Category: Computing & data (Page 28 of 88)

Computing and data is a broad category. Our coverage of computing is largely limited to software, and we are mostly focused on unstructured data, semi-structured data, or mixed data that includes structured data.

Topics include computing platforms, analytics, data science, data modeling, database technologies, machine learning / AI, Internet of Things (IoT), blockchain, augmented reality, bots, programming languages, natural language processing applications such as machine translation, and knowledge graphs.

Databricks announces Lakehouse for Manufacturing

April 4, 2023 / NewsShark

Databricks released Databricks Lakehouse for Manufacturing, a lakehouse platform tailored to manufacturers that unifies data and AI and delivers performance for analytics use cases. Databricks’ Lakehouse for Manufacturing breaks down data silos and is designed for manufacturers to access all of their data and make decisions in real-time.

The industry-specific lakehouse goes beyond traditional data warehouses by offering integrated AI capabilities and pre-built solutions such for predictive maintenance, digital twins, supply chain optimization, demand forecasting, real-time IoT analytics. A partner ecosystem and custom, partner-built Brickbuilder Solution offer customers choice in delivering real-time insights and impact across the value chain at a lower total cost of ownership (TCO).

With Databricks, organizations can unlock the value of their existing investments and achieve AI at scale by unifying all of their data, regardless of type, source, frequency or workload, on a single platform. The Lakehouse for Manufacturing has data governance and sharing built-in, and enables organizations to deliver real-time insights for agile manufacturing and logistics across their entire ecosystem.

Customers across the manufacturing industry also benefit from vetted data solutions from partners like Avanade, Celebal Technologies, DataSentics, Deloitte and Tredence, which combine of Databricks’ Lakehouse Platform with industry expertise.

https://www.databricks.com/solutions/industries/manufacturing-industry-solutions

Stilo launches Migrate 5.0

April 3, 2023 / NewsShark

Still Corporation, a provider of automated content conversion tools, announced the launch of its latest software product, Migrate 5.0. This new release promises to provide more robust and reliable content conversion capabilities for organizations looking to convert legacy content (such as HTML, Word, and FrameMaker) into structured XML. Migrate 5.0 builds on Stilo’s previous content conversion solutions by incorporating new features and capabilities, including DITA 2.0, that make the conversion process even more streamlined and efficient.

One of the key new features of Migrate 5.0 is the upgraded framework which significantly improves performance and stability. With this new upgrade, Migrate 5.0 becomes a more potent and adaptable tool, making it a useful solution for any organization seeking to optimize its data migration process. A free sample conversion is available on Stilo’s website.

Stilo develops tools to help organizations automate the conversion of content to XML and build XML content processing components integral to enterprise-level publishing solutions. Operating from Canada, Stilo supports commercial publishers, technology companies and government agencies around the world in their pursuit of structured content.

https://www.stilo.com/

Kobai launches Saturn Knowledge Graph

March 21, 2023 / NewsShark

Kobai, a codeless knowledge graph platform, announced the availability of Kobai Saturn, a knowledge graph to harness the scale, performance, and cost efficiency of the lakehouse architecture. Kobai Saturn extends the capabilities of the Kobai Platform, integrating every use case and function into a single semantic layer.

Business users need quick insights to make day-to-day decisions, which require connected data from data from across the enterprise. With Kobai Saturn, organizations can leverage the ease of knowledge graphs with the scalability of a data warehouse. New capabilities include:

Direct integration: embedded in the data layer, organizations can query data without moving it from the lake or warehouse, following W3C and Lakehouse open standards for complete interoperability
Improved performance: on-demand and burstable compute leveraging the underlying data layer for faster graph queries and ML training without virtualization
Seamless collaboration: publish business question as SQL views to integrate with existing data science and business intelligence tools

Kobai’s codeless platform provides a business-first approach and a collaborative environment to rapidly share insights across the entire organization. The new Kobai Saturn knowledge graph works directly with Kobai’s Studio framework and Tower visualization products.

https://www.kobai.io/products/kobai-saturn

Ontotext releases Metadata Studio 3.2

March 21, 2023 / NewsShark

Ontotext, a provider of enterprise knowledge graph (EKG) technology and semantic database engines, released Ontotext Metadata Studio version 3.2. The metadata management and tagging control solution helps organizations to transform content into knowledge. Users can utilize the taxonomical instance data in their knowledge graph to achieve explainable and customizable out-of-the-box taxonomy-driven tagging.

Ontotext Metadata Studio 3.2 makes it easy for users to determine whether a use case could be automated or not across any third-party text mining service, simplifies orchestrating complex text analysis across third-party services, and evaluates their quality against internal benchmarks or against one another.

With version 3.2, Ontotext Metadata Studio enables non-technical end users to create, evaluate, and improve the quality of their text analytics service by tagging and linking against their own business domain model. With extensive explainability and control features, users who are not proficient in text analytics techniques can understand the causal relationships between the underlying dataset, the specific text analytics service configuration, and the final output.

