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SoftBank Selects Cloudera Data Platform to Leverage Customer Intelligence While Ensuring Data Security

Cloudera

One of the worst-kept secrets among data scientists and AI engineers is that no one starts a new project from scratch. As a result, data scientists will often begin a project by developing an understanding of the data and the problem space and will then go out and find an example that is closest to what they are trying to accomplish.

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SoftBank Selects Cloudera Data Platform to Leverage Customer Intelligence While Ensuring Data Security

Cloudera

The company also provides a variety of solutions for enterprises, including data centers, cloud, security, global, artificial intelligence (AI), IoT, and digital marketing services. Supporting Data Access to Achieve Data-Driven Innovation Due to the spread of COVID-19, demand for digital services has increased at SoftBank.

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Data News — Week 24.16

Christophe Blefari

easy ( credits ) Hey, new Friday, new Data News. This blog shows how you can use Gen AI to evaluate inputs like translations with added reasons. How we build Slack AI to be secure and private — How Slack uses VPC and Amazon SageMaker with your data secured and private. Is SQLMesh the dbt Core 2.0 ?

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Recognizing Organizations Leading the Way in Data Security & Governance

Cloudera

The right set of tools helps businesses utilize data to drive insights and value. But balancing a strong layer of security and governance with easy access to data for all users is no easy task. Retrofitting existing solutions to ever-changing policy and security demands is one option. Telkomsel: Improved decision-making.

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Data security vs usability: you can have it all

Cloudera

Just like when it comes to data access in business. Enabling data access for end-users so they can drive insight and business value is a typical area of compromise between IT and users. Data access can either be very secure but restrictive or very open yet risky. Balancing security and useability.

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How DoorDash Secures Data Transfer Between Cloud and On-Premise Data Centers

DoorDash Engineering

As DoorDash’s business grows, engineers strive for a better network infrastructure to ensure more third-party services could be integrated into our system while keeping data securely transmitted. The data transfer between DoorDash and payment processors needs to be encrypted to protect customers’ privacy and sensitive data.

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Striim Cloud for Application Integration

Striim

Introducing Striim Cloud for Application Integration: A fully managed, simple, and scalable SaaS service for application connectors. With this new application integration service, users can stream real-time CRM, ERP, Billing, and Payment data from their cloud applications to data warehouses in minutes with zero coding.

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