Artificial Intelligence News for the Week of February 13; Updates from AWS, Cisco, Cloudera & More
Solutions Review Executive Editor Tim King curated this list of notable artificial intelligence news for the week of February 13, 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 February 13, 2026
Allen Institute: Autodiscovery for Safer, Easier Tooling
A new Allen Institute “autodiscovery” framework shows how to automatically discover and register MCP tools and other plugins as typed, schema-based capabilities for LLM agents. It emphasizes transparent composition, security-aware execution across main/HPC/sandbox contexts, and auditable tool use so developers can scale multi-tool, multi-server agents without losing control or explainability.
Read on for more → https://allenai.org/blog/autodiscovery
Anthropic extends MCP with an app framework for full-stack agentic apps
Anthropic is extending the Model Context Protocol beyond simple tool calls with a new app framework that lets developers build full user interfaces and multi-step experiences on top of Claude and MCP servers. The framework turns Claude into more of an app platform, standardizing how agents discover tools, manage state, and drive interactive flows so teams can build richer, more maintainable AI applications instead of ad hoc chatbots.
Read on for more → https://thenewstack.io/anthropic-extends-mcp-with-an-app-framework/
BMC–AWS five-year SCA: Control-M SaaS as an AI-era orchestration backbone
BMC has signed a five-year Strategic Collaboration Agreement with AWS, naming AWS as its preferred cloud for Control‑M SaaS and deepening integration between BMC’s intelligent automation and AWS services. The deal focuses on using BMC’s gen-AI advisor Jett and unified orchestration to modernize and automate data pipelines and application workflows across hybrid and AWS environments, including tighter links with services like Amazon SageMaker for ML and AI workloads.
Read on for more → https://www.bmc.com/newsroom/releases/bmc-announces-five-year-strategic-collaborative-agreement-with-aws.html
Cloudera Extends AI Inference and Unified Data Access Deeper Into the Data Center
Cloudera has expanded Cloudera AI Inference, Cloudera Data Warehouse with Trino, and Cloudera Data Visualization to on-premises environments so customers can run AI and analytics next to their most sensitive data rather than exporting it to public cloud. The updates streamline SSO-based admin, unify access across cloud, edge, and data center, and aim to give enterprises more control, security, and performance for AI workloads that must stay close to regulated or latency-sensitive data.
Read on for more → https://www.cloudera.com/about/news-and-blogs/press-releases/2026-02-09-cloudera-unveils-next-phase-of-ai-inferencing-and-unified-data-access-capabilities.html
Dashlane: MCP Server for Audit Log Access
Dashlane now exposes business audit logs via an MCP server so AI agents and security workflows can safely query credential activity (logins, password changes, sharing events) without giving raw database access. This is designed to plug password telemetry into SIEMs and agentic investigations while keeping logs encrypted and access tightly permissioned.
Read on for more → https://www.dashlane.com/blog/mcp-server-audit-log-access
Deepgram triples default concurrency to power “always-on” voice AI
Deepgram has permanently tripled default concurrency limits across its Voice Agent API, Streaming STT, and TTS services so builders can handle many more simultaneous calls and streams without custom capacity workarounds. Growth Plan customers can reach up to roughly 4.5x their previous default concurrency ceilings, with higher limits available for enterprises, reflecting rising production use of voice agents at scale.
Read on for more → https://deepgram.com/learn/tripling-default-concurrency-to-power-the-voice-ai-economy
DXC: 115,000 employees on Amazon Q and a new practice to scale AI safely
DXC Technology has completed one of the largest enterprise deployments of Amazon Q, rolling it out to 115,000 employees across 70 countries and introducing an internal AI Advisor Agent used by more than 40,000 engineers. Building on this “customer zero” deployment, DXC has launched the DXC Amazon Q Practice, staffed by over 10,000 AWS-certified professionals, to help clients move AI from pilots to production using proven governance models, AWS-native frameworks, and prebuilt, agent-ready solutions.
Read on for more → https://dxc.com/newsroom/02102026-dxc-completes-enterprise-wide-amazon-quick-deployment-launches-new-practice-to-help-accelerate-ai-adoption
Experian + Snowflake AI Data Cloud: Data Quality and Governance Where the Data Lives
Experian has integrated its Aperture Data Studio with Snowflake’s AI Data Cloud so customers can design data quality and governance workflows in Experian while executing them directly inside Snowflake, without moving data. The joint solution lets organizations profile, transform, validate, and catalog data within Snowflake’s secure perimeter, creating a trusted, compliant foundation for AI agents and analytics while unifying data quality and governance efforts at scale.
Read on for more → https://www.experianplc.com/newsroom/press-releases/2026/experian-announces-integration-with-snowflake-s-ai-data-cloud
Hubbl Technologies Raises $6M to Become the “Intelligence Layer” for the Salesforce Agentic Era
Hubbl Technologies has raised $6 million in Series A funding led by Salesforce Ventures to expand its Salesforce ecosystem intelligence platform, which analyzes org metadata and processes to give both humans and AI deep contextual understanding of complex Salesforce environments. With more than 4,000 customers, Hubbl positions itself as critical infrastructure for the “agentic era,” helping clear technical debt and convoluted automations so AI agents can act on CRM data confidently and governance teams retain visibility and control.
