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How CareSource ditched its data silos

CIO Business Intelligence

As companies re-evaluate current IT infrastructures and processes with the goal of creating more efficient, resilient, and intuitive enterprise systems, one thing has become very clear: traditional data warehousing architectures that separate data storage from usage are pretty much obsolete.

Data 94
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Generative AI in enterprises: LLM orchestration holds the key to success

CIO Business Intelligence

This orchestration layer amplifies the capabilities of the foundation model by incorporating it into the enterprise infrastructure and adding value. Other typical components required for an enterprise system are access control (so that each user only sees what they are entitled to) and security.

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Digital Agility Gets a Boost with Identity Management

Fountainhead

Plus, it can offer the business better CRM data, a lever for managing data privacy and compliance controls, and (if implemented properly) a consistent context-sensitive security perimeter across all apps/properties. The nature of enterprise systems IAM needs to interface with will always change.

Agile 162
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3 commandments that should drive every API strategy

CIO Business Intelligence

An API-first approach enables organizations to take full advantage of microservices architecture, a variant of service-oriented architecture (SOA), in which applications are structured as collections of loosely coupled services. We are now bringing this approach to the more monolithic enterprise systems.”

Strategy 138
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Connecting Dots between Business Architecture and BPM

Future of CIO

Business Architecture is strategic in that it gives direction to the business while BPM designs, manages and controls processes in the business towards achieving the target state of the business. Enterprise Architecture and BPM need to work closely to be successful. There is certainly a connection between BA and BPM.

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At Black & Veatch, a new IT operating model enables digital opportunities

CIO Business Intelligence

Some of our water clients in that business struggle to use data to manage costs in their water and wastewater treatment facilities. Since the relevant data is spread across multiple sources, leveraging that data is slow and manually intensive. How would you describe your target architecture?

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ChatGPT, the rise of generative AI

CIO Business Intelligence

Five years later, transformer architecture has evolved to create powerful models such as ChatGPT. The frequency of new generative AI releases, the scope of their training data, the number of parameters they are trained on, and the tokens they can take in will continue to increase. GPT stands for generative pre-trained transformer.