Remove 2023 Remove Cost-Benefit Remove Data-driven
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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. times compared to 2023 but forecasts lower increases over the next two to five years. A human-centric approach helps with the change management efforts around using agentic AI while evaluating the benefits and risks.

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What to expect from AI in the enterprise in 2025

CIO Business Intelligence

Large language models (LLMs) are very good at spotting patterns in data of all types, and then creating artefacts in response to user prompts that match these patterns. Despite these limitations and concerns among CIOs over AI costs, real progress has been made this year and we can expect to see this grow further in 2025.

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MongoDB Enhances Developer Data Platform

David Menninger's Analyst Perspectives

Despite all the interest in artificial intelligence (AI) and generative AI (GenAI), ISGs Buyers Guide for Data Platforms serves as a reminder of the ongoing importance of product experience functionality to address adaptability, manageability, reliability and usability. This is especially true for mission-critical workloads.

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Infor’s Velocity Summit Highlights Multiple Advances and Enhancements

David Menninger's Analyst Perspectives

Infor’s Embedded Experiences allows users to create first drafts of text for specific business purposes and summarize insights as well as quickly analyze and interact with data. And its GenAI knowledge hub uses retrieval-augmented generation to provide immediate access to knowledge, potentially from multiple data sources.

Finance 130
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8 top priorities for CIOs in 2023

CIO Business Intelligence

Welcome to 2023. As the economic pendulum shifts to cost control, CIOs will have to find ways to continue achieving the same results but with less margin for error,” he notes. There’s an industry-wide push to reduce technical and data debt and reallocate those resources toward building the future, Conyard says. “CIOs

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Build a high-performance quant research platform with Apache Iceberg

AWS Big Data

In this post, we focus on data management implementation options such as accessing data directly in Amazon Simple Storage Service (Amazon S3), using popular data formats like Parquet, or using open table formats like Iceberg. Data management is the foundation of quantitative research.

Metadata 111
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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. 1) Data Quality Management (DQM). We all gained access to the cloud.