ACTIVITIES

05 May 2020, Webinar Aim to Advance with IBM Cloud Pak for Data

Webinar Aim to Advance with IBM Cloud Pak for Data

In general, companies have siloed data, meaning, that it is not centralized and is isolated from other departments. This complicates things when fast and real-time data analytics is needed. In addition, these data are often sensitive and confidential which requires specialized resources in managing them to ensure that it is managed accurately and securely to prevent misuse by unauthorized parties. However, such resources could also incur considerable processing costs.

In response to these challenges, on the 5th of May, Multipolar Technology and IBM held a webinar titled, “Aim to Advance with IBM Cloud Pak for Data”. It explores how IBM Cloud Pak for Data (ICPD) is presented as a data platform that modernizes the way overall company data is collected, organized, and analyzed, as well as application of Artificial Intelligence (AI).

ICPD makes it easier to locate and access data thus increasing productivity and effectivity

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Webinar Aim to Advance with IBM Cloud Pak for Data.

 

Umumnya perusahaan memiliki data yang silo, yang tidak tersentralisasi/tersebar di tiap departemen. Hal ini tentunya menyulitkan saat data dibutuhkan untuk proses analisa lebih lanjut dalam waktu cepat dan real time. Selain itu, seringkali data-data ini merupakan data sensitif dan rahasia, sehingga butuh sumber daya khusus untuk mengelolanya agar bisa mempertahankan keakurasian data dan tidak disalahgunakan pihak yang tidak berwenang, serta biaya pengolahan yang cukup besar.

 

Menjawab tantangan tersebut, 5 May 2020 yang lalu Multipolar Technology bersama IBM menyelenggarakan seminar bertajuk Aim to Advance with IBM Cloud Pak for Data yang mengupas tentang bagaimana IBM Cloud Pak for Data  hadir sebagai platform data yang memodernisasi cara pengumpulan, pengorganisasian, analisa keseluruhan data perusahaan dan pengaplikasian Artificial Intelligence (AI). ICPD memudahkan untuk menemukan dan mengakses data sehingga mampu meningkatkan produktivitas dan lebih efektif.