Category Added in a WPeMatico Campaign
TL;DR This is utterly insanely brilliant! We created this video with D-ID in under 5 minutes … here’s how you can do it too … Generate a face at MidjourneyWe used the prompt “perfectly-centered portrait of a male android human robot with blonde hair, center frame!!!, highly detailed, front-facing!!!, professional digital painting, unreal engine 5, …
Data platform architecture has an interesting history. Towards the turn of millennium, enterprises started to realize that the reporting and business intelligence workload required a new solution rather than the transactional applications. A read-optimized platform that can integrate data from multiple applications emerged. It was Datawarehouse. In another decade, the internet and mobile started the …
Read more “Data platform trinity: Competitive or complementary?”
Posted by Jeff Dean, Senior Fellow and SVP of Google Research, on behalf of the Google Research community Today we kick off a series of blog posts about exciting new developments from Google Research. Please keep your eye on this space and look for the title “Google Research, 2022 & Beyond” for more articles in …
Read more “Google Research, 2022 & Beyond: Language, Vision and Generative Models”
Editor’s Note: This is the third and final post in the Passwordless Authentication Series, which shares insights from our journey on enforcing FIDO2 authentication via hardware authenticators (YubiKeys) across all of Palantir. The first post focuses on hardware selection and logistics; the second post covers technical controls, rollout, and edge cases. While Palantir has enforced …
Read more “New Hires, Lost Keys & Lessons Learned (Passwordless Authentication Series, #3)”
A data lakehouse is an emerging data management architecture that improves efficiency and converges data warehouse and data lake capabilities driven by a need to improve efficiency and obtain critical insights faster. Let’s start with why data lakehouses are becoming increasingly important. Why is a data lakehouse architecture becoming increasingly important? To start, many organizations …
Read more “What is an open data lakehouse and why you should care?”
Amazon SageMaker Studio is a fully integrated development environment (IDE) for machine learning (ML) partly based on JupyterLab 3. Studio provides a web-based interface to interactively perform ML development tasks required to prepare data and build, train, and deploy ML models. In Studio, you can load data, adjust ML models, move in between steps to adjust experiments, …
Read more “Set up Amazon SageMaker Studio with Jupyter Lab 3 using the AWS CDK”
In Deloitte’s annual “State of AI in the Enterprise” survey, 94% of business leaders identified AI as critical to their organizations’ success over the next five years. That survey also uncovered a 29% increase in the number of organizations struggling to achieve meaningful AI-driven business outcomes. Part of this challenge lies in the ability to …
They say a house is not a home if there is no one there. Well what good is an advanced virtual space without access to digital assets like 3D chatbots to interact with? 3D chatbots are the bridge between the physical and digital as it grants that human-like connection in addition to providing a more seamless, …
AI image generators have come a long way in recent years. When they first started out, they were quite bad at drawing tents. This was because they could only generate images based on the few examples that they had been given. However, they have since learned how to generalize from these examples and are now …
Solving novel problems and setting a new milestone in competitive programming.