Cognos COG-145 : IBM Cognos 8 BI Multidimensional Author Exam
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Exam Number : COG-145
Exam Name : IBM Cognos 8 BI Multidimensional Author
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Cognos IBM test
agencies profit ‘subsequent level AI’ by Merging talents Graphs with Graph Neural Networks
LAFAYETTE, Calif., October 25, 2021--(enterprise WIRE)--Franz Inc., an early innovator in synthetic Intelligence (AI) and main enterprise of Graph Database expertise for Entity-event knowledge Graph solutions, today introduced AllegroGraph 7.2, which gives groups with essential facts material equipment, together with Graph Neural Networks, Graph Virtualization, Apache Spark graph analytics, and streaming graph pipelines. These new capabilities exemplify AllegroGraph’s leadership in empowering records analytics specialists to derive enterprise value out of competencies Graphs.
"The potential to create Graph Neural Networks within the AllegroGraph platform opens up the subsequent stage of AI to information analytics gurus with the potential to supply the most efficient prescriptive effects," mentioned Dr. Jans Aasman, CEO of Franz Inc. "GNNs are ideal for making use of machine gaining knowledge of’s superior pattern awareness to excessive-dimensional, non-Euclidian datasets that are too complicated for other machine learning kinds. organizations get two types of reasoning in a single framework by fusing GNN reasoning capabilities around relationship predictions, entity classifications, and graph clustering, with traditional semantic inferencing accessible in AllegroGraph advantage Graphs. instantly mixing and matching these two types of reasoning is next level AI and is the foundation for predicting the most useful prescriptive outcome for any enterprise experience in response to context at scale."
Graph Neural Networks
With AllegroGraph 7.2, clients can create Graph Neural Networks (GNNs) and take skills of a mature AI approach for competencies Graph enrichment by way of textual content processing for news classification, query and answer, search outcomes company, adventure prediction, and more. GNNs created in AllegroGraph enhance neural network strategies through processing the graph facts via rounds of message passing, as such, the nodes know greater about their own facets in addition to neighbor nodes. This creates a fair extra correct illustration of the whole graph community. AllegroGraph GNNs strengthen textual content classification and relationship extraction for reinforcing enterprise-large information fabric.
Gartner defines statistics fabric as a design thought that serves as an integrated layer (material) of facts and connecting processes. "The emerging design thought referred to as 'facts material' will also be a strong solution to ever-latest statistics administration challenges, such as the high-cost and low-price statistics integration cycles, usual maintenance of past integrations, the rising demand for precise-time and adventure-driven statistics sharing and greater," spoke of Mark Beyer, amazing VP Analyst at Gartner. (source: Gartner, information fabric architecture is essential to Modernizing facts management and Integration, may 11, 2021)
"companies have mounds of statistics spread over many types of facts sources – from relational and NoSQL databases to CRM systems, cloud services, e mail and file-sharing apps," talked about Dr. Aasman. "but if corporations wish to maximize the business cost of their commercial enterprise statistics, all the records needs to be purchasable to skills Graphs and linked to the records textile. the new virtual graph capabilities in AllegroGraph show off their commitment to continue to deliver potent knowledge Graphs solutions that power the business facts textile."
AllegroGraph 7.2 makes it possible for users to quite simply virtualize records as part of their AllegroGraph advantage Graph answer. When graphs are virtual, the facts remains within the supply equipment and is conveniently linked and queried with different statistics saved directly in AllegroGraph.
Any information source with a supported JDBC driver will also be built-in into an AllegroGraph expertise Graph, including Databases (i.e. Apache Cassandra, AWS Athena, Microsoft SQL Server, MongoDB, MySQL, Oracle Database); BI equipment (i.e. IBM Cognos, Microsoft PowerBI, RapidMiner, Tableau); CRM techniques (i.e. Dynamics CRM, Netsuite, Salesforce, SugarCRM); Cloud functions (i.e. energetic listing, AWS management, facebook, Marketo, Microsoft teams, SAP, ServiceNow) and Shared facts files (i.e. box, Gmail, Google drive, Office365).
Streaming Graph Pipelines the use of Kafka
companies that need actual-time experiences are beginning to undertake streaming pipelines to deliver
insights that adapt to new statistics in actual-time rather than processing statistics in batches. AllegroGraph is regularly used as an Entity experience talents Graph platform in distinctive settings corresponding to call facilities, hospitals, assurance businesses, aviation corporations and economic firms.
