A thriving IoT environment demands standardization that consists of interoperability, adaptability, dependability, and effectiveness of the operations globally. Speedy development in IoT increases data growth
Category: Information technology
How Data, Analytics & AI Shaped 2020, and Will Impact 2021
Artificial intelligence and automation were key tools in the IT enterprises’ pandemic war effort in 2020. Here’s how they will continue to change the game in every organization in 2021. Image: charles taylor – stock.adobe.com The IT enterprise may have started the year stalled on its efforts to deploy at scale production machine learning and artificial intelligence projects, but that didn’t last long.
7 most common data preparation transformations in AWS Glue DataBrew
For all analytics and ML modeling use cases, data analysts and data scientists spend a bulk of their time running data preparation tasks manually to get a clean and formatted data to meet their needs. We ran a survey among data scientists and data analysts to understand the most frequently used transformations in their data preparation workflow.
Running queries securely from the same VPC where an Amazon Redshift cluster is running
Customers who don’t need to set up a VPN or a private connection to AWS often use public endpoints to access AWS. Although this is acceptable for testing out the services, most production workloads need a secure connection to their VPC on AWS.Although this is acceptable for testing out the services, most production workloads need a secure connection to their VPC on AWS. If you’re running your production data warehouse on Amazon Redshift, you can run your queries in Amazon Redshift query editor or use Amazon WorkSpaces from Amazon Virtual Private Cloud (Amazon VPC) to connect to Amazon Redshift securely and analyze and graph a data summary in your favorite business intelligence (BI) or data visualization desktop tool.
How FanDuel Group secures personally identifiable information in a data lake using AWS Lake Formation
In this post, we discuss how FanDuel used AWS Lake Formation and Amazon Redshift Spectrum to restrict access to personally identifiable information (PII) in their data lake.This post is co-written with Damian Grech from FanDuel.
FanDuel Group is an innovative sports-tech entertainment company that is changing the way consumers engage with their favorite sports, teams, and leagues. The premier gaming destination in the US, FanDuel Group consists of a portfolio of leading brands across gaming, sports betting, daily fantasy sports, advance-deposit wagering, and TV/media, including FanDuel, Betfair US, and TVG.
Building a serverless data quality and analysis framework with Deequ and AWS Glue
With ever-increasing amounts of data at their disposal, large organizations struggle to cope with not only the volume but also the quality of the data they manage. Indeed, alongside volume and velocity, veracity is an equally critical issue in data analysis, often seen as a precondition to analyzing data and guaranteeing its value
Building high-quality benchmark tests for Amazon Redshift using Apache JMeter
In the introductory post of this series, we discussed benchmarking benefits and best practices common across different open-source benchmarking tools. As a reminder of why benchmarking is important, Amazon Redshift allows you to scale storage and compute independently, and for you to choose an appropriately balanced compute layer, you need to profile the compute requirements of various production workloads.
BrandPost: 6 Considerations When Adopting a Kubernetes-Based Container Platform for the Enterprise
In today’s ultra-competitive digital world, enterprises expect software developers to rapidly build and deploy applications that will help grow their business. To meet this need, developers are turning to container technology. That’s because containers allow them to develop, deploy, and manage software faster and more efficiently at an unprecedented scale
Shifting Consumer Values Drive Digital Commerce Trends
November’s disappointing retail sales follow a month’s worth of Black Friday and Cyber Monday promotions that brands hoped would boost consumer spending as 2020 comes to a close. Despite attractive deals, consumer uncertainty continues due to the dual concerns of illness and financial instability (see Gartner’s Consumer COVID-19 Concerns Tracker).
7 reasons your AI strategy isn’t working
Artificial intelligence (AI) promises to help enterprises boost productivity, business agility, and customer satisfaction while shortening the time required to bring new products and services to market. Yet as more IT leaders plunge their organizations deep into AI science, many are finding disappointment rather than success.
Top 10 Smarter With Gartner Articles in 2020
From COVID-19 to top technologies to trends across the business, Smarter With Gartner covers all the topics that executives in every organization need to know about. This year, the Smarter With Gartner team equipped executives with insights to operate in an environment of constant disruption and change.
What Is a Minimum Viable AI Product?
One of the key attributes of the lean startup approach popularized by Steve Blank and Eric Ries is the development and refinement of a minimum viable product (MVP) that engages customer and investor attention without large product development expenditures.
BrandPost: Deluged With Data, But Thirsty for Insights? The Right Data Fabric Can Help
According to TechTarget , a recent IDC forecast revealed enterprises will create and capture an estimated 6.4 zettabytes of new data in 2020. This firehose of data is coming into the enterprise from a variety of sources: servers, smartphones, websites, social media networks, e-commerce platforms, and Internet of Things (IoT) devices.
Predictions for AI in 2021
We look past the hype to provide some real-world predictions for artificial intelligence in the enterprise next year. Image: ART STOCK CREATIVE – stock.adobe.com Artificial intelligence has expanded its grip on our lives throughout the past year.