV), the leading ad verification and media quality platform, today announced the expansion of its post-bid brand suitability measurement to Meta Threads feed. This move allows global advertisers to monitor content and context around their ads with AI-powered precision, ensuring campaigns maintain brand safety while reaching engaged audiences.

Ensuring Brand Safety in Emerging Platforms

Meta Threads is a dynamic, conversation-driven platform offering advertisers a chance to connect with highly engaged communities. However, its fast-moving feed presents challenges for brand safety. DV’s expansion provides independent, third-party verification, giving brands the confidence that their ads appear beside suitable and contextually relevant content.

"As advertising evolves across platforms like Threads, independent verification is critical to building trust and driving performance," said Mark Zagorski, CEO of DoubleVerify. "This expansion ensures brands have transparency and actionable insights to maximize campaign impact."

AI-Powered Brand Suitability

DV leverages its proprietary Universal Content Intelligence™ engine to analyze content across video, image, audio, speech, and text. Key features include:

• Proprietary AI Technology: Classification algorithms verify suitability at scale by examining content directly above and below ads.

• Comprehensive Coverage: Brand suitability measurement now spans Threads, Instagram, Facebook, and Audience Network.

• Accurate Media Insights: Real-time analysis provides actionable insights through DV Pinnacle®, DV’s unified analytics platform.

The platform’s key frame extraction technology pinpoints the most relevant video moments, reducing computing power and environmental impact while improving classification accuracy.

Maximizing Campaign Effectiveness

Advertisers using DV on Threads gain a holistic view of media quality, which helps safeguard brand equity, maximize contextual relevance, and reduce wasted ad spend. This integration forms a part of DV’s Media AdVantage Platform, which combines media verification, ad performance optimization, and campaign outcomes measurement.

Threads campaigns can now be monitored for brand suitability globally, with fraud detection and viewability measurement expected to follow. This expansion underscores DV’s commitment to providing advertisers with independent tools to navigate fast-growing social platforms without compromising scale or performance.

Why This Matters

The addition of Threads feed to DV’s brand suitability coverage comes at a time when advertisers are increasingly adopting conversational and real-time social platforms. By offering AI-driven verification, DoubleVerify helps brands:

• Ensure ads appear in safe and relevant environments.

• Reduce wasted spend caused by poor ad placements.

• Gain actionable insights for campaign optimization.

• Maintain global media quality standards across multiple social platforms.

In short, brands can confidently engage audiences on Threads while protecting their reputation and optimizing return on ad spend.

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FiscalNote Holdings, Inc. (NYSE: NOTE), a leader in AI-driven policy and regulatory intelligence, has introduced Bill Comparison in its PolicyNote platform. This new feature allows users to instantly compare legislative texts, track changes across versions, and identify critical differences that shape policy outcomes.

Even minor amendments can alter funding priorities, regulatory intent, or entire policy directions. Traditionally, spotting these nuances required labor-intensive, line-by-line analysis. Bill Comparison automates this process, providing a clear, streamlined view of changes between bill versions.

Instant Legislative Insights

PolicyNote users can now:

• Compare versions in seconds: Highlight additions, deletions, and modifications across bills.

• Track policy evolution: Understand how language, priorities, and funding references change over time.

• Use built-in search: Locate specific terms or provisions across multiple documents simultaneously.

The interface includes a redline view, making differences easy to spot, and allows professionals to quickly generate actionable insights for stakeholder briefings, regulatory reviews, or strategy sessions.

AI-Enhanced Policy Analysis

Bill Comparison integrates seamlessly with PolicyNote’s other AI features, including Similar Bills and Related Bills, which identify language reuse, policy trends, and cross-jurisdictional patterns. Users can also leverage the AI Assistant to generate plain-language summaries of differences or ask targeted questions, such as:

• “Which provisions were added in the latest version?”

• “How has funding changed between bills?”

These capabilities save hours of manual review and help policy professionals make strategic decisions faster.

Driving Efficiency for Policy Professionals

"Policy professionals are constantly pressed to understand how legislation is changing, and what it means, in real time," said Josh Resnik, CEO & President of FiscalNote. "Bill Comparison gives immediate visibility into what’s been added, removed, or changed, accelerating decision-making and providing a critical edge."

