From the erwin DM 15.2 release to the convergence of Data and AI Quest Trusted Data Management Platform<\/strong> It is an integrated solution that allows the definition and implementation of a complete Data Management, Data Quality and Data Governance strategy for AI artefacts, such as AI Data Products. \n Turning data into value, through an advanced Data Governance strategy, focused on results and business decision support We transform information into data-driven decisions, integrating advanced analytics and Gen AI to accelerate insight, automation, and business value. <\/p>\n\n\n\n\n Professional training is an agile and strategic method, designed to support ICT organisations through change. Consultancy that partners with the client, guiding the adoption of new technologies with methodology, continuous support, and measurable results. <\/p>\n\n\n\n\n\n\n\n The suite that transforms models and documentation into shared knowledge, thanks to ER-Enricher and AIglossary. <\/span><\/p>\n\n\n\n\n\n\n\n How do you truly govern an IT service in the age of GenAI? Tecnet Dati has renewed its certification, with praise from the auditors, of the Company Quality System<\/strong>consultancy the establishment, application and dissemination (training) of organisational, methodological and technological approaches relating to the software development process<\/strong>. Advice on project management and execution<\/strong>. Tecnet Dati, an Italian Platinum+ Partner of erwin by Quest<\/strong>, supports organisations in adopting the Quest Trusted Data Management suite, the integrated solution that guarantees Data quality, governance, context and traceability<\/strong> also in support of AI artefacts and Agents.
Milan \u2013 26 May, 9.45 AM
Rome \u2013 27 May, 9.45 AM
\u201cNo Data, No AI Party.\u201d Quality data, metadata, context, and AI artefacts are now inseparable. From this convergence emerge AI Data Products, the new paradigm that transforms Data Management into an accelerator of innovation and productivity.
During the event, we will explore how to recover past knowledge, leverage under-documented databases, and create concrete AI Data Products, addressing real-world cases and new operational challenges.
Sign up for the event rcomes@tecnetdati.it<\/a><\/p>\n\n\n\n\n\n\n\n\n\nQuest Trusted Data Management Platform <\/h2>\n\n
\nQuest Data Modeler complements erwin Data Modeler<\/strong>, leading solution in Data Modelling<\/strong>. Operating exclusively on Quest Cloud, it offers the core functionalities of erwin DM focused on cloud data platforms. The two solutions are fully integrable, ensuring continuity and flexibility. \n
\nFurthermore, they integrate advanced techniques of Artificial Intelligence<\/strong>, allowing for a significant increase in productivity in design activities and daily operational management. \n
\nAs Experienced partners in Data Modelling<\/strong>, Adventure<\/strong> has requested an official statement on the new Quest Data Modeler, included in Press release<\/a><\/p>\n\n\n\n\n\n\n\n\n\n\nOur four pillars<\/h2>\n\n\n\n\n\n\n
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<\/p>\n\n\n\n\n
This question is answered by the book The continuous improvement of IT services in the age of artificial intelligence<\/em> by Giorgio Marras and Flavio Gaj.
A practical handbook for managers and IT professionals that addresses today's IT Service Management, covering GenAI, Cloud, Big Data, new regulations (DORA, NIS2) and cultural change.
<\/span>Tools, methods, and concrete examples for transforming IT into a true strategic enabler<\/strong><\/span>.
For those who want to master digital complexity, not be overwhelmed by it.
Available in bookstores and on Amazon<\/a><\/span>.<\/p>\n\n\n\n\n
This quality training certification allows Clients to benefit from Tecnet Dati instructors through training courses funded by national and European bodies.
Approved ISO Certified 9001:2015 – Consulenza e formazione (IAF: 33, 37) <\/em><\/span><\/p>\n\n\n\n\n
Thanks to Data and Semantic Lineage, the platform helps to manage errors, inconsistencies, and semantic complexity., Transforming Data Management into a true productivity accelerator<\/strong>, where weeks become days and days become hours. <\/span><\/p>","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"pagelayer_contact_templates":[],"_pagelayer_content":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"disabled","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"class_list":["post-256","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/tecnetdati.com\/en\/wp-json\/wp\/v2\/pages\/256","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/tecnetdati.com\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/tecnetdati.com\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/tecnetdati.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/tecnetdati.com\/en\/wp-json\/wp\/v2\/comments?post=256"}],"version-history":[{"count":147,"href":"https:\/\/tecnetdati.com\/en\/wp-json\/wp\/v2\/pages\/256\/revisions"}],"predecessor-version":[{"id":1329,"href":"https:\/\/tecnetdati.com\/en\/wp-json\/wp\/v2\/pages\/256\/revisions\/1329"}],"wp:attachment":[{"href":"https:\/\/tecnetdati.com\/en\/wp-json\/wp\/v2\/media?parent=256"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}