Smart Data Collective
JULY 2, 2019
Big data is playing a surprisingly important role in the evolution of renewable energy. IBM recently published a fascinating paper on the applications of big data for solar and other green energy sources. Global Experts Weigh in On Renewable Energy Dependence on Big Data.
Smart Data Collective
MAY 21, 2021
Big data technology has already been highly beneficial during the pandemic, particularly with helping healthcare organizations get through some of their most pressing challenges. Big data advances have created many new opportunities with remote work. At the moment, large scale companies like IBM and C3.ai
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BizAcuity
MAY 10, 2022
It is no surprise that almost all large enterprises and SMEs have shifted a part of their operations to the cloud. The cloud market is well on track to reach the expected $495 billion dollar mark by the end of 2022. The transformation the cloud is going to witness in the next decade is beyond what we can all imagine.
Whizlabs
APRIL 19, 2021
It is loud and clear that Cloud Computing is fundamental to the new wave of digital transformation. In the year of 2020, with everyone working from home, better cloud storage and computing strategies have helped many organizations to grow higher while some were struggling to adapt to the changes.
Sisense
JUNE 25, 2020
To this end, the firm now collects and processes information from customers, stores, and even its coffee machines using advanced technologies ranging from cloud computing to the Internet of Things (IoT), AI, and blockchain. The firm’s internal AI platform, which is called Deep Brew, is at the crux of Starbucks’ current data strategy.
Astera
APRIL 10, 2023
In today’s digital landscape, data management has become an essential component for business success. Many organizations recognize the importance of big data analytics, with 72% of them stating that it’s “very important” or “quite important” to accomplish business goals.
Sisense
JULY 22, 2020
Traditionally all this data was stored on-premises, in servers, using databases that many of us will be familiar with, such as SAP, Microsoft Excel , Oracle , Microsoft SQL Server , IBM DB2 , PostgreSQL , MySQL , Teradata. They use an array of tools to help achieve this.
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