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Artificial Intelligence News for the Week of September 5; Updates from DeepL, Denodo, Snowflake & More

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Solutions Review Executive Editor Tim King curated this list of notable artificial intelligence news for the week of September 5, 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.

For early access to all the expert insights published on Solutions Review, join Insight Jam, a community dedicated to enabling the human conversation on AI.

Artificial Intelligence News for the Week of September 5, 2025


Apiiro Study: AI Coding Assistants Boost Velocity but Multiply Vulnerabilities

A new research blog from Apiiro shows that while AI coding assistants increase engineering velocity by up to 4x, they also introduce tenfold more vulnerabilities in code. Organizations are urged to invest in code review automation, secure coding training, and risk mitigation strategies to close the expanding security gap.

Read more → https://apiiro.com/blog/4x-velocity-10x-vulnerabilities-ai-coding-assistants-are-shipping-more-risks/

Cisco and NVIDIA Expand Secure AI Factory to Accelerate Agentic AI for Enterprises

Cisco, in collaboration with NVIDIA and VAST Data, has announced an expanded Secure AI Factory designed to make enterprise data more accessible, secure, and actionable for agentic AI. The solution leverages the VAST Data InsightEngine, NVIDIA AI Data Platform reference design, and Cisco AI PODs with NVIDIA RTX PRO 6000 Blackwell Server GPUs to drastically reduce latency in retrieval-augmented generation (RAG) pipelines—from minutes to seconds.

Read more → https://www.channele2e.com/news/cisco-secure-ai-factory-with-nvidia-unlocks-enterprise-data-for-agentic-ai

Concentric AI Integrates with OpenAI ChatGPT for Smart Data Security

Concentric AI is now integrating with OpenAI’s ChatGPT to deliver intelligent context-aware data protection capabilities. This partnership enables enterprises to leverage advanced NLP-driven suggestions for sensitive data classification, automated policy enforcement, and proactive risk management in cloud and SaaS environments.

Read more → https://concentric.ai/press-release/concentric-ai-announces-integration-with-openais-chatgpt/

DeepL Unveils Autonomous AI Agent for Business

DeepL has announced its new autonomous AI agent for business applications, offering advanced natural language understanding, translation, and information retrieval. The agent is designed to support customer service, content generation, and multilingual communications for global enterprises.

Read more → https://www.prnewswire.com/news-releases/deepl-unveils-autonomous-ai-agent-for-businesses-302543914.html

DE-CIX Launches World’s First Fully Integrated AI Internet Exchange

DE-CIX has introduced the world’s first AI-integrated Internet Exchange (AI-IX), enabling efficient cross-network connectivity for model training and AI inference. The platform unifies edge, cloud, and analytics traffic to boost throughput, reduce latency, and accelerate enterprise AI adoption.

Read more → https://www.de-cix.net/en/about-de-cix/media/press-releases/de-cix-launches-worlds-first-fully-integrated-ai-internet-exchange-ai-ix-to-support-model-training-and-inference

FICO & Corinium Study: Responsible AI Standards Surpass GenAI Hype for Finance

FICO and Corinium’s latest study finds that global financial institutions are moving beyond GenAI hype, prioritizing responsible AI standards to ensure trust, compliance, and value. Leaders now favor transparency, ethical model development, and rigorous governance to sustain adoption and minimize risk.

Read more → https://www.fico.com/en/newsroom/new-fico-and-corinium-study-reveals-global-financial-institutions-abandon-genai-hype-responsible-ai-standards

Geniez AI Raises $6M Seed Round for AI-Driven Process Automation

Geniez AI, a startup developing automation solutions powered by generative AI, has raised $6 million in seed funding. The capital will be used to advance Geniez’s AI agent platform for automating complex business processes and workflows, focusing on enterprise adoption and rapid go-to-market acceleration.

Read more → https://www.finsmes.com/2025/09/geniez-ai-raises-6m-in-seed-funding.html

Google Cloud Report: 52% of Executives Have Deployed AI Agents for Business Value

A Google Cloud study finds that 52 percent of global executives have already deployed AI agents in their organizations—unlocking significant new business value in customer engagement, productivity, and automation. The survey highlights a growing wave of adoption as leaders recognize agentic AI’s potential to drive competitive transformation.

