OpenAI Academy courses will now be available through Go1, helping HR and L&D teams bring trusted, relevant AI learning to more employees through their existing learning systems.

SAN FRANCISCO, Nov. 4, 2026 /PRNewswire/ — Go1, a global learning and compliance solution that makes workforce learning relevant and measurable, today announced a partnership with OpenAI to help organizations build AI capability at scale. Practical, hands-on courses from OpenAI Academy will be available through Go1’s learning ecosystem, supporting employees and leaders in applying AI to their work.

The partnership builds on Go1’s role as a learning, data and intelligence layer for major HR systems, extending OpenAI Academy courses through the infrastructure employers already use. For HR and L&D teams, it brings trusted AI learning into their existing workforce strategy, making it easier to deliver relevant learning across the organization and understand participation and progress.

“AI adoption is moving quickly, but workforce capability isn’t always keeping pace,” said Chris Eigeland, CEO of Go1. “Organizations need a way to give every employee – not just technical teams—the knowledge and confidence to use AI effectively in their role. Bringing OpenAI Academy learning into Go1 helps HR and L&D leaders turn AI learning into a coordinated, measurable workforce strategy.”

Building AI capability across the workforce 

Organizations are investing in AI technology, but many still lack a consistent approach to preparing their people to use it. Learning is often fragmented across providers and platforms, making it difficult for HR and L&D teams to reach different audiences, measure participation, or understand where capability gaps exist.

OpenAI Academy provides practical AI learning for a range of roles, including knowledge workers, leaders, developers, educators and students. The courses help people apply AI to everyday work, build and evaluate AI-powered products, lead AI adoption, and use AI to support teaching and learning.

Combining foundational knowledge with real-world examples and hands-on application, the courses help people build the skills and confidence to use AI more effectively in their work.

Through Go1, organizations will be able to incorporate OpenAI Academy courses into a broader workforce learning strategy. Employees can access relevant AI learning through familiar systems, while HR and L&D teams gain a clearer view of engagement, learner sentiment, and emerging skill needs.

“We built OpenAI Academy courses by bringing together expertise from our research, product, safety and deployment teams with what we’ve learned helping organizations put AI to work,” said Lois Newman, Customer Education, OpenAI. “Through practice on real tasks and learning tailored to different roles, the courses help people use AI effectively in their day-to-day work and give organizations a shared foundation for adoption across their workforce.”

From AI learning to workforce readiness 

By bringing OpenAI Academy courses into the Go1 ecosystem, organizations can create a shared foundation of AI understanding while supporting the different needs of employees, leaders and technical teams.

“HR and L&D leaders are being asked to prepare the entire workforce for a new way of working,” Eigeland said. “This partnership gives them a practical way to expand access to trusted AI learning, meet people at their level and measure progress over time.”

OpenAI Academy courses will be available through Go1 starting today. To learn more, visit go1.com/openai-academy.

About Go1 
Go1 builds technology around how people learn and work, combining trusted learning and intelligence from the world’s largest learning ecosystem across a portfolio of brands that help organizations develop their people and support workforce progress. 

Its portfolio includes Go1, the trusted learning foundation for a future-ready workforce, and Morgan by Go1, the operator behind workforce enablement. Go1 helps organizations build capable, compliant, and future-ready workforces through the world’s most comprehensive learning ecosystem. Morgan builds on that foundation to surface useful signals and coordinate the action and follow-through that turn learning into measurable workforce progress, while keeping people in control. 

Technology partnerships extend the portfolio’s reach across the HR and learning ecosystem, bringing learning capabilities into the systems organizations already use. More than 11 million learners worldwide use Go1, and the company works with more than 10,000 organizations globally. To learn more, visit Go1.com.

Media Contact
PANBlast for Go1
Zach Weismiller
Go1@panblastpr.com          

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PLANO, Texas, Nov. 4, 2026 /PRNewswire/ — Leading revenue cycle technology company CorroHealth today announced that CEO Pat Leonard has been named to CEO Magazine’s 2026 Executive of the Year Awards, which recognizes the exceptional leaders shaping the future of American business.

Leonard was honored for his strategic vision and operational discipline, building a strong foundation for accelerated growth. He was selected after a thorough nomination and evaluation process, standing out among an outstanding group of executives who are making a significant impact across their organizations and industries.

