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Pridesys Global LLC.
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Across the globe, enterprise and public-sector organizations are moving to cloud computing for its unparalleled speed, agility, flexibility and cost efficiency. To maximize all that cloud computing has to offer, your organization needs a clear, compelling vision; effective processes, skills and organizational structures; and an airtight security road map that will ensure a smooth transition.For more information visit http://bit.ly/2xuDbMj #iot #cloud #internetofthing #TheInternetOfThings #CloudSetUp
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Big data management is all about mining the information you require in a reliable and efficient way and integrating the data into a single place where it can be accessed and acted upon.
Our engineers are expert in extracting, cleaning, transforming and delivering your source data into a single database where it can be queried.
Your big data can then be understood using informative analytics which will aid business decision-making.To know more, visit:http://bit.ly/2CZiEVC #BigData #analytics #bangladesh #Engineering #information #bigdatamanagement #Dataintegration #businessintelligence #bigdataanalytics — at Pridesys Global LLC.
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Cloud migrations are often more complicated than just a quick lift-and-shift. Our experts have led hundreds of successful cloud migrations, and they will make sure yours is quick, without disruption, and sets you up to reduce costs, automate, and easily take advantage of your data.
Migrations are only the beginning when it comes to your business taking advantage of the cloud. Whatever your business case may be, we’ll help define your cloud roadmap, plan and execute your migration to the cloud, then work with you to take advantage of your new cloud-based solutions.For more informations visit: http://bit.ly/cloud-migrations-services #CloudMigration #SaaS #CloudMigrationServices #cloudservices #cloudstorage #Migration #database #cloud
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In practical terms, deep learning is just a subset of machine learning. It technically is machine learning and functions in a similar way (hence why the terms are sometimes loosely interchanged), but its capabilities are different.
Basic machine learning models do become progressively better at whatever their function is, but they still some guidance. If an ML algorithm returns an inaccurate prediction, then an engineer needs to step in and make adjustments. But with a deep learning model, the algorithms can determine on their own if a prediction is accurate or not.To know more, visit: http://bit.ly/2NxtLK0 #Machinelearning #artificialintelligence #DeepLearning #AI #bigdata #mlalgorithms #datascience #software
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Across the globe, enterprise and public-sector organizations are moving to cloud computing for its unparalleled speed, agility, flexibility and cost efficiency. To maximize all that cloud computing has to offer, your organization needs a clear, compelling vision; effective processes, skills and organizational structures; and an airtight security road map that will ensure a smooth transition.For more information visit http://bit.ly/2xuDbMj #iot #cloud #internetofthing #TheInternetOfThings #CloudSetUp
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The Internet of Things (IoT) industry is the next wave of internet technologies. IoT will fundamentally change how business and manufacturing will be done worldwide. It’s continues to spread across the home and the enterprise, it’s changing how we live and work every day. IoT adoption reached some 43 percent of enterprises worldwide by the end of 2016.For more information visit http://bit.ly/2xuDbMj #iot #cloud #internetofthing #TheInternetOfThings
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Machine learning is a data science technique that allows computers to use existing data to forecast future behaviors, outcomes, and trends. Using machine learning, computers learn without being explicitly programmed.
Machine Learning is a date science technique that allows computers to use existing date to predict future behaviors, outcomes, and trends. By the help of Machine Learning, computers are able to learn without being explicitly programmed.
To know more, visit: http://bit.ly/2NxtLK0 #Machinelearning #artificialintelligence #DeepLearning #AI #bigdata #mlalgorithms #datascience #software
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Most organizations juggle with billions of bytes of data every single day trying to figure out an information management strategy that could fast forward the flow of insights. This expressively complicates their big date solutions, increasing the cost of implementation and upkeep. However, Big Data engineering is not about using every bit of data originating from every source; it is about making the smart decisions that accelerate business growth.
Big Data Engineering services of Pridesys IT Limited enable organizations to conceptualize and implement a well-structured Big Data program across multiple domains and focus areas. We help our clients account for scale and platform readiness while developing Big Data Engineering capabilities to drive vision and value.
To know more, visit:http://bit.ly/2CZiEVC #BigData #analytics #bangladesh #Engineering #information #bigdatamanagement #Dataintegration #businessintelligence #bigdataanalytics
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Cloud migrations are often more complicated than just a quick lift-and-shift. Our experts have led hundreds of successful cloud migrations, and they will make sure yours is quick, without disruption, and sets you up to reduce costs, automate, and easily take advantage of your data. Migrations are only the beginning when it comes to your business taking advantage of the cloud. Whatever your business case may be, we’ll help define your cloud roadmap, plan and execute your migration to the cloud, then work with you to take advantage of your new cloud-based solutions.

Your business-critical applications and databases may need operational support, re-platforming or re-architecting. Or you may be working with difficult data and analytics use cases, with massive data volumes, many data pipelines, or complex environments. Regardless of your reason to migrating to the cloud, our wide range of expertise means you have access to support before, during and after your cloud migration.For more informations visit: http://bit.ly/cloud-migrations-services #CloudMigration #SaaS #CloudMigrationServices #cloudservices #cloudstorage #Migration #database #cloud
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Understanding the latest advancements in artificial intelligence can seem overwhelming, but it really boils down to two concepts you’ve likely heard of before: Machine learning and Deep learning. These terms are often thrown around in ways that can make them seem like interchangeable buzzwords, hence why it’s important to understand the differences.
In practical terms, deep learning is just a subset of machine learning. It technically is machine learning and functions in a similar way (hence why the terms are sometimes loosely interchanged), but its capabilities are different.
Basic machine learning models do become progressively better at whatever their function is, but they still some guidance. If an ML algorithm returns an inaccurate prediction, then an engineer needs to step in and make adjustments. But with a deep learning model, the algorithms can determine on their own if a prediction is accurate or not. For more information visit: http://bit.ly/2NxtLK0 #Machinelearning #artificialintelligence #DeepLearning #AI #bigdata #mlalgorithms #datascience #software
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