Artificial Intelligence News for the Week of April 10; Updates from Anthropic, IDC, Nutanix & More
Solutions Review Executive Editor Tim King curated this list of notable artificial intelligence news for the week of April 10, 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.
Artificial Intelligence News for the Week of April 10, 2026
Accenture Buys Keepler To Deepen Cloud-Native AI And Data Muscle In Spain
Accenture has acquired Keepler Data Tech, a Spanish cloud‑native AI and data specialist whose more than 240 professionals will join Accenture across Madrid, London, and Lisbon. The deal strengthens Accenture’s local and regional capabilities for building data platforms, genAI, and agentic AI solutions on hyperscaler clouds, supporting clients that want end‑to‑end AI transformation grounded in strong data foundations.
Read on for more→ https://newsroom.accenture.com/news/2026/accenture-acquires-keepler-to-boost-its-ai-and-data-business-in-spain
Accuris AI Assistant Brings Clause-Level, Citation-Backed Answers To Engineering Workflows
Accuris has launched the Accuris AI Assistant, which answers engineering questions using only publisher‑authorized standards and technical content, with every response backed by precise clause‑level citations. The assistant runs within strict guardrails—no training on customer or standards‑body data, subscription‑bounded access, and full traceability—so engineers can move from document search to trusted, copy‑ready answers without weakening compliance or professional judgment.
Read on for more→ https://accuristech.com/news/accuris-launches-ai-assistant-to-deliver-trusted-citation-backed-engineering-answers/
Project Tapestry Aims To Make Open, Sovereign AI Development Federated By Design
The AI Alliance has launched Project Tapestry, an open-source platform for globally federated development of frontier AI models that lets regions and sectors keep local control over data, governance, and deployment. Backed by more than 200 member organizations and advised by Yann LeCun as Chief Science Advisor, Tapestry is designed to stitch together distributed compute, datasets, and research so open and sovereign AI efforts can scale without relying on a single vendor or jurisdiction.
Read on for more→ https://www.prnewswire.com/news-releases/ai-alliance-launches-project-tapestry-to-build-a-collaborative-foundation-for-open-and-sovereign-ai-302735918.html
Anthropic’s Project Glasswing Uses Its Own Frontier Model To Hunt Vulnerabilities Before Attackers Do
Anthropic has launched Project Glasswing, bringing together AWS, Apple, Cisco, CrowdStrike, Google, JPMorganChase, Microsoft, NVIDIA, Palo Alto Networks, and others to secure critical software with AI. Partners will use Claude Mythos Preview—an unreleased frontier model that has already found thousands of high‑severity vulnerabilities across every major OS and browser—to proactively scan and harden systems, backed by up to $100 million in usage credits and $4 million in donations to open‑source security groups.
Read on for more→ https://www.engadget.com/ai/anthropic-launches-project-glasswing-an-effort-to-prevent-ai-cyberattacks-with-ai-214939773.html
Apica Ascent 2.16 Delivers “Agentic‑Ready” Telemetry For AI‑Scale Workloads At Lower TCO
Apica is positioning Ascent 2.16 as “agentic‑ready” telemetry infrastructure, expanding its intelligent pipeline, real‑user monitoring, and SLO dashboards to handle 10–100x more telemetry from autonomous AI systems. The release adds synthetic data streaming, real‑time ROI on pipeline rules, and hardened throughput so enterprises can feed AI and observability stacks with clean, governed, real‑time telemetry at up to 40% lower total cost than legacy platforms.
Read on for more→ https://finance.yahoo.com/sectors/technology/articles/apica-delivers-agentic-ready-telemetry-120000271.html
AvePoint/Omdia: Governance And Compliance, Not Tech, Are The Top AI Roadblocks For MSP Customers
New research from AvePoint and Omdia finds 51% of MSPs cite governance and compliance challenges as the primary barrier holding customers back from AI adoption, ahead of data/security management, value realization, and skills gaps. The study also highlights strong demand for unified governance platforms and integrated backup/recovery, arguing that AI readiness is now an operational discipline MSPs must productize—not just a technical stack to deploy.