Read more → https://www.bigdatawire.com/this-just-in/google-cloud-52-of-executives-say-their-organizations-have-deployed-ai-agents-unlocking-a-new-wave-of-business-value/

Gravity Launches Orion Multi-Agent AI for Enterprise Decision Intelligence

Gravity unveiled Orion, a multi-agent AI platform to transform enterprise decision intelligence. Orion uses coordinated AI agents to autonomously collect, enrich, and analyze data across business units, empowering executives with actionable insights for complex decision-making. The platform marks a new milestone in scalable, agent-driven enterprise analytics.

Read more → https://www.prnewswire.com/news-releases/gravity-launches-orion-to-redefine-enterprise-decision-intelligence-with-multi-agent-ai-302543112.html?tc=eml_cleartime

Laserfiche AI Workplace Survey Finds Automation Boosts Retention, Productivity

Laserfiche’s “AI Workplace Survey 2025” highlights that organizations implementing AI-driven automation report significant gains in employee retention and productivity. However, survey respondents emphasize the need for upskilling, change management, and clearer strategies to avoid AI change fatigue. Leaders are encouraged to balance automation with proactive workforce development practices.

Read more → https://www.laserfiche.com/resources/press-center/press/ai-workplace-survey-2025/

Pearson and Cognizant Announce Strategic Partnership for AI-Era Learning

Pearson and Cognizant have formed a global partnership to create new learning and workforce development programs supporting early career growth in the age of AI. The collaboration combines educational technology, professional services, and enterprise AI expertise to deliver career-ready content and improve access to high-demand digital skills.

Read more → https://news.cognizant.com/2025-09-02-Pearson-and-Cognizant-Announce-Global-Strategic-Partnership-to-Enhance-Learning

Qlik Achieves AWS Generative AI Competency

Qlik has attained AWS Generative AI Competency, affirming its excellence in deploying generative AI solutions within the AWS ecosystem. This milestone validates Qlik’s ability to empower customers with scalable generative analytics, AI-driven automation, and secure cloud data integrations.

Read more → https://www.qlik.com/us/news/company/press-room/press-releases/qlik-achieves-aws-generative-ai-competency

Redis Acquires Decodable to Expand Real-Time Context and Memory for AI Agents

Redis has announced the acquisition of real-time data platform Decodable. The move expands Redis’ capabilities for AI, bringing streaming context and memory solutions for agentic AI systems—including advanced retrieval, embedding, and real-time data enrichment. The integration positions Redis as a foundational component for next-generation, memory-enabled enterprise AI.

Read more → https://www.globenewswire.com/news-release/2025/09/04/3144606/0/en/Redis-to-Acquire-Real-Time-Data-Platform-Decodable-Expands-Redis-for-AI-to-Deliver-Context-and-Memory-for-AI-Agents-and-Agentic-Systems.html

WisdomAI Unleashes Autonomous AI Data Analyst

WisdomAI has launched its AI-powered data analyst, enabling businesses to automate complex analytics tasks, including report generation, trend analysis, and on-demand insights. The agent simplifies data exploration for non-technical users and speeds up the business intelligence lifecycle.

Read more → https://www.enterprisetimes.co.uk/2025/09/04/wisdomai-unleashes-its-ai-data-analyst/

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.

Register on LinkedIn

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.

Register on LinkedIn

New Episode of The Cyber Circuit with Michael Morgenstern: The AI Revolution Needs Better Asset Management

From shadow AI implementations draining sensitive data to why “we went too fast with cloud and we’re doing it again,” discover why the organizations that can’t answer “what assets do we have?” are the ones AI will hurt most. Parker reveals why AI represents the fourth industrial revolution and what security leaders must do now before regulatory hammers drop.

Watch on YouTube

SR Thought Leaders: Agentic AI Governance: 4 Criteria to Evaluate Tools by Kevin Petrie

As companies mature, they are taking a more sober view of the opportunity that agentic AI  represents. In fact, only 27 percent of executives say they would trust fully autonomous agents for enterprise use, down from 43 percent one year ago, according to a recent Capgemini survey. They recognize the need to manage risks before reaping the innovation benefits of agentic AI. This requires a robust governance program, supported by effective technology.

