FAANG - Robotic Content

Reshaping IT automation with IBM Watson Code Assistant

by AI Generated Robotic ContentFAANG May 10, 2023Comments are Disabled

In today’s digital world, business and IT leaders are turning to automation to improve operational efficiency, increase employee productivity and, ultimately, boost business performance. At IBM, we believe that organizations need AI coupled with automation to help developers reduce time to productivity. By empowering employees with automation and AI technologies like machine learning, deep learning, …

Announcing provisioned concurrency for Amazon SageMaker Serverless Inference

by AI Generated Robotic ContentFAANG May 10, 2023Comments are Disabled

Amazon SageMaker Serverless Inference allows you to serve model inference requests in real time without having to explicitly provision compute instances or configure scaling policies to handle traffic variations. You can let AWS handle the undifferentiated heavy lifting of managing the underlying infrastructure and save costs in the process. A Serverless Inference endpoint spins up …

Bringing Google Cloud generative AI to popular workplace apps

by AI Generated Robotic ContentFAANG May 10, 2023Comments are Disabled

Generative AI is poised to transform and streamline many of the most common processes and tasks each of us performs every day at work — like how we communicate, how we analyze data, how we interface with apps, or even how we summarize content and conversations. At Google Cloud, our open approach to generative AI …

The risks and limitations of AI in insurance

by AI Generated Robotic ContentFAANG May 9, 2023Comments are Disabled

Artificial intelligence (AI) is polarizing. It excites the futurist and engenders trepidation in the conservative. In my previous post, I described the different capabilities of both discriminative and generative AI, and sketched a world of opportunities where AI changes the way that insurers and insured would interact. This blog continues the discussion, now investigating the …

Securing MLflow in AWS: Fine-grained access control with AWS native services

by AI Generated Robotic ContentFAANG May 9, 2023Comments are Disabled

With Amazon SageMaker, you can manage the whole end-to-end machine learning (ML) lifecycle. It offers many native capabilities to help manage ML workflows aspects, such as experiment tracking, and model governance via the model registry. This post provides a solution tailored to customers that are already using MLflow, an open-source platform for managing ML workflows. …

GPT-4 creates 1-page marketing plan

by AI Generated Robotic ContentFAANG May 8, 2023Comments are Disabled

TL;RD There is no more excuse not to have a great marketing plan. Prompt: “Craft a marketing plan in the style of Allan Dib’s 1-Page Marketing Plan for our AI blog.” This is the prompt we used – simply replace “AI blog” with your product or service to generate a plan suitable to your product(s) …

Dawn of the Auto Pilot GPT Bots

by AI Generated Robotic ContentFAANG May 6, 2023Comments are Disabled

“In my opinion, AutoGPT / babyAGI / AgentGPT is the real disruption point for the use of AI for complex problem-solving. Keep an eye out for these terms popping up in the news in the coming months.” That’s what Lars said, and rightfully so! Autonomous AI agents will introduce a new world of research and finding …

Build an image search engine with Amazon Kendra and Amazon Rekognition

by AI Generated Robotic ContentFAANG May 6, 2023Comments are Disabled

In this post, we discuss a machine learning (ML) solution for complex image searches using Amazon Kendra and Amazon Rekognition. Specifically, we use the example of architecture diagrams for complex images due to their incorporation of numerous different visual icons and text. With the internet, searching and obtaining an image has never been easier. Most …

Self-Supervised Temporal Analysis of Spatiotemporal Data

by AI Generated Robotic ContentFAANG May 5, 2023Comments are Disabled

*=Equal Contributors There exists a correlation between geospatial activity temporal patterns and type of land use. A novel self-supervised approach is proposed to survey landscape based on activity time series, where time series signal is transformed to frequency domain and compressed into embeddings by a contractive autoencoder, which preserve cyclic temporal patterns observed in time …

Migrating Critical Traffic At Scale with No Downtime — Part 1

by AI Generated Robotic ContentFAANG May 5, 2023Comments are Disabled

Migrating Critical Traffic At Scale with No Downtime — Part 1 Shyam Gala, Javier Fernandez-Ivern, Anup Rokkam Pratap, Devang Shah Hundreds of millions of customers tune into Netflix every day, expecting an uninterrupted and immersive streaming experience. Behind the scenes, a myriad of systems and services are involved in orchestrating the product experience. These backend systems are consistently being …