As companies think about how to manage data as a business asset, they should reflect on two fundamental and complementary dynamics of responsibility – the business of data, and the technology of data.
Category: Information technology
AI and Data This Year: Bigger, Bolder, and Business-Focused
Consumers are increasingly comfortable and confident with AI-enabled interactions, enterprises are pushing through common barriers to scale their AI programs, and companies are shifting away from gut-feel and intuition to relying squarely on data-driven decision making.
Megatrends drive cloud adoption—and improve security for all
An on-prem environment can, with a lot of effort, have the same default level of security as a reputable cloud provider’s infrastructure. Conversely, a weak cloud configuration can give rise to many security issues. But in general, the base security of the cloud coupled with a suitably protected customer configuration is stronger than most on-prem environments.
Does Data Monetization Seem Daunting? Here’s How to Start
Selling the data requires a developer or a data scientist to do something with it, such as building an application or analytic model, to deliver business value. However, if the data product or service is an application or an analytic model, delivering insights directly to customers within a business workflow, a decision or action can be taken immediately.
Enterprise Data: Prepare for More Change in This Hot Area of Tech
Enterprises using IoT can use embedded databases at the edge to copy aggregated sensor data to a back-end database when online. This brings the value of data directly to operations. At the same time, data from all the devices is being managed in the back-end database to develop analytics to advance the business.
Fender’s CIO Talks Tuning Up SAP with a Migration to AWS
Michael Spandau, CIO of Fender, spoke with InformationWeek about the needs that led the guitar maker to work with Lemongrass to run SAP on AWS.
Four Trends Executives Must Consider To Drive CX Excellence in 2022 and Beyond
Rapidly changing world events, such as geopolitical shifts, environmental and societal disruptions, and COVID-19, continue to drive significant changes in both consumer and customer needs and behaviors. These changes have caused buyers to use and accept more digital channels. Buyers also now expect a more B2C-style experience in their working lives. Access to information has never been easier, yet people struggle with the volume of data.
Azure digital twins builder
The key to the solution is having a web app that uses BIM data from Autodesk Forge to automate the creation of an Azure Digital Twins foundational dataset. The app provides both visual and relational context to support the instantiation of a DT in the Azure Digital Twins build process.
IoT Development Tools for Beginners: 6 Tools to Start Developing IoT
These things are embedded with sensors, software, and other technologies to connect and exchange data with devices and systems over a wireless network such as the internet.
IoT and the Year Ahead: Industry Predictions for 2022
For those in the know, industrial IoT is already delivering significant competitive advantages as our world becomes more connected, and just as COVID-19 created a quantum leap for many businesses, accelerating their acceptance and adoption of new technologies, it also paved the way for an IoT future.
Connecting Your Cloud & DevOps Tools to Enable CI/CD
Application architectures, internal processes and personal preferences mean organizations and teams set up the CI/CD pipeline differently, resulting in a diversity of infrastructure and tooling throughout software delivery pipelines.
Testing App for API calls lands from Speedscale
Speedscale, the API test-automation software company, today launches Speedscale CLI, a free observability tool that inspects detects, and maps API calls on local applications or containers.
Data analysis for regulated industries
In recent years, the demand for business users to be able to consume, transform, model, and visualize large amounts of complex data from multiple heterogeneous sources has increased dramatically. To meet this demand in a cost-effective, scalable way, many large companies have benefitted from moving to cloud-based data platforms.
Backtest trading strategies with Amazon Kinesis Data Streams long-term retention and Amazon SageMaker
To show you how easy and quick it is to get started on AWS, we provide a one-click deployment for an extensible trading backtesting solution that uses Kinesis long-term retention for streaming data.