Artificial Intelligence News for the Week of March 20; Updates from Accenture, Insight Jam, PwC & More
Solutions Review Executive Editor Tim King curated this list of notable artificial intelligence news for the week of March 20, 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 March 20, 2026
Accenture And Databricks Deepen Their Alliance To Scale Enterprise AI From Pilot To Production
Accenture and Databricks are expanding their partnership with a new Accenture Databricks Business Group focused on helping enterprises adopt Databricks as their core data and AI platform. The collaboration centers on moving fragmented data into a unified foundation, scaling Lakebase, Genie, Agent Bricks, and Lakehouse, and applying Accenture’s industry expertise to get AI applications and agents into production more quickly. Both companies frame the move as a response to the common enterprise bottleneck: many pilots, but too little production-grade governance, operating discipline, and business impact.
Read on for more→ https://www.databricks.com/company/newsroom/press-releases/accenture-and-databricks-accelerate-enterprise-adoption-ai
Alembic Turns Causal AI Into A Real-Time Decision Simulation Engine
Alembic has launched Version 3.0 of its Causal AI platform, adding real-time causal recomputation and instant scenario modeling for enterprise planning. The platform models verified cause-and-effect relationships across media, pricing, macro factors, customer behavior, and operations so executives can simulate the revenue impact of budget and strategy changes before committing capital. Alembic is targeting organizations that want to move from retrospective analytics to forward-looking decision simulation, with GPU-accelerated infrastructure underpinning the system.
Read on for more→ https://www.businesswire.com/news/home/20260319400889/en/Alembic-Launches-Real-Time-Causal-AI-Platform-for-Enterprise
Anyscale Says GPU-Native Data Processing Can Cut Multimodal Costs Dramatically
Anyscale is pairing Ray Data with NVIDIA cuDF and RTX PRO 4500 Blackwell Server Edition to make multimodal AI data processing much cheaper and faster. The company says the integration can reduce costs by up to 80% for data preparation workloads while extending Ray’s orchestration to rack-aware scheduling on large GPU clusters. Anyscale is positioning the update as a practical way to lower the cost of training, RAG preparation, and robotics pipelines without reworking existing cloud or on-prem infrastructure.
Read on for more→ https://www.anyscale.com/press/anyscale-cuts-multimodal-ai-data-processing-costs-with-nvidia-rtx-pro-4500
App Orchid Adds Role-Based Guardrails To Keep LLM Answers Aligned To Enterprise Semantics
App Orchid has introduced role-based AI guardrails that let enterprises control how much interpretive freedom an LLM has depending on the user’s role and task. The company’s interpretation modes range from strict “Controlled” validation against the semantic layer to more exploratory “Freeform” querying, with a middle “Balanced” mode for guided flexibility. The goal is to expand AI access safely across teams while keeping answers consistent with business definitions and trusted data structures.
Read on for more→ https://www.sdcexec.com/software-technology/emerging-technologies/news/22962545/app-orchid-app-orchid-introduces-rolebased-ai-guardrails-for-llms
BMC Adds Agentic AI To Control-M So Orchestration Can Plan, Diagnose, And Optimize Itself
BMC has expanded Control-M with new agentic AI capabilities that help users design workflows, analyze failures, generate operational insights, and coordinate AI agents alongside data and application workflows. The update includes broader integrations with tools such as CrewAI, LangGraph, and Snowflake Cortex, plus expanded AI assistance for self-hosted deployments so assistive features are available across environments. BMC is positioning Control-M as the orchestration foundation for the AI era, where governed automation becomes the runtime for business processes and agentic tasks alike.
Read on for more→ https://www.bmc.com/newsroom/releases/bmc-advances-trusted-ai-orchestration-with-new-control-m-capabilities.html
Crusoe Extends Its NVIDIA Stack Into The Full AI Factory Lifecycle
Crusoe is deepening its NVIDIA collaboration across models, inference, and infrastructure to present itself as a full-stack AI factory provider for the agentic era. The company is adopting NVIDIA’s Vera Rubin DSX Reference Design and Omniverse DSX Blueprint to guide next-generation gigawatt-scale factory layouts, with digital twins, power and cooling optimization, and mechanical/electrical integration all part of the plan. Crusoe is also adding support for NVIDIA’s newest models and open frameworks so customers can move from raw infrastructure to deployed AI systems in one environment.