The feature supports tracking at all levels of government, from state amendments to complex federal legislation, ensuring that policy teams never miss important insights.

Implications for Legislative Monitoring

With Bill Comparison, FiscalNote strengthens its position as a market-leading AI platform for policy intelligence. By combining trusted data, expert curation, and AI-powered analysis, users can monitor legislative progress more effectively, spot trends, and respond to changes with confidence.

This launch represents FiscalNote’s ongoing commitment to delivering high-impact, AI-driven tools that transform policy monitoring, legislative analysis, and decision-making workflows for government affairs, compliance, and strategic planning teams worldwide.

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Recurly, the leading subscription growth platform, today unveiled its Fall Release, bringing AI-powered insights and tools designed to help brands grow, retain, and scale subscribers in the expanding subscription economy. Central to the update is Recurly Compass, an agentic AI subscription strategist that transforms complex subscriber data into actionable growth strategies.

With consumer demand for flexibility, speed, and value on the rise, Recurly positions itself as the industry’s first full subscription growth engine, providing brands with the intelligence and capabilities to drive revenue and maximize subscriber lifetime value.

AI That Executes, Not Just Advises

Recurly Compass is powered by over 15 years of proprietary subscription data. Beyond dashboards, it helps brands anticipate subscriber behavior, identify revenue opportunities, and execute growth strategies in real time.

The Compass Assistant acts as a decision engine that generates API snippets, adjusts pricing, triggers retention flows, and detects anomalies like payment fraud—all via natural language commands. Its AI-driven insights allow teams to act faster and reduce involuntary churn before it impacts revenue.

"Product innovation is about breaking barriers to growth," said Priya Lakshminarayanan, Chief Product Officer at Recurly. "Recurly Compass transforms billions of data points into personalized, prescriptive intelligence."

Retention Strategies That Deliver

The release includes tools to retain subscribers long-term with tailored cancellation flows, tiered discounts, and the new custom “Build-a-Box” feature for eCommerce merchants. These solutions unify subscriber engagement, eliminating silos and maximizing monetization across the customer lifecycle.

Retention-focused capabilities now allow businesses to win back at-risk subscribers and engage them proactively, ensuring sustainable growth while reducing churn-related losses.

Global Payments Made Simple

Expanding internationally is easier with Recurly’s updated payment ecosystem. The platform now supports over 140 payment methods and local gateways, including Pix, MercadoPago, SEPA, ACH, and new options like Fiserv CommerceHub and Adyen Web Components.

This global flexibility enables businesses to process payments seamlessly, acquire subscribers worldwide, and recover more revenue, no matter the market.

"This release isn’t about more features—it’s about outcomes," said Lina Tonk, Chief Marketing Officer at Recurly. "We help brands retain subscribers, expand globally, and drive measurable growth at scale."

Driving the Next Era of Subscription Growth

Recurly’s Fall Release positions brands to capitalize on the booming subscription economy with tools that combine AI-driven insights, seamless execution, and global payment infrastructure. By unifying data and empowering teams to act in real time, Recurly enables businesses to move faster, optimize revenue, and stay ahead of the competition.

With Recurly Compass as a co-pilot, subscription businesses can transform complex data into actionable strategies, turning every stage of the subscriber journey into a growth opportunity.

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Generative AI is redefining how businesses approach marketing, making advanced strategies accessible to companies of all sizes. Today’s Marketplace (TMP) recently hosted a conversation with Joe Davy, CEO of Banzai (NASDAQ: BNZI), and Dr. Tim McMahon, Associate Professor of Practice at Creighton University, at the New York Stock Exchange to explore this transformation.

The discussion highlighted how AI tools can empower small businesses that traditionally lack budgets for sophisticated marketing solutions.

Small Businesses Gain Big Advantages

Dr. McMahon noted that understanding the consumer journey—awareness, comprehension, and purchase—is critical but challenging for smaller firms. Generative AI, trained on large language models, allows businesses to gather reliable, actionable insights quickly and affordably.

"Where this really works is for small companies that haven’t had the budgets of the bigger operations to leverage sophisticated marketing tools," he explained. AI provides the data intelligence these companies need to compete effectively.

