GigaSpaces Version 15.0 set to operationalize and optimize machine learning; gain actionable insights from data

GigaSpaces announced this week availability of GigaSpaces Version 15.0, including InsightEdge Platform and XAP, to operationalize and optimize machine learning with the required speed, scale, accuracy and management tools. GigaSpaces Version 15.0 powers machine learning operations (MLOps) initiatives, helping enterprises maximize the business value derived from big data. 

Deploying machine learning models in production remains a major challenge for many enterprises. The Gartner Accelerate Your Machine Learning and Artificial Intelligence Journey Using These DevOps Best Practices says that, “according to the 2019 Gartner CIO Survey, AI and ML continue to be viewed as the No. 1 game-changing technology by CIOs. However, most organizations underestimate how long it will take to move AI and ML projects into production.”

GigaSpaces delivers fast in-memory computing platforms for real-time insight to action and extreme transactional processing.  With GigaSpaces, enterprises can operationalize machine learning and transactional processing to gain real-time insights on their data and act upon them in the moment.  

The always-on platforms for mission-critical applications across cloud, on-premise or hybrid, are leveraged by organizations across various verticals, including financial services, retail, transportation, telecom and healthcare. GigaSpaces offices are located in the US, Europe and Asia.

GigaSpaces Version 15.0 simplifies integrating AI workloads with the organization’s core infrastructure, accelerating machine learning deployment and enabling enterprises to more readily experience the business benefits of machine learning models.

GigaSpaces Version 15.0 introduces a new enterprise-grade monitoring and administration tool, Ops Manager, that provides visibility into the components of systems running models including logs, inputs, outputs and exceptions, using different performance visualization techniques. 

The Ops Manager enables continuous monitoring of machine learning pipelines, starting at the cluster level and drilling through to individual services so users can maintain accurate data models and ensure that problems are resolved before they affect overall performance. 

The new AnalyticsXtreme Batch Indexing included in GigaSpaces InsightEdge Version 15.0 optimizes and automates data access and storage with the added ability to move data between the more frequent (cold data) access and infrequent (archive data) access tiers on data lakes and data warehouses.  

The performance of ML models is enhanced since frequently accessed cold data can be retrieved 80 times faster directly from data lakes and processing costs are reduced as data access patterns change. 

GigaSpaces Version 15.0 also provides a native smart space client in Kubernetes that supports remote CRUD operations, task execution, and event-driven analytics providing high throughput and fast serialization, as well as automatic load balancing. Writing and updating of data without a predefined schema allows easy changes to the data model, while ensuring compatibility with JDBC and BI tools so code can be integrated more reliably and faster with lower administrative overhead.

“Machine learning is becoming an essential component of mission critical applications to optimize operations and deliver superior real time customer experiences,” said Yoav Einav, VP product at GigaSpaces. “GigaSpaces Version 15.0 provides enterprises with the machine learning model management capabilities, speed and scale that they need to accelerate their machine learning and artificial intelligence journey.”

AutoStore delivers flexible, high-density storage solution enabling retailers to deliver products to consumers in record time

AutoStore, vendor of high-density storage with an existing robotic cube-based, automated storage and retrieval system that has transformed the logistics and delivery process for businesses across the globe. The system has evolved to accommodate the increasing demands on retailers to change and stock inventory at speed and deliver goods to consumers within same-day or several hour timeframes.

Consumers are demanding more choices and are more willing to change brand allegiance to get better value and service. To remain competitive, retailers, whether big box or independent, require a presence across multiple channels – stores, online, social networking and mobile. Same-day delivery and immediate local-store pick-up are no longer perks for online shoppers, they are expectations.

Micro-fulfilment presents one of the largest challenges for business owners and retailers to not only store ever-changing inventory within a warehouse, but to ensure the warehouses are close enough to consumers. Managing fulfilment of consumer goods and groceries from regional distribution centres does not accommodate customised needs of consumers, nor can it sustain cost efficiency.

AutoStore provides a solution for the future of logistics and warehousing with micro-fulfilment at the retail store level. The pioneering Cube Storage Automation system offers the densest product/inventory storage solution in existence, where up to 15,000 SKUs can be stored within 604 sq meters. 

Modular in design, the system can be configured to fit different store ceiling heights and obstacles and suits a range of environments – from back-of-house of a grocery retailer to retail spaces for consumer products.

