Tag: Patterns

Feed: Featured Blog Posts - Data Science Central. Author: Kateryna Lytvynova. When you give customers advice that can help them save some money, they will pay you back with loyalty, which is priceless. Interesting fact: Fareboom users started spending twice as much time per session within a month of the release of an airfare price forecasting feature. This tool continues to grow conversion for our partner. Besides travel, price predictions find their application in various scenarios. Commodity traders, investors, construction developers, or energy generators use estimates on future price movements for business purposes. This time we talked with experts from AleaSoft, ENFOR, ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Divya Singh. Machine Learning is the word of the mouth for everyone involved in the analytics world. Gone are those days of the traditional manual approach of taking key business decisions. Machine Learning is the future and is here to stay. However, the term Machine Learning is not a new one. It was there since the advent of computers but has grown tremendously in the last decade due to the massive amounts of data that’s getting generated, and the enormous computational power that modern-day system possesses. Machine Learning is the art ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Ariful Islam. Unlike supervised learning, unsupervised learning not working with labeled data, it is not showing the machine the correct answer. Instead, it is using different algorithms to let the machine create connections by studying and observing the data. Learn much of this through study and observation. Learning and improving by trial and error is the key to unsupervised learning. However, the Knowledge Discovery process is the field of data mining is concerned with the development of methods, techniques and algorithm which can make sense of the available data. It is useful in finding trends, patterns, correlations ... Read More

Feed: Recent Announcements. In a callback pattern, Step Functions pauses execution of the workflow until your application returns a token through the Step Functions application programming interface. This helps you automate workflows for applications that need human activities such as review and approval of documents or creating and managing work items in a customer support application. You can also use the callback pattern to build custom integrations with third-party services. Step Functions supports callback patterns with Amazon ECS, Amazon SNS, Amazon SQS, AWS Fargate, and AWS Lambda. AWS Step Functions allows you to add resilient workflow automation to your applications ... Read More

Feed: Recent Announcements. Amazon DynamoDB now applies adaptive capacity in real time in response to changing application traffic patterns, which helps you maintain uninterrupted performance indefinitely, even for imbalanced workloads. In addition, instant adaptive capacity helps you provision read and write throughput more efficiently instead of overprovisioning to accommodate uneven data access patterns. Instant adaptive capacity is on by default at no additional cost for all DynamoDB tables and global secondary indexes ... Read More

Feed: erwin Expert Blog – erwin, Inc.. Author: Martin Owen. How do organizations innovate? Taking an idea from concept to delivery requires strategic planning and the ability to execute. In the case of software development, understanding agile enterprise architecture and its relevance to DevOps is also key.DevOps, the fusion of software development and IT operations, stems from the agile development movement. In more practical terms, it integrates developers and operations teams to improve collaboration and productivity by automating infrastructure, workflows and continuously measuring application performance. The goal is to balance the competing needs of getting new products into production while ... Read More

Feed: Recent Announcements. Using the new AWS Budgets planning features, you can easily create budgets which account for your projected growth or seasonal usage patterns. For example, as an online retailer, you could set a $3,000 monthly budget for your AWS costs which starts in February, but increases to $7,500 for November and December to account for holiday shopping before returning to $3,000 for January. You can also create a $10,000 quarterly budget which tracks your costs for your ‘Test Environment’ tag and automatically increases your budgeted amount by 10% each quarter for the coming year, in line with your ... Read More

Feed: SAS Blogs. Author: Tiffany Carpenter. Redefining banking in a financial services market where your biggest competitor may be Amazon or Google, not a traditional bank. Open banking may not have made much of an impression on consumers yet. But it’s a topic that the industry cannot afford to ignore. Tier one UK banks are already bound to grant licensed startups access to transaction-level data, and smaller banks are likely to have to follow suit in the near future. The potential impact on the banking landscape is profound. Today, the standard business model for retail banks is to build strong ... Read More

Feed: Teradata Blog. What is Compounding Knowledge?  I’ve been curious lately about the topic of why people make the decisions they do.  There are many new cognitive and behavioral sciences, with interesting podcasts and blogs on these topics to binge on.  In a recent podcast, two authorities on behavioral science- Sam Harris and Shane Parrish – discussed compounding knowledge.  Compounding knowledge is a concept first presented by investor and business magnate Warren Buffet, who suggested “Read 500 pages every day. That’s how knowledge works. It builds up, like compound interest.” Buffet and Parrish assert that the principle of compounding can be ... Read More

Feed: Recent Announcements. The reports are stored as logs of session and application records in an Amazon Simple Storage Service (Amazon S3) bucket in your account. Session records contains 33 fields describing user streaming sessions, including user ID, session duration, stack name, and user IP address. Application records indicate which applications users have selected to stream during each session. With this information, you can run SQL queries over your usage reports using Amazon Athena to create custom reports or visualize usage patterns using Amazon QuickSight. AppStream 2.0 is a fully managed, secure application streaming service that allows you to stream ... Read More