This list celebrates changemakers creating meaningful impact through leadership, innovation, fresh perspectives, transformative mindsets, and lessons that resonate far beyond the workplace.
It's easy to build an AI agent and even scale them. It's much harder to orchestrate them to drive returns. AI agents need a manager pronto.
Those are the takeaways from Boomi CEO Steve Lucas and IBM's Bruno Aziza, Group VP of Data, BI and AI. Aziza also is a member of IBM Ventures' investment committee.
Both tech leaders spoke at Constellation Research's Connected Enterprise conference where AI agent sprawl and orchestration was a recurring theme.
Constellation Research analysts were split on whether we're in an AI bubble or not, recapped 2025 in AI agents and gave a hint of what's to come in 2026 around decisions, automation and exponential efficiency.
Here's a look at what Constellation Research analysts said about 2025 and 2026 at the opening panel of Connected Enterprise 2025.
Michael Ni
Microsoft said its Dynamics 365 Sales Qualification Agent and Quality Evaluation Agent are generally available with its Sales Close Agent and Sales Research Agent in public preview.
Constellation Analyst Liz Miller sits down with Raju Malhotra, Chief Product & Technology Officer at Certinia, during #Dreamforce 2025. Watch the full interview to discover how AI is redefining professional services, enabling hybrid human-agent collaboration, unlocking value-based pricing, and creating trillion-dollar opportunities for organizations like PwC, Siemens, and Salesforce.
Hear Raju’s vision for autonomous professional services and get strategic advice for driving growth and efficiency in an AI-powered world.
Oracle's Fusion applications business can't compete in buzz or growth rates compared to Oracle Cloud Infrastructure (OCI), but you'd be wise to pay attention to the software plan. Yes Virginia, Oracle is still a software company.
At Dreamforce 2025, Salesforce centered its entire narrative around a single concept: the agentic enterprise. Every announcement, demo, and customer story pointed toward a vision where AI agents drive business operations, decision-making, and collaboration. The company is aligning its products, platform, and partnerships through Agentforce 360, the core of the Salesforce 360 ecosystem that connects people, data, and systems in an intelligent, trusted framework.
Don't look now, but enterprise technology vendors have a new fascination with context engineering to give AI agents the data and insights to go from pilot to production. You can almost see "context" trending as a theme the more enterprise vendors talk.
Elastic on its investor day earlier this month talked extensively about context. Elastic has enterprise search, observability and security platforms that are leveraged to ingest data from multiple sources, process it and create AI agent experiences and workflows.
The big banks and financial giants have reported earnings and across the board they were strong due to increased M&A and trading volume. That said it’s worth noting some key comments about the AI infrastructure buildout. Here’s a look at what financial sector CEOs and CFOs are saying about the AI market.
Goldman Sachs CEO David Solomon said on the company’s fiscal third quarter call:
Hear from Constellation analysts R "Ray" Wang and Liz Miller as they explore how AI and LLMs are transforming content creation, search authority, and brand visibility.
Learn about innovative strategies like generative engine optimization, discover how tools such as Adobe LLM Optimizer can help you stay ahead, and gain actionable advice for navigating today’s rapidly evolving digital landscape. Don’t miss this expert conversation!
Fix Your Blindspots. Unleash RevOps. Scale Smarter. | DisrupTV Ep. 415
This week on DisrupTV, R "Ray" Wang and Vala Afshar caught up with innovators shaping the next chapter of business and technology:
We’re no longer in the “let’s try a model” era. We’ve crossed into the territory of “make the model do your work.” For Oracle, that’s exactly where AI World 2025 landed.
This week, Oracle went beyond unveiling products by doubling down on its brand promise: reduce complexity so enterprises don’t have to stitch the stack. It’s a shift from experimentation to embedding, from model tuning to decision automation.
Infosys and Wipro executives said that enterprises are starting to operationalize artificial intelligence projects, scale agentic AI and build a new software stack as pilots move to production with industries such as banking and financial services leading the way.
Zoho has moved 1.1 million Government of India users to Zoho Workplace in a move that highlights how the vendor, known for its disruptive pricing and reach with smaller enterprises, can scale.
In addition, Zoho, which has more than 130 million users, rolled out a series of AI agents for its collaboration, human resources and customer experience apps across its platform.
Salesforce and Google expanded their existing partnership in a move that brings Google Gemini models to Agentforce 360, integrates Agentforce into Google Workspace for sales and IT service and brings Gemini Enterprise to Slack.
Salesforce executives said that growth is reaccelerating due to Agentforce deployments and it is projecting a long-term revenue target of $60 billion by fiscal 2030 excluding the Informatica purchase. The big question is whether new pricing plans designed to meet customers where they are will drive the growth.
Snowflake and Palantir said they will integrate Snowflake AI Data Cloud with Palantir Foundry and Palantir Artificial Intelligence Platform (AIP).
The two companies said the partnership will enable joint customers to build data pipelines, analytics and AI applications faster. Eaton, which is a power management company, is an early customer of the integration.
Hewlett Packard Enterprise gave an upbeat presentation on taking networking share and capitalizing on the AI infrastructure buildout, but its fiscal 2026 revenue growth forecast was lower than expected.
Oracle CTO Larry Ellison is never short of words. In his annual keynote at Oracle's AI World conference (previously Cloud World), Ellison held court for nearly two hours and riffed on a bevy of big AI ideas.
A good chunk of Ellison's talk revolved around talking up Oracle Cloud Infrastructure's plans for a 1.2 billion-Watt AI Brain, which would be Oracle's largest data center with 500,000 Nvidia GPUs. Ellison also touted Oracle AI Data Platform, which will reason on public and private data.
IBM said it will acquire SAP S/4 HANA services specialist Cognitus in a deal that will expand its SAP AI-driven industry services.
Terms of the deal weren't disclosed.
According to IBM, Cognitus will bring SAP skills in deploying the RISE and GROW programs with SAP as well as software assets. Cognitus, founded in 2002, offers SAP S/4HANA implementation services as well as application maintenance.
Citigroup CEO Jane Frasier said the bank has launched a pilot of AI agents for 5,000 employees. The agentic AI pilot is designed to complete multi-step tasks with a single prompt.
Goldman Sachs CEO David Solomon said the company has launched an initiative dubbed One Goldman Sachs 3.0, which will leverage AI to create a centralized operating model that's more efficient and drive growth.
Speaking on Goldman Sachs fiscal third quarter results, Solomon said:
To Salesforce CEO Marc Benioff context is king and without it agentic AI won't deliver.
In a Dreamforce keynote that highlighted Salesforce's large enterprise Agentforce adopters, Benioff repeatedly came back to context and context engineering, a term that's just gaining some momentum from companies like Elastic and Workday.
"AI alone is not enough. It's not enough just have an LLM. It needs (Agentforce) capabilities to connect it, to give it the context, to give it the guardrails, and all of the critical pieces," said Benioff.
Miro, which provides a visual workspace so teams can collaborate on projects, is looking to ease collaboration between AI and humans. The problem? AI has created "single player AI experiences" that can disrupt collaborative teamwork because people are in silos.