Andy MacMillan thinks business analysts, not IT and not the vendors, should own the layer where enterprise AI gets its business logic. Joseph Pantone, who started on a Charlotte Pipe plant floor twenty-three years ago and now runs analytics for the company, already does it that way.
At Alteryx Inspire 2026, the company sat journalists at a laptop, opened the product, and allowed time to investigate and find the right answer to a data challenge. The session and an interview with the CPO offered important takeaways about what enterprise data leaders should be looking for, and rarely get.
Celonis today launches the Celonis Context Model and announces an agreement to acquire AI decision intelligence vendor Ikigai Labs. President Carsten Thoma talks us through why this represents a fundamental rethink of what Celonis is for - and why he sees the company as the trusted middle layer enterprise AI buyers are looking for in an increasingly fraught vendor landscape.
Too many systems of...well, what?
Most ERP and other applications vendors are talking up new concepts like Systems of Record. Is there any real insight here or is this just more marketing hyperbole?
An emerging class of data fabrics promises to help automate data integration with and for AI. Bharath Thota, a partner in the Digital & Analytics Practice at Kearney, argues that it might help to reach some consensus on the meaning of the data and establish better guardrails if you want to trust the results.
Ruth Buscombe, Race Strategist, Presenter and AWS Motorsport Ambassador on the new Track Pulse fan tool, what it takes to make decisions under pressure, and why data reliability is the foundation everything else depends on.
Enterprise AI will be "everywhere" - and that suits IBM right down to the ground.
Qlik has made its agentic analytics experience and MCP server generally available, and announced a new ServiceNow partnership at Qlik Connect this week. The reason it holds together has less to do with agents and more to do with a decade of unglamorous governance work.
Planful's Dan Fletcher argues that automating finance teams' operational work — freeing them from compliance and reporting burdens — is the key to unlocking strategic capacity for proactive value creation and business growth.
Smart technology is enabling researchers to harvest and analyze household data to model domestic energy demand and build a more accurate and detailed picture of how, when and why they use it.
Acumatica's Debbie Baldwin outlines what organizations need to implement to deliver AI-powered ERP systems that go beyond record-keeping — adapting to the unique, nuanced workflows of every team member to create a real-time digital replica of the business.
This week - time for a diginomica research reveal: enterprise data health is the topic, and the wake-up call is now. Are context graphs a trillion dollar opportunity - and what we can take from this debate? A couple rants, a few whiffs - and it's another spunky week in the enterprise.
New support for MCP helps connect AI models and assistants to NetSuite data and processes, as customers explore new ways of interacting with business data and apps.
Enterprise technology leaders respond to the Enterprise Data Health Study - and in several cases extend its findings in directions the research didn't fully anticipate.
BT was drowning customers in too much information at a time when they just wanted a simpler approach to getting answers.