The AutoStore system contains a three-dimensional aluminum grid structure with self-supporting crates that are moved to pick stations by independently operating robots, providing swift and accurate movement of orders. Each robot has two sets of wheels that enable it to move along perpendicular axes, and this makes it possible for all robots to reach any position, and any crate on the grid independently – providing near 100 percent system availability.

For customers who would prefer to collect their items, AutoStore's pick-up points play a critical role in maintaining high-volume throughout for output workstations. Online orders can be consolidated in less than 10 minutes and confirmed in the system for customers to collect at any time. Orders can be retrieved from the system in just a few minutes, and customers can choose their preferred option to collect pre-picked orders, whether in-store or for home delivery.

“AutoStore delivers the flexibility and scalability needed for streamlining automated fulfillment of online orders, which is absolutely critical to accommodate increasingly higher numbers of SKUs, and seasonal spikes in ordering," said Karl Johan Lier, CEO and president of AutoStore. "It gives retailers the flexibility to make more targeted decisions about where they believe automated micro-fulfilment will be most beneficial."

Nasuni announces latest release of its file services platform for modernizing NAS infrastructure

Nasuni Corp. announced Wednesday latest release of its file services platform for modernizing network attached storage (NAS) infrastructure. Nasuni’s new version gives enterprises access to artificial intelligence (AI) and search analytics for unstructured data, as well as powerful cloud migration capabilities. Companies gain a springboard for agile, intelligent migrations and cloud-first approaches, as well multi-cloud flexibility. 

Unstructured data has exploded, while globalization and agility pressures have made traditional NAS infrastructures inadequate. Businesses should no longer build file server silos, which can be costly, complex and unable to keep up with prevailing demands. 

Powered by file system, Nasuni delivers a file services platform built for the cloud that combines performance of local file servers with the scalability and durability of cloud storage, at roughly half the cost of traditional file infrastructures. 

The Nasuni Analytics Connector allows customers to turn unstructured data into big data. A consolidated cloud-based file system enables customers to export a temporary second copy of their file data to use with analytics software, AI, machine learning and other data recognition tools such as AWS Rekognition and Macie. This new release also features support for leading search software, including SharePoint Search, Acronis FilesConnect, Cloudtenna, Search Blox, Graymeta, and NeoFinder.

Customers can start their journey from traditional on-premises NAS to the cloud with the Nasuni AWS Cloud Migration Services and Nasuni Azure Cloud Migration Services. Nasuni’s services for AWS now include both Amazon Snowball and the Nasuni Cloud Migrator for AWS. Nasuni’s services for Azure now include Microsoft’s Data Box and Nasuni’s Cloud Migrator for Azure. These new services enable customers to seamlessly move data to Amazon S3 or Microsoft Azure storage faster and with less effort than a self-driven cloud migration, enabling a successful cloud-first strategy.

In addition to support for AWS and Azure, new support for Google Cloud Storage extends Nasuni’s public cloud storage capabilities to all three major public cloud providers, enabling customers to implement multi-cloud strategies based on their specific business or application requirements. This new release now supports more private cloud storage solutions, including NetApp StorageGRID, Nutanix Objects, IBM COS, Hitachi Vantara HCP, and Scality RING.

Users can migrate NAS silos to the cloud storage of their choice for on-demand capacity expansion, built-in backup, instant disaster recovery, and multi-site file sharing. They also gain sophisticated data insights and accelerate their cloud storage strategies with Nasuni’s ability to scale and foster collaboration across distributed workforces.

Nasuni enables enterprises to seamlessly navigate their entire journey from NAS consolidation to workforce productivity. The Nasuni platform is trusted by many of the largest organizations in retail, consumer goods, creative services, oil and gas, architecture, engineering, construction and manufacturing. The company is experiencing record growth, with a 250 percent increase in data under management over the last 24 months. 

Nasuni is now deployed in more than 7,000 locations in 70 countries. Nasuni’s growth reflects its customers’ needs to simplify how critical file data is stored and protected, while empowering users to share and collaborate on files across multiple sites and geographies with maximum performance and reliability.

Nasuni’s new enhancements will be available by the end of the year. The Nasuni platform comes in three editions -- Essentials, Advanced and Premium.