“A huge congratulations to Pat on being named Executive of the Year by CEO Magazine,” said Becky Blake, Chief People Officer at CorroHealth. “His vision and commitment have transformed our company and pushed healthcare technology forward. This recognition is a testament to the innovation and inspiration he brings to our team, partners, and stakeholders every day.”

CEO Magazine’s Executive of the Year Awards celebrate excellence among senior executives making significant impacts in their fields, from driving business growth and transformation to championing innovation, building high-performing teams and navigating complex markets.

Since 2020, Leonard has led CorroHealth’s operational transformation, establishing the company as a preferred partner in healthcare technology and revenue cycle management by merging clinician-led expertise with proprietary AI-driven technology. Through targeted acquisitions, strategic partnerships, and organic growth, he has expanded the company’s presence to over 10 locations worldwide and further strengthened its position as an industry leader.

To learn more about CorroHealth, visit corrohealth.com.

About CorroHealth
CorroHealth, the leading healthcare technology and revenue cycle management company that helps providers and payers improve financial performance through automation, data-driven analytics, and clinically led expertise. CorroHealth delivers integrated, scalable solutions that support complex reimbursement and documentation workflows, backed by a global workforce operating in more than 10 locations, including the United States, United Kingdom, India, and the United Arab Emirates. The company was recently named one of the “Top Places to Work in Healthcare in 2026” by Becker’s Healthcare and was recognized by the 2026 Inc. 5000 list of America’s fastest-growing private companies. Further information is available at corrohealth.com.

Media Contact:
CorroHealth 
mediarelations@corrohealth.com

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Contextbase keeps semantics, knowledge, memory, traces, and evaluations in one governed system that every agent can read from and write to.

MENLO PARK, Calif., Nov. 4, 2026 /PRNewswire/ — PhoenixAI, the original creator of StarRocks and the agentic AI database company, today launched Contextbase, the context infrastructure for AI agents. The company is unveiling it at NEXT QUERY 2026, its Data + AI Infrastructure Summit. Contextbase stores semantics, knowledge, memory, traces, and evaluations as context in one system, so agents understand, reason, and act better with every run.

An agent only knows what is in its context. What the data means, what the business knows, what earlier runs learned, what this run did and whether it worked all reach the agent as context, or not at all. In most stacks today those pieces live in separate tools: definitions in a semantic layer, documents in a vector store, memory in a memory service, and traces and evaluations in observability tools. Each keeps its own copy and its own permissions.

Contextbase holds all of it in one place. Semantic views of entities, dimensions and metrics, defined by the business in Semantic SQL. Typed, versioned knowledge records such as a spec, an incident review or a playbook, linked to each other. Memory that agents write from earlier work. Traces of every model call and tool call in a run, with prompts, outputs, tokens and cost. And evaluations, from test datasets and eval runs to scores on live traffic.

“An agent is only as good as its context, and today it has to glue that context together from separate systems on every turn. What it gets is partial, inconsistent and often stale,” said James Li, co-founder and CEO of PhoenixAI. “Context is the next great infrastructure layer, and it belongs in one real-time system, where it compounds. Every run makes it better, and every agent you ship makes the next one smarter. That’s the flywheel Contextbase starts.”

Contextbase is built into the PhoenixAI database, so context lives on the same cluster as the business data and one query can reach all of it under one set of permissions. Everything in it is linked, versioned, governed and directly readable by agents. The agent is the non-deterministic part of the system, so the place it reads from is built to be steady: definitions are verified, the system enforces policies, and records are kept as written.

PhoenixAI is building applications on Contextbase, starting with ObserveStack, for tracing and evaluating agents, so teams can see what each run did and score whether it worked, using the same store their agents read from.

Contextbase will be available in private preview on November 4th. Teams can request a free trial today at phoenixdata.ai.

About PhoenixAI
PhoenixAI is the Agentic AI Database, purpose-built to give autonomous AI agents sub-second access to live enterprise data at massive scale. The platform unifies real-time and at-rest data in a single AI-native engine, combining the speed and concurrency that agentic workloads demand with the governance and deployment flexibility enterprises require to put AI into production. PhoenixAI runs in the customer’s own cloud account, or self-managed on the customer’s own private cloud, or on their own hardware, including on-premises. Formerly CelerData, and the creators of the StarRocks open source project, PhoenixAI is headquartered in Menlo Park, California. Learn more at phoenixdata.ai.

Media Contact
Sida Shen
PhoenixAI
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415.259.9104

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