Source: analyticsinsight.net Today organizations are carrying out more and more data projects that promise great opportunities to drive agility and competence. But they are facing a growing pressure to extract meaningful insights from data. Most of them realize the potential of data science to deliver business value, even some are already investing heavily in data science Read More
Tag: data analysts
Source: beckershospitalreview.com Microsoft announced July 8 a new artificial intelligence tool for its cloud platform Azure that allows developers to analyze unstructured medical data, including clinical notes, clinical trial protocols and medical publications. Microsoft’s Text Analytics for health allows researchers, data analysts and medical professionals to detect words and phrases from unstructured text and connect them to Read More
Source: analyticsinsight.net The uncertainties induced by COVID-19 have created great havoc across different industries. Across the technology sector, the positive impacts are slightly more than negative ones. The pandemic has provided a stage for new-age technologies like data-driven technologies and Artificial Intelligence to prove their value. Owing to the same reason and rising adoption of AI across Read More
Source: Don’t look now, but object stores – those vast repositories of data sitting behind an S3 API – are beginning to resemble databases. They’re obviously still separate categories today, but as the next-generation data architecture takes shape to solve emerging real-time data processing and machine learning challenges, the lines separating things like object stores, Read More
Source: sdtimes.com What is a cloud-native enterprise and how does an enterprise achieve that designation? A cloud-native enterprise is one that specializes in cloud-native development, or development that is optimized for distributed infrastructures. Examples of distributed infrastructures include hybrid clouds — on-premises applications that use products and services from a multitude of sources and applications Read More
Source: batimes.com.ar They beat us at chess and trivia, supplant jobs by the thousands, and are about to be let loose on highways and roads as chauffeurs and couriers. Now, fresh signs of robot supremacy are emerging on Wall Street in the form of machine stock analysts that make more profitable investment choices than humans. Read More
Source: livemint.com NEW YORK : They beat us at chess and trivia, supplant jobs by the thousands, and are about to be let loose on highways and roads as chauffeurs and couriers. Now, fresh signs of robot supremacy are emerging on Wall Street in the form of machine stock analysts that make more profitable investment choices Read More
Source: devops.com Part of the failings and shortcomings of AI concern the ramp or process for getting there. For an AI project to succeed, it is critical to have your data fully deployed, available, structured and cleaned. You also must have some algorithms (ML/deep learning/natural language processing) ready to pull the insights and focused data, Read More
Source – forbes.com When businesses identify a problem that can be solved through machine learning, they brief the data scientists and analysts to create a predictive analytics solution. In many cases, the turnaround time for delivering a solution is pretty long. Even for experienced data scientists, evolving machine learning models that can accurately predict the results Read More
Source – td.org Driving sales takes a lot of hard work. It’s a very time-consuming process, where you have to research potential clients, pitch to prospects, and keep following up with them before you close a deal. Anything that can automate this process will certainly help salespeople close more deals and grow their business faster. The Read More