Read on for more → https://finance.yahoo.com/news/hubbl-technologies-raises-6m-series-130000129.html
Matia Raises $21M to Unify AI-First Data Operations and Build an “AI Data Engineer”
Matia has closed a $21 million Series A round led by Red Dot Capital Partners, bringing total funding above $31 million to scale its unified, AI-native data operations platform. The platform combines data ingestion, observability, cataloging, reverse ETL/activation, and an emerging AI “data engineer” that can automate pipeline creation, anomaly detection, and impact analysis—helping customers like Lemonade treat data infrastructure with the same reliability expectations as production apps while reducing tool sprawl.
Read on for more → https://finance.yahoo.com/news/matia-raises-21m-series-scale-130000260.html
Nebius to Acquire Tavily, Bringing Agentic Search Into Its AI Cloud Stack
Nebius has agreed to acquire Tavily to embed real-time agentic search into its AI cloud platform so autonomous agents can navigate the web, verify facts, and execute complex tasks without customers stitching together multiple vendors. The deal positions Nebius as a fuller “agentic cloud” platform where vertical AI companies and enterprises can build, tune, and run agents on top-tier NVIDIA GPUs with a native search layer rather than bolt-on infrastructure.
Read on for more → https://www.hpcwire.com/bigdatawire/this-just-in/nebius-to-acquire-tavily-to-add-agentic-search-to-its-ai-cloud-platform/
OPAQUE Raises $24M to Make Confidential AI the “Trust Layer” for Sensitive Enterprise Data
OPAQUE has raised a $24 million Series B round at a $300 million valuation to advance its Confidential AI platform, which provides cryptographic proof that data, models, and agent actions remain private and policy-compliant across AI workflows. By adding verifiable runtime governance on top of existing data controls, OPAQUE aims to help regulated and “sovereign AI” customers move from pilot to production 4–5x faster on their most sensitive datasets.
Read on for more → https://finance.yahoo.com/news/opaque-raises-24m-series-b-120000474.html
Perforce Intelligence: MCP-Enabled AI Across Code, Testing, and Infrastructure
Perforce Intelligence is extending MCP server capabilities across tools like Helix (P4), Puppet, Perfecto, and BlazeMeter so AI agents and copilots can work inside existing DevOps workflows using rich context from code, tests, and infrastructure automation. Rather than replacing established toolchains, the MCP layer feeds enterprise-grade insights to AI—aiming to improve code quality, standardize automation, and reduce risk while accelerating delivery in heavily regulated, complex environments.
Read on for more → https://finance.yahoo.com/news/perforce-ai-products-features-achieve-140000878.html
Planview Connected Work Graph: AI agents that see dependencies before they break delivery
Planview has launched Connected Work Graph, an AI-powered dependency intelligence layer that maps how objectives, initiatives, teams, and resources connect across an enterprise and uses intelligent agents to analyze millions of work relationships in real time. The system surfaces hidden cross-team dependencies, critical path risks, and bottlenecks before they impact delivery and recommends actions—turning static status reporting into a continuously running advisory layer for strategic decisions in product, project, and portfolio work.
Sinch + Lovable: Communications backbone for AI-native applications
Sinch has entered a strategic partnership with Lovable, an AI-native software creation platform, to embed Sinch’s global communications infrastructure directly into the Lovable Cloud. Starting with Mailgun-powered email and expanding to messaging and voice, the partnership positions Sinch as the default, scalable communications layer for AI-native apps built on Lovable, so teams can focus on intelligent experiences while relying on proven omnichannel delivery and compliance.
Read on for more → https://www.prnewswire.com/news-releases/sinch-announces-strategic-partnership-with-lovable-to-power-communications-for-ai-native-applications-302684748.html
Voxel51 FiftyOne: “Curation before annotation” for efficient ML workflows
Voxel51’s FiftyOne platform now tightly integrates data curation, 2D/3D manual annotation, auto-labeling, and error detection so ML teams can focus on labeling the right data instead of over-annotating everything. Features like integrated 2D/3D editing, schema controls, dataset versioning, and ML-backed techniques (embeddings, similarity, “mistakenness” scoring) surface mislabeled or edge-case samples, route them into targeted annotation, and then feed directly into evaluation—creating a feedback loop that steadily improves model quality without tool-switching.
Read on for more → https://voxel51.com/blog/curation-annotation-efficient-ml-workflows-fiftyone
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.
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.
The Digital Analyst with John Santaferraro: The 7 Foundations of AI Success with Shawn Rogers
John welcomes back Sean Rogers, CEO of BARC USA, to break down findings from BARC’s second global AI adoption research study (conducted with the legendary Merv Adrian). Unlike the flood of 2026 predictions, this research offers a fact-based look at what actually happened when enterprises deployed AI over the past 18 months, and what separates the 20% of leaders from everyone else.
