High quality data is the most important factor in building machine learning models. The majority of the time, training data presents problems stemming from how the data was produced and labeled internally. Other times, AI projects stall because of the lack of internal resources and skills to label data.
Data labeling is the first step in the Al lifecycle. It is the foundation to developing accurate, predictive models that power a myriad of outcomes. Simply, data labeling is the act of adding keywords to unstructured data, like video, images, audio, or text, so that machines learn to automatically recognize the concepts that these keywords describe.
Search is at the heart of modern e-commerce. The tasks of ranking search results, product personalization and product discovery are critical to driving revenue. AI allows retailers to better capture and leverage the available data that powers personalized experiences.
As Artificial Intelligence's impact on the world continues to grow, more and more business stakeholders will encounter and grapple with the lexicon.
The machine learning techniques that ignited breakthroughs in computer vision are now being applied to language with powerful results.
Hazelcast Cloud<sup>®</sup> is an on-demand managed service for Hazelcast IMDG (InMemory Data Grid). It offers a scalable, shared pool of RAM across multiple dedicated cloud instances to provide low-latency access to your data in a secure, always-on environment. It is maintained by Hazelcast to free you from day-to-day infrastructure management responsibilities. Hazelcast Cloud is available on the Hazelcast website on an annual contract basis or pay-as-you-go.
Hazelcast IMDG® is a cloud-native, distributed, in-memory computing platform that helps companies manage their data by using in-memory storage and performing parallel execution for breakthrough application speed and scale. IMDG is the leading open source in-memory data grid on the market with millions of deployed systems worldwide. IMDG is also available in commercial versions ("Enterprise" and "Pro") that add more enterprise-ready capabilities.
Hazelcast Jet® is a stream processing engine designed for high performance, easy maintenance, and resilience. Its architecture entails a distributed engine that leverages in-memory computing to run applications at near real-time speeds. Jet is used to develop both stream and batch processing applications using a directed acyclic graph (DAG) for job planning to optimally leverage resources when parallelizing subtasks.
How improving data quality speeds migration and accelerates cloud benefits.
Download Intenda's latest use case to learn how their FraXses solution provides a COVID-19 Data and Insights Platform that allows real-time access to actionable data for those who need it most.
The Army, navy, air force and support divisions all need information on the readiness of the entire Defense Department.
Learn how Axon™ Data Governance powers the first true enterprise data governance solution, leveraging the full power of the Informatica® Intelligent Data Platform™ to drive value by democratizing your team’s access to integrated high-quality data that is consistent, trusted, and protected.
With new technologies merging the interrelationship between the physical, digital and biological worlds, and “thinking machines” replacing human tasks and jobs, the skills that organizations need in the workforce for the future are changing. Nowhere is this more apparent than in the U.S. public sector, and more specifically, the federal government.
This week, we sat down with Steve Grewal, the federal CTO at Cohesity to discuss data fragmentation and security in the public sector.