Read on for more→ https://www.avepoint.com/news/research-from-avepoint-and-omdia-reveals-governance-and-compliance-as-the-leading-ai-adoption-barrier-among-ms-ps-260409
Blaize AI Services Targets The “Last Mile” From AI Infrastructure To Revenue‑Generating APIs
Blaize plans to launch Blaize AI Services, a platform that turns AI infrastructure into modular, application‑level APIs for vision, video, document, speech, and multimodal workflows. The service is designed to shorten the path from pilots to production by bundling inference, intelligent scheduling, and business logic into ready‑to‑use APIs, lowering cost per query and enabling usage‑ or outcome‑based pricing so providers and enterprises can build recurring AI service revenue on top of existing hardware.
Read on for more→ https://www.businesswire.com/news/home/20260409740283/en/Blaize-Announces-Planned-Launch-of-Blaize-AI-Services-to-Turn-AI-Infrastructure-into-Production-Ready-APIs
3 Code Aims To Turn Natural-Language Specs Into Production-Grade Enterprise AI Apps
C3 AI has launched C3 Code, a development platform where autonomous agents convert natural-language requirements into full-stack enterprise AI applications in hours, not months. The system generates data models, ML pipelines, APIs, agentic workflows, and UIs while drawing on validated C3 domain algorithms and the C3 AI Corpus of patterns and docs, with governance and security baked in so the output is deployment‑ready rather than a prototype.
Read on for more→ https://www.businesswire.com/news/home/20260408810023/en/C3-AI-Announces-C3-Code-The-Enterprise-AI-Development-Platform-That-Turns-Natural-Language-Into-Production-Grade-Applications
CAS Newton Brings Agentic AI To 150 Years Of Curated Scientific Literature
CAS, a division of the American Chemical Society, has launched CAS Newton, a “science‑smart” agentic AI grounded entirely in the CAS Content Collection of 150‑plus years of curated scientific knowledge. Newton engages conversationally with complex R&D questions, runs inside secure environments alongside proprietary data, and always ties answers back to trusted literature, giving scientific teams a way to speed discovery without sacrificing rigor, governance, or verifiability.
Read on for more→ https://ca.finance.yahoo.com/news/meet-cas-newton-agentic-ai-120000524.html
Cisco To Acquire Galileo To Make Agentic AI More Observable And Trustworthy
Cisco plans to acquire Galileo Technologies to add real-time observability, evaluation, and guardrails for multi-agent AI systems into its portfolio, including Splunk Observability Cloud. Galileo’s platform instruments the full agent development lifecycle—from prompt design and model selection to production monitoring—so enterprises can detect failures before users see them and continuously improve AI behavior with stronger transparency and control.
Read on for more→ https://blogs.cisco.com/news/Cisco-announces-the-intent-to-acquire-galileo
DataBank And Goodman Group Map Out 32MW Los Angeles Data Center For AI-Heavy Demand
DataBank and Goodman Group have formed a joint venture to build a new 32MW data center at 3094 E Vernon Avenue in Vernon, California, one of the most constrained markets for capacity in the U.S. The site, aimed at cloud, AI, and enterprise workloads, will open with 6MW in December 2026 and scale to the full 32MW by late 2027, contributing to DataBank’s 850MW-plus national development pipeline.
Read on for more→ https://www.prnewswire.com/news-releases/databank-and-goodman-group-partner-to-open-new-landmark-data-center-in-los-angeles-302735412.html
Dynatrace Buys Bindplane To Make Open Telemetry Pipelines A First-Class Part Of Its AI Platform
Dynatrace has signed a deal to acquire Bindplane, whose open-standards telemetry pipeline helps organizations capture and route logs, metrics, and traces at scale. The company says the combination will give customers a unified, edge‑to‑analytics pipeline feeding Grail and Dynatrace’s AI engine, with more control over cost, volume, and quality of telemetry for cloud‑native observability and AI use cases.
Read on for more→ https://www.dynatrace.com/news/press-release/dynatrace-to-acquire-bindplane/
DXC Becomes “Customer Zero” For ServiceNow’s Agentic AI To Prove Out AI-First Transformation
DXC Technology and ServiceNow have signed a multi‑year agreement that makes DXC a flagship “customer zero” for the ServiceNow AI Platform across its own global operations. DXC will use ServiceNow’s agentic AI, Core Business Suite, and workflow capabilities to unify enterprise services and then package those patterns as offerings customers can adopt to move from AI pilots to AI‑first operations.
