AI News for the Week of July 31; Updates from Cognizant, Encore AI, groundcover & More
Solutions Review Executive Editor Tim King curated this list of notable artificial intelligence news for the week of July 31, 2026.
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.
AI News for the Week of July 31, 2026
Cloudera Report Finds Data Gaps Slow Healthcare AI Adoption
Cloudera’s latest Data Readiness Index report highlights how data gaps are holding back AI adoption in healthcare, despite strong interest and investment. While many healthcare organizations have visibility into where their data lives, they still struggle with integrating, governing, and operationalizing trusted data at scale, with 28% saying infrastructure performance consistently hinders operational initiatives and many citing governance and cross-environment AI deployment as ongoing pain points.
Read on for more→ Cloudera report finds data gaps slow healthcare AI adoption
Cognizant Launches EMEA AI Unit To Help Enterprises Scale Agentic AI Adoption
Cognizant has launched a dedicated EMEA AI Unit to help enterprises in Europe, the Middle East, and Africa move from AI pilots to scaled, production-grade agentic AI deployments.2800 The unit will bring together consulting, engineering, and domain expertise to support customers in areas like AI strategy, data readiness, governance, and change management, reflecting growing demand for structured, region-specific support as organizations try to industrialize AI across complex regulatory and operational environments.
Read on for more→ Cognizant launches EMEA AI Unit to help enterprises scale agentic AI adoption
Encore AI Raises $30 Million To Deploy AI Agents In Regulated Industries
Encore AI has raised $30 million to expand its platform for deploying AI agents in regulated industries such as healthcare, financial services, and the public sector.2800 The company is focused on making it easier for organizations to stand up governed, auditable AI workflows that meet strict compliance and security requirements, positioning itself as an infrastructure layer for enterprises that need AI to operate under tight controls rather than in open, experimental environments.
Read on for more→ Encore AI raises $30M to deploy AI agents in regulated industries
Groundcover Raises $100 Million Series C To Build An Observability Platform For The AI Era
Groundcover has secured $100 million in Series C funding to build an observability platform designed for AI-era workloads.2800 The company is targeting organizations that need to monitor complex, agent-driven systems and high-volume telemetry with better performance and cost efficiency, offering a way to keep AI and cloud-native environments observable without the bill shock that often comes with traditional observability stacks.
Read on for more→ Groundcover raises $100 million Series C to create the observability platform built for the AI era
IBM Earns Databricks Brickbuilder Specializations In AI And Security And Governance
IBM has earned Databricks Brickbuilder specializations in AI and in Security and Governance, recognizing its depth of expertise in building solutions on the Databricks Data Intelligence Platform.2800 The specializations signal IBM’s ability to help customers design and implement advanced AI, security, and governance architectures on Databricks, aligning with broader demand for partners who can operationalize AI and data governance in complex enterprise environments.
Read on for more→ IBM earns Databricks Brickbuilder specializations in AI and Security and Governance
Microsoft And Databricks Expand AI Partnership To Bring Business Context Into Enterprise AI
Microsoft and Databricks are expanding their AI partnership to help enterprises bring business context into AI systems more easily.2800 The collaboration focuses on integrating Databricks’ data and AI capabilities more tightly with Microsoft’s cloud and productivity platforms, giving organizations a clearer path to connect governed data, semantic context, and AI workflows across their Microsoft and Databricks environments.
Read on for more→ Microsoft Databricks expand AI partnership
MiniOS Launches Aistor Memory To Give AI Agents Organizational Memory
MiniOS has introduced Aistor Memory, a capability designed to let AI agents inherit and use organizational memory rather than operating with only short-term context.2800 The system aims to capture decisions, interactions, and knowledge over time so agents can act with more continuity and institutional awareness, reducing repetitive work and improving the quality of automated workflows in complex enterprise environments.
