Sat.Mar 16, 2019

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Top 5 Myths About Data Analytics You Should Stop Believing

Acuvate

Data Analytics in Business. According to Stastia , the global big data market is forecasted to grow to 103 billion U.S. dollars by 2027, more than double its expected market size in 2018. Implemented properly, analytics projects help in effectively capturing and analyzing data to glean insights to analyze how things functioned in the past, while at the same time predicting what business decisions to make in the future.

Data 80
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Uncover Your Customers’ Dreams

Innovation Excellence

I had been offering coach training for 25 years before I finally decided to ask my alumni why they came to me. I was facing a decision to invest in certification and wanted to know if it would make a difference. I found that my customers could easily get traditional training elsewhere. What made them.

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The Good Thing About Bad Ideas

Idea Champions

One of the inevitable things you will hear at a brainstorming session is "there are no bad ideas." Not true. There are plenty of bad ideas. Nazism, for instance. Arena football. Bow ties. What well-meaning "keep hope alive" brainstorming lovers really mean is this: Even bad ideas can lead to good ideas if the idea originators are committed enough to extract the meaning from the "bad".

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Who Needs Ideation Software?

Innovation Excellence

All organisations face one or more challenges they need to tackle. Some have decreasing markets due to the crisis and need to cut costs, while others are looking for other ways to serve existing or new customers. Your organisation is probably also facing a number of challenges. To gather possible solutions for your challenges, crowdsourcing.

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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.