Systems | Development | Analytics | API | Testing

5G Meets Low-code: Innovation Backbone for the Post-COVID World, Part 1

They tell us 5G is the future. Where business and consumers are going. But the fierce battle for early adopters is already underway according to Peter Linder, a notable 5G evangelist and Head of 5G Marketing for Ericsson in North America. “Early adopters are getting on board right now,” says Linder. “About 54 million Americans will purchase a 5G phone by the end of 2021. It’s not like ‘build the network and they will come’.

Introducing Continual - the missing AI layer for the modern data stack

I’m extremely excited to introduce Continual. Continual is the easiest way to maintain predictions – from customer churn to inventory forecasts – directly in your cloud data warehouse. It’s built for modern data teams that want to leverage machine learning to drive revenue, streamline operations, and power innovative products and services without complex engineering.

7 Data Migration Best Practices and Tools

Data migration seems simple from a high-level point of view. After all, you’re simply moving data between two or more locations. In practice, however, migrating data can be one of your IT department’s trickiest data management initiatives. According to LogicWorks, 90 percent of CIOs in charge of data migrations moving from on-premises to the cloud have encountered problems during this process, with 75 percent missing planned deadlines.

Scale-up Mobile UI Tests - Moataz Nabil at Google Cloud Budapest | Bitrise Talks

Join Moataz Nabil for his talk about scale-up mobile UI tests with Firebase Test Lab, Cloud Function and Bitrise! 🚀 This presentation was watched live by attendees at Google Cloud Budapest 2021. At this meetup, attendees talk about interesting case studies and share some tips and tricks on infrastructure, app dev, data engineering, and machine learning. Presenter: Moataz Nabil | Developer Advocate at Bitrise ‎ Thank you for watching! Please feel free to comment your thoughts below.

DataStore vs FeatureStore

I think it’s safe to say that one of the worst things in Machine Learning is the terminology. The maths and statistics are definitely part of the learning curve, but more than that, it feels like you are learning a new language. In some ways, you are. DataStore and FeatureStore are two of the current buzzwords that people are trying to understand. To be fair, DataStore and FeatureStore feel like family rather than strangers.

The Clear SHOW - S02E07 - Manual Orchestration (Pit Stop!)

Before we write the super-easy automation for our feature-store workflow, we have to make sure we all understand how to run a task on a clearml-agent! Join T. Guerre for a quick demo of what ClearML can do for manual orchestration of workflows, once you have used it to manage your experiments! ClearML - Your entire workflow in one MLOps platform

What is Data as a Service (DaaS)?

As the amount of data companies are faced with snowballs, the need for efficient data governance grows. An increasing number of organizations are turning to cloud service providers for data management. In this context, data as a service, often referred to as DaaS, is becoming an essential tool for managing data integration, data storage, and data analytics.

The Ethics of AI Comes Down to Conscious Decisions

This blog post was written by Pedro Pereira as a guest author for Cloudera. Right now, someone somewhere is writing the next fake news story or editing a deepfake video. An authoritarian regime is manipulating an artificial intelligence (AI) system to spy on technology users. No matter how good the intentions behind the development of a technology, someone is bound to corrupt and manipulate it. Big data and AI amplify the problem. “If you have good intentions, you can make it very good.