Tag: analytics

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: Emmanuelle Rieuf. This article was written by Swati Kashyap. Swati is a data science & analytics enthusiast. Currently,she is learning data science at Analytics Vidhya. Mathematics & Statistics are the founding steps for data science and machine learning. Most of the successful data scientists I know of, come from one of these areas – computer science, applied mathematics & statistics or economics. If you wish to excel in data science, you must have a good understanding of basic algebra and statistics. However, learning Maths for people not having background in mathematics can be intimidating. First, ... 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: IBM Big Data & Analytics Hub - All Content; Author: vikram-murali; Beyond IBM Cloud Pak for Data, formerly known as IBM Cloud Private for DataLast year, IBM announced IBM Cloud Pak for Data, a robust, end-to-end solution for data and analytic needs within an enterprise. One of its design principles was to help organizations access a vast array of data sources on-premises and in the cloud—all while applying IBM’s deep data management and analytics within a private cloud setting. As a refresher, IBM Cloud Pak for Data is an integrated collection of data and analytics microservices built on a ... Read More

Feed: IBM Big Data & Analytics Hub - All Content; Author: Kapost; Blog Intel's Melvin Greer, Senior Principal Engineer and Chief Data Scientist, Americas writes about the data strategy necessary to execute the promises of AI and touts their collaboration with IBM on Cloud Pak for Data. But before anyone can execute an AI strategy, they’ll need a data strategy ... 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: 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

Feed: What's New. Author: Mary Grace Glascott. Our partnership with Informatica has always been a powerful and symbiotic one. Many of our customers rely on Informatica’s best-in-class data management solutions to connect, prepare, transform, and govern their data pipelines, enabling everyone to have access to trusted data when performing self-service analytics. Many Informatica customers choose Tableau to help make the most out of the data that they’ve integrated and cleansed, analyzing and transforming it to offer powerful insights that help drive the business forward. With Tableau and Informatica together, our joint customers have been able to: Easily integrate hundreds of ... Read More