Tag: Power

Feed: Featured Blog Posts - Data Science Central. Author: Kateryna Lytvynova. When you give customers advice that can help them save some money, they will pay you back with loyalty, which is priceless. Interesting fact: Fareboom users started spending twice as much time per session within a month of the release of an airfare price forecasting feature. This tool continues to grow conversion for our partner. Besides travel, price predictions find their application in various scenarios. Commodity traders, investors, construction developers, or energy generators use estimates on future price movements for business purposes. This time we talked with experts from AleaSoft, ENFOR, ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Divya Singh. Data Science, Machine Learning, Deep Learning, and Artificial Intelligence are some of the most heard about buzzwords in the modern analytical eco-space. The exponential growth of technology in this regard has simplified our lives and made us more machine dependent. The astonishing hype surrounding such technologies has prompted professionals from various disciples to hop on to the ship and consider analytics as their career option. To master Data Science or Artificial Intelligence in that regard, one needs a myriad of skills which includes Programming, Mathematics, Statistics, Probability, Machine Learning, ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Divya Singh. Machine Learning is the word of the mouth for everyone involved in the analytics world. Gone are those days of the traditional manual approach of taking key business decisions. Machine Learning is the future and is here to stay. However, the term Machine Learning is not a new one. It was there since the advent of computers but has grown tremendously in the last decade due to the massive amounts of data that’s getting generated, and the enormous computational power that modern-day system possesses. Machine Learning is the art ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Mahesh Kumar CV. Global trends like fuel price fluctuations, geopolitical events and government regulations have a huge impact on the airline industry. In an industry at the mercy of unpredictable trends, it is all the more important for companies to gather, analyze and apply data intelligently to all business processes. Some key use cases where AI will provide tons of value in the aviation industry are as follows: 1. Optimizing MRO via Preventive Maintenance  Material repair and overhaul account for a large part of an airlines’ budget and operational capacity. Typically, ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Richard Charles, PhD. I’m frustrated! Being a Technophile poses several problems that seem to go unaddressed by leaders of the “Big Tech” firms. As the big firms such as Apple, Google and Samsung continue to develop impressively beautiful, technologically capable, faster and yes, addictive technologies, consumers are left with solving a very complex problem. That is, “how does one optimize the use and efficacy of their technology devices?” To answer this question, I must share with you that I have yet to solve the problem. However, my use of my desktop, ... Read More

Feed: R-bloggers. Author: Posts on R Lover ! a programmer. So, a programmer, a frequentist, and a bayesian walk into a bar. No this postisn’t really on the path to some politically incorrect stereotypical humor. Juttrying to make it fun and catch your attention. As the title implies this postis really about applying the differing viewpoints and methodologies inherent inthose approaches to statistics. To be honest I’m not even going to spend a lottime on the details of methods, I want to focus on the conclusions each of thesepeople would draw after analyzing the same data using their favored methods.This ... Read More

Feed: Big Data Made Simple. Author: Megan Ray Nichols. The semiconductor industry has grown exponentially in recent decades, as more devices rely on them to function. Everyone carries around semiconductors in their pocket or purse, in the form of a smartphone or laptop. As the industry continues to change, big data is quickly becoming everyone’s favorite buzzword. How are big data and predictive analytics set to improve the superconductor and electronics industries?The changing digital landscapeThe digital landscape is continually changing and evolving, effectively doubling every two years. As of 2018, internet users numbered in the billions, generating 2.5 quintillion bytes ... Read More

Feed: Planet big data. Author: Fiona Swerdlow. To help retailers and brands plan for 2019, Researcher Claudia Tajima and I are interviewing experts within Forrester for our series, “Applying 2019 Predictions To Retail.” Last week, we spoke to Sam Stern about how employee experience will impact retailers in 2019. This week, Claudia interviewed Michele Goetz, principal analyst on Forrester’s enterprise architecture team and an expert in AI, on her 2019 AI predictions report. Here’s what Michele thinks retailers and brands can expect and should focus on regarding AI in 2019. Claudia: In general, what should be top of mind this year for retailers in terms of artificial intelligence? Michele: Retailers don’t fully realize that they have to do more curation to determine what ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Capri Granville. By Avrim Blum, John Hopcroft, and Ravindran Kannan (2018).  Computer science as an academic discipline began in the 1960s. Emphasis was on programming languages, compilers, operating systems, and the mathematical theory that supported these areas. Courses in theoretical computer science covered finite automata, regular expressions, context-free languages, and computability. In the 1970s, the study of algorithms was added as an important component of theory. The emphasis was on making computers useful. Today, a fundamental change is taking place and the focus is more on applications. There are many reasons ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: melvin-greer; Every sector in the world is currently investigating Artificial intelligence (AI). Groundbreaking advancements in AI will take place in health and life sciences, cyber-intelligence, smart cities and transportation.But before anyone can execute an AI strategy, they’ll need a data strategy. The data strategy behind AI When we think about the vast majority of the work that data scientists do, 85 percent of that work is associated with data governance, cleansing, tagging and classification of data—all elements that are embodied in the concept of a data strategy. Thus, harnessing ... Read More