Thought Leaders: Reflections from Mesh Lab Episode 1: The Future of Work & Learning by Michelle Ament
We built the wrong systems. I carried this tension into our first Mesh Lab conversation, a year-long expert series hosted by Insight Jam. Six of us from K-12, higher education, and workforce development gathered around one question: What is fundamentally broken in today’s learning frameworks now that AI can generate answers, content, and code on demand?
Thought Leaders: Rise of the Meta Catalog: Integrating Metadata for AI Innovation by Kevin Petrie
The data catalog is like a restaurant menu: it organizes food for AI. But the meta catalog is like DoorDash because it aggregates menus to expand choice and reach. AI adopters now embrace this concept. They combine catalogs into meta catalogs that organize wide-ranging metadata across the enterprise, expanding options and enriching inputs for AI projects. This blog explores new primary research about this trend and assesses the implications for AI innovation.
Contributor Series: Overcoming Employee Resistance to AI by Akhil Verghese
Are your employees resisting the use of AI in your business’s workflows? If so, then you aren’t alone. Many business leaders are encountering difficulties in this area. In my experience helping companies of all kinds implement AI technology, there are a few tried-and-true techniques to overcome this resistance. Here’s how to turn your skeptics into AI adopters.
Contributor Series: The Smartest Browser Yet: The Creepies, Too by Donna Dror
When OpenAI introduced its new Atlas browser, it crossed a threshold the tech industry has been moving toward for years – the shift from tracking what we do online to remembering who we are. Early adoption suggests the product itself is far from a breakout success, traffic is low, and it has yet to demonstrate mainstream appeal. But its significance isn’t in its numbers.
Contributor Series: How AI is Helping Leaders Close the Strategy-Execution Gap by Vic Chynoweth
When OpenAI introduced its new Atlas browser, it crossed a threshold the tech industry has been moving toward for years – the shift from tracking what we do online to remembering who we are. Early adoption suggests the product itself is far from a breakout success, traffic is low, and it has yet to demonstrate mainstream appeal. But its significance isn’t in its numbers.
Contributor Series: Tech’s Generative Search Playbook: If You Want t Be Discovered, Be Helpful by Kevin Cochrane
SEO is dead. At least, that’s what the content marketing crowd on LinkedIn would have us believe. The mass adoption of generative AI is changing the way people seek information online, and marketing teams must adapt or be left behind.
Contributor Series: AI Didn’t Break Us: It Exposed How Disconnected We Already Were by Owen Marcus
The stress patterns emerging today do not look like classic burnout. Many people are still functioning. They are still producing. They are still showing up. What they report instead is irritability, numbness, loss of motivation, and a vague sense of disconnection that is difficult to name. This is not a mindset failure. It is a physiological response to an environment that steadily removes the micro interactions that regulate the nervous system.
Contributor Series: Fixing the Talent Gap in AI: A Skills-First Strategy for Workforce Planning by Vishnu Shankar
Draup’s research shows that reskilling an existing employee is significantly more cost-effective than hiring externally, with total costs estimated to be 23 percent lower. The advantage stems from multiple, mutually reinforcing levers.
Contributor Series: Mirror, Mirror on My Screen: What’s the Human Meant to Be? by Derek Rydall
Since the dawn of civilization, humans have been searching for mirrors. Not just reflective surfaces, but tools that promise to show us who we really are and amplify our power. And every age tells the same cautionary story: the problem has never been the mirror itself. It’s been what we tried to amplify before we understood ourselves.
Solutions Review is Getting Set to Host Nutanix and Northeastern University for the Exclusive Session ‘Cloud-Native for the AI-Powered, Innovation-Ready Enterprise Masterclass’ on February 19
Join us for the Nutanix Cloud Native Masterclass, an exclusive event for C-level executives, where attendees will receive a Certificate of Completion from Northeastern University, recognizing their expertise in cloud native strategies. In this Masterclass we’ll explore how cloud native architecture is reshaping enterprise IT. Unlike traditional monolithic applications — which are slow to evolve, difficult to scale, and operationally complex — cloud native applications are composed of independent, loosely coupled components. Built on microservices, containers, Kubernetes, and API-driven design, they are optimized for dynamic, distributed environments.
Solutions Review is Getting Set to Host Radware for the Exclusive Session ‘Securing Your AI Agents to Embrace Their Full Potential’ on March 5
In the hour-long webinar, the company’s VP of Product Marketing will examine the state of global AI adoption, the concerns it brings, and the tools an organization can and should put in place to utilize the full power of Agentic AI while still protecting its data and business. The conversation will also cover several threats, some of which were discovered and published only latterly.
Insight Jam is Getting Set to Host Donald Farmer for the Expert Briefing: The Last Mile to AI & Why Analytics Leadership Matters on March 19
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.
Insight Jam Launches New “Mesh Lab” to Build a Framework for Work & Learning in the Age of AI
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 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 and leads coverage on data management and analytics. A 2017 and 2018 Most Influential Business Journalist and 2021 "Who's Who" in Data Management, Tim is a recognized industry thought leader and changemaker. Story? Reach him via email at tking@solutionsreview.com.
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