1. Smart Meters Citizens of today’s smart cities have increased control over their home utilities due to a connected infrastructure of smart meters. Low-power hardware devices collect electricity, water, and gas consumption data in the cloud, where further analysis and processing can be performed at a large-scale. This enables utility providers to discover consumption patterns, monitor real-time demand and develop… Continue reading 7 Incredible IoT Devices and How They Use Your Data
Tag: Data & AI Strategy
7 Aspects That Make the Cloud a Safer Place for Your Data
An important decision all organizations need to make regarding their data is whether to store it on-premise or to host it in the cloud. As of 2019, more than 94 % of them have found the answer to this question and rely on the cloud for storing their data. Others are still questioning the impact that such a decision… Continue reading 7 Aspects That Make the Cloud a Safer Place for Your Data
Why People Are Excited About Snowflake
Introduction As one of 2020’s most anticipated public listings, Snowflake Inc. started trading on the 16th of September and snatched the title for the largest software IPO ever recorded. With a market valuation of more than 70$ billion, the data warehousing company makes previous record-holders look cheap by comparison. The performance of the company on… Continue reading Why People Are Excited About Snowflake
Cloud Architecture: Build vs. Buy?
What type of organizations should build their own cloud infrastructure, which should go with a platform like Snowflake? Introduction More and more organizations are relying on public cloud services. However, being in the cloud does not mean the same thing for all. Some organizations choose to implement and maintain their own cloud architectures. Others prefer… Continue reading Cloud Architecture: Build vs. Buy?
The Evolution of Data Architecture: Intro
In the beginning, God created the heavens and the earth… which happened to spin off massive amounts of data. Man took that data and started using it to make business decisions. In order to effectively understand the past and make accurate predictions for the future, this data needed to be stored and processed. Thus data… Continue reading The Evolution of Data Architecture: Intro
Off-the-shelf vs Custom Machine Learning Models?
When is building better than buying an off-the-shelf solution? Companies can engage in different approaches to model development. From fully managed ML services, all the way to custom models. Depending on business requirements, available expertise, and planning constraints, they must make a choice: should they develop custom solutions from scratch? Or should they choose an… Continue reading Off-the-shelf vs Custom Machine Learning Models?
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