Read on for more→ MiniOS Aistor memory enables agents to inherit organizational memory
Mozilla Data Collective Launches Compensated Datasets To Create A Fairer Market For AI Training Data
Mozilla Data Collective has launched Compensated Datasets, enabling organizations and communities to license multilingual, multicultural, and multimodal datasets for AI training under transparent terms. Dataset providers retain full control over pricing and licensing, receive 100% of licence fees, and can specify usage conditions, while downloaders pay a small platform fee to Mozilla, creating a more sustainable, consent-based data economy than traditional opaque data brokerage for AI builders looking for responsibly sourced training data.
Read on for more→ Mozilla Data Collective introduces compensated datasets for AI training data
Notre Dame Launches Data, AI, And Computing Initiative To Unify Emerging Technology Research And Education
Notre Dame has launched the Data, AI, and Computing (DAC) Initiative, a multi-year, campus-wide effort to unify research, education, and academic services around data, AI, and computing. Directed by Nitesh Chawla, the initiative brings together existing strengths across colleges, schools, centers, and disciplines to advance foundational research, interdisciplinary collaboration, and real-world applications, with an explicit focus on using emerging technologies to address societal challenges and position the university as a trusted leader in responsible AI and computing.
Read on for more→ Notre Dame launches Data, AI, and Computing Initiative
nScale Acquires Anyscale To Enhance Its Full-Stack AI Cloud Platform
nScale has acquired Anyscale to strengthen its full-stack AI cloud platform with deeper support for distributed AI workloads and Ray-based applications.2800 The deal is aimed at giving customers a more integrated environment for building, scaling, and operating AI systems, combining nScale’s infrastructure footprint with Anyscale’s orchestration and runtime capabilities.
Read on for more→ nScale acquires Anyscale, enhancing its full-stack AI cloud platform
OpenAI and Elastic Expand Partnership To Bring Frontier Intelligence To Enterprise Data And Security
Elastic and OpenAI are expanding their collaboration so enterprises can use OpenAI’s reasoning models together with Elasticsearch for AI applications, security operations, and observability. The partnership focuses on context-aware AI agents that retrieve permission-aware enterprise knowledge, agentic observability that correlates telemetry and aids root-cause analysis, and agentic security operations that help investigate alerts, with plans to bring OpenAI’s GPT‑5.5 Cyber models into Elastic Security workflows under the OpenAI Daybreak Cyber Partner Program.
Read on for more→ Elastic and OpenAI collaborate to bring frontier intelligence to your unstructured data
Perplexity Spaces Are Now Projects To Better Organize Research And Workflows
Perplexity has rebranded Spaces as Projects to better reflect how teams use the product to organize research, analysis, and collaborative workflows.2800 The change is intended to make it clearer that these are ongoing, structured workspaces rather than ad‑hoc collections of queries, aligning the product more closely with how knowledge workers manage complex, multi-session projects.
Read on for more→ Spaces are now projects
Rimini Street Launches Rimini Govern For AI To Deliver Comprehensive AI Agent Governance As A Service
Rimini Street has launched Rimini Govern for AI, a managed service that provides governance, security, monitoring, and measurement for AI agents and agentic workflows across the enterprise. The service offers a centralized operational control plane for agent activity, security events, compliance status, performance metrics, and cost data, delivered through a three-phase model that covers planning, implementation, and ongoing 24/7/365 operation from Rimini Street’s Global Command Centres, helping organizations move AI agents from pilots into production with clearer oversight and control.
Read on for more→ Rimini Street launches Rimini Govern for AI to deliver comprehensive AI agent governance, security & interoperability as a service
SnapLogic Introduces New SnapGPT Agentic Assistant To Simplify Integration And Data Workflows
SnapLogic has introduced SnapGPT, an agentic assistant designed to simplify integration and data workflows across the SnapLogic platform.2800 SnapGPT aims to help users design, troubleshoot, and optimize integrations more quickly by using AI to generate configurations, explain patterns, and suggest improvements, reducing the manual effort required to build and maintain complex data pipelines.