Read on Solutions Review

Editorial: Soft Skills Crisis? Why Gen Z Struggles – and How Leaders Can Help by Dr. Laurie Cure

Soft skills have always played a quiet but powerful role in workplace success. After all, these are the often invisible qualities that allow people to collaborate, resolve issues, and lead with confidence — often the most essential elements for leadership success.

Read on Solutions Review

Editorial: The Evolution of Enterprise Data Archives in the AI Era by Archive360’s George Tziahanas

For decades, enterprise data archives have occupied an understated position within organizational IT infrastructure. These vast repositories of information were treated as necessary for meeting legal and regulatory obligations, but only modestly accessed once data was safely stored away. The prevailing approach was simple: keep costs low, ensure compliance, and preserve the data until a court order or regulatory investigation demanded its retrieval.

Read on Solutions Review

Editorial: Why Data Quality is the Make-or-Break Factor for AI Success by Semarchy’s Craig Gravina

According to a recent survey of 1,050 senior business leaders across the US, UK, and France, only 46 percent express confidence in the quality of their data. This lack of trust in data quality represents the Achilles’ heel of many promising AI strategies, underscoring a critical truth: without trustworthy data, even the most sophisticated AI initiatives risk falling short of their potential.

Read on Solutions Review

For consideration in future artificial intelligence news roundups, send your announcements to the editor: tking@solutionsreview.com.



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Artificial Intelligence Consultant Ashley Gross Shares Details on Pittsboro Commissioner Candidacy

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Among the eight candidates looking to connect with voters in Pittsboro this fall is Ashley Gross, an artificial intelligence advocate, consultant and course creator.

Gross filed to run for the town government’s Board of Commissioners in July, joining a crowded race to replace the outgoing Pamela Baldwin and James Vose. A resident of the Vineyards neighborhood of Chatham Park, she works as a keynote speaker and consultant for businesses looking to learn more about AI practices in the emerging technology space, leading her own consulting company and working as the CEO of the organization AI Workforce Alliance.

In an email with Chapelboro, Gross described herself as “a mom who loves this little corner of the world we call home” and committed to the area. When describing her motivation to run — in which she incorrectly stated she was running for a county commissioner seat — she said helping the greater Pittsboro community feel connected and supported with a variety of resources is key amid the town’s ongoing growth.

“I see the push and pull between people who have called Chatham home for generations and those who are just discovering it,” Gross said. “I believe that our differences are not barriers. They are opportunities to learn from each other. My strength is sitting down with people, even when we disagree, and finding the common ground we share. I am a researcher and an experimenter by nature, and I have seen that the most successful communities are built when people come together around shared interests and goals. That is the kind of leadership I want to bring, one that unites us instead of dividing us.”

Gross cited uplifting small businesses to help maintain the local economy as a key priority, as well as public safety and investments into local infrastructure.

“Safe roads, modern emergency response systems, and preparation for the weather risks we face mean families can feel secure no matter what comes our way,” she said. “And as we grow, I will focus on smart development that keeps our small town character intact while building the infrastructure we need for the future.”

Other priorities the Pittsboro resident listed as having strong local schools, improving partnerships with local colleges and expanding reliable internet to each home and business — all issues that fall more under the purview of the Chatham County government more than the town government.

When describing what she is looking forward to during her campaign for Pittsboro’s Board of Commissioners, Gross wrote that she wants to hear directly from residents about their “concerns, hopes and ideas” while listening and using “data and common sense” to inform her policy decisions.

“Every choice I make,” Gross wrote, “will be guided by a simple question: will this keep our families safe, connected, and thriving? At the end of the day, I am just a mom who believes Chatham is at its best when we work as one community, where families stay close, opportunities grow here, and every neighbor feels they belong.”

Gross will be on the ballot along with Freda Alston, Alex M. Brinker, Corey Forrest, Candace Hunziker, Tobais Palmer, Nikkolas Shramek and Tiana Thurber. The top two commissioner candidates to receive votes will serve four-year terms on the five-seat town board alongside Pittsboro Mayor Kyle Shipp — who is running unopposed for re-election.

