A fundamental divide between data engineering and business analytics complicates how organizations operate in a rapidly evolving digital environment. Enterprises manage unprecedented volumes of ...
The New York bank's technology leaders have been working to reengineer back-office work and give some of it to Anthropic's Claude generative AI model.
Sasol data lead explains how lakehouse, mesh drive industrial AI success By Nsuku Khosa, ITWeb internJohannesburg, 13 Feb 2026Sivuyise Ndzendze, Sasol. Traditional data warehouses are no longer ...
Process invoices and receipts automatically with n8n plus Unstruct, pulling totals, dates, and names into structured data for reporting.
Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...
The irregular, swirling motion of fluids we call turbulence can be found everywhere, from stirring in a teacup to currents in ...
Explore how data analytics and LLMs identify fairness in justice delivery by analyzing discrepancies in court judgments across India.
A renewed focus on cost control, preparations for new ISO 20022 milestones, and the development of contingency payment systems are all things we can expect to see more of in finance and treasury in ...
Looking at differences in approach, including the varied Zone 2 sessions of top US pros Brandon McNulty and Matteo Jorgenson ...
Generative AI has grown up fast, helping teams explore scenarios, test decisions and learn faster — as long as governance keeps pace with the tech.
Your company culture is the intangible knowledge new employees will absorb over time. But AI agents need all of it, all at once. Here's how to engineer the context.
The jury’s out on screen scraping versus official APIs. And the truth is, any AI agent worth its salt will likely need a mixture of both.
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