Data Platform Data Science Metadata 
IBM Journey to AI blog
OCTOBER 4, 2023
Typically, on their own, data warehouses can be restricted by high storage costs that limit AI and ML model collaboration and deployments, while data lakes can result in low-performing data science workloads. New insights and relationships are found in this combination. All of this supports the use of AI.
IBM Journey to AI blog
JULY 5, 2023
But what has been clear is that there is an urgent need to modernize these deployments and protect the investment in infrastructure, skills and data held in those systems. In a search for answers, the industry looked at existing data platform technologies and their strengths. Comprehensive data security and data governance (i.e.
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IBM Journey to AI blog
OCTOBER 14, 2024
. “Most data being generated every day is unstructured and presents the biggest new opportunity.” ” We wanted to learn more about what unstructured data has in store for AI. Donahue: We’re beginning to see data science and machine learning engineering teams work more closely with data engineering teams.
IBM Journey to AI blog
JULY 17, 2023
By supporting open-source frameworks and tools for code-based, automated and visual data science capabilities — all in a secure, trusted studio environment — we’re already seeing excitement from companies ready to use both foundation models and machine learning to accomplish key tasks.
IBM Journey to AI blog
JANUARY 5, 2023
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. Perform data quality monitoring based on pre-configured rules.
AWS Machine Learning Blog
OCTOBER 20, 2023
Data lake foundations This module helps data lake admins set up a data lake to ingest data, curate datasets, and use the AWS Lake Formation governance model for managing fine-grained data access across accounts and users using a centralized data catalog, data access policies, and tag-based access controls.
AWS Machine Learning Blog
MAY 15, 2023
Solution overview Six people from Getir’s data science team and infrastructure team worked together on this project. Deep/neural network algorithms also perform very well on sparse data set and in cold-start (new item introduction) scenarios. The following diagram shows the solution’s architecture.
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