Remove Cost-Benefit Remove Data Processing Remove Experimentation Remove Testing
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Experimentation and Testing: A Primer

Occam's Razor

This post is a primer on the delightful world of testing and experimentation (A/B, Multivariate, and a new term from me: Experience Testing). Experimentation and testing help us figure out we are wrong, quickly and repeatedly and if you think about it that is a great thing for our customers, and for our employers.

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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

While leaders have some reservations about the benefits of current AI, organizations are actively investing in gen AI deployment, significantly increasing budgets, expanding use cases, and transitioning projects from experimentation to production. 46% of survey respondents in 2024 showed a preference for open source models.

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Amazon OpenSearch Service search enhancements: 2023 roundup

AWS Big Data

However, not all customers who have the opportunity to benefit from k-NN have adopted it, due to the significant engineering effort and resources required to do so. This functionality was initially released as experimental in OpenSearch Service version 2.4, and is now generally available with version 2.9.

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Introducing the vector engine for Amazon OpenSearch Serverless, now in preview

AWS Big Data

Exploring the vector engine’s capabilities Built on OpenSearch Serverless, the vector engine inherits and benefits from its robust architecture. You can choose to host your collection on a public endpoint or within a VPC. Prior to GA, we plan to offer two features that will enable us to reduce the cost of your first collection.

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Six Nudges: Creating A Sense Of Urgency For Higher Conversion Rates!

Occam's Razor

Present a yummy spreadsheet that quantifies the cost of inaction , how much money you’ll lose by not delivering a 25% improvement every week. Yet, this incredible benefit was not a part of YouTube TV’s merchandizing strategy from day one. Social cues (/proof) can help create a sense of urgency for a whole host of companies.

Strategy 124
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Themes and Conferences per Pacoid, Episode 11

Domino Data Lab

Moreover, they can be replaced with machine learning models to improve performance dramatically: “We have demonstrated that machine learned models have the potential to provide significant benefits over state-of-the-art indexes, and we believe this is a fruitful direction for future research.” That represents runtime overhead.

Metadata 105
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Cloud Native vs. Cloud Enabled: What’s the Difference?

Alation

These systems offer numerous web-centric features that bolster customer service and engagement, provide server scalability during periods of fluctuating traffic, and allow easy experimentation with new technologies and promotional strategies. Cloud testing. Optimized business continuity. Cloud performance. Cloud security. Cloud backup.