AI News for the Week of July 24; Updates from Booz Allen, Gartner, Microsoft & More
Solutions Review Executive Editor Tim King curated this list of notable artificial intelligence news for the week of July 24, 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.
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AI News for the Week of July 24, 2026
Aerospike, AMD, And Google Gemini Join Forces To Push Real-Time Agentic Fraud Detection
Aerospike is showcasing a real-time fraud detection stack that combines its database with Google’s Gemini, the Agent Development Kit, and AMD EPYC-powered Cloud C4D VMs to support agentic AI workflows at machine speed. The setup is built for instant transaction processing and case assembly, letting enterprises analyze risk signals, generate investigation context, and route decisions faster without sacrificing the low-latency database access that fraud and payments use cases demand.
Read on for more→ Real-Time Fraud Detection at Machine Speed
Arctera State Of AI Governance 2026 Finds Most Organizations Expect Communication Risk To Rise But Few Can Prove Governance
Arctera’s State of AI Governance 2026 report finds that 78% of organizations using AI expect communications risk to increase, while fewer than one in five can prove that their governance controls are working. The research points to a widening gap between AI adoption and auditability, with many teams struggling to demonstrate consistent oversight across communications, retention, legal hold, and risk workflows as AI becomes more embedded in daily operations.
Read on for more→ Arctera state of AI governance 2026
Block Introduces Buzz To Help Humans And Agents Work Together In Financial Workflows
Block has introduced Buzz, a new agentic workspace designed to let humans and AI agents collaborate inside operational workflows. The product is aimed at making it easier to route tasks, surface context, and coordinate actions between people and software agents, which is especially relevant for financial operations where speed, traceability, and human approval still matter.
Read on for more→ Introducing Buzz: where humans and agents work together
Cinchy Launches PeriMind To Help Enterprises Build A Governed Data Layer For AI
Cinchy has introduced PeriMind, a governed data layer designed to give AI systems cleaner, better-connected business context. The product is aimed at helping enterprises reduce the chaos of fragmented data, improve how AI agents reason over enterprise information, and enforce governance around the data that feeds model outputs and workflows.
Read on for more→ Cinchy launches PeriMind
Coforge Launches Nuuron To Act As An AI Operating System For The Autonomous Enterprise
Coforge has launched Nuuron, an AI operating system designed to help enterprises move beyond isolated AI projects and industrialize AI-driven outcomes across the business. Built on Coforge’s existing AI-native platforms, Nuuron connects enterprise knowledge, workflows, decisions, and actions into one operational layer, with knowledge graphs and a Forward Deployed Engineer model intended to keep governance, transparency, and business alignment intact as organizations deploy agentic AI at scale.
Read on for more→ Coforge launches Nuuron: The AI Operating System for the Autonomous Enterprise
DataCamp Launches Learning Collaboration With Google Cloud To Expand Cloud And AI Skills
DataCamp’s new collaboration with Google Cloud is aimed at helping learners and teams build practical Google Cloud skills through hands-on training. The partnership extends DataCamp’s cloud curriculum with role-based learning paths that support practitioners modernizing applications, securing cloud environments, and preparing for AI and data engineering work on Google Cloud.
Read on for more→ DataCamp launches learning collaboration with Google Cloud
DataRobot Gives Enterprises Full Control Over Where And How Their AI Runs
DataRobot has launched updates that let enterprises choose where AI runs and how it is governed, reflecting growing demand for deployment flexibility across cloud, on-prem, and regulated environments. The company is positioning control over model placement, infrastructure choice, and governance as key differentiators for organizations that need to balance performance, cost, and compliance as they scale AI into production.
Read on for more→ DataRobot gives enterprises full control over where and how their AI runs
Domino Data Lab Survey Finds AI ROI Still Lags Spend For Most Enterprises Even As Production Results Improve
A new survey finds that 57% of enterprises still say AI ROI does not outpace spend, even though 93% report improved production outcomes compared with 2025. The data suggests that many organizations are getting better at operationalizing AI, but not yet translating those gains into clear financial returns, reinforcing the gap between pilot success, production maturity, and measurable business value.
