Quick Buzz Feed
Solutions Review Executive Editor Tim King curated this list of notable artificial intelligence news for the week of January 23, 2026.
Airbyte joined the Linux Foundationâs new Agentic AI Foundation as a Silver Member, positioning its open data movement platform as a backbone for secure, governed data connectivity in agentic AI systems. The company plans to contribute its connectorâfirst, openâstandards approach to areas like secure data movement, permission and credential handling, and interoperability across agent frameworks so AI agents can reliably access contextual, policyâcontrolled data in real time.
Akkodis is rolling out AIâCore globally as its flagship AI platform, combining multimodal models, automation engines, agentic systems, GenAI, and analytics to accelerate AI, testing, validation, and intelligent data processing across industries like aerospace, automotive, rail, manufacturing, healthcare, defense, and logistics.
Artie delivers production-grade real-time data pipelines as a fully managed product. The platform moves data across systems in real time. For example, streaming changes from Postgres directly into Snowflake so teams can rely on fresh, accurate data without building or maintaining streaming infrastructure.
Balena (known for balenaCloud and balenaOS) secured a strategic growth investment to scale its platform for deploying, monitoring, and updating fleets of Linuxâbased IoT and edge AI devices. The company plans to invest in easier device onboarding, more powerful remote diagnostics, and AIâcentric edge use cases so industrial, retail, and logistics customers can manage thousands of devices as a single softwareâdefined fleet.
BMC announced new AI capabilities across its ControlâM and BMC AMI portfolios, including an AI Workflow Creator copilot that lets business users design complex workflows in natural language and automatically orchestrate tasks across applications, clouds, and AI agents. Additional updates bring eventâdriven workflows that react in real time to Kafka and cloudâqueue events, plus BMC AMI Assistant features like Knowledge Expert Chat and Knowledge Hub.
ConnectWise agreed to acquire zofiQ, an agentic AI company built to automate highâvolume MSP serviceâdesk work by embedding AI agents directly into ConnectWise PSA workflows for triage, resolution, and documentation. Over time, zofiQ will act as a horizontal agentic layer across ConnectWiseâs RMM, cybersecurity, and dataâprotection products, with partners already seeing margin gainsâas much as 30%âby redirecting staff from repetitive tasks to higherâvalue work.
CGI introduced Gemini Enterprise, a framework and set of services that combine Googleâs Gemini models with CGIâs consulting, data, and integration capabilities to build governed agentic AI solutions. The offering focuses on endâtoâend outcomesâfrom useâcase design and data readiness to deployment and MLOpsâso enterprises can move beyond pilots to production agentic AI spanning customer service, operations, and backâoffice workflows.
LatticeFlow AI acquired AI Sonar, an AI discovery platform, to extend its evidenceâbased AI governance stack with onâpremise discovery of models, pipelines, and data assets. The combined offering helps enterprises inventory shadow AI, map risk across deployments, and enforce policies on where and how AI runsâcritical for regulated industries tightening control over generative and predictive AI.
Lighthouse launched LighthouseIQ, a nextâgeneration legal intelligence platform and AI application suite designed to help legal and compliance teams gain earlier insight, improve regulatory defensibility, and cut review costs across massive, complex data sets. Built on its IQ Fabricâcombining largeâscale processing, AI âcognition,â and orchestrationâand already pressureâtested on more than 1.4 billion documents with outputs.
New Relic introduced a specialized observability solution that traces ChatGPTâbased and other LLM apps endâtoâend, from prompts and model calls to downstream services and user experience. Teams can monitor latency, errors, cost, and safety signals in one place, helping them tune prompts, detect regressions, and manage AI usage in production.
Omnion Power named Philip Zuk senior vice president of its AI and data center business, charging him with scaling power solutions tailored for energyâhungry AI and cloud infrastructure. Zuk will focus on highâefficiency power systems, sustainability, and partnerships with data center operators as AI buildâouts drive new requirements for reliability and grid integration.
Qlik added Mark Relph, a senior AWS leader, to its AI Council to advise on cloudânative AI strategy, ecosystem partnerships, and responsible use of generative AI in analytics. His appointment strengthens ties between Qlik and hyperscale cloud platforms as customers push more BI and data integration workloads into the cloud.
