Artificial Intelligence News for the Week of August 22, 2025
Solutions Review Executive Editor Tim King curated this list of notable artificial intelligence news for the week of August 22, 2025.
Keeping tabs on all the most relevant artificial intelligence news can be a time-consuming task. As a result, our editorial team aims to provide a summary of the top headlines from the last week in this space. Solutions Review editors will curate vendor product news, mergers and acquisitions, venture capital funding, talent acquisition, and other noteworthy artificial intelligence news items.
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Artificial Intelligence News for the Week of August 22, 2025
Adobe Acrobat Studio Launches AI-Powered Productivity and Creativity Hub
Adobe has unveiled Acrobat Studio, a new AI-powered platform designed to boost productivity and creativity by simplifying document creation, collaboration, and management. Integrated with generative AI features, Acrobat Studio enables users to automate tedious tasks, generate content, and streamline workflows across enterprise teams.
Read more → https://news.adobe.com/news/2025/08/acrobat-studio-delivers-new-ai-powered-home-for-productivity-creativity
Alation Unveils Conversational AI “Chat with Your Data”
Alation has launched “Chat with Your Data,” an embedded AI tool enabling users to query and interact with enterprise data using natural language. The feature aims to make data discovery and analysis more accessible for non-technical stakeholders and empowers organizations to unlock business value from their cataloged data assets. This latest innovation aligns with industry trends toward user-friendly, AI-powered analytics experiences.
Read more → https://www.alation.com/news-and-press/alation-unveils-chat-with-your-data/
AlphaSense Launches Autonomous AI Agent Interviewer for Real-Time Market Signals
AlphaSense has introduced an autonomous AI Agent Interviewer designed to deliver real-time channel checks and market signals across diverse sectors. The agent generates insightful questions and analyzes responses to provide timely economic intelligence, helping businesses stay ahead in volatile markets. This innovation leverages AI to automate and scale qualitative market research efficiently.
Appian Delivers New Enterprise-Ready AI Features in Latest Release
Appian has rolled out its latest platform release, introducing enterprise-ready AI capabilities including enhanced data fabric integration, process automation, and low-code AI development tools. The update is designed to help organizations streamline complex workflows and drive greater efficiency through intelligent automation.
CodeGlide AI Launches Continuous MCP Server Lifecycle Platform
CodeGlide AI has unveiled the first continuous Model Context Protocol (MCP) Server platform that enables enterprises to remain AI-ready in real time. The solution integrates continuous feedback loops and lifecycle management to optimize AI model performance and governance, helping businesses maintain relevance and trustworthiness in rapidly changing environments.
Crusoe Expands AI Infrastructure with Atero Acquisition, Opens Middle East Office
Crusoe Energy Systems has acquired Atero Analytics to bolster its AI infrastructure offerings and opened its first Middle East office. These moves aim to support expansion of AI computing capacity and accelerate energy-efficient data center operations globally.
Definite Raises $10M to Build AI-Native Data Stack
Definite has raised $10 million in seed funding to develop an AI-native data stack for modern businesses. The company’s platform promises to bring scalable, real-time analytics and data infrastructure optimized for AI-driven operations, targeting enterprises looking to future-proof their technology landscape.
DTEX Launches AI-Powered Risk-Adaptive Data Loss Prevention
DTEX has introduced Risk-Adaptive Data Loss Prevention (DLP), the industry’s first dynamic DLP solution powered by advanced AI and behavioral analytics. Unlike traditional static DLP tools, DTEX’s solution continuously learns from workforce behavior to provide real-time visibility, context, and early detection of insider risks, protecting sensitive data without disrupting business operations. Key features include behavior-based data classification across all data formats, generative AI governance, privacy-first controls, and on-device endpoint classification. The product aims to proactively reduce data loss risk while respecting user privacy.
Read more → https://www.dtexsystems.com/newsroom/press-releases/dtex-launches-risk-adaptive-dlp/
Globant Presents Globant Enterprise AI for Business Transformation
Globant has unveiled Globant Enterprise AI, a digital transformation solution combining advanced AI technologies and industry expertise to help enterprises drive efficiency, innovation, and customer engagement. The platform supports AI-powered analytics, automation, and hyper-personalization across customer journeys, enabling organizations to accelerate innovation and respond to market demands with agility.
