Dona Sarkar argues that most AI failures stem from unclear business objectives and poor data quality rather than limitations in the technology itself.
Cloud Wars
Palantir makes the argument that while some ERP standardization can be beneficial, an over-reliance on it can lead to squandered opportunity with emerging tech.
Palantir challenges traditional ERP and standardization, suggesting an alternate approach in the current economy and age of AI.
The companies that survive disruption are the ones focused on solving problems, not protecting products.
Akrites coordinates disclosure and remediation as discovery of open-source vulnerabilities in the AI Era is outrunning defense.
Enterprise AI growth increasingly depends on implementation expertise rather than model capabilities alone.
Dona Sarkar says AI has yet to find its defining mainstream use case, and the companies preparing now will be best positioned when that breakthrough moment arrives.
Addition to the company’s governance control plan eliminates a wide range of manual steps required to transition an agent from local usage to enterprise availability.
Google Cloud, OpenAI, and Anthropic are investing heavily in deployment capabilities, ecosystems, and forward-deployed engineers to help customers achieve measurable business outcomes and accelerate enterprise AI adoption beyond model selection.
Microsoft modernized employee device procurement with a centralized platform before adding agentic AI, cutting costs by $20M and simplifying the user experience.
Sachin Gandhi outlines how enterprises are scaling AI through a growing ecosystem of first-party, partner, and custom agents across core business functions.
The race to transform enterprises through AI is creating unprecedented demands for deployment expertise, customer success, and organizational change management.
A cautionary look at AI adoption, highlighting how poorly chosen use cases and immature implementations can create more operational disruption than business value.
Yogesh Kasat explains why enterprise AI adoption succeeds when organizations begin with practical use cases, measurable ROI, and hands-on experimentation.
The Hyperscaler Backlog Sweepstakes defines the top AI factories, ranking Google Cloud, Oracle, Microsoft, and AWS in the top four.
Christopher Lochhead explores how AI shifts the future of work from knowledge accumulation to value creation, arguing that success in the AI era depends on using individual strengths to create impact at scale.
The Hyperscaler Backlog Sweepstakes — including Oracle, Microsoft, Google Cloud, and Oracle — have led to a backlog total of $2.1 trillion.
Open Knowledge Format, or OKF, aims to become the MCP of representing knowledge and context so it can be consumed easily by AI agents without a translation layer.
Nick Leamon and Chad Dickerhoff explain how AI sales order agents automate manual workflows, translating customer requests directly into ERP-ready business operations.
OpenAI is accelerating its enterprise AI ambitions with a new partner network, deployment company, and plans to certify 300,000 consultants by year-end.