Dell Expands Its AI Factory With A Unified Data Platform And Conversational Analytics
Dell has broadened its AI Factory with NVIDIA by adding a more integrated AI Data Platform, new storage and orchestration layers, and a conversational assistant for querying governed data. The update automates discovery, preparation, governance, and structuring of structured, unstructured, and multimodal data so enterprises can create AI-ready datasets at scale. Dell is aiming to give customers a vertically integrated stack that links analytics and AI in one environment while reducing the friction of getting data ready for production workloads.
Read on for more→ https://siliconangle.com/2026/03/16/dell-expands-ai-factory-new-data-platform-infrastructure-agentic-ai-features/
EDB Puts Postgres At The Center Of An Agentic Workforce Stack
EDB is accelerating Postgres for the agentic workforce era with GPU-accelerated analytics, high-speed retrieval, and sovereign deployment options built around EDB Postgres AI. The company says the platform can deliver up to 100x performance improvements for interactive analytics, helping enterprises avoid “data ping-pong” across disjointed platforms while supporting autonomous agents that reason and act on real-time data. EDB frames its stack as an enterprise-ready foundation for organizations moving from generative AI pilots into production agentic workflows.
Read on for more→ https://finance.yahoo.com/news/edb-accelerates-postgres-agentic-workforce-203200061.html
Hammerspace Launches A New AI Data Platform On NVIDIA Reference Design
Hammerspace has launched an AI data platform based on NVIDIA’s reference design, using NVIDIA AI Enterprise components to simplify data orchestration for inference, RAG, and agentic AI. The platform converges data management and orchestration across heterogeneous storage so enterprises can automate indexing, governance, and security across the full AI pipeline. Hammerspace is aiming to give organizations a production-ready data foundation that works across accelerated computing and existing storage estates.
Read on for more→ https://www.morningstar.com/news/business-wire/20260316701813/hammerspace-launches-ai-data-platform-based-on-nvidia-reference-design-available-now
Hitachi Vantara Expands Hitachi iQ To Cover More Of The Agentic AI Stack
Hitachi Vantara is adding AI blueprints, multi-agent coordination in Hitachi iQ Studio, expanded NVIDIA infrastructure options, and deeper data integration to its Hitachi iQ portfolio. The update is aimed at helping enterprises build and govern agentic AI in on-premises and virtualized environments while keeping data close to compute and maintaining control over security and sovereignty requirements. Hitachi positions the portfolio as a validated infrastructure stack that connects accelerated compute, storage, and software for production AI.
Read on for more→ https://www.hitachivantara.com/en-us/news/gl260316
HPE Turns Distributed AI Factories Into A Single Intelligent Grid
HPE has launched HPE AI Grid, an end-to-end solution built on NVIDIA reference architecture that securely connects AI factories and distributed inference clusters across regional and far-edge sites. The pitch is to let service providers run thousands of low-latency inference locations as one coordinated system, with zero-touch provisioning, automated security, and orchestration designed for real-time AI services. HPE is aiming the grid at use cases like retail personalization, predictive maintenance, healthcare edge inference, and carrier-grade services where latency and location matter as much as model quality.
Read on for more→ https://www.businesswire.com/news/home/20260317314426/en/HPE-Transforms-Distributed-AI-Factories-Into-Intelligent-AI-grid-Powered-by-NVIDIA
IBM And NVIDIA Expand Their Enterprise AI Stack Across Data, Cloud, And Regulated Infrastructure
IBM and NVIDIA announced an expanded collaboration at GTC 2026 to help enterprises operationalize AI at scale, with work spanning GPU-native analytics, intelligent document processing, on-prem deployment, and sovereign/regulatory controls. The companies say the limiting factor is no longer model availability but the data, infrastructure, and governance layers needed to run AI reliably in production. IBM plans to bring NVIDIA Blackwell Ultra GPUs into IBM Cloud and integrate the collaboration into Red Hat AI Factory with NVIDIA so customers can run GPU-heavy AI workloads with enterprise compliance and residency controls.