Read on for more→ SnapLogic introduces new SnapGPT agentic assistant
XCENA Unveils MX1 Production Lineup To Accelerate Push Into Hyperscale AI Infrastructure
XCENA has introduced its MX1 production lineup, a memory-centric computing solution built to address the capacity, utilization, and data-movement bottlenecks that are increasingly limiting AI inference at scale. The lineup includes MX1 Compute, which pairs CXL-based memory expansion with near-data processing powered by 2,048 RISC-V cores, and MX1 Expand, which provides eight DRAM slots and supports DRAM reuse and server scale-up for hyperscalers, together offering a way to scale memory as efficiently as compute and reduce unnecessary data movement between CPUs and memory.
Read on for more→ XCENA unveils MX1 production lineup to accelerate push into hyperscale AI infrastructure
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.
Thought Leaders: Your AI Strategy isn’t Failing: Your Organization’s Gravity is Stronger Than Your Ambition by Samir Sharma
Every organization begins its AI journey with optimism. The strategy is approved, funding is released and of course a steering committee is established. There is genuine belief that AI will improve productivity, create new revenue opportunities and transform how the business operates.
EdTech Series: Schools are Catching the Wrong Kind of Cheating by Jason Robinovitz
In June, I attended a three day conference outside Orlando where over a thousand educators talked about artificial intelligence. The keynote speaker, C. Edward Watson, projected some interesting statistics generated by Turnitin, the plagiarism service many schools use regularly. In its first year of AI detection, Turnitin reviewed more than two hundred million student papers, flagging twenty two million of them as significantly AI-generated.
EdTech Series: How to Use AI in the Classroom to Reignite Student Curiosity and Build Critical Thinking by George Hanshaw
Henry Ford supposedly said, “Whether you think you can or you can’t, you’re right. The same logic applies to AI in your classroom. If you’ve already decided it’s cheating, it’s cheating. If you’ve already decided it kills critical thinking, it’s killing critical thinking. And if you’ve decided to ban it while your students use it anyway on their phones? Congratulations, you’ve made it worse.
Contributor Series: AI Doesn’t Cut Headcount but Cuts Time Between Idea & Output by Roman Stanek
When founding figures of modern AI, Geoffrey Hinton, warned that the technology’s ROI depends on how well it replaces human labor, he was voicing a common fear. Some organizations still look at automation just as a way to do more with fewer people. The story isn’t nearly as simple as the headlines suggest, and Big Tech has every incentive to let it stick.
Best of: Cloud Financial Management Software Tools to Consider, 2026
Choosing the right vendor and solution can be a complicated process — one that requires in-depth research and often comes down to more than just the solution and its technical capabilities. To make your search a little easier, we’ve profiled the best cloud financial management software providers all in one place. We’ve also included platform and product line names and introductory software tutorials straight from the source so you can see each solution in action.
Information Gain Series: The Future of AI Education is About Teaching Judgment
That was one of the central themes explored during a recent Insight Jam keynote examining AI literacy through the lens of classroom debate. While debate served as the instructional framework, the broader message extended well beyond a single teaching strategy. The future of AI education is not simply about helping students use AI effectively. It is about teaching them how to evaluate, question, challenge, and ultimately exercise sound judgment alongside increasingly capable AI systems.
Information Gain Series: AI Adoption is a Behavioral Problem, Not a Technology One
Enterprise AI has entered a new phase. During the first wave of generative AI adoption, organizations focused almost exclusively on technology. They evaluated large language models, purchased enterprise subscriptions, launched pilot programs, and rushed to embed AI into existing workflows. The assumption was straightforward: if employees had access to better AI tools, adoption would naturally follow.
Information Gain Series: The Biggest Mistake Organizations Make Happens Before Deployment
During a recent Insight Jam Expert Keynote, Dr. Laura Spencer argued that the biggest AI mistake organizations make doesn’t occur after deployment. It happens before deployment, when AI adoption is driven by competitive pressure, executive expectations, or fear of falling behind instead of a clearly defined organizational purpose.
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The Editors Lens: AI Appreciation Day Quotes and Commentary from Experts, 2026 by William Jepma
As part of this year’s AI Appreciation Day, the Solutions Review editorial team called for the best and brightest minds in the enterprise technology market to share best practices, predictions, and personal anecdotes about the human impact of artificial intelligence. The experts featured represent some of the top influencers, consultants, and solution providers with experience across industries, and each projection has been vetted for relevance and ability to add business value.
