Sat.Sep 13, 2014 - Fri.Sep 19, 2014

article thumbnail

Bandcamp recommendation and discovery algorithms

Data Science and Beyond

This is the third part of a series of posts on my Bandcamp recommendations (BCRecommender) project. Check out the first part for the general motivation behind this project and the second part for the system architecture. The main goal of the BCRecommender project is to help me find music I like. This post discusses the algorithmic approaches I took towards that goal.

article thumbnail

Why are organizations still struggling with their data?

Wise Analytics

This is a question I’ve been asking myself for a while. The data infrastructure exists to support Big Data, operational data streams, data quality practices, and the list goes on. Best practices exist for organizations to follow to achieve a strong information management framework and tie data to business processes enabling decision makers the ability to take actions on the insights they’ve gleaned.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Nutanix – High Availability and Data Protection

Nutanix

There’s no question that enterprise application usability has for the most part been left behind.

article thumbnail

Magnificent Mobile Website And App Analytics: Reports, Metrics, How-to!

Occam's Razor

'Nothing I can tell you about the importance of having an incredible mobile strategy will surprise you. Mobile devices (phones, tablets, wearables) are transforming how we behave, how we buy, how we consume content, and dare I say how we become happy or we become sad. You after all have all of the aforementioned devices, and it is likely that at some level you are looking at traffic to your company's digital existence.

Metrics 141
article thumbnail

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.

article thumbnail

Nutanix High Availability and Continuity – Impact on Ops

Nutanix

There’s no question that enterprise application usability has for the most part been left behind.