This list celebrates changemakers creating meaningful impact through leadership, innovation, fresh perspectives, transformative mindsets, and lessons that resonate far beyond the workplace.
Your talent pool is running dry as you freeze hiring, cut workers and worship at the altar of agentic AI utopia. If not careful, enterprises are going to find themselves in a world of hurt and massive experience gaps. Here's an argument for some common sense and nuance to talent planning in the AI age.
Common sense? Puhleeze, you'll say. But I'll argue that common sense is the only way enterprises will manage through a time where you just don't know what you don't know.
And when it comes to the labor market, no one knows much of anything.
Don't miss R "Ray" Wang's keynote highlights at the Indiaspora Global AI Summit.The first movers who adopt this AI revolution, whether agentic or generative, will drive massive change. It's a winner-takes-all market.The problem with AI is that it's capital-intensive, right now, creating a closed system with few players. We have a centralization model rather than a decentralization model. But that is all going to change.
Nutanix is aiming to me more than your VMware replacement option and hyperconverged infrastructure company. The game plan for Nutanix is to be the control plane for AI workloads, containers and traditional virtual machines.
At Nutanix's .NEXT conference, CEO Rajiv Ramaswami used his keynote and investor meeting to argue the company is sitting at the intersection of multiple trends including the need to modernize infrastructure, the ongoing move to the public cloud and a shift to agentic AI.
This is an online copy of our weekly newsletter, written by Constellation's Chief Distiller and Board Advisor Esteban Kolsky, shares curious and interesting insights and data points distilled from enterprise technology to identify what’s notable. If you'd like to get this newsletter in your inbox weekly, Subscribe here.
WD-40 reported its second quarter earnings and most of Wall Street was looking for guidance on how higher oil prices would affect the business. They got a bit of technology insight too.
FedEx Freight is about to become an independent company as it is spun off from FedEx. The technology and AI strategy for FedEx Freight will be to simplify operations, reduce customer friction and create an architecture that can leverage AI today as well as future advances.
At an investor day, FedEx Freight made its debut. FedEx will spin off FedEx Freight, which will become a public company on June 1. FedEx Freight is a less-than-truckload (LTL) company and the separation will enable FedEx to focus on its core air-ground express services and network.
Amazon CEO Andy Jassy penned his 2025 shareholder and outlined why the company is betting so heavily on AI, how its chip business changes AWS economics and the big picture.
Here's a look at the takeaways from Jassy's annual missive.
ServiceNow said it has eliminated AI add-ons and will include AI, data connectivity, workflows and governance into every product with EmployeeWorks driving the interface. Workflow Data Fabric and AI Control Tower will be features of the platform.
The company also rolled out Context Engine, a layer of the Now Platform that connects relationships, policy and decision history of AI agents. ServiceNow will also open its platform with new ServiceNow Build Agent skills so developers can build from any tool and deploy directly in ServiceNow.
Canva has made it clear: it is ready to shake up marketing technology, especially for the small to midsize business market. Already known as a disruptor in visual communications and creative, Canva has announced the pickup of two companies: Simtheory (an AI agent management and collaboration platform) and Ortto (a customer data platform (CDP) and marketing automation play).
Canva said it will acquire Simtheory and Ortto in a move that adds more agentic AI and automation to its platform.
Simtheory provides an AI collaboration and agent management platform. Ortto specializes in customer data and marketing automation. Canva's plan is to expand beyond being a design platform to manage marketing workflows from ideation to campaign management.
Meta has released Muse Spark, a large language model that is purpose-built for Meta's products and first installment of where the company is headed.
In a blog post, Meta said Muse Spark is the first in a family of models developed by Meta Superintelligence Labs. Muse Spark is a multimodal reasoning model that in the big picture represents the direction of Meta's AI unit.
C3 AI said C3 Code is generally available as part of its Spring 2026 release. The product launch is the first since C3 AI announced a broad restructuring that eliminated 26% of its workforce and refocused on its core markets.
The company said C3 Code can autonomously build production enterprise AI applications quickly via natural language. Its autonomous agents can design, configure, test and deploy applications.
Z.ai launched GLM-5.1, its flagship open-source model that claims to outperform OpenAI's GPT-5.4, Anthropic's Opus 4.6 and Google's Gemini 3.1 Pro on SWE Bench Pro benchmarks for software engineering. Z.ai's GML-5.1 is competitive in other areas.
The company's next-gen model is able to perform agentic tasks over longer horizons, breaks complex problems down and improves reasoning over its GLM-5 predecessor.
A fast read on what’s changing—and what it means for leadership. This summary distills the key signals shaping enterprise AI, including uneven value realization, rising costs, and governance pressures. Built for boards and executives who need clarity on where to focus as AI becomes a core operating priority.
The April 2026 Enterprise Technology Intelligence report highlights a critical shift: AI is moving from promise to execution and exposing gaps in cost structures, governance, and architecture.
Anthropic announced Project Glasswing, an effort that aims to use the Claude Mythos Preview model to find and fix software vulnerabilities. The model won't be made generally available but will be shared with more than 40 cybersecurity players to secure AI infrastructure.
The cybersecurity project lands as Anthropic has found that Claude models are better than humans at finding and fixing vulnerabilities. Anthropic noted that Mythos has found vulnerabilities in every browser and operating system.