Read on for more→ AI ROI fails to outpace spend for 57% of enterprises
Fireworks AI Raises $1.5 Billion Series D To Scale Its Multi-Model AI Platform
Fireworks AI has raised $1.5 billion in Series D financing to expand its infrastructure and multi-model platform for enterprise AI workloads. The company is targeting organizations that want to orchestrate multiple models, control inference costs, and build agentic applications with greater flexibility than a single-model stack allows.
Read on for more→ Fireworks AI raises $1.5 billion Series D
Gartner Forecasts Worldwide AI Platforms And Models Market To Grow 63% In 2026
Gartner forecasts that the worldwide AI platforms and models market will grow 63% in 2026, underscoring how quickly enterprise spending is shifting toward AI software infrastructure. The growth outlook reflects continued investment in platforms that support model development, orchestration, deployment, and governance as AI moves from experimentation into production.
Read on for more→ Gartner forecasts worldwide AI platforms and models market to grow 63% in 2026
Gurobi Publishes Inaugural State Of Mathematical Optimization In Academia Report
Gurobi has released its first State of Mathematical Optimization in Academia report, based on surveys of more than 1,180 students and faculty who actively use Gurobi. The report finds that mathematical optimization is increasingly intersecting with generative AI in teaching and research, with coding assistance and model generation emerging as the top use cases that could benefit from combining GenAI with optimization tools.
Read on for more→ Gurobi publishes inaugural State of Mathematical Optimization in Academia Report
Simplilearn Collaborates With Duke University To Prepare Learners For Agentic AI Careers
Simplilearn and Duke University are collaborating on a new AI-focused learning program that includes practical tools, hands-on projects, and an Agentic AI workshop. The 20-week program is designed to give professionals a stronger foundation in generative and agentic AI, with live online instruction and structured coursework that connects technical concepts to workplace use cases.finance.
Read on for more→ Simplilearn collaborates with Duke University to prepare learners
SkyPilot Raises $20 Million To Accelerate Custom AI Infrastructure Deployment
SkyPilot has raised $20 million to expand its tools for deploying custom AI infrastructure. The company is focused on helping teams provision and manage compute more efficiently so they can scale AI experiments and production workloads without hand-building every infrastructure layer themselves.
Read on for more→ SkyPilot launches $20M to accelerate custom AI infrastructure
Microsoft And Mistral Expand Their AI Partnership With Sovereign Cloud And Azure Integration
Microsoft and Mistral are expanding their partnership to support sovereign cloud use cases and tighter Azure integration. The collaboration is aimed at helping organizations deploy Mistral models in more controlled environments while keeping enterprise data residency, governance, and platform integration in focus.
Read on for more→ Microsoft and Mistral expand AI partnership with sovereign cloud and Azure integration
Neo Launches With $100 Million To Secure AI Software Across The Enterprise
Neo has emerged from stealth with $100 million in funding to control and secure AI-enabled software and agents inside enterprise environments. The company’s focus is on monitoring and governing systems that can choose tools, access data, and take actions without step-by-step human direction, filling a security gap that traditional identity and endpoint tooling was not built to handle.
Read on for more→ Neo launches with $100M to secure AI software across the enterprise
Sinch Publishes AI Customer Communications Research Showing The Shift Toward Conversational, Personalized Engagement
Sinch’s AI customer communications research shows how organizations are rethinking customer engagement as AI becomes a more central part of service and messaging. The report points to stronger demand for personalized, conversational experiences and highlights the operational challenge of using AI responsibly across channels while keeping communications reliable, compliant, and consistent.
Read on for more→ AI customer communications research
VAST Data Deepens Its AMD Collaboration To Build Open, Flexible AI Infrastructure For AI Factories
VAST Data is expanding its collaboration with AMD to support AMD EPYC CPUs and Instinct accelerators across its AI OS platform and reference hardware. The partnership is aimed at customers building AI factories and enterprise AI deployments that need a unified stack for accelerated computing, intelligent data services, and optimized inference software, with an emphasis on openness and flexibility rather than a single-vendor design.
Read on for more→ VAST Data AMD partnership
Vultr Scales Next-Generation AI Infrastructure With AMD Helios Rackscale Solution
Vultr is becoming one of the first cloud providers to offer AMD’s Helios rackscale solution and Instinct MI455X GPUs for enterprise AI and inference workloads. The offering combines open-rack hardware design, high-bandwidth networking, and large-memory GPUs to support large-scale AI training and inference with more flexibility around deployment, cost, and capacity planning.
