Artificial Intelligence News for the Week of June 20; Updates from Campfire, Databricks, Precisely & More
Solutions Review Executive Editor Tim King curated this list of notable artificial intelligence news for the week of July 4, 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 July 4, 2025
Campfire Raises $35 Million for AI-Driven ERP
The round accelerates the company’s mission to redefine finance for the AI era—fueling deeper product development, major investments in GenAI, and expanded reach to serve more ambitious companies globally.
Databricks Intros New AI Governance Framework
As organizations embrace AI at scale, the need for formal governance grows. Enterprises must align AI development with business goals, meet legal obligations, and account for ethical risks. This framework is designed to support program development, deployment, and continuous improvement.
Datavault AI Joins White House Experience Council
Datavault AI was recently appointed to the White House Experience Advisory Council, a group established by the White House Historical Association to modernize how the Executive Mansion shares and preserves American history. This appointment positions Datavault AI alongside key leaders engaged in preserving and sharing national heritage through innovative technology.
Domo Collaborates with Snowflake on AI Analytics & Cloud Integration
As part of this expansion, Domo’s managed offering, Powered by Snowflake, enables Domo to offer a fully managed, analytics and BI solution. Domo will maintain and operate the Snowflake environment, simplifying deployment, management, and billing for customers—who benefit from seamless access to Domo’s Magic ETL, connectors, dashboards, and low-code apps without managing the infrastructure themselves.
HighByte Unveils Industrial MCP Server
HighByte Intelligence Hub provides the first Industrial MCP Server to expose data pipelines as “tools” to AI agents, including descriptions and parameters. With the Intelligence Hub, AI agents can securely access all connected industrial systems and make real time or historical data requests on them.
IBM Selected by Deutsche Telekom on AI Automation
IBM can help companies accelerate vulnerability protection in their IT systems while boosting operational efficiency. IBM Concert helps companies to reduce operational costs and the effort required for patching vulnerabilities, increasing the speed of response and the efficiency for improving the security of all systems.
Key Takeaways from the Kyndryl AI Readiness Report 2025
Most organizations currently use AI to drive internal efficiencies, with only 21 percent deploying AI for customer-facing products and services. Generative AI is the most common deployment, but just 40 percent of leaders use AI insights for decision-making and growth.
Levelpath Raises $55 Million for Enterprise AI Procurement
Levelpath’s AI agents are embedded directly into the platform, enriched with supplier-centric context and designed to connect insights across processes, according to the release. The AI agents can autonomously handle sourcing event creation, supplier onboarding, risk assessments and other procurement challenges, the release said.
NetApp Drops New AI Space Race Report
When asked what region is best positioned to lead AI innovation in the long term, respondents from every country overwhelmingly pointed to the U.S. (43 percent). However, everyone sees themselves as AI ready, and every region views themselves as competitive in the global AI innovation race.
Precisely Adds New MCP Server to its AI Ecosystem
This launch builds on Precisely’s vision for an open, interoperable AI ecosystem for data integrity where trusted data is foundational. By connecting Precisely’s location and data APIs to leading large language model (LLM) interfaces, including Claude Desktop, an MCP server enables technical and non-technical users alike to develop AI-powered solutions in hours, not weeks.
Qlik Unveils New Trust Score for AI in Talend Cloud
As enterprises accelerate AI adoption, many face a fundamental blind spot: they don’t know if the data feeding their models is trustworthy or fit for purpose. Qlik Trust Score for AI solves that problem with a single, intuitive score that shows teams where trust breaks down. This helps prevent bias, drift, or faulty outcomes from taking hold.
Reltio Launches New MCP Server
Reltio MCP Server enables AI agents to connect directly to your trusted Reltio data and our platform APIs via the Model Context Protocol (MCP). This new capability is core to our agentic data fabric, enabling our platform to serve as a flexible AI-ready backbone for trusted, context-rich data across enterprise workflows.
Thomson Reuters Says: Firms with AI Strategies Double Effective
Globally, survey respondents across industries also predict that professionals using AI will save 5 hours weekly within the next year, up from 4 hours predicted in 2024, unlocking an average of $19,000 in annual value per person, according to our study’s overall findings. In the U.S. alone, this AI-driven efficiency could translate to a $32B combined annual impact for the legal & CPA sectors.