Read on for more→ https://www.prnewswire.com/news-releases/dxc-partners-with-servicenow-on-a-new-wave-of-ai-first-enterprise-transformation-302735726.html
IDC Quanta Embeds Tech Intelligence Directly Into AI‑Era Decision Workflows
IDC has unveiled IDC Quanta, an AI‑powered technology intelligence platform that delivers IDC’s research and data directly into the tools where business decisions are made. The platform acts as a “technology intelligence layer” for the AI economy, combining embedded delivery, contextualization with a company’s own data, strict enterprise security, proactive insight surfacing, and IDC’s 60‑plus years of analyst rigor to move clients from static reports to continuous, in‑workflow guidance.
Read on for more→ https://www.idc.com/aiplatform/
Intel And SambaNova Propose Heterogeneous Blueprint For Agentic AI On Xeon 6
Intel and SambaNova have unveiled a joint architecture for agentic AI that combines GPUs for prefill, SambaNova RDUs for high‑throughput decode, and Intel Xeon 6 CPUs as host and action processors. The heterogeneous design targets production‑scale agents that need fast reasoning plus tool use, aiming to improve performance and efficiency over GPU‑only stacks while staying compatible with existing x86‑based data center software.
Read on for more→ https://newsroom.intel.com/artificial-intelligence/intel-and-sambanova-advance-agentic-ai-with-xeon-6
Kaseya Opens Silicon Valley AI Hub To Accelerate MSP-Focused Automation Roadmap
Kaseya has opened a Silicon Valley R&D hub to ramp up investment in AI‑driven IT management and cybersecurity products for MSPs and midmarket IT teams. The new office is meant to attract top machine learning and engineering talent and speed delivery of roadmap items that embed AI across Kaseya’s platform for automation, threat detection, and service efficiency.
Read on for more→ https://www.kaseya.com/press-release/kaseya-expands-ai-innovation-with-silicon-valley-rd-hub-to-accelerate-customer-outcomes/
Lucidworks Launches MCP Server To Slash Agent–Data Integration Work By Up To 10x
Lucidworks has released a Model Context Protocol (MCP) server that gives AI agents a single, standardized way to access enterprise knowledge through the Lucidworks Platform. Early deployments show organizations can reduce integration timelines by up to 10x and save more than $150,000 per integration while ensuring every AI response is governed by existing relevance models, pipelines, and security controls.
Read on for more→ https://www.globenewswire.com/news-release/2026/04/08/3269912/0/en/Lucidworks-Launches-Model-Context-Protocol-to-Reduce-AI-Agent-Integration-Timelines-by-Up-to-10x.html
NeuBird AI Raises $19.3M To Turn Agentic AI Into A Production Ops Co‑Pilot
NeuBird AI has raised $19.3 million led by Xora Innovation, with Mayfield, StepStone Group, Prosperity7 Ventures, and M12 participating, to scale its agentic AI platform for enterprise production operations. The company’s agents focus on incident detection, triage, and remediation across complex multicloud estates, aiming to reduce burnout for SRE and DevOps teams by shifting from reactive firefighting to proactively managed reliability.
Read on for more→ https://finance.yahoo.com/sectors/technology/articles/neubird-ai-raises-19-3-131500262.html
Nutanix–NetApp Alliance Targets Safer, Faster Cloud Platform Modernization
Nutanix and NetApp have formed a strategic alliance to integrate NetApp enterprise storage with the Nutanix Cloud Platform and AHV hypervisor. The partnership is designed to help organizations accelerate and de‑risk cloud platform modernization by pairing Nutanix’s hybrid multicloud stack with NetApp’s intelligent data infrastructure as a unified foundation for applications and data.
