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Get Started With Interactive Weekly Reports For Performance Tracking

datapine

This is where interactive weekly reports come into the picture. Armed with powerful visualizations and real-time data, modern weekly summary reports enable businesses to closely monitor their performance and the progress of their strategies to extract relevant insights and optimize their processes to ensure constant growth.

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Agentic AI design: An architectural case study

CIO Business Intelligence

The analyst firm Forrester named AI agents as one of its top 10 emerging technologies this year and that it will deliver benefits in the next two to five years. Kevin Weil, chief product officer at OpenAI, wants to make it possible to interact with AI in all the ways that you interact with another human being.

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How IT leaders use agentic AI for business workflows

CIO Business Intelligence

Though loosely applied, agentic AI generally refers to granting AI agents more autonomy to optimize tasks and chain together increasingly complex actions. The study found better oversight of business workflows to be the top perceived benefit of it. One area is personalizing on-page digital interactions.

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Your Guide To Modern Agency Analytics, Dashboards & Reporting Techniques

datapine

The answer is modern agency analytics reports and interactive dashboards. Starting with its definition, following with the benefits of agency reports, a list of tools, and a set of agency dashboard examples. Explore our 14 days free trial & benefit from interactive agency reports! Benefits Of A Modern Agency Report.

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From data lakes to insights: dbt adapter for Amazon Athena now supported in dbt Cloud

AWS Big Data

Athena plays a critical role in this ecosystem by providing a serverless, interactive query service that simplifies analyzing vast amounts of data stored in Amazon Simple Storage Service (Amazon S3) using standard SQL. This feature reduces the amount of data scanned by Athena, resulting in faster query performance and lower costs.

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Unlocking the full potential of enterprise AI

CIO Business Intelligence

Research from Gartner, for example, shows that approximately 30% of generative AI (GenAI) will not make it past the proof-of-concept phase by the end of 2025, due to factors including poor data quality, inadequate risk controls, and escalating costs. [1] AI in action The benefits of this approach are clear to see.

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Where CIOs should place their 2025 AI bets

CIO Business Intelligence

CIOs were given significant budgets to improve productivity, cost savings, and competitive advantages with gen AI. CIOs feeling the pressure will likely seek more pragmatic AI applications, platform simplifications, and risk management practices that have short-term benefits while becoming force multipliers to longer-term financial returns.