Wed.Feb 20, 2019

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BOARD Combines Business Intelligence with Planning

David Menninger's Analyst Perspectives

I am happy to share some insight on BOARD drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research.

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On Collaboration Between Data Science, Product, and Engineering Teams

Domino Data Lab

Eugene Mandel , Head of Product at Superconductive Health , recently dropped by Domino HQ to candidly discuss cross-team collaboration within data science. Mandel’s previous leadership roles within data engineering, product, and data science teams at multiple companies provides him with a unique perspective when identifying and addressing potential tension points.

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Towards an Introspective Data Virtualization System

Data Virtualization

To know and knowing to know, that is, one more word for a profoundly different meaning, which introduces that awareness of knowledge, which is a key element for its sharing and, furthermore, the foundation to derive from it that value. The post Towards an Introspective Data Virtualization System appeared first on Data Virtualization and Modern Data Management.

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What Does it Take to be a Cloud Game Changer?

Nutanix

We chatted with several cloud game changers to identify the steps they took to upgrade their IT environment, and we’ve compiled their strategies for success.

IT 20
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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.