Read on for more→ https://newsroom.ibm.com/2026-03-16-ibm-and-nvidia-announce-expanded-collaboration-at-gtc-2026-to-advance-ai-for-the-enterprise
Lineaje UnifAI Builds A Security Layer Directly Into The Agentic AI Workflow
Lineaje has introduced UnifAI, an AI security and governance platform that operates as an MCP server and embeds guardrails directly into coding assistants and low-code agentic AI platforms. It automatically discovers AI assets, derives security and compliance policies, and applies threat protections at runtime so teams can secure and govern AI systems before they reach production. Lineaje’s framing is that enterprises need a central command layer for AI governance, not a patchwork of manual controls spread across teams and tools.
Read on for more→ https://www.businesswire.com/news/home/20260318167981/en/Lineaje-Unveils-UnifAI-to-Secure-and-Govern-Agentic-AI
Netris And Spectro Cloud Package A Validated Bare-Metal AI Factory Stack
Netris and Spectro Cloud are combining multi-fabric network automation with PaletteAI lifecycle management to deliver a validated AI factory stack from bare metal to model deployment. The joint solution gives neoclouds, MSPs, sovereign AI providers, and IT service providers a repeatable path to tenant-ready environments, with hardware-enforced multi-tenancy, automated network provisioning, and validated blueprints for AI clusters. The partnership is built around NVIDIA’s AI factory ecosystem and aims to reduce operational risk while speeding day-two operations across Ethernet, InfiniBand, DPU, and NVLink fabrics.
Read on for more→ https://finance.yahoo.com/news/netris-spectro-cloud-deliver-validated-153000509.html
Nutanix Launches Agentic AI To Orchestrate Enterprise AI Factories
Nutanix’s new Agentic AI full-stack software is built to help enterprises securely run and scale thousands of agents while giving platform teams unified control over resources, compliance, and sovereignty requirements. The release includes AI Platform Services and Model-as-a-Service capabilities, integration with NVIDIA AI Enterprise at the Agent Builder layer, and support for MCP servers and fine-tuning so agents can connect to enterprise data and tools. Nutanix is framing the stack as a foundation for AI factories, where infrastructure orchestration and governance matter as much as the models themselves.
Read on for more→ https://www.nutanix.com/press-releases/2026/nutanix-unveils-nutanix-agentic-ai
PwC One Repackages Professional Services Around An AI-Enabled Workbench
PwC One is a new AI-enabled environment that brings together data, workflows, and firm knowledge so practitioners can move from scattered tools to a more unified professional-services workspace. PwC says the goal is to make delivery faster and more consistent by embedding AI into the everyday work of audit, tax, consulting, and deals rather than treating it as a separate assistant. The launch also reflects PwC’s broader push to operationalize AI across a large, highly regulated services organization while keeping human judgment and oversight in the loop.
Read on for more→ https://www.pwc.com/us/en/about-us/newsroom/press-releases/pwc-one.html
R Systems Launches EXIQO To Scale Governed Agentic AI Delivery
R Systems has unveiled EXIQO, an AI Studio that combines its 1,400-plus AI-native engineers, the OptimaAI suite, and a governed execution methodology to accelerate enterprise-scale agentic AI work. The company says EXIQO is already delivering measurable gains in productivity, support overhead, workflow automation, and execution speed in early deployments. R Systems is positioning EXIQO as a way to help enterprises move from isolated AI experiments to orchestrated, production-grade agentic execution with human oversight.
Respan Raises $5M To Turn Agent Observability Into A Closed-Loop Improvement System
Respan has raised $5 million from Gradient, Y Combinator, Hat-Trick Capital, XIAOXIAO FUND, Antigravity Capital, Alpen Capital, and angel investors to expand its proactive AI observability platform. The platform logs full production traces across messages, tool calls, routing decisions, memory, environment state, and outcomes, then uses those signals to evaluate behavior and automatically optimize prompts in production. Respan’s core pitch is that observability should not stop at dashboards; it should generate actions that improve agent reliability and reduce hallucinations and failures over time.
Read on for more→ https://pulse2.com/respan-5-million-raised-for-ai-observability-platform-to-improve-agent-performance/
SAP Concur Fusion Adds AI To Booking, Servicing, And Expense Flows
SAP Concur is rolling out new AI-enabled capabilities for Complete, its co-developed travel and expense solution with American Express Global Business Travel, including AI-assisted travel support with handoff to a live counselor. The update also expands the experience for travel managers with a dedicated home page and deeper integration between Concur Expense and Egencia for global customers. SAP is framing the changes as a way to reduce friction across booking, servicing, payments, and expensing while improving traveler support and manager visibility.
