Tag: analytics

Feed: Featured Blog Posts - Data Science Central. Author: William Vorhies. Summary:  Just how much should you trust your AI systems?  Best practice points to constant review, strong governance, and the willingness to override results that seem illogical. Just how much do you trust your AI?  This is not intended to be the skeptical consumer view about bias or black box outcomes.  It’s intended to see if leaders in actual implementation see AI through proverbial rose colored glasses or whether and how much skepticism they think is warranted. As a source, I love these very professionally done surveys of AI ... Read More

Feed: AWS Partner Network (APN) Blog. Author: Derek Belt. The AWS Partner Network (APN) is the global partner program for Amazon Web Services (AWS). We enable APN Partners to build, market, and sell their AWS-based offerings, and we help customers identify top APN Partners that can deliver on core business objectives.To receive APN program designations such as AWS Competency, AWS Managed Services Provider (MSP), and AWS Service Delivery, organizations must undergo rigorous technical validation and assessment of their AWS solutions and practices. These designations help customers team up with specialized APN Partners that can provide value-added services and solutions. Guidance from these ... Read More

Feed: MemSQL Blog. Author: Rick Negrin. There is a trend in industry which says that modern applications need to be built on top of one or more special-purpose databases. That every application benefits from using the best-of-breed technology for each requirement. And that the plethora of special-purpose options available from certain cloud providers is reasonable to manage. That’s all BUNK. The reality is that navigating the choices, figuring out how to use them effectively, and dealing with the ETL and inevitable data sprawl, is so difficult that the pain far outweighs any technical advantage you might get. In the vast ... Read More

Feed: Recent Announcements. We’re excited to announce the launch of the new AWS Game Tech Starter Pack. This digital training curriculum covers key features of Amazon GameLift and Amazon Lumberyard, as well as how AWS analytics solutions can provide insights into solving real-world problems with games. The curriculum features four courses: Amazon GameLift Primer, Amazon Lumberyard Primer, Data Analytics Fundamentals, and Why Analytics for Games. They feature a combined eight hours of digital video content intended for back-end game developers, operation engineers, architects, designers, producers, artists, data scientists, analysts, and business leaders ... Read More

Feed: Microsoft Dynamics 365 Blog. Author: Meenoo Rami. In October 2018, we announced the Microsoft Higher Education Accelerator, enabling ISVs and other solution providers to quickly build industry vertical solutions tailored for higher education. Since then, we have updated the accelerator with new scenarios to help institutions transform how they engage with students and their constituents and improve student outcomes.Our latest version, now generally available, extends the Common Data Model scenarios to include new entities, sample apps, and analytics for business partner management and student accomplishments. The accelerator also includes entities around internships, scholarships, grants, and more.About the industry acceleratorOne ... Read More

Feed: AWS Government, Education, & Nonprofits Blog. Author: Phil Silver. Our cities are becoming smarter and faster every day, and as the modern city evolves so does its transportation offerings. By migrating transportation services to the cloud, cities can evolve to meet constituents’ transportation needs. To meet a modern-day travelers’ expectations, the cloud drives innovation by providing real-time analytics and predictive modeling that can make transportation easier and faster. Amazon Web Services (AWS) works with leading transportation technologies to help build cloud solutions for airports, seaports, mass transit, tollways, municipal planning, parking authorities, motor vehicle departments, traffic management departments, and ... Read More

Feed: Microsoft Azure Blog. Author: John 'JG' Chirapurath. Enterprises today are transforming their businesses using Machine Learning (ML) to develop a lasting competitive advantage. From healthcare to transportation, supply chain to risk management, machine learning is becoming pervasive across industries, disrupting markets and reshaping business models. Organizations need the technology and tools required to build and deploy successful Machine Learning models and operate in an agile way. MLOps is the key to making machine learning projects successful at scale. What is MLOps ? It is the practice of collaboration between data science and IT teams designed to accelerate the entire ... Read More

Feed: R-bloggers. Author: John. Statisticians often come across outliers when working with datasets and it is important to deal with them because of how significantly they can distort a statistical model. Your dataset may havevalues that are distinguishably different from most other values, these arereferred to as outliers. Usually, an outlier is an anomaly that occurs due tomeasurement errors but in other cases, it can occur because the experimentbeing observed experiences momentary but drastic turbulence. In either case, itis important to deal with outliers because they can adversely impact theaccuracy of your results, especially in regression models. In this tutorial, ... Read More

Feed: Teradata Blog. The hybrid cloud is not just a consideration, but for our customers, especially our larger customers, already a reality. To understand what we mean when we say hybrid cloud, we first need to define two terms: Hybrid Cloud: Uses mix of on-premises and one or more clouds. Multi-cloud: Uses two or more clouds. Typically, companies are using both hybrid and multi-cloud architectures. When we talk to our customers about hybrid cloud and or multi-clouds, we often hear the following: We want to use the best-of-breed cloud for a workload. We want to be cloud agnostic. One cloud provider does ... Read More

Feed: SAS Blogs. Author: Claudio Broggio. AI innovations range from unique modelling techniques and computer vision efforts to medical diagnostic tools and self-driving cars. Within that wide range of technology, what should you consider patenting? Which of your discoveries are true intellectual property that necessitate protection? A little thought upfront could help you to know what action to take to protect your most valuable innovations. Intellectual property, machine learning and generative adversarial networks Intellectual property and AI Do not doubt that plenty of people are already protecting their artificial intelligence inventions. Since the 1960s, over 300,000 applications for AI-related patents ... Read More