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An Anaplan executive outlined how large language models are altering the structure of enterprise software. The description divides systems into conversational interfaces, deterministic computation engines, and execution layers.
fortune.comThe executive described a three-layer structure. The top layer consists of large language models that process natural language requests. A middle layer performs exact, auditable computations required for enterprise decisions. The bottom layer converts those results into commands for other business systems.
Vendors whose main offering is data visualization or simple query interfaces face reduced demand, according to the executive. Tools that previously made data easier to view or navigate are now competing with language models that can summarize the same information.
Vendors that maintain systems producing identical results from identical inputs may see increased value. The executive listed planning engines, human capital management systems, and customer relationship management systems as examples of products that perform such calculations.
The executive noted that companies with unique computational models on these systems gain an additional advantage. Replicating those models in competing platforms requires more than data transfer and creates a barrier for customers considering alternatives.
The executive added that investment should shift from interface design toward deeper computational capabilities and stronger governance controls.
nypost.comSuper PACs tied to Anthropic and OpenAI have spent more than $37 million on congressional primaries this cycle. The groups have outspent candidates in some races and focused on candidates who back differing approaches to AI regulation.
flipboard.comPresident Trump met Anthropic CEO Dario Amodei at the G7 summit and described talks on restoring access to Fable 5 and Mythos 5 as progressing. The company disabled the models for all users after an administration order to block foreign nationals.
techcentral.co.zaAmazon Web Services is in early talks to sell its Trainium chips outside its own data centers. The move follows statements in Andy Jassy’s April shareholder letter projecting a potential $50 billion annual run rate.