Read on for more→ https://news.sap.com/2026/03/sap-concur-fusion-2026-ai-capabilities-integrated-travel-expense-enhancements-global-partnerships/
Most Companies Are Cutting Hiring For Expected AI Gains Long Before They See The Value
A new report finds that companies are about 30 times more likely to cut or freeze headcount because they expect AI productivity gains than because they have already realized them. Only 2% have made large reductions tied to actual AI impact, while nearly 90% have already reduced or frozen hiring based on anticipated AI value. The same research says measurement discipline is the biggest differentiator: organizations that formally report AI value to boards or investors achieve high value at an 85% rate, versus 15% for those that do not measure or report it.
Supermicro Packages Seven AI Data Platforms Around NVIDIA And Key Ecosystem Vendors
Supermicro has launched seven AI Data Platform solutions built with NVIDIA and partners including Cloudian, DDN, Everpure, IBM, Nutanix, VAST Data, and WEKA. The platforms combine GPU, storage, networking, and software into turnkey stacks aimed at accelerating enterprise AI adoption and helping customers move from reference design to production faster. Supermicro’s pitch is that these integrated systems make AI deployment more turnkey while still leaving room for different storage, data-management, and operating-model choices underneath the rack.
TCS Launches A Dedicated NVIDIA Business Unit For Agentic And Physical AI
TCS has formed a new NVIDIA business unit to accelerate AI adoption across industries using NVIDIA AI Enterprise, NIM microservices, NVIDIA AI Foundry, and Omniverse. The unit is designed to turn domain-specific expertise into production-ready agentic AI and physical AI solutions, with offerings built around curated adoption strategies and TCS’ enterprise delivery model. TCS says the move responds to a lack of consensus on AI adoption strategy by giving customers a more guided path from experimentation to scaled deployment.
Read on for more→ https://www.tcs.com/who-we-are/newsroom/press-release/tcs-launches-nvidia-business-unit-accelerate-ai-adoption-customers-across-industries
Teneo And Thoughtworks Launch An AI-Native Transformation Venture
Teneo and Thoughtworks are starting a new venture to help companies turn AI strategy into operational execution across transformation programs, restructurings, and digital operating model redesign. The venture combines Teneo’s advisory reach with Thoughtworks’ engineering and AI capabilities to design, build, and run AI-powered platforms that deliver business outcomes in weeks and months rather than years. It is explicitly aimed at businesses that need both strategic change management and delivery muscle in a fast-moving AI market.
Read on for more→ https://www.thoughtworks.com/en-us/about-us/news/2026/teneo-and-thoughtworks-launch-new-venture
TrustCloud Launches An AI-Native Security Assurance Platform For CISOs
TrustCloud has launched what it calls the industry’s first AI-native Security Assurance Platform for CISOs, designed to integrate GRC with cybersecurity operations. The platform uses continuous control monitoring, a hybrid data fabric, and hallucination-free Assurance AI tied to a Control Graph so security teams can move from sampling and manual workflows to automated, data-driven assurance. TrustCloud says the result is more accurate risk prioritization, better budgeting decisions, and a stronger operating model for regulated enterprises.
Read on for more→ https://www.trustcloud.ai/press/industrys-first-security-assurance-platform-for-cisos/
ZEDEDA Turns Edge Infrastructure Into A Governed AI Runtime
ZEDEDA has launched what it calls the industry’s first Edge Intelligence Platform, designed to create, secure, and operate edge and physical AI at scale. The platform provides governance, workflows, audit trails, and fleet orchestration so enterprises can deploy AI closer to the real world without relying on the cloud for every decision loop. ZEDEDA is positioning the launch as a response to the limits of cloud-first architectures in latency-sensitive industrial and distributed environments.
Read on for more→ https://finance.yahoo.com/news/zededa-unveils-industry-first-edge-191600769.html
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.
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.
What to Expect at Mini Jam, Q1 2026: The Skills Reckoning on March 31
All-in, Mini Jam Q1, 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. Be sure to register for free at Insight Jam to watch all the sessions live or on demand.
Insight Jam is Getting Set to Host Donald Farmer for the Expert Briefing: The Last Mile to AI & Why Analytics Leadership Matters on March 31
While AI can generate insights at unprecedented speed and scale, it cannot verify those insights against business reality, interpret them within organizational context, or take accountability when decisions go wrong. That responsibility still belongs to people. In this live Insight Jam session, Donald Farmer introduces the concept he calls the last mile: the critical gap between AI-generated output and trustworthy business action.