Read more → https://finance.yahoo.com/news/globant-presents-globant-enterprise-ai-152900478.html
HoundDogAI Launches Industry-First Privacy-by-Design Code Scanner for AI
HoundDogAI has released a privacy-by-design code scanner tailored for AI applications, helping developers identify and mitigate privacy risks early in the AI development lifecycle. The tool supports enterprises in building secure, compliant AI software while enabling faster delivery.
Lightning AI Launches First Multi-Cloud GPU Marketplace
Lightning AI has launched a unified Multi-Cloud GPU Marketplace, providing AI teams with on-demand and reserved GPU access across leading hyperscalers and emerging NeoCloud platforms. The marketplace eliminates traditional tradeoffs between cost, performance, and flexibility by enabling a single interface for seamless multicloud operations. Customers can scale training, fine-tuning, and inference workloads with zero infrastructure rewrites, using popular orchestration tools like SLURM and Kubernetes.
Oracle Deploys OpenAI GPT-5 Across Database and Cloud Applications
Oracle has rolled out OpenAI’s advanced GPT-5 language model throughout its database portfolio and SaaS application suite, including Oracle Fusion Cloud, NetSuite, and industry-targeted products like Oracle Health. Designed to bring generative and agentic AI into enterprise workflows, GPT-5 will support code generation, debugging, and multi-step reasoning across business processes. Users can access GPT-5 in three sizes via API and through ChatGPT Enterprise, enabling deeper AI-powered insights and automation with trusted business data. Oracle aims to help organizations achieve higher productivity and more complex agent-driven processes, uniting secure enterprise data with sophisticated AI capabilities.
Polestar Analytics Raises $12.5M to Boost AI Platform
Polestar Analytics has raised $12.5 million in funding to advance its AI capabilities and enhance its flagship converged data ecosystem platform. The capital will fuel growth in AI/ML, automation, and analytics features, helping enterprises unify disparate data assets for faster, more actionable insights. The company plans to use these resources to accelerate R&D, expand the platform’s reach, and strengthen its position in the competitive enterprise data software market.
Transcend Expands “Do Not Train” and Deep Deletion for Responsible AI
Transcend is enhancing its data privacy platform with expanded “Do Not Train” and Deep Deletion features, empowering B2B AI companies to comply with evolving privacy regulations. These capabilities help businesses exclude user data from AI model training and ensure comprehensive deletion of data, promoting ethical AI development at scale.
Smartling Launches MCP Server to Automate and Scale Localization
Smartling has introduced its Model Context Protocol (MCP) Server, designed to accelerate and automate enterprise localization workflows. By integrating AI models that understand context and intent, the platform helps organizations scale multilingual content production with higher quality and efficiency, aiming to reduce time to market in global markets.
Treasure Data Earns Industry-First Responsible AI Certification
Treasure Data has received a first-of-its-kind Responsible AI certification from TrustArc. This milestone recognizes Treasure Data’s commitment to transparency, fairness, and regulatory compliance in enterprise AI and customer data platforms, providing clients with increased assurance around ethical AI adoption and usage.
Read more → https://www.martechcube.com/treasure-data-earns-industry-first-cert-for-responsible-ai-by-trustarc/
Expert Insights
Watch this space each week as our editors will share upcoming events, new thought leadership, and the best resources from Insight Jam, Solutions Review’s enterprise tech community where the human conversation around AI is happening. The goal? To help you gain a forward-thinking analysis and remain on-trend through expert advice, best practices, predictions, and vendor-neutral software evaluation tools.
What to Expect at Solutions Review‘s Spotlight with SoftwareOne on September 10: How to Use Copilot Agents
Generative AI has evolved from a tool we harness for productivity to a true collaborator. With Copilot Agents, AI works alongside us to boost creativity, streamline workflows, and provide real-time coaching—becoming a valuable teammate and ushering in the next era of AI-driven productivity.