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.
Take the Tech Leader Survey – Spring 2025 Now
In partnership with Skiilify Co-Founder and distinguished Northeastern University Professor Paula Caligiuri, PhD, we’ve just launched our latest enterprise tech leader Survey to uncover how thought leaders are thinking about disruption in this AI moment.
Viral Shopify CEO Manifesto Says AI Now Mandatory for All Employees by Douglas Laney
A confidential memo from Shopify CEO Tobias Lütke has circulated among executive members, generating significant attention due to its important content. The document represents a vivid guide toward proper CEO leadership within AI-terminal societies.
Will We Still See Ourselves in a World Designed by Machines? by Doug Shannon
Humans are innately pre-wired to see faces: it is called pareidolia. Our brains evolved to recognize patterns that hint at life and connection, even when none are truly there. We find faces in clouds, tree bark, the front of cars, and even the brake lights and trunk lids of the ones ahead of us.
An AI Readiness Model Checklist with Recommended Web Tools by Tim King
There is no one-size-fits-all blueprint for artificial intelligence. Every organization has its own legacy systems, workforce culture, regulatory pressures, and innovation appetite. But one thing is universally true: AI success depends on readiness. Not just technical readiness, but ethical, emotional, and operational readiness across the entire enterprise.
Evolving ERP: Ensuring AI Success in Aerospace and Defense Featuring The ERP Doctor Dan Aldridge
Dan sits down with aerospace and defense veteran, Luis Avila from BDO, to reveal the shocking truth: 80 percent of standalone AI projects fail spectacularly. They expose how defense contractors are drowning in outdated systems while missing the AI revolution that’s already transforming their competitors. From CMMC compliance nightmares to supply chain chaos, these industry insiders share battle-tested strategies for surviving the aerospace transformation wars.
Mini Jam Highlights: Building and Deploying AI Agent Systems at Scale
This comprehensive technical discussion reveals the challenges of building reliable, traceable, and scalable agentic AI systems, including the critical role of human feedback loops and the current limitations preventing full AI agent autonomy. Essential viewing for technical leaders architecting AI agent deployments.
Mini Jam Highlights: Why Most AI Agent Implementations Fail (And How to Fix Them)
Our panel of AI implementation experts reveal the biggest challenges facing organizations deploying AI agents, from human resistance to data governance failures. They expose why most AI agent projects fail and provides actionable strategies for successful implementation, covering process analysis, data preparation, and overcoming the human element that derails technology adoption. Essential viewing for leaders planning AI agent deployment in their organizations.
Mini Jam Highlights: How AI Agents Will Transform Business Culture Forever
Our AI industry experts explore how agentic AI will fundamentally reshape business culture, workforce dynamics, and professional roles in the coming years. They discuss the shift from traditional employment to collaborative business partnerships, the rise of new AI-focused roles, and how companies must adapt their culture as AI agents automate routine tasks.
Mini Jam Highlights: Who is Responsible for AI Agent Decisions?
Our cybersecurity experts tackle the critical question of accountability when AI agents make independent security decisions, exploring who bears responsibility for autonomous AI actions in enterprise environments. They discuss the governance frameworks, identity management challenges, and strategic approaches needed to deploy agentic AI in cybersecurity while maintaining clear accountability chains.
Mini Jam Highlights: AI Industry Leaders Share Their Top AI Agent Implementation Tips
Top AI experts share their battle-tested strategies for successfully implementing AI agents in business, from choosing the right use cases to building stakeholder trust. They reveal how to start small with agentic AI while maximizing ROI, ensuring ethical implementation, and creating delightful user experiences that drive real business transformation. Perfect for executives ready to move beyond AI experimentation to strategic deployment.
Mini Jam Highlights: Can AI Agents Ever Replace Human Decision-Making?
Our panel of AI experts debate the critical balance between autonomous AI agents and human oversight, exploring when artificial intelligence can safely operate independently and when human judgment remains essential. They discuss how organizations can strategically implement guardrails and frameworks to maximize AI efficiency while maintaining control over high-stakes decisions.
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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