NEW Episode of The Human Conversation with Doug Atkinson: Why Humans Expertise Still Beats AI Featuring Sam Gupta
Is AI going to eat enterprise software whole, or are companies nowhere near ready to handle what’s coming? Doug sits down with Sam Gupta, founder and CEO of ElevateIQ, to debate the real state of AI adoption in the enterprise. They cover the collapse of legacy ERP, the rise of AI-native platforms like Campfire and Everest, why 95% of companies are more inefficient than they realize, and whether consulting and education can survive the disruption.
Thought Leaders: Cloud AI Innovators Teach Us to Modernize Our Teams, Architecture & Governance by Kevin Petrie
This blog, the second in a two-part series, builds on our earlier profile of organizations that run full AI projects on a single cloud platform. We call them Cloud AI Innovators, and they have a knack for driving business results with production AI. Cloud AI Innovators teach us three guiding principles: (1) foster cross-functional teamwork, (2) streamline architecture, and (3) strengthen governance. Let’s explore each principle in turn.
The Editors Lens: The AI-Native Data Management Stack & How Data Infrastructure is Evolving in Real-Time by Tim King
With the rise of agentic AI systems that rely on continuous access to high-quality, well-structured, and context-rich data, the role of data management is expanding rapidly. Instead of simply storing and delivering data, modern platforms are being re-architected to actively support AI systems that must understand, reason over, and act on that data in real time. In this new paradigm, data management is no longer a back-end function. It is becoming the foundation of enterprise intelligence.
The Editors Lens: The AI-Native Data Protection Stack: How Cyber Resilience is Evolving in Real-Time by Tim King
With the rise of ransomware, increasingly sophisticated cyber threats, and the emergence of AI-driven attacks, the concept of data protection is undergoing a fundamental shift. At the same time, agentic AI systems are beginning to play a larger role in both offense and defense, accelerating the pace at which threats can emerge and propagate. In response, data protection platforms are evolving from reactive recovery systems into proactive, intelligent resilience platforms capable of detecting, responding to, and mitigating threats in real time.
The Editors Lens: The AI-Native Identity Security Stack by William Jepma
Legacy IAM vendors have spent years adding AI capabilities to architectures that were never designed to support them, which is roughly analogous to retrofitting autonomous driving technology onto a vehicle built around a manual transmission. The core assumptions are wrong, and layering intelligence on top of them does not fix that. AI-native platforms started from entirely different assumptions, and that starting point is now a structural competitive advantage.
The Editors Lens: The AI-Native Martech Stack: A Structural Shift, Not a Software Update by William Jepma
The marketing technology landscape has always rewarded speed. Whoever adopts the right infrastructure early tends to compound their advantage over time, while everyone else must retrofit legacy systems to meet new behavioral and algorithmic realities. That dynamic is now accelerating at a pace most organizations are not equipped to handle, because the current wave of AI integration is not a feature drop or a platform upgrade. Instead, it’s more of a structural redesign of what a martech stack is, what it does, and what it should be built around.
Contributor Series: Upskilling n the AI Era by Nexthink’s Meg Donovan
Digital upskilling has never been a straightforward task, but in the era of agentic AI, it has also never been more important. The UK government, for example, has invested millions in providing free training for every adult in the UK, aiming to help 10 million people improve their AI capabilities by 2030.
Contributor Series: Procurement’s AI Advantage: From Months to Minutes by Avetta’s Caldwell Hart
For decades, procurement leaders have been asked to deliver more and drive greater value with less—manage risk, ensure supply continuity, and optimize costs across increasingly complex global networks —yet rarely with the resources they need. While this hasn’t changed in recent years, the speed required and, thankfully, the ability to address the challenge have.
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Insight Jam Launches Mesh Lab Episode 2 to Build a Framework for Work & Learning in the Age of AI: The Human Advantage
Insight Jam Mesh Lab is a year-long, monthly series of expert-led discussions dedicated to exploring and shaping the next generation of frameworks for work and learning in the age of AI. Rather than reacting to tools or trends, Mesh Lab is designed to initiate a sustained, cross-sector conversation about how human capability itself must be re-architected as AI becomes embedded across education, enterprise, and leadership.
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.
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 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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