Tag: performance

Feed: Featured Blog Posts - Data Science Central. Author: Laura Jean. Data discovery is a term used to depict the interaction for gathering data from different sources by identifying patterns and variances with the assistance of guided advanced analytics and visual route of data, in this way permitting merging of all business data. Studies recommend that 79% of companies’ heads accept that they don't use big data in the correct manner will lose their position and could at last face termination. Besides, 83% of heads have sought after big data ventures to acquire a serious edge. Indeed, the most ideal ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Joseph McLean. Big data is becoming a much-talked-about phenomenon across different fields, from marketing to IT. There’s an abundance of information on mining data resources, but the effect of analytics is only seen if it can bring meaningful change.  As far as eLearning is concerned, you have to ask yourself what you will do with the charts and stats. If you need to learn how to manage big data in eLearning effectively, here are some tips that you can use. Find resources for your key data. According to the reports of ... Read More

Feed: The Connector by Workato. Author: Jon Gitlin; Buried deep within the 200+ resumes an open job attracts are all-star performers who can elevate your team and the overall performance of your organization.  How can your recruiting team sift through such a high volume of resumes and pinpoint the best candidates, quickly? By automating the screening process. We’ll break down how this type of HR workflow automation can help by walking you through a pair of examples. How automated resume screening can work You can automate this workflow in one of two ways—the approach you choose depends on how much ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Karin Golde. Artificial intelligence (AI) and machine learning have come a long way, both in terms of adoption across the broader technology landscape and the insurance industry specifically. That said, there is still much more territory to cover, helping integral employees like claims adjusters do their jobs better, faster and easier.   Data science is currently being used to uncover insights that claims representatives wouldn’t have found otherwise, which can be extremely valuable. Data science steps in to identify patterns within massive amounts of data that are too large for humans ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Alaa Mahjoub. In many cases, for an enterprise to build its digital business technology platform, it must modernize its traditional data and analytics architecture. A modern data and analytics platform should be built on a services-based principles and architecture. Introduction part 1, provided a conceptual-level reference architecture of a traditional Data and Analytics (D&A) platform. This part, provide a conceptual-level reference architecture of a modern D&A platform. Parts 3 and 4, will explain how these two reference architectures can be used to modernize an existing traditional D&A platform. This will be ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Paul Speciale. The massive and sudden shift to remote work in 2020 that resulted from the pandemic pushed many organizations to ramp up their cloud strategy. The pandemic “validated the cloud’s value proposition,” according to the analysts at Gartner, and nearly 70% of organizations using cloud services today plan to increase their cloud spending as a result. For many organizations, the switch was made quickly just to get something in place – with some taking almost a lift-and-shift approach to the cloud. That will work for the short-term, but now it’s ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Luis. The Time-Series ecosystem Time-series analysis has been studied for more than a hundred years, however, the extraordinary growth of data available from numerous sources and more frequent growth of data alongside the growth of computer power (GPU & Multicore) makes the analysis of large-scale time-series data possible today in a way that was not previously practical. The use of time-series data has been traditionally linked to sectors where time is not just a metric but a primary axis, such as in finance, Industrial IoT, and energy. However, in the last ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: akash. Increased consumption of data, more powerful computing, and the strong inclination towards data-driven decisions in business have made data science a crucial part of today's business environment. According to IBM, there is a huge demand for data scientists and data analysts in the present time. Python and R are the two most popular tools for programming for data science. Python and R both are open-source and free and were developed back in the early 1990s. For practitioners of machine learning and data science, these two tools are absolutely essential. While ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Joshi Shubham. The automated technological enhancement and the edge of AI (Artificial Intelligence) change the scenario of the business like never before. It eliminates the heavy workload of employers and employees. Like due to the implementation of technological things, they can now enjoy their work rather than take the stress of the compilation of the job.  What Is The Meaning Of AI? Artificial Intelligence is a computerized technology that works like a human being but eliminates human errors from the operations. It reduces the workload of the employees and employers. Everything ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Monika Sangwan. Vitalik Buterin (https://vitalik.ca) conceptualized Ethereum (https://ethereum.org) in November, 2013. The core idea proposed was the development of a Turing-complete language that allows the development of arbitrary programs (smart contracts) for blockchain and Decentralized Applications (DApps). This concept is in contrast to Bitcoin, where the scripting language is limited and only allows necessary operations. The EVM is a simple stack-based execution machine that runs bytecode instructions to transform the system state from one state to another. The EVM is a Turing-complete machine but is limited by the amount of gas ... Read More