Salesforceâs MuleSoft Agent Fabric automatically discovers, catalogs, and governs AI agents and automations across an enterprise integration landscape. It helps teams understand which agents are running where, what systems they touch, and how to apply consistent policies and guardrails to agentic workflows.
ServiceNow has entered a multiâyear agreement with OpenAI to embed frontier models like GPTâ5.2 into the Now Platform so AI agents can understand enterprise workflows, decide what should happen next, and take action endâtoâend inside customersâ secure environments.
Watch this space each week as our editors will share upcoming events, new thought leadership, and the best resources from Insight Jam, Solutions Reviewâs 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.
Artificial intelligence is everywhereâbut understanding its human impact has never been more urgent. Thatâs where Solutions Reviewâs 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 AIâthe 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.
In this fireside chat, an analyst-led discussion will explore how observability has evolved, whether todayâs tools are ready for these new demands, and why observability is becoming essential in the agentic AI era. The session will also highlight how solutions like Impetus Prism help organizations bring observability and cost intelligence together as an enterprise capability.
This webinar examines three structural challenges behind that bottleneck: distributed datasets, heterogeneous environments, and rising expectations for true self-service analytics. We then outline architectural principles that dynamically integrate data, metadata, and analytics to guide wide-ranging business decisions.
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 weâll explore how cloud native architecture is reshaping enterprise IT. Unlike traditional monolithic applications â which are slow to evolve, difficult to scale, and operationally complex â 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.
AI wonât replace you, but it will force you to ask who you want to become. Our expert panel shares practical strategies for reinventing yourself as roles evolve, from writing a letter from your future self to building a team of bots that work for you. The key insight: hold the paradox of excitement and threat without becoming an alarmist or an evangelist.
Policies written once a year canât govern models that change weekly. This panel explores how organizations can build agile, human-centered AI governance that evolves at the speed of innovation, from creating cultures where raising concerns is safe to asking whether weâre even buying technology that aligns with our values. With legal liability on the horizon and AGI potentially months away, the stakes have never been higher.
The skills you learn today will be outdated in six months, so stop upskilling for specific tools and start building adaptability. Our expert panel argues that the âsoft skillsâ of critical thinking, creativity, and resilience are becoming the hardest skills to master, and that leaders must meet their anxious teams with compassion as AI transforms how we work.
AI policies donât fail because theyâre wrong; they fail because theyâre not operational. This panel tackles how to translate responsible AI principles into living behavior across teams, from investing in real credentials to crowdsourcing AI solutions from frontline workers. The Toyota example proves it: empower people to solve their own pain points, and responsible AI becomes a cultural choice, not just a compliance checkbox.
Ethics should move to the left, embedded between ideation and design, not retrofitted after the build is done. Our expert panel shares practical approaches to implementing ethical AI frameworks, from defining what you want not to do as a starting point to giving designers and developers the tools to make good decisions daily. The hardest questions have no clear answers: just because we can doesnât mean we should.
Amid the haphazard rush to artificial intelligence (AI), one cohort of smart adopters deserves a close look: the Cloud AI Innovators. Their cloud-first, converged approach to machine learning and generative AI puts them on the bleeding edge. It also simplifies technical integration work, freeing up energy to define executive leadership, establish business metrics, and push more data into production.
Boards rarely lose confidence in data programs overnight. What I see instead is a slow, almost imperceptible shift. Early curiosity turns into tolerance, and tolerance eventually becomes quiet concern. Nothing dramatic happens, the program doesnât collapse and funding often remains in place. Updates continue to be presented and on the surface, everything looks stable.
What data analytics and AI now make possible is not faster instruction, but better understandingâan ability to observe how learning actually unfolds, where it stalls, and what conditions lead to genuine insight rather than surface-level completion.
For decades, weâve treated school and work like two separate worlds. First you learn, then you earnâmaybe with occasional training sprinkled in when a new tool shows up or a promotion demands it. But that sequence is collapsing. AI is rewriting workflows, unbundling roles into tasks, and shortening the shelf life of what we âknow.â In response, learning is no longer a prerequisite to work. Itâs becoming a property of work.