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EXL orchestrates AI for real business outcomes

CIO Business Intelligence

Without the expertise or resources to experiment with and implement customized initiatives, enterprises often sputter getting projects off the ground. Open architecture platform: Building on EXLs deep data management and domain-specific knowledge, EXLerate.AI Cost and accuracy concerns also hinder adoption.

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CIOs are rethinking how they use public cloud services. Here’s why.

CIO Business Intelligence

The academic community expects data to be close to its high-performance compute resources, so they struggle with these egress fees pretty regularly, he says. Secure storage, together with data transformation, monitoring, auditing, and a compliance layer, increase the complexity of the system. Judes Perry.

Cloud 349
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Strategies for telecom executives: navigating the OPEX conundrum

CIO Business Intelligence

Success in this area has always required structured review, negotiations and tough decisions to manage resources, systems, and vendors. Establishing a system roadmap is a critical component of OPEX efficiency. Third-party support can extend the useful life of your system while avoiding the CAPEX costs and risks of upgrades.

Strategy 219
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The 5 S’s of cyber resilience: How to rethink enterprise data security and management

CIO Business Intelligence

To address these challenges, organizations need to implement a unified data security and management system that delivers consistent backup and recovery performance. Such systems should include global search capabilities for quick resource identification and automated verification of backup recoverability.

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

CIO Business Intelligence

Cloud-based enterprise data platforms like Snowflake, Databricks, AWS Redshift or Azure Data Factory can expose an abstracted semantic model and consumption layer that is business-ready for analytics clients like Power BI and Tableau. A decision made with AI based on bad data is still the same bad decision without it.

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

CIO Business Intelligence

We are also able to move resources more quickly across the enterprise. We have better visibility into our labor supply, skills, and project demands, which has decreased the time we spend on resource utilization. How would you describe your target architecture?

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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. Implementing such a framework requires a seamless connection between user-facing applications like GenAI and back-end systems such as enterprise resource planning (ERP) databases.