Tag: Artificial intelligence

Feed: Featured Blog Posts - Data Science Central. Author: Roman Chuprina. Artificial Intelligence is already impacting Manufacturing, Retail, Marketing, Healthcare, Food industries and more. Today we will take an in-depth look at another industry, that with proper AI expertise from development companies could be disrupted.  Transportation is an industry that helps humanity with moving people their belongings from one location to the other. While doing that, this industry had experienced countless twists, turns, breakthroughs, and setbacks to get to the place where it is now. The year 1787 was the defining one for this industry because steamboat was introduced and ... Read More

Feed: The Connector by Workato. Author: Katharine Marais; The specific outcomes of digital transformation may vary by sector.  Companies in the pharmaceutical, insurance, and hospitality sector are newly able to offer paperless processes with an online, mobile-first mindset. In the financial sector processes are integrated more seamlessly into our everyday lives via mobile data plans and mobile banking (enabled by fintech). And in the retail sector, companies offer incredibly rapid order fulfillment processes. But from a philosophical and technological standpoint, there are many commonalities in the digital transformation process across verticals.  The initiatives involved in digital transformation: Meeting rising customer ... Read More

Feed: SAS Blogs. Author: Todd Wright. A long-held belief in the field of analytics is that only 20% of a person’s time is spent analyzing data – the remaining 80% is devoted to preparing data. It's a sobering statistic to say the least. Even more so as the need to get insights from data in real time rises in importance. To fight fraud, understand customers and evolve to using artificial intelligence, organizations can no longer afford to rely on the IT department to handle data preparation as business users sit and wait. Enter self-service data preparation Thus has been the ... Read More

Feed: Matillion. Author: Andreina Gomez; In 2019,  strategies emerged and shifted for data environments inside of enterprises as companies attempted to break down silos and improve data utilization for better business insights.  But what should data professionals prepare for in 2020 to stay competitive and fuel business growth? Take a look at the video below to hear from experts in the data integration and transformation space from DocuSign, Travis Perkins, and Matillion on the most important trends you’ll see in 2020. Top trends to watch Here are some of the top trends our customers identified as important in 2020: Modernization ... Read More

Feed: Big Data Made Simple. Author: Caleb Danziger. Technology has undoubtedly reshaped almost every part of society, changing how people communicate, travel and live, among other things. It also upended processes and practices in the manufacturing sector, including through these advancements.Artificial intelligence can reduce unplanned downtimeIt wasn’t long ago that artificial intelligence (AI) was something the mainstream public only knew about through science-fiction films and books. They’re now more familiar with it because AI is more accessible and starting to influence all parts of society.The opportunities to use AI in manufacturing are seemingly limitless. One practical application is to deploy a predictive ... Read More

Feed: AWS Government, Education, & Nonprofits Blog. Author: AWS Public Sector Blog Team. University Hospitals of North Midlands Trust’s Breast Care Unit approached Redmoor Health to discuss innovative ways to improve patient engagement. Turning to social media, the Health Innovation Campus at Lancaster University, Redmoor Health, and the National Health Service (NHS), began using Facebook to reach the at-risk demographic (women 49+ years old). Through this collaboration, they saw the number of patients attending vital breast screening appointments increase by 13% – among the best in the country. It soon became clear that people using social media expected round-the-clock responses, ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: ajit jaokar. In the previous post, ten strategies to implement ai on the cloud and edge, I discussed strategies for end to end deployment for machine learning modules. How this relates to Agile? Deployment of AI comes within the scope the normal SDLC (software development lifecycle) So, normal Agile techniques like scrum, sprints, backlog planning, release planning, test driven development and acceptance criteria also apply to deployment of machine learning models in production. However, combining DevOps with development adds an extra level of complexity to machine learning. We need end to ... Read More

Feed: R-bloggers. Author: eoda GmbH. R is one of the leading programming languages for data analysis and data visualization. Unlock the potential of data science in our popular R trainings and learn how to turn data into added value with the open source language. With more than 1,500 satisfied participants, eoda’s R trainings are among the leading courses in the German-speaking world. In April and October 2020, the time has come: We will bring our popular trainings „Introduction to R“ and „Machine Learning with R“ to Berlin and Hamburg. Course contents: Introduction to R With practical tips and exercises, this ... Read More

Feed: R-bloggers. Author: Learning Machines. We already covered the so-called Accuracy-Interpretability Trade-Off which states that oftentimes the more accurate the results of an AI are the harder it is to interpret how it arrived at its conclusions (see also: Learning Data Science: Predicting Income Brackets). This is especially true for Neural Networks: while often delivering outstanding results, they are basically black boxes and notoriously hard to interpret (see also: Understanding the Magic of Neural Networks). There is a new hot area of research to make black-box models interpretable, called Explainable Artificial Intelligence (XAI), if you want to gain some intuition ... Read More

Feed: SAS Blogs. Author: Claudio Broggio. AI innovations range from unique modelling techniques and computer vision efforts to medical diagnostic tools and self-driving cars. Within that wide range of technology, what should you consider patenting? Which of your discoveries are true intellectual property that necessitate protection? A little thought upfront could help you to know what action to take to protect your most valuable innovations. Intellectual property, machine learning and generative adversarial networks Intellectual property and AI Do not doubt that plenty of people are already protecting their artificial intelligence inventions. Since the 1960s, over 300,000 applications for AI-related patents ... Read More