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India’s advisory on LLM usage causes consternation

CIO Business Intelligence

The ministry’s reaction, in the form of an advisory issued Friday, has attracted criticism from India’s IT sector because of the restrictions it places on innovation and the compliance risk it places on some enterprises. Are there test cases they have to pass, or assurances given on level of testing and support?”

Testing 122
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6 benefits of data lineage for financial services

IBM Big Data Hub

Because lineage creates an environment where reports and data can be trusted, teams can make more informed decisions. With this expanded observability, incidents can be prevented in the design phase or identified in the implementation and testing phase to reduce maintenance costs and achieve higher productivity. Stakeholders?

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Why you should care about debugging machine learning models

O'Reilly on Data

1] This includes C-suite executives, front-line data scientists, and risk, legal, and compliance personnel. These recommendations are based on our experience, both as a data scientist and as a lawyer, focused on managing the risks of deploying ML. Currency amounts reported in Taiwan dollars. Sensitivity analysis.

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Drug Discovery Needs AI To Discover More Treatments

Smart Data Collective

Phase 0 is the first to involve human testing. Phase I involves dialing-in the proper dosage and further testing in a larger patient pool. In a report on the failure rates of drug discovery efforts between 2013 and 2015, Richard K. Researching and developing new drugs involves multiple steps called “Phases.”

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12 famous ERP disasters, dustups and disappointments

CIO Business Intelligence

Panorama Consulting Solutions, which regularly surveys businesses on the outcomes of their ERP projects, shows in its 2022 report that 81% of projects met ROI expectations a year or more after go-live. While we weren’t naïve to the risk of disruption to the business, the extent and magnitude was greater than we anticipated.”

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Amazon Redshift announcements at AWS re:Invent 2023 to enable analytics on all your data

AWS Big Data

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. With Redshift, we are able to view risk counterparts and data in near real time— instead of on an hourly basis.

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10 Big Data Examples Showing The Great Value of Smart Analytics In Real Life At Restaurants, Bars, and Casinos

datapine

In 2017 the company wanted to take its shopping experience one step further by creating an augmented reality app that allowed users to test a product without having to leave their homes. In 2013, they took a slight risk and introduced a veggie smoothie to their previously fruit-only smoothie menu. Behind the scenes.

Big Data 244