June 2017 Summaries

To leverage artificial intelligence (AI) and machine learning (ML) model evaluations in real-time for IoT data and imagery, SingleStore can be utilized as a real-time data warehouse. It provides millisecond response times for analytical queries, making it suitable for applications such as real-time facial recognition. By efficiently extracting feature vectors from images using deep learning and storing them in a SingleStore table with a clustered columnstore schema, users can quickly perform similarity searches to find similar images or objects. The database's compression of columnstore tables enables faster computation than memory bandwidth alone, allowing for search results in under 0.25 seconds. With the ability to compute dot product and cosine similarity efficiently, SingleStore offers a practical solution for image recognition at in-memory speed, enabling users to avoid full table scans and achieve good accuracy with minimal loss.

SingleStore is a real-time data warehouse optimized for hybrid cloud deployments, excelling at operational use cases. It supports deployment on any cloud, including a managed service called Singlestore Helios, and can be installed and managed by the enterprise through On-premises SingleStoreDB Self-Managed. The platform's flexible software footprint allows it to run on-premises and in the cloud, providing scalability, performance, and cost-effectiveness. With its robust security mechanisms, SingleStore offers a comprehensive approach for hybrid cloud deployments, enabling companies to consolidate their database infrastructure while maintaining control over deployment and cost levers.

DirectEmployers Association`, a nonprofit consortium of leading global employers, aims to improve labor market efficiency through sharing best practices. The organization helps companies reduce recruiting costs and ensure regulatory compliance by collecting data on job requisition performance and applicant engagement. DirectEmployers sought to improve its analytics solution to provide real-time insights to recruiting managers, but required a fast and responsive solution that could handle frequent changes in the raw data. They chose `Singlestore Helios` for its query response capabilities and minimal tuning requirements, resulting in improved query performance of up to 50x for count and rank queries. With Singlestore Helios, DirectEmployers provides new analytics and a more predictable experience for recruiters, offering better visibility into their recruiting efforts.

Modern businesses heavily rely on technologies like Artificial Intelligence, Natural Language Processing, and Machine Learning to make informed decisions and predictions. A large corpus of high-quality data is crucial for training accurate machine learning models, which can be stored and queried by databases such as MySQL wire-compatible databases. SingleStoreDB stands out among these databases due to its ability to store, load, and query various types of corpus, providing high-speed machine learning querying to train ML models in real-time as a single unit. In contrast, other databases like Amazon Aurora ML and MariaDB require separate plugins or services to support machine learning capabilities, whereas SingleStoreDB provides all these features within a single engine without the need for additional setup.

The US President's decision to withdraw from the Paris Agreement has sparked a strong response in America, with many voices committing to maintaining alignment with climate change recommendations. The energy sector is critical in this conversation and technology companies are needed to help industry players make more informed decisions about their operations. With the support of tech giants, leading energy providers can reduce carbon emissions through smart meters, improve production efficiency and optimize fuel mixtures, ultimately contributing to a better global environmental standing.