Mini Jam Q2, 2026: AI in Practice: How L&D Are Actually Changing Broadcasts June 25-26
AI is quickly moving from experimentation to operational reality across education, workforce development, and practitioner learning environments. What began as a conversation around tools has evolved into a much larger transformation involving skills, implementation strategies, institutional design, and the future structure of learning itself. All-in, Mini Jam Q2, 2026 provides an unparalleled opportunity to gain insights, engage with experts, and stay at the forefront of the conversation on the human impact of AI on education.
Solutions Review Announces New EdTech Site on the Future of Work and Learning
The site will provide ongoing editorial, expert thought leadership, research-driven analysis on the state of EdTech, and awards programming through Mesh Awards to cover fully this transformation. Solutions Review EdTech will also house information gain from quarterly virtual events, expert panels, podcasts, and more from its sister brand Insight Jam (1M+ on YouTube), the home for the human conversation.
We Didn’t Build Solutions Review for AI, We Built it for Buyers by Tim King
A nuclear bomb has been exploded in not only digital marketing, but enterprise tech buying. Buyers increasingly discover information through AI search and their favorite GenAI bot, social media platforms like LinkedIn, and synthesized answers rather than lists of blue links. Visibility still matters, but the question is evolving from “Can you rank?” to “Can you be anchored as trusted a source?”
Insight Jam’s Mesh Lab Episode 5 Now Available: Human-Centered Environments
The conversation shifts beyond standard pedagogy to address the existential crisis facing students and workers as AI disrupts traditional ideas of productivity and purpose. Panelists emphasize the urgent need to stop measuring final outputs and instead focus on the creative, collaborative process of learning. Ultimately, the group argues that to foster uniquely human skills like adaptability in students, educators must first be granted the autonomy to exercise those exact same skills.
Solutions Review Editors Publish New Whitepaper – Authority with Video & How Marketers Win GenAI Search
This is a market-presence strategy for enterprise marketers who want to move from campaign execution to category influence and even niche building, while also positioning their brands for visibility inside the large language models that increasingly shape how buyers discover, evaluate, and shortlist enterprise tech solutions.
Solutions Review Surpasses 250K on YouTube to Power Unmatched Media Momentum in Enterprise Tech & the Human Impact of AI
Solutions Review has officially surpassed 250,000 subscribers on YouTube, a milestone that’s about more than just the number. This moment marks the payoff of a deliberate, two-year strategy centered on authoritative video, human-led insight, and an early recognition of how AI search engines ingest information, assign trust, and surface sources at scale.
Solutions Review Editors Launch New ‘Human-AI Ledger’ Newsletter to Chronicle the Human Impact of AI
Artificial intelligence is everywhere—but understanding its human impact has never been more urgent. That’s where Solutions Review‘s latest newsletter, The Human-AI Ledger, comes in. Designed to chronicle how AI is reshaping the way we learn, work, lead, and live, this newsletter explores the soft side of AI—the non-technical, deeply human dimensions that determine whether this technological revolution helps us thrive or leaves us behind.
Sign up now to get a weekly debrief of the latest human-centric news, insights, and commentary coming out of this emerging discussion.
How One Solutions Review Article Reshaped AI Answers Across an Entire Software Category
Something just happened in the AI search landscape that most companies will miss. But the ones who understand it will have a multi-year advantage. In January, Solutions Review recorded a 324 percent increase in media domain citations across AI answer engines in less than 30 days.
For consideration in future AI news roundups, send your announcements to the editor: tking@solutionsreview.com.
Tim King
Executive Editor
Tim is Solutions Review's Executive Editor covering the human impact of AI on the future of work and learning. He is also the Media Strategist behind Insight Jam (1M+ on YouTube) events and programming. A 2017 and 2018 Most Influential Business Journalist and 2021 "Who's Who" in multiple categories, Tim is a recognized thought leader in enterprise tech and AI.
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