Efficiency and Accuracy at Scale

Joe Davy agreed, emphasizing that generative AI benefits larger companies too, helping them streamline workflows while improving data analytics accuracy.

"Smaller businesses are gaining access to capabilities they never had before," Davy said. "Larger firms face similar challenges on a bigger scale. AI helps both become more efficient and data-driven."

A $400 Billion Market in Transformation

Davy highlighted the rapid growth of AI in marketing, noting its impact on the $400 billion marketing technology market. The technology is accelerating the adoption of intelligent, automated marketing solutions across industries.

"Every company in the world will be impacted by this change," he added. "Dr. McMahon brings an incredible depth of experience to this transformation through his professional and academic work."

Generative AI: The Equalizer

The conversation underscores how AI tools are leveling the playing field, giving small businesses access to the insights and efficiency once reserved for large enterprises. From automating customer research to refining marketing campaigns, AI enables brands to act faster, make better decisions, and optimize spending.

TMP’s discussion with Davy and McMahon emphasizes that the future of marketing will be AI-driven, and companies that embrace these tools early can gain a significant competitive advantage.

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IBM is doubling down on enterprise transformation. The tech giant today announced it has signed a definitive agreement to acquire Cognitus, a Dallas-based SAP S/4HANA services provider known for its AI-driven, industry-specific solutions. The deal—financial terms undisclosed—bolsters IBM’s consulting and software arsenal as it continues its aggressive push into the SAP ecosystem.

A Strategic SAP Play

For IBM, the move is more than an expansion—it’s a calculated deepening of its SAP bench strength. Cognitus brings over 20 years of SAP implementation expertise, particularly around RISE and GROW with SAP, two cornerstone programs of SAP’s cloud transformation agenda.

Founded in 2002, Cognitus has carved out a reputation as an SAP Gold & Co-innovation Partner, known for building customized, data-driven solutions that help large enterprises modernize and maintain mission-critical systems. Its portfolio of proprietary tools—each SAP-endorsed—includes:

• CIS-GovCon, an end-to-end government contracting suite

• CLM, an AI-powered contract lifecycle management tool for contractors

• Data Migration, a low-code solution for moving data from legacy systems to SAP S/4HANA

• Real-Time Billing, designed for high-volume, project-based billing efficiency

Together, these assets fit squarely within IBM’s asset-based consulting model, which blends software, services, and industry know-how to accelerate digital transformation.

Why It Matters

The acquisition arrives at a pivotal time for enterprise IT. As businesses shift from legacy systems to cloud-first architectures, SAP remains the backbone of digital operations for many global organizations. IBM’s ability to infuse AI—through its Consulting Advantage platform—into these transformations is a clear differentiator.

“Clients are turning to trusted partners that know their industries inside and out,” said Neil Dhar, Managing Partner, IBM Consulting Americas. “Cognitus brings deep industry expertise and proprietary AI technology that improves SAP implementations and extends the functionality of tools across our SAP portfolio.”

With Cognitus onboard, IBM not only gains specialized software assets but also access to a skilled global team versed in complex, regulated industries like government contracting—a sector that prizes compliance and data integrity.

Broader Implications

IBM’s latest move reflects a broader trend in enterprise tech: the fusion of AI with ERP modernization. Rivals like Accenture and Deloitte have also expanded their SAP practices with AI-led automation and migration accelerators. IBM’s Cognitus buy signals its intention to stay competitive—and perhaps even outpace peers—in delivering faster, lower-risk, and more intelligent SAP transformations.

“Becoming part of IBM enables Cognitus to amplify what we do best—accelerating SAP transformation through innovation,” said Pat Sathi, CEO of Cognitus. “Our clients will continue to benefit from our proven SAP-Endorsed solutions, now backed by IBM’s global scale and advanced technology.”

The Bigger Picture

Cognitus’ integration adds another layer to IBM’s ongoing investment in strategic partnerships. Alongside collaborations with AWS, Microsoft, Oracle, and Palo Alto Networks, the move reinforces IBM’s position as a multi-cloud and AI transformation powerhouse.

Pending regulatory approval, the acquisition is expected to enhance IBM’s global delivery of SAP solutions, combining Cognitus’ industry precision with IBM’s enterprise reach and AI muscle—a timely alignment as enterprises race toward intelligent, cloud-based operations.

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