Read on for more→ https://www.netapp.com/newsroom/press-releases/news-rel-20260407-695711/
Pega Blueprint For Government Uses GenAI To Translate Legacy Federal Systems Into Modern Workflows
Pega has introduced Pega Blueprint for Government, a genAI‑powered offering that ingests artifacts like COBOL code, screenshots, and policy manuals and turns them into proposed modern workflows in minutes. Built on Pega’s governance and low‑code architecture, the blueprint is designed to help federal agencies systematically retire fragile legacy systems while keeping mission‑critical processes auditable, compliant, and easier to evolve.
Read on for more→ https://www.businesswire.com/news/home/20260407428509/en/Pega-Helps-Federal-Government-Modernize-Legacy-IT-Systems-with-Launch-of-Pega-Blueprint-for-Government
Resume Now: 35% Of Workers Rarely Review AI Output Before Using It
New Resume Now research finds that 35% of employees say they rarely or only occasionally review AI-generated content before using it in their work. Another 15% admit to using AI tools without telling their manager, underscoring a growing oversight gap where AI usage is widespread but quality checks and governance are still highly ad hoc and driven by individual habits.
Read on for more→ https://www.resume-now.com/job-resources/careers/ai-oversight-gap
SiFive Raises $400M To Push High-Performance RISC-V Into AI Data Centers
RISC‑V IP leader SiFive has raised $400 million in an oversubscribed Series G round led by Atreides Management with investors including NVIDIA, Apollo, Point72 Turion, and T. Rowe Price, valuing the company at $3.65 billion. The funding will accelerate high‑performance RISC‑V CPU and AI IP roadmaps for hyperscalers and data centers, as SiFive positions open instruction‑set silicon as a flexible, power‑efficient complement to x86 and Arm in future AI infrastructure.
Read on for more→ https://www.businesswire.com/news/home/20260409986099/en/SiFive-Raises-%24400-Million-to-Accelerate-High-Performance-RISC-V-Data-Center-Solutions-Company-Valuation-Now-Stands-at-%243.65-Billion
Xoople Raises $130M To Build An AI-Ready “System Of Record” For The Entire Earth
Madrid-based Xoople has raised a $130 million Series B led by Nazca Capital to build a continuously updated, AI‑ready Earth data infrastructure. After seven years in stealth, the company is positioning its satellite constellation and data platform as a trusted “ground truth” layer for AI across use cases like supply chain resilience, infrastructure monitoring, agriculture, and climate risk.
Read on for more→ https://techcrunch.com/2026/04/06/spains-xoople-raises-130-million-series-b-to-map-the-earth-for-ai/
Expert Insights

Insight Jam and Donald Farmer Launch Waitlist for New Mesh Expert Group on the Last Mile: Analytics Leadership in the Age of AI
Over twelve monthly sessions, a cohort of just eight senior analytics and BI leaders works through the practical and strategic dimensions of leading in an AI-augmented environment.
The sessions build progressively: early months establish a framework for where human judgment remains indispensable; middle months address the operational pressures, data quality, governance, the proliferation of shadow AI tools, and conversational interfaces that complicate deployment in real organizations; later months turn toward team development, role evolution, and a planning horizon of two years.
Join the waitlist on Insight Jam
NEW Episode of The Human Conversation with Doug Atkinson: Is Your Kid Using AI to Cheat? A Teacher Says That’s the Wrong Question Featuring Courtney Bock
In this episode, Doug and Courtney dig into the ed tech land rush and why not all tools are created equal, how teachers are already using AI to personalize learning in ways that weren’t possible before, why kids raised on screens are showing up to school in what Courtney calls “dopamine withdrawal,” and why school districts that ban AI entirely aren’t playing it safe — they’re just building an underground black market.
The Editors Lens: How to Get Your Brand Cited by AI: A Primer to GEO & AEO by Tim King
This distinction has significant implications for software vendors specifically. In traditional search, success was measured by traffic. In AI-driven environments, success is increasingly measured by citation. If your content is not being referenced by AI systems, it is not participating in the earliest and often most influential stage of the buyer journey. If it is, your brand is shaping decisions before a formal evaluation process has even begun.