Read on for more→ Vultr scales next-generation AI infrastructure with AMD Helios Rackscale Solution
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: Stop Buying AI: Start Buying Decisions by Samir Sharma
Nobody questions that AI matters. Where I think boards are falling short is much simpler than that, and it’s a question I’ve started asking directly in the room: is this investment going to change how we make decisions, or is it just more technology sitting on top of the technology we already have?
Thought Leaders: Harnessing Unstructured Data for Agentic AI: A 3-Stage Maturity Model by Kevin Petrie
Everyone knows context is king in the world of agentic AI. What needs more attention is the pivotal role of unstructured data in building the context that really differentiates your organization. Most AI adopters remain immature in this area. They struggle to organize and consume their proprietary documents, emails, and images.
EdTech Series: What a Two-Year-Old Taught Me About AI by Genevieve Bosma Martinez
Most of what I read about AI circles one question: what can this tool do for me? Lately I’ve been wondering if the better first question is simpler: what is this task actually for?
That question changes everything downstream of it. A task designed to produce a document and a task designed to build a skill can look nearly identical from the outside. Hand AI the first one, and you’ve saved yourself an afternoon. Hand AI the second, and you may have quietly canceled the reason the task existed in the first place.
EdTech Series: You Cannot Prompt-Train Your Way to AI Adoption by Paul Carney
Early adopters may move quickly, but many others will not. The issue is rarely a lack of intelligence or willingness. The problem is that organizations have introduced a tool without providing a complete learning journey that helps people change the habits surrounding how they work.
AI adoption is not simply a technology rollout. It is a human change-management process, and that process needs a curriculum-based approach.
EdTech Series: AI Develops Code: Who’s Developing Developers? by Colin Coggins
Research from Stack Overflow shows that the vast majority of developers now incorporate AI-generated code into their workflows. As a result, the role of the software engineer is shifting. Developers are spending less time writing every line of code and more time evaluating AI outputs, integrating systems, solving complex problems, and exercising judgment.
EdTech Series: The New Learning Stack Reveals the Enduring Work of Education by Eric Klein
Hardly a day goes by without AI becoming part of a conversation that I’m having about higher education.
I hear it in leadership meetings, conference sessions, workshops, and conversations with colleagues across the country. No matter the setting, the questions are consistent. Which AI tools should we adopt? How should faculty incorporate AI into their teaching? What role should AI play in the assessment of student learning? Which platforms are worth investing in? How do we preserve academic quality while embracing innovation?
EdTech Series: Escape Rooms Become the Trojan Horse for AI Fluency Professional Development in Schools by Phillip Alcock
AI fluency has become the most urgent conversation in schools, and the training built to deliver it keeps failing in contact with so many classrooms. A teacher sits through a session, nods at the slide about the future of work, and walks out with no idea what to do differently on Monday. A small number of schools are trying something else. They are getting teachers to re-design learning experiences, to reconsider what the lesson plan is, and.. to build.. escape rooms.
Information Gain Series: The Biggest Mistake Schools Are Making About AI by Tim King
The biggest mistake schools are making about AI is treating it as the problem rather than recognizing it as the catalyst exposing deeper issues that already existed. AI did not invent weak assessments, outdated instructional models, unclear policies, or gaps in digital literacy (shots fired). It simply made those weaknesses impossible to ignore.
Information Gain Series: Knowledge Alone is No Longer the Competitive Advantage by Tim King
That idea emerged repeatedly during a recent Insight Jam discussion examining how learning is evolving beyond traditional course-based education. The panel suggested that as AI makes information increasingly accessible, competitive advantage shifts away from what people know and toward what they can actually do with what they know.
Information Gain Series: Why Student-Facing AI Fails Without a Teaching Strategy by Tim King
For the past two years, conversations about AI in education have largely centered on technology. Schools have debated which platforms to adopt, how to write AI policies, and whether students should have access to AI at all. Vendors continue releasing increasingly sophisticated tools, while districts feel pressure to keep pace with rapid innovation. Yet many student-facing AI initiatives continue to disappoint. The reason is rarely the technology itself.
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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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