Tag: step

Feed: Featured Blog Posts - Data Science Central. Author: Jaimin Dave. In 2019, Venturebeat reported that almost 87% of data science projects do not get into production. Redapt, an end-to-end technology solution provider, also reported a similar number of 90% ML models not making it to production. However, there has been an improvement. In 2020, enterprises realized the need for AI in their business. Due to COVID-19, most companies have scaled up their AI adoption and increased their AI investment. According to the 2020 State Of The ML Report by Algorithmia, AI model development has become much more efficient. It ... Read More

Feed: AWS Big Data Blog. One of the key phases of a machine learning (ML) workflow is data preprocessing, which involves cleaning, exploring, and transforming the data. AWS Glue DataBrew, announced in AWS re:Invent 2020, is a visual data preparation tool that enables you to develop common data preparation steps without having to write any code or installation. In this post, we show how to integrate the standard data preparation steps with training an ML model and running inference on a pre-trained model via DataBrew and AWS Step Functions. The solution is architected with an ML pipeline that trains the ... Read More

Feed: AWS Partner Network (APN) Blog. Author: Sivakumar Varadananjayan. By Sivakumar Varadananjayan, Global Head, SAP Cloud & Technology – CognizantBy Imran Rashid, Principal Partner Solution Architect SAP, WW – AWS Cognizant This post helps readers learn about the challenges faced by customers who perform the SAP ECC conversion to SAP S/4HANA followed by a migration to Amazon Web Services (AWS). In addition, we discuss how Cognizant accelerates this conversion and migration process of the customer’s on-premises SAP ECC system to SAP S/4HANA on AWS in a single step. Cognizant is an AWS Premier Consulting Partner with the SAP Competency designation ... Read More

Feed: Domo Blog. Author: Lisa Devashrayee-Oaks. For an organization to become data-driven, everyone within that organization first needs to become data-literate.  That’s because a data-literate culture is what enables a business as a whole to react quickly—and intelligently—to changes in the marketplace. And in a post-COVID world, no organization holds a greater competitive advantage than the one that can adjust to change on the fly and with speed.  Many business leaders understand this. But not all organizations are positioned in such a way. At least, not yet.  Building data literacy takes time. But it also takes having a plan, like the following three-step approach Domo customer University of Pittsburgh Medical Center (aka UPMC) created ... Read More

Feed: AWS Architecture Blog. Situation: IHS Markit’s Wall Street Office (WSO) offers financial reports to hundreds of clients worldwide. When IHS Markit completed the migration of WSO’s SaaS software to AWS, it unlocked the power and agility to deliver new product features monthly, as opposed to a multi-year release cycle. This migration also presented a great opportunity to further enhance the customer experience by automating the WSO reporting team’s own Continuous Integration and Continuous Deployment (CI/CD) workflow. WSO then offered the same migration workflow to its on-prem clients, who needed the ability to upgrade quickly in order to meet a ... Read More

Feed: The Internet of Things on AWS – Official Blog. Author: Vincent Hennette. A key trend we observe with industrial IoT projects is that new industrial equipment come with out-of-the-box cloud connectivity and allow near real-time processing of sensor data. This makes it possible to immediately generate KPIs allowing to monitor those equipment closely and to optimize their performance. However, a lot of industrial IoT data is still stored in legacy systems (e.g. SCADA systems, messaging systems, on-premises databases) with different formats (e.g. CSV, XML, MIME). This raises multiple challenges concerning the real-time management of that sensor data, such as: ... Read More

Feed: Recent Announcements. Amazon SageMaker Pipelines, the first purpose-built continuous integration and continuous delivery (CI/CD) service for machine learning (ML), is now integrated with SageMaker's automatic model tuning capability. Customers can add a model tuning step (TuningStep) in their SageMaker Pipelines which will automatically invoke a hyperparameter tuning job. The hyperparameter tuning finds the best version of a model by running many training jobs on the dataset using the algorithm and the ranges of hyperparameters specified by the customer. They can then register the best version of the model into the model registry using the RegisterModel step. The native support for the ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Akhil Sahai. The automation of business processes was already in a state of increasing adoption long before the pandemic began. However, the rapid shift to remote work coupled with COVID-19’s economic impact has kicked automation into high gear. Organizations are seeking to improve efficiency and reduce cost by reducing employees’ time spent on manual tasks. Robotic Process Automation (RPA) platforms have traditionally driven this transformation, but with the increased demand for a variety of use cases, many organizations are finding RPA tools inadequate. And they’re wanting to add more intelligence to ... Read More

Feed: Planet PostgreSQL. Back in August 2019, I wrote about the Horizontal scaling / Sharding in PostgreSQL and where it is going https://www.highgo.ca/2019/08/08/horizontal-scalability-with-sharding-in-postgresql-where-it-is-going-part-3-of-3/. One of the key feature that i talked about in this blog is parallel foreign scan i.e. asynchronous append of FDW nodes. Finally the first patch of this feature was committed to PG-14, while they are more improvements remaining to provide this capability for wider range of queries and workloads, it is certainly a important and major step forward for FDW based horizontal sharding. The primary purpose of this feature is to increase performance of FDW queries ... Read More

Feed: SAS Blogs. Author: Yinliang Wu. In many programming languages, there is a function named eval() that can be used to evaluate an expression and return the result at run time. For example, in Python, the eval() function parses the expression passed to it and runs a Python expression or code within the program. Even Python eval() supports more optional parameters, such as global/local dictionary for runtime context, but the goal for evaluation remains the same. When an expression is stored as a character variable of an SAS observation, it suggests the running context is the SAS program execution phase, ... Read More