blogs proprietary-analytic-approach-accelerates-time-to-value 
IBM Big Data Hub
APRIL 18, 2024
It cannot only pick up a passenger from the airport and navigate unfamiliar roads but also adapt its conversation in real time. Imagine a world where machines aren’t confined to pre-programmed tasks but operate with human-like autonomy and competence. Imagine a self-driving car piloted by an AGI.
IBM Big Data Hub
JULY 19, 2023
The exponential leap in generative AI is already transforming many industries: optimizing workflows , helping human teams focus on value added tasks and accelerating time to market. Life sciences industry is beginning to take notice and aims to leapfrog the technological advances.
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datapine
MAY 9, 2019
In a world dominated by data, it’s more important than ever for businesses to understand how to extract every drop of value from the raft of digital insights available at their fingertips. When approached correctly, pattern recognition is one of the key hallmarks that distinguishes BI experts from BI amateurs. Learn here!
Sisense
JULY 10, 2019
When we sat down to plan this execution strategy, we realized there were several different ways we could approach it. For us, it was critical to not only do it right so we didn’t waste time and resources but also to deliver a product that would lead our customers into the future and support their needs in the ever-growing cloud environment.
IBM Big Data Hub
OCTOBER 26, 2023
A recent IDC report — The Business Value of IBM Maximo — that surveyed 9 companies with an average of 8,500 employees, found that after these companies adopted IBM Maximo, it resulted in: a business benefit of approximately USD 14.6 million, on average, per year per organization; 43% less unplanned downtime per year; and USD 8.6
IBM Big Data Hub
MARCH 14, 2024
Also, traditional database management tasks, including backups, upgrades and routine maintenance drain valuable time and resources, hindering innovation. By using fit-for-purpose databases, customers can efficiently run workloads, using the appropriate engine at the optimal cost to optimize analytics for the best price-performance.
Cloudera
MARCH 23, 2022
Figure 1: Apache Iceberg fits the next generation data architecture by abstracting storage layer from analytics layer while introducing net new capabilities like time-travel and partition evolution. #1: 1: Multi-function analytics . 1: Multi-function analytics .
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