Smart Data Collective
APRIL 5, 2022
Although SageMaker has become a popular hardware accelerator since it was launched in 2017, there are plenty of other overlooked hardware accelerators on the market. IBM Watson Studio. IBM Watson Studio is a very popular solution for handling machine learning and data science tasks. Neptune.ai. Neptune.AI
Smart Data Collective
MARCH 24, 2020
One poll found that 53% of businesses were using big data analytics in 2017. It doesn’t matter if you have made the most exceptional product or launched the best service. If your customers are not content with your product/service, then you can never reach the heights of success. However, companies need to use big data wisely.
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Smart Data Collective
MAY 31, 2019
IBM and China Construction Bank (CCB) have successfully developed and deployed their first blockchain-enabled bancassurance platform in Hong Kong in September 2017. IBM and CCB’s blockchain solution solves the issue of slow information exchange between banks and insurance companies.
BizAcuity
MAY 10, 2022
IBM had introduced the concept of Virtual Machines (VMs) almost a decade before the birth of the internet. They also prioritize developing multiple internet services. 2005: Microsoft passes internal memo to find solutions that could let users access their services through the internet. The evolution of Cloud Computing.
Domo
NOVEMBER 1, 2017
If you’re going to the event, you’ll be rubbing shoulders with executives from disruptive companies like YouTube, IBM, Uber, and of course, Domo. They’ve all had their fair shares of hits and misses and have come out as some of the most successful and influential leaders in the industry.
Sisense
NOVEMBER 26, 2019
There’s an insane amount of data today and most of it is new — an IBM study from 2017 asserted that 90% of all data had been created in the previous two years. Startups being built today exist entirely on the cloud and are capable of running from anywhere and scaling to support any number of users without human interaction.
Leading Agile
AUGUST 27, 2018
All these details vary by programming language, and good IDEs “know” how to work with projects in the language they were designed to support. Text editors, however configurable they may be, lack this kind of support. IDEs: The Trade-Offs. The trade-offs for integrating numerous functions include: memory footprint.
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