Election Day for the 2025 fall cycle will be Tuesday, Nov. 4, with early voting in Chatham County’s municipal elections beginning on Thursday, Oct. 10.

 

Featured image via Ashley Gross.


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Google AI Model Uses Virtual Satellite to Map Earth

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Google DeepMind introduced a new artificial intelligence model that captures the vivid details of the Earth’s surface, which helps scientists and governments make better decisions about the land and sea.

Called AlphaEarth Foundations, the geospatial AI model pulls together satellite images and other environmental data to create a single picture of the planet, according to a blog post.

Satellites orbiting Earth collect large amounts of information every day. While this data is valuable, it’s often stored in many different formats and comes from different times and sensors, making it hard to combine.

AlphaEarth Foundations acts like a “virtual satellite” that can merge all this information into one consistent view, the post said.

For example, the model can see through persistent clouds in Ecuador to map agricultural plots in various stages of development, according to the post. It can also map the surface of Antarctica, normally a tough place to image.

The AI model can spot changes in land use, such as new construction, deforestation or crop growth, in 10-meter squares, per the post. It also stores the information much more efficiently, using 16 times less space than comparable AI systems.

To make it available to the public, Google is releasing yearly snapshots from 2017 through 2024 in a new Satellite Embedding dataset within Google Earth Engine. This dataset contains more than 1.4 trillion data points each year and is ready to use without extra processing work, the post said.

Over 50 organizations have already tested the system, including the United Nations’ Food and Agriculture Organization, Stanford University, Oregon State University and others, according to the post.

For example, the Global Ecosystems Atlas, an initiative that aims to comprehensively map and monitor the world’s ecosystems, is using AlphaEarth Foundations to help countries classify unmapped ecosystems into categories such as coastal shrublands, per the post. In Brazil, environmental mapping group MapBiomas is using the tool to track farmland and forest changes.

However, even though the model is a “cutting-edge technological breakthrough” in Earth mapping, it is dependent on high-quality satellite data, according to a GoGeomatics Canada blog post.

“While it is known for effectively filling gaps in missing or incomplete data, interpreting poor-quality inputs in critical situations can lead to misdirection,” the post said.

Read also: T-Mobile and SpaceX to Test Satellite-to-Cell Service

How AlphaEarth Foundations Works

AlphaEarth Foundations combines information from many different satellite and environmental sources into one clear, consistent picture of Earth. It works a bit like stitching together thousands of puzzle pieces into a single image, except the puzzle pieces come from different satellites, sensors and even time periods.

The system takes in a variety of public data, including the following:

  • Optical satellite photos, like those available on Google Earth
  • Radar scans that can penetrate cloud cover
  • 3D laser mapping
  • Climate and environmental readings, such as temperature and rainfall
  • Elevation maps and gravity measurements
  • Descriptive information linked to locations

It treats the images from the same location over time like frames in a video. This lets itunderstand” changes through the seasons or from one year to the next, like crops being planted and harvested, forests being cleared or cities expanding, the Deepmind blog post said.

AlphaEarth Foundations then condenses all this into what Google called a “64-dimensional representation” for each 10-meter square, whether land or coastal water.

Consider that 3D only provides latitude, longitude and elevation; 64 dimensions provide richer detail, not just location but also appearance, environment and behavior over time.

“What is interesting is that they’re able to get down to 10-by-10 meter squares, which is phenomenal,” Christopher Seeger, professor and extension specialist of landscape architecture and geospatial technology at Iowa State University, told The Register. “It’s going to be great for decision makers.”

“This breakthrough enables scientists to do something that was impossible until now: create detailed, consistent maps of our world, on demand,” the DeepMind blog post said. “…[T]hey no longer have to rely on a single satellite passing overhead. They now have a new kind of foundation for geospatial data.”

The system can be used for many purposes, including monitoring wildfires, tracking water levels in reservoirs and spotting urban growth. It can also help create detailed maps with fewer samples, saving time and resources.

Google plans to explore combining AlphaEarth Foundations with its Gemini multimodal model to expand the system’s capabilities further.

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Artificial intelligence to make professional sports debut as Oakland Ballers manager – CBS News

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Artificial intelligence to make professional sports debut as Oakland Ballers manager  CBS News



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