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EXL orchestrates AI for real business outcomes

CIO Business Intelligence

By combining the flexibility of generative AI systems and LLMs with the accuracy of conventional programming, it helps reduce the compute and storage costs of model re-training and post-processing. Open architecture platform: Building on EXLs deep data management and domain-specific knowledge, EXLerate.AI

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Prioritizing AI investments: Balancing short-term gains with long-term vision

CIO Business Intelligence

If we revisit our durable goods industry example and consider prioritizing data quality through aggregation in a multi-tier architecture and cloud data platform first, we can achieve the prerequisite needed to build data quality and data trust first. through 2030 and clearly, data quality and trust are driving that investment.

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Generative AI: the Shortcut to Digital Modernisation

CIO Business Intelligence

Organisations are shifting workloads to hybrid cloud environments while modernising mainframe systems to serve the most critical applications. However, this migration process may involve data transfer vulnerabilities and potential mishandling of sensitive information and outdated programming languages.

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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. Enterprise applications of conversational AI today leverage responses from either a set of curated answers or results generated from searching a named information resource. GPT stands for generative pre-trained transformer.

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

CIO Business Intelligence

Other typical components required for an enterprise system are access control (so that each user only sees what they are entitled to) and security. We are beginning to see commercial products for LLM Orchestration, as well as commonly used open-source frameworks such as LangChain and LlamaIndex.

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Digital Agility Gets a Boost with Identity Management

Fountainhead

Worse, firms should expect that many of their custom apps will have to work alongside other enterprise apps — e.g., marketing, digital experience, privacy/governance, business systems, and of course, security and analytics. The nature of enterprise systems IAM needs to interface with will always change.

Agile 162
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Top 16 business process management tools

CIO Business Intelligence

Since those early inhouse iterations, BPM systems have evolved into excellent full-fleged platforms for tracking and fine-tuning everything that happens inside an organization, complete with a wide variety of interfaces for working with other standard enterprise systems such as accounting software or assembly line management systems.

Tools 299