Elastic is a search company with a simple goal: to solve the world's data problems with products that delight and inspire. As the creators of the Elastic Stack, we help thousands of organizations including Cisco, eBay, Grab, Goldman Sachs, ING, Microsoft, NASA, The New York Times, Wikipedia, and many more use Elastic to power mission-critical systems. From stock quotes to Twitter streams, Apache logs to WordPress blogs, our products are extending what's possible with data, delivering on the promise that good things come from connecting the dots. We have a distributed team of Elasticians across 30 countries (and counting), and our diverse open source community spans over 100 countries. We are looking for a Senior Engineering Manager to join the machine learning team.
Artificial Intelligence as a breakthrough technology is continuing to transform our lives in myriad ways. From intelligent chatbots capable to answer questions and guide users to virtual assistants responding to our commands for fulfilling tasks to smart and intelligent cars adjusting to typical user preferences, there is a multitude of ways artificial intelligence has penetrated our lives. Naturally, ecommerce cannot be left without reaping the benefits of AI for customer-centric product search, customer support, personalized recommendations, and customer support. Magento as the most popular and widely used ecommerce CMS platform has integrated AI with a whole array of plugins and extensions. If you have a Magento ecommerce store you can easily give your customers sophisticated AI-based shopping experience.
In the decade now drawing to a close, much of the world's business and everyday life became fully digital. But innovation is far from over. The 2020s will see further refinement of established technologies and the practical rollout of new modes, like quantum computing, that are still at the experimental stage. In December 2029, we'll no doubt be remarking on inventions that today we still can't imagine. But for now, here is IBM's preview of the year and decade ahead.
Online commerce giant eBay has relaunched its dedicated mobile app for car sellers and buyers, more than four years after killing the app. The eBay Motors app has been in beta for a few months, and version 1.0 is now live for Android and iOS. The new incarnation sports a number of notable automated features to help people sell their vehicles, including an image-categorization tool that groups photos by type, which was built using Google's AutoML Vision Edge tool for Firebase. The app has also been rebuilt from the ground up using Flutter, Google's open source platform for developing cross-platform apps based on the same codebase. For background, eBay first launched a dedicated mobile app for cars back in 2011, but ended up pulling the app -- alongside three other standalone apps -- in 2015 as it consolidated its services under the main eBay platform.
Amazon SageMaker Ground Truth helps you build highly accurate training datasets for machine learning (ML) quickly. Ground Truth offers easy access to third-party and your own human labelers and provides them with built-in workflows and interfaces for common labeling tasks. Additionally, Ground Truth can lower your labeling costs by up to 70% using automatic labeling, which works by training Ground Truth from data humans have labeled so that the service learns to label data independently. Semantic segmentation is a computer vision ML technique that involves assigning class labels to individual pixels in an image. For example, in video frames captured by a moving vehicle, class labels can include vehicles, pedestrians, roads, traffic signals, buildings, or backgrounds.
Ecommerce has evolved in the last few years and has gone beyond the traditional "Commerce" – the plain buying and selling using the internet. The Ecommerce Industry is focusing on User Experience, Customer Satisfaction, Fulfillment and Customer Satisfaction. This new-age smart and intelligent commerce will be impacted significantly by Artificial Intelligence. Gartner predicts that by 2023, the majority of organizations using AI for digital commerce will achieve at least a 25% improvement in customer satisfaction, revenue or cost reduction. Artificial Intelligence is the ability of a machine to learn and imitate the cognitive thinking and problem-solving capabilities of humans.
In recent years, natural language processing (NLP) has seen quick growth in quality and usability, and this has helped to drive business adoption of artificial intelligence (AI) solutions. In the last few years, researchers have been applying newer deep learning methods to NLP. Data scientists started moving from traditional methods to state-of-the-art (SOTA) deep neural network (DNN) algorithms which use language models pretrained on large text corpora. This repository contains examples and best practices for building NLP systems, provided as Jupyter notebooks and utility functions. The focus of the repository is on state-of-the-art methods and common scenarios that are popular among researchers and practitioners working on problems involving text and language.
Twenty IT leaders look into their crystal balls to predict the technologies and trends that will drive the sector in 2020. CIO Australia asked Australian technology bosses about their top line predictions for 2020, the technologies that will have the greatest impact next year, and what top trends will impact the IT and business landscape. Here are the predictions from IT leaders across vendor land to CIOs and CTOs across a host of industries. Intelligent systems (machine learning, artificial intelligence and automation) are the top trends in 2020. Intelligent systems will have a significant impact on increasing situational awareness (insights) and using these insights to enhance decision making – to deliver optimal outcomes for customers. One large impact on the business landscape will be the expanding role of digital twins – extending beyond the optimisation of individual assets/systems to driving improvements at the organisational level. We are introducing a reference to'Digital Twin of Operations (DTO)' – having recently built some proof of concepts. The DTO brings together inputs from a range of different systems and assets onto a common data & analytics platform; is able to process large-scale and real-time data sets to simulate millions of'what if' scenarios through cloud technologies.
Examples of artificial intelligence (AI) in pop culture usually involve a pack of intelligent robots hell-bent on overthrowing the human race, or at least a fancy theme park. Sentient machines with general artificial intelligence don't yet exist, and they likely won't exist anytime soon, so we're safe... for now. That's not to make light of AI's potential impact on our future. In a recent survey, more than 72% of Americans expressed worry about a future in which machines perform many human jobs. Additionally, tech billionaire Elon Musk, long an advocate for the regulation of artificial intelligence, recently called AI more dangerous than nukes. Whether we realize it or not, artificial intelligence is all around us and playing an active role in our daily lives. Every time we open our Facebook newsfeed, do a Google search, get a product recommendation from Amazon or book a trip online, AI is lurking in the background.