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How to choose the best AI platform

IBM Journey to AI blog

AI platforms offer a wide range of capabilities that can help organizations streamline operations, make data-driven decisions, deploy AI applications effectively and achieve competitive advantages. Some AI platforms also provide advanced AI capabilities, such as natural language processing (NLP) and speech recognition.

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Data architecture strategy for data quality

IBM Journey to AI blog

The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases.

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Getir end-to-end workforce management: Amazon Forecast and AWS Step Functions

AWS Machine Learning Blog

He joined Getir in 2019 and currently works as a Senior Data Science & Analytics Manager. His team is responsible for designing, implementing, and maintaining end-to-end machine learning algorithms and data-driven solutions for Getir. He then joined Getir in 2019 and currently works as Data Science & Analytics Manager.

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Top Predictive Analytics Tools/Platforms (2023)

Marktechpost

IBM merged the critical capabilities of the vendor into its more contemporary Watson Studio running on the IBM Cloud Pak for Data platform as it continues to innovate. The platform makes collaborative data science better for corporate users and simplifies predictive analytics for professional data scientists.

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Demand forecasting at Getir built with Amazon Forecast

AWS Machine Learning Blog

Solution overview Six people from Getir’s data science team and infrastructure team worked together on this project. He joined Getir in 2019 and currently works as a Senior Data Science & Analytics Manager. He then joined Getir in 2019 and currently works as Data Science & Analytics Manager.

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Navigating Data Solutions: CDP, MDM, Lakes, Warehouses, Marts, Feature Stores, ERP”

TransOrg Analytics

In the realm of data management and analytics, businesses face a myriad of options to store, manage, and utilize their data effectively. Understanding their differences, advantages, and ideal use cases is crucial for making informed decisions about your data strategy.

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Popular Data Transformation Tools: Importance and Best Practices

Pickl AI

Introduction Data transformation plays a crucial role in data processing by ensuring that raw data is properly structured and optimised for analysis. Data transformation tools simplify this process by automating data manipulation, making it more efficient and reducing errors.

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