The Editors Lens: Information Gain Marketing Strategy: The New Standard for Appearing in AI Search by Tim King
The shift from search engines to answer engines is quietly rewriting the rules of B2B marketing. For years, visibility was driven by rankings, backlinks, and keyword density. Today, large language models synthesize responses instead of serving lists of links, fundamentally changing how brands are discovered. In this new environment, the question is no longer whether your content exists or even ranks. It is whether it contributes anything meaningfully new to the system generating the answer.
The Editors Lens: The Skills That Actually Matter in the AI Age by Tim King
The opening panel of Insight Jam Q1 Mini Jam didn’t just ask what skills matter in the age of AI—it exposed that the very definition of skill is being rewritten in real time. Beneath the surface of conversations about prompting, tooling, and technical fluency was a deeper and more disruptive realization: we are not simply upgrading skills—we are redefining capability itself.
The Editors Lens: What Counts as Proof of Work Credentials in the AI Economy by Tim King
The second panel of Insight Jam Q1 Mini Jam made one thing unmistakably clear: the concept of “credentials” is undergoing a structural collapse—and in its place, a new currency is emerging. In an AI-driven economy where output can be generated instantly and expertise can be simulated, the question is no longer what you know or even what you’ve been certified to do. The question is far more direct: what can you actually produce, and can you stand behind it?
The Editors Lens: What is AI Native Learning? Core Education Components Revealed by Tim King
The third panel of Insight Jam Q1 Mini Jam surfaced a defining reality: AI is not just another educational tool—AI is reshaping the very architecture of how learning happens. The question is no longer whether AI belongs in education, but what an AI-native learning model actually looks like when built from the ground up. What emerged from the discussion is a clear shift away from content delivery and static assessment toward a dynamic, adaptive, human-centered system where AI is embedded into every layer of the learning experience.
The Editors Lens: Learning & Earning in the Age of AI: Do Durable Skills Drive Mobility? by Tim King
The final panel of Insight Jam Q1 Mini Jam tackled a question that sits at the center of the AI economy: do durable skills actually drive economic mobility—and if so, how does the pathway from learning to earning fundamentally change? What emerged from the discussion was not a simple yes or no, but a clear signal that the entire system connecting education, work, and advancement is being rewritten in real time.
Thought Leaders: The System Was Never Designed to See What Makes You Human by Michelle Ament
This post is part of a year-long thought leadership series, produced in partnership with Solutions Review’s Insight Jam Mesh Lab, that explores the future of work and learning. Each session brings together educators, workforce development leaders, and industry experts to build a framework for human capability in the intelligence age. Session 3 focused on measuring what matters when AI can generate the outputs our systems were built to assess.
Thought Leaders: Drucker’s Five Questions in the Age of AI: A Test Most Organizations Are Failing by Samir Sharma
I received an email yesterday that took me back 30 years to when I did Management Science at university and specifically Peter Drucker’s five questions from a marketing strategy standpoint. What struck me is that the questions are global within themselves and can be used for any “strategy”. Hence, why I’ve applied them to AI, because of course that’s the buzz these days, if you haven’t heard!
Contributor Series: How to Attract, Retain & Scale AI Talent in an Overheated Market by Mike Hakob
The AI talent shortage is real and accelerating, and AI hiring has never been more urgent. In the first half of 2025, AI jobs grew by nearly 89 percent, and the average AI engineer’s compensation exceeded $206,000. At the same time, about 94 percent of C-suite leaders report AI-critical shortages, with many facing gaps of at least 40 percent.
Contributor Series: Secure by Design: The Missing Link Between AI Pilots and Production Success by Adam Khan
A Project NANDA report underscores the gap: “despite $30–40 billion in enterprise investment into GenAI, 95% of organizations are getting zero return. Just 5% of integrated AI pilots are extracting millions in value, while the vast majority remain stuck with no measurable P&L impact.”
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Mini Jam, Q1 2026 On-Demand: The Skills Reckoning on March 31
This program is designed not simply to comment on change, but to explore the structural redesign of education and workforce systems now required to keep pace with it. For leaders operating at the intersection of AI, education, upskilling, and L&D, the Q1 Mini Jam offers a clear view into the forces reshaping how capability is defined, developed, and deployed in the years ahead.
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 artificial intelligence news roundups, send your announcements to the editor: tking@solutionsreview.com.