This enhancement enables efficient user intervention, making the human truly in the loop and completely in control of the whole extraction process. Ontotext Metadata Studio is domain neutral and applicable for various domains and use cases.

https://www.ontotext.com

Ontotext releases GraphDB 10.2

March 8, 2023 / NewsShark

Ontotext, a provider of enterprise knowledge graph (EKG) technology and semantic database engines, launched GraphDB 10.2, an RDF database for knowledge graph. GraphDB enables organizations to link diverse data, index it for semantic search, and enrich it via text analysis to build large scale knowledge graphs. With improved cluster backup and cloud support, GraphDB lowers traditional memory requirements, and provides a more transparent memory model.

Users can oversee system health and diagnose problems easier using industry-standard toolkit Prometheus or by monitoring performance directly within the GraphDB Workbench itself. The solution also includes support for X.509 client certificate authentication for greater flexibility when accessing a secured GraphDB instance.

Backups can also be stored directly in Amazon S3 storage to ensure the most up to date data is securely protected against inadvertent changes or hardware failures in local on-prem infrastructure.

Internal structures and moved memory usage from off-heap to the Java heap were also redesigned for a more straightforward memory configuration, where a single number i.e. (the Java maximum heap size) controls the maximum memory available to GraphDB. Memory used during RDF Rank computation was also optimized making it possible to compute the rank of larger repositories with less memory.

https://www.ontotext.com

Databricks launches Databricks Model Serving

March 7, 2023 / NewsShark

Databricks announced the launch of Databricks Model Serving to provide simplified production machine learning (ML) natively within the Databricks Lakehouse Platform. Model Serving removes the complexity of building and maintaining complicated infrastructure for intelligent applications. Organizations can leverage the Databricks Lakehouse Platform to integrate real-time machine learning systems across their business, from personalized recommendations to customer service chatbots, without the need to configure and manage the underlying infrastructure. Deep integration within the Lakehouse Platform offers data and model lineage, governance and monitoring throughout the ML lifecycle, from experimentation to training to production. Databricks Model Serving is now generally available on AWS and Azure. Capabilities, include:

Feature Store: Provides automated online lookups to prevent online/offline skew. Define features once during model training, and Databricks will automatically retrieve and join the relevant features in the future.
MLflow Integration: Natively connects to MLflow Model Registry, enabling easy deployment of models. After providing the underlying model, Databricks will automatically prepare a production-ready container for model deployment.
Unified Data Governance: Manage and govern all data and ML assets with Unity Catalog, including those consumed and produced by model serving.

https://www.databricks.com

Slang Labs launches CONVA

March 1, 2023 / NewsShark

Slang Labs, a Google-backed startup from Bengaluru, announced the launch of CONVA, a full-stack solution that provides smart and highly accurate multilingual voice search capabilities inside e-commerce apps. CONVA is available as a simple SDK (Software Development Kit) that can be integrated into existing e-commerce apps in less than 30 minutes without developers needing any knowledge of Automatic Speech Recognition (ASR), Natural language processing (NLP), Text-to-Speech (TTS) and other advanced voice tech stack concepts.

CONVA-powered voice search comprehends mixed-code (multiple languages in one sentence) utterances, enabling consumers to speak naturally in their own language in order to search for products and information inside e-commerce mobile and web apps – while allowing the brand to maintain its app backend in only one language i.e. English. For instance, when people use English and another vernacular language within the same sentence for searching for something, CONVA will understand both languages and provide a seamless search experience to the consumer.

Customers can search for products inside the applications using their typical colloquial terms for well-known products using voice search that is enabled by CONVA, and the apps will still be able to recognise the correct product being searched.

https://www.slanglabs.in/media

TigerGraph expands cloud capabilities

March 1, 2023 / NewsShark

TigerGraph, provider of an advanced analytics and ML platform for connected data, announced the latest version (3.9) of TigerGraph Cloud, a native parallel graph database-as-a-service, including new security, advanced AI, and machine learning capabilities to streamline the adoption, deployment, and management of the graph database platform. The underlying parallel native graph database engine is also available for on-prem or self-managed cloud installation.

Available as self-managed enterprise or on fully-managed cloud services including Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure, TigerGraph Cloud equips users with a comprehensive, streamlined approach to deploy and maintain multiple graph database solutions with visual analytics and machine learning tools. Users can get started in minutes, build a proof-of-concept model in hours, and deploy a solution to production in days. New capabilities include: Enhanced data ingestion, Parquet file format, multi-edge support, Enhanced graph data science package, improved DevOps support, expanded Kubernetes functionality, and expanded self-service graph visual analytics

TigerGraph Cloud users can choose from 20+ starter kits that cover industry use cases pre-built with sample graph data schema, dataset, and queries focused on specific use cases such as fraud detection, real-time recommendation, machine learning, and explainable AI.

https://www.tigergraph.com/

Category: Computing & data (Page 28 of 88)

Databricks announces Lakehouse for Manufacturing

Stilo launches Migrate 5.0

Kobai launches Saturn Knowledge Graph

Ontotext releases Metadata Studio 3.2

Ontotext releases GraphDB 10.2

Databricks launches Databricks Model Serving

Slang Labs launches CONVA

TigerGraph expands cloud capabilities

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