What to Expect at Solutions Review‘s Industry Trends Session with Denodo on September 16: AI Deep Research
We’ll explore the kinds of questions Deep Research can tackle: Why is customer churn rising in a specific region? How will new regulations impact our supply chain? What is the optimal strategy for entering a new market? These are the complex, open-ended questions that go far beyond dashboards and canned reports, questions that require reasoning, synthesis, and real-time, trusted data.
Editorial: The Rise of the AI Power User by G2’s VP of Research Insights Tim Sanders
According to G2’s 2025 Buyer Behavior Report, 50 percent of enterprise software buyers switched vendors last year in pursuit of better AI capabilities. And more than 60 percent now prefer AI-native platforms over building in-house tools. Why? Because speed, usability, and trust matter more than ever—and these platforms deliver.
New Episode of Insight AI with Doug Shannon – GPT 5: The Last Foundational Model
They explore how we’re witnessing a seismic shift from basic pattern-matching AI to world models that can actually think contextually, and why this spells trouble for entire industries built on human expertise. The conversation gets wonderfully nerdy as they dissect everything from “truth-shaping power” in search results to why your personal brand might be your only lifeline in an agent-dominated future. If you’re curious about where AI is really headed, this episode delivers the insights without the hype.
New Episode of The Digital Analyst with John Santaferraro Featuring Tony Baer: What is the AI Data Stack?
John and talks with Tony Baer to break down the evolution from the “modern data stack” to the revolutionary “AI data stack” that’s reshaping enterprise data architecture. This isn’t just another tech trend; it’s the fundamental shift that will determine which organizations thrive in the age of generative AI and agentic systems. Discover why your current data infrastructure might already be obsolete and what cutting-edge protocols like MCP and A2A mean for the future of AI-driven enterprises.
On-Demand Jam Session Featuring Bob Eve: As AI Accelerates, How Analytics are Keeping Pace
From boardrooms to back offices, AI is dominating corporate mindshare and spending. Unfortunately, these investments can crowd out worthwhile efforts in other high ROI domains. For example, at some organizations, Analytics investments are being sacrificed at the altar of AI. Fortunately, AI and Analytics need not be an either-or decision. Today’s analytics platforms not only leverage AI inside, but the insights they provide can actually multiply your return on other AI investments.
SR Thought Leaders: 85 Percent of Data & AI Projects Fail by Samir Sharma
He has 20 years of international experience in the UK, Europe, Africa, USA, all gained from consulting and strategy roles across a variety of sectors – Aerospace & Defence, Government, High End Luxury Retail, Postal, Telecoms. Prior to datazuum, Samir led the decision sciences team for a large organization where he delivered strategic data driven Business Intelligence & Analytics solutions across all sectors.
SR Thought Leaders: The Tricky Discipline of Governing Agentic AI: Policies, Rules & Standards by Kevin Petrie
Behind each headline lies a failure of governance. As companies race to deploy AI, they exacerbate data governance risks such as accuracy, privacy, bias, intellectual property, and regulatory compliance. AI models and agents add new risks as well: black-box logic, toxic outputs, misguided decisions, damaging actions, and even subversive intentions. Organizations that manage the risks poorly often experience a blowup.
SR Thought Leaders: Why Do We Need a Simple Data Governance Framework by Nicola Askham
Data Governance can be a complex field to work in and on a regular basis, it seems like there is always some sort of new barrier to overcome, whether you’re a newcomer to the field or a veteran. Yet one thing I bet most Data Governance practitioners will have in common is the understanding that when it comes to being successful with your framework, simplicity is the way forward. And I can vouch for this too.
For consideration in future artificial intelligence news roundups, send your announcements to the editor: tking@solutionsreview.com.
Tim King
Executive Editor
Tim is Solutions Review's Executive Editor and leads coverage on data management and analytics. A 2017 and 2018 Most Influential Business Journalist and 2021 "Who's Who" in Data Management, Tim is a recognized industry thought leader and changemaker. Story? Reach him via email at tking@solutionsreview dot com.
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