AllegroGraph 7.2 can also be used seamlessly with Apache Kafka, an open-supply dispensed experience streaming platform for top-performance facts pipelines, streaming analytics, records integration and mission-important purposes. through coupling AllegroGraph with Apache Kafka, users can create a true-time determination engine that produces real-time experience streams based on computations that set off certain moves. AllegroGraph accepts incoming hobbies, executes immediate queries and analytics on the brand new records after which retailers events and outcomes.
Graph Analytics with Apache Spark
AllegroGraph 7.2 makes it possible for users to export statistics out of the advantage Graph after which perform graph analytics with Apache Spark, one of the most typical platforms for tremendous-scale information processing. clients immediately gain desktop discovering and SQL database options as well as GraphX and GraphFrames, two frameworks for working graph compute operations on facts.
A key benefit of the use of Apache Spark for graph analytics inside AllegroGraph is that it's developed on accurate of Hadoop MapReduce and extends the MapReduce mannequin to successfully use greater types of computations. clients can entry interfaces (together with interactive shells) for programming total clusters with implicit facts parallelism and fault-tolerance.
Availability of AllegroGraph 7.2
AllegroGraph 7.2 is immediately accessible without delay from Franz Inc. For extra assistance, seek advice from the AllegroGraph short delivery page for cloud and down load alternate options.
AllegroGraph in Use
"We tried to modernize their product monitoring equipment with 3rd celebration utility solutions and in-condominium relational database functions, but without success because relational databases lack the capability to mannequin complicated relationships," observed Mel Yuson, Director commercial enterprise structure, Essilor AMERA, a multinational ophthalmic optics company and the world leader in the design, manufacture and distribution of lenses to suitable or deliver
protection to eyesight. "We crucial the liberty of a schemaless graph database, like Franz’s AllegroGraph, which uniquely provides us the flexibility to conform their facts model and seamlessly add new applications to handle fast growth and changing needs at Essilor."
"We developed and deployed to production their first AllegroGraph based utility in precisely a few months after engaging Franz," added Yuson. "We discovered AllegroGraph’s W3C standard SPARQL question language is a great deal less demanding to make use of than SQL however most significantly, AllegroGraph is a extremely strong and tremendously scalable platform with its Multi-master Replication cluster characteristic. these days, they deploy a couple of AllegroGraph servers within the cloud, which readily handle 100,000 concurrent queries per minute at height hours."
"AllegroGraph’s help of Entity-event statistics Modeling is essentially the most welcome innovation and addition to their arsenal in reimagining healthcare and enforcing Precision drugs," observed Dr. Parsa Mirhaji, Director of core for health information innovations at the Albert Einstein college of medication and Montefiore fitness device, the big apple. "Precision drugs is about moving far from statistical averages and huge-primarily based patterns. It is ready connecting many dots, from diverse contexts and during time, to support precision prognosis and to advocate the precision care that can take into consideration all the delicate adjustments and nuisances of individuals and their personal experiences all the way through their existence. This expertise is set saving lives, by means of leveraging records, context and analytics and is what Franz’s Entity-event statistics Modeling brings to the table."
In September 2021, AllegroGraph turned into recognized via KMWorld as a fashion surroundings Product for 2021. This annual award acknowledges leaders in AI, herbal language processing, desktop getting to know, capabilities graphs, blockchain, and low- and no-code construction, business themes that are shaping the capabilities of products and functions for 2021 and beyond.
Franz Inc. become also selected as one of the crucial massive information 50: agencies using Innovation. This Database developments and applications (DBTA) award is given to groups providing statistics-driven insights by expanding what's possible in terms of collecting, storing, and extracting value from information.
KM World connect
Dr. Jans Aasman, CEO, Franz Inc., will be offering a talk at KM World connect titled, Graph Neural Networks for text Classification and Relation Extraction on November 17, 2021 at 9:00am ET. that you can Register for the convention here.
About Franz Inc.
Franz Inc. is an early innovator in synthetic Intelligence (AI) and main corporation of Graph Database technology with knowledgeable skills in setting up and deploying knowledge Graph options. The foundation for capabilities Graphs and AI lies within the sides of semantic technology offered by AllegroGraph and Allegro CL. AllegroGraph is a graph based platform that allows corporations to extract sophisticated resolution insights and predictive analytics from particularly complex, allotted statistics that can not be uncovered with usual databases. not like traditional relational databases or other NoSQL databases, AllegroGraph employs semantic graph applied sciences that method records with contextual and conceptual intelligence. AllegroGraph is capable of run queries of unparalleled complexity to help predictive analytics that assist agencies make extra informed, real-time selections. AllegroGraph is utilized with the aid of dozens of the exact Fortune 500 organizations international.
To be trained extra about Franz and AllegroGraph, go to franz.com.
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Craig NorvellFranz Inc.firstname.lastname@example.org+1-510-452-2000