AI

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Related to Big Data: Big Data analytics

AI

The two-character ISO 3166 country code for ANGUILLAAI.

AI

1. ISO 3166-1 alpha-2 code for French Afars and Issas before it changed its name to Djibouti. This was the code used in international transactions to and from bank accounts in the territory.

2. ISO 3166-2 geocode for French Afars and Issas. This was used as an international standard for shipping to French Afars and Issas.

In both cases, the code is obsolete.
References in periodicals archive ?
The Bahri Big Data Forum kicked off with a welcome address by Mohammed Al-Sarhan, Vice-Chairman of Bahri, and featured presentations and talks by a host of company heads and industry professionals including Remi Eriksen, Group President and CEO of DNV GL; Dr.
Oracle is unveiling Oracle Analytics Cloud, Data Lake Edition, which unlocks Big Data analytics at scale on Oracle Big Data Cloud and Apache Spark.
Most of the major vendors in the global big data analytics in healthcare market are actively focused on enhancing their offerings to meet the surging demand for advanced healthcare solutions.
Increasing advisor functionality with a Big Data solution: perhaps the most popular way that Big Data can help wealth managers is by decreasing the amount of time advisors spend on manual data entry tasks.
Big data is anticipated to make important contributions in the audit field.
With increasing adoption of population health and big data analytics, we are seeing greater variety of data by combining habitual clinical and executive data with unstructured notes, socioeconomic data, and societal media data.
Pilot big data initiatives to validate value and requirements to encourage big data adoption
Right from the pilot phase of a big data initiative, automation processes must be put in place to ensure that data from across multiple sources can be seamlessly ingested.
John Mancini, president of AIIM International, says that the notion of Big Data being mainstream by 2016 is conceptually right.
Perceived benefits of big data services in terms of cost reduction, increased revenue and better decision making;
Big data projects appear to be receiving less spending priority than competing IT initiatives.