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Source: timesofmalta.com Data is everywhere. The amount of global information is growing at an exponential rate. The International Data Corporation forecasts that by 2025, the global datasphere will grow to around 160 zettabytes (that is a trillion gigabytes); over 10 times the amount of data generated in 2016. Traditionally, data was structured and neatly organised Read More
Source: zdnet.com Organisations continue to collect more data than ever before. While the IT department is often responsible for establishing how data is collected, it will be the task of a range of people from across the business to exploit this information. But tech analyst Gartner estimates 50% of organisations lack sufficient data literacy skills to make Read More
Source: analyticsinsight.net Today, with the increasing volume of data day by day, processing and analysis of that data have become significant. This is where data scientists come into the scenario, determining the right data sets and variables and deriving actionable insights from that. Data scientists are analytical data experts and their roles can vary organization to organization Read More
Source: hedgeweek.com RL One is a long/short strategy that generates returns through deep reinforcement learning, a category of machine learning that reacts and learns from its environment by determining which decision will result in the highest risk/reward trade-off. The reinforcement learning model predicts optimal long or short exposure to the S&P 500 Index on a Read More
Source: retaildive.com Artificial intelligence (AI) and machine learning (ML) are all the rage in retail marketing, mainly because of new challenges caused by high-dimensional data sources that were largely unheard of a few years ago. While exceptionally powerful, AI and ML are not without their criticisms, which include solution complexity, believing they can solve all Read More
Source: analyticsindiamag.com Data is the new oil for businesses, and therefore data science has emerged to be arguably one of the most preferred jobs of this decade. Data science is a competitive weapon and businesses of all sizes have been scrambling to find top talents. Therefore, the demand for data scientists is way higher than Read More
Source: analyticsinsight.net The explosion of Big data has resulted in many new opportunities for the organizations leading to a rapidly increasing demand for consumption at various levels. The big data applications are generating an enormous amount of data every day and creating scope for analysis of these datasets leading to better and smarter decisions. These Read More
Source – forbes.com You may have heard about deep learning and felt like it was an area of data science that is incredibly intimidating. How could you possibly get machines to learn like humans? And, an even scarier notion for some, why would we want machines to exhibit human-like behavior? Here, we look at 10 examples Read More
Source – forbes.com In retail, supply chain efficiency is essential. Inventory management, picking, packing and shipping are all time and resource-intensive processes which can have a dramatic impact on a business’s bottom line. The problem is these are complex processes, particularly when it comes to large scale operations covering multiple outlets and territories. The fact they Read More
