Tag: Business

Feed: Featured Blog Posts - Data Science Central. Author: Ryan Williamson. Cloud computing has become ubiquitous in today’s fast-paced business environment. When you combine this dynamic technology with DevOps culture, your business transforms in real-time. With benefits like on-demand scalability, quicker run times, consistent codes, and high-performing apps, this game-changing combination can empower your business to become more agile, responsive and swift. If you haven't implemented it yet, here are three big reasons to do it right away: Accelerated Time to Market: Automation is a key driving factor for infrastructure management. It determines the success of a product or service by ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: sairam. Data Science has been coined everywhere, and everybody wants to express their views and thoughts on this subject even though they are a novice or lack adequate knowledge about data science! The idea that everyone can become a data scientist only by studying a few technological advances and solving any complicated problems cripples the world today.  Let us first understand the career perspectives of data science. Data science has three pillars: Business Expert - Data Analyst Technology Expert - Data Engineer Statistics & Algorithm - Data Scientist First, make it ... Read More

Feed: Big Data Made Simple. Author: Pratik Kirve. Tech giants, startups, and food delivery players have been motivated with an aim to build a future in which humans and robots coexist. With labor shortage in restaurants, implementation of food robotics and automation solutions becomes a viable and essential option. These robots can operate around the clock, perform repetitive work, and allow humans to focus on customer service. Various investments have been made by investors and investing firm in the food robotics sector to bring new robots and solutions. These investments will be utilized to expand development team, gain technological know-how, ... Read More

Feed: CIO. Author: . Enterprises worldwide spent a record $34.6 billion on cloud services in 2020's second quarter, up roughly 11 percent from the previous quarter and 30 percent from the same period last year, according to research firm Canalys.What isn't known is how much of that money was wasted due to poor planning, faulty execution, inadequate oversight and internal conflicts, among other causes. Maintaining firm control over cloud spend is essential to curbing waste, says Jimmy Pham, a principal specializing in DevOps, platforms as a service and containers as a service at business advisory firm Booz Allen Hamilton. "Gaining ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Sergey Lukyanchikov. InterSystems IRIS – the All-Purpose Universal Platform for Real-Time AI/ML Author: Sergey Lukyanchikov Challenges of real-time AI/ML computations We will start from the examples that we faced as Data Science practice at InterSystems: A “high-load” customer portal is integrated with an online recommendation system. The plan is to reconfigure promo campaigns at the level of the entire retail network (we will assume that instead of a “flat” promo campaign master there will be used a “segment-tactic” matrix). What will happen to the recommender mechanisms? What will happen to data ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Don Philip Faithful. Ever since I started following stocks again, I have been preoccupied with developing a "game plan" to help prevent me from making emotional investment decisions.  Plans can be improved.  What I have come up with so far is a stress avoidance model to study how different character types might perform in relation to the market.  Since quite a number of investors are actually algorithms - and many trades are algorithmically triggered - the concept of stress needs to be more liberally interpreted.  What "stress avoidance" means to a ... Read More

Feed: R-bloggers. Author: R | Quantum Jitter. [This article was first published on R | Quantum Jitter, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.Reading news articles on the will-they-won’t-they post-Brexit trade negotiations with the EU sees days of optimism jarred by days of gloom. Do negative news articles, when one wants a positive outcome, leave a deeper impression?I wondered if I could get a more objective view from quantitative analysis of textual data ... Read More

Feed: CIO. Author: . Operating in today’s global economy is fraught with uncertainty. Whether it’s competitive, political, an uncontrollable global pandemic, or any number of other dynamics, these days you have to expect the unexpected - and be ready to respond. Some organizations have seen new areas of opportunity, while others are hanging on for dear life.   Businesses have undergone many changes over the last year, but in many respects, the onslaught of COVID-19 has accelerated trends that have been present for several years now.I spent some time recently with Ray Wang, Founder and Principal Researcher at Constellation Research, to ... Read More

Feed: SAS Blogs. Author: Mike Gilliland. The practice of business forecasting falls well short of the potential exhibited in academic research and forecasting competitions. Chris Chatfield* noted this in a 1986 editorial in the International Journal of Forecasting, where he called on statisticians to find a better way of communicating the better use of existing methods to practitioners. Fast forward to 2000, when Michael Lawrence** penned another editorial in the IJF, lamenting the lack of progress toward Chatfield's goal, and deploring the lack of research examining the causes. More recently, Morlidge's studies (cited frequently in this blog), show businesses in ... Read More

Feed: R-bloggers. Author: Gary Hutson. Well, what can I say? It has been a blast over the past year and a half. In my time at the company I have managed to work on a number of fascinating projects, here is a list of just some of them:Data Science Platform – this has been the culmination of lots of machine learning projects, undertaken separately in R and Python, and has allowed for our Healthcare Data Science Platform to be developed. This, alongside skilled data scientists, data engineers and front end developers, we think we have developed something really specialClinical Outcome ... Read More