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AI – hur långt har vi kommit? – Oskar Malmström, IBM #ibmbpsse18

IBM Sverige

Pyramid Pressefrühstück (Präsentation Intel) München

Pyramid Computer GmbH

The Future of IT Infrastructure

mike d. kail

Finning

arcsset

Watch full webinar here: https://bit.ly/3mPLIlo A shift to the cloud is a common element of any current data strategy. However, a successful transition to the cloud is not easy and can take years. It comes with security challenges, changes in downstream and upstream applications, and new ways to operate and deploy software. An abstraction layer that decouples data access from storage and processing can be a key element to enable a smooth journey to the cloud. Attend this webinar to learn more about: - How to use Data Virtualization to gradually change data systems without impacting business operations - How Denodo integrates with the larger cloud ecosystems to enable security - How simple it is to create and manage a Denodo cloud deployment

A Successful Journey to the Cloud with Data Virtualization

Denodo

Produktdatenmanagement mit Neo4j

Neo4j

Guide to big data analytics

Gahya Pandian

Enterprise Ready: A Look at Neo4j in Production at Neo4j GraphDay New York City

Neo4j

Watch full webinar here: https://bit.ly/3idAnbf Heute werden hochwertige Daten schnell und integriert benötigt, mittlerweile häufig auch über unterschiedliche Clouds hinweg. Datenvirtualisierung kann hier als logische Datenschicht wahre Wunder wirken und die Modernisierung der Datenarchitektur drastisch beschleunigen. In unserem kostenlosen Webinar interviewen wir den Experten Otto Neuer von Denodo, der die hier nur angerissenen Gedanken weiter ausführt. Er wird uns Einblicke in den Wandel von Datenarchitekturen geben und wie aus seinem Blickwinkel die nächste Phase der Business Intelligence aussieht. Was Sie mitnehmen: - Was sind die Herausforderungen und Limitierungen traditioneller Datenarchitekturen - Wie können mit modernen Architekturen diese Limitierungen aufgehoben werden - Welche Rolle spielt Datenvirtualisierung bei modernen Datenarchitekturen - Was ist die nächste Phase der Business Intelligence Erfahren Sie am 23. September 2020, den Experten Otto Neuer von Denodo zusammen mit unserem Partner QuinScape GmbH wird uns Einblicke in den Wandel von Datenarchitekturen geben und wie aus seinem Blickwinkel die nächste Phase der Business Intelligence aussieht. Sie haben Interesse? Dann melden Sie sich am besten direkt an - die Plätze der Veranstaltung sind begrenzt.

Datenvirtualisierung: Wie Sie Ihre Datenarchitektur agiler machen (German)

Denodo

The Role of Artificial Intelligence in Corporate Innovation

Dickson Lukose

Trender, inspirationer och visioner - Mikael Haglund #ibmbpsse18

IBM Sverige

Knowage BIG DATA VISUALIZATION @bdp2020

KNOWAGE

Ancestry Microstrategy World 2015 Presentation

David Sanders

Applications of Big Data Techniques for Social Analytics

Dickson Lukose

DataHero spoke at Strata+Hadoop World on architecting for cloud data, the opportunities and challenges it poses. Big data isn't the only way to get data-driven insights anymore. Data is an integral part of an organization but a lot of this data now comes from cloud services. We need to find a way to make accessing and charting cloud data easier and faster. Chris Neumann, CEO and Cofounder of DataHero, outlines how.

Strata 2015 - Architecting For The Cloud

DataHero

Find out why your AI (Artificial Intelligence), ML (Machine Learning) and IoT (Internet of Things) strategy is dependent on a robust data platform. We will explore why Data Lakes are the future of EDP (Electronic Data Processing), Data Warehouse and Data Archive, and how Qubole enables this via their open and secure cloud computing data platform. Learn why Data Lakes are critical for your business to keep your customer’s personal information security when under attack. About the presenter: Brian Flūg has decades of worldwide demonstrated experience as a pioneering Technologist with expertise in big data, analytical, distributed intelligent cloud computing, HPC, IoT wizard, HPC/ML/AI data storage, data intelligence and CAE/CAD/CAM/CFD. He has experience in life sciences, medical, financial, entertainment, gaming, manufacturing, defense, DOE, DOJ, automotive and consumer goods industries. Brian is a Solutions Strategist with Qubole who has demonstrated success in computational solutions, from supercomputing, cluster and grid computing, to pre and post cloud computing, research, business intelligence, scientific analytics and engineering. He brings a wealth of knowledge to his role supporting Qubole customers and ensuring they are maximising their return from the tool.

Idera live 2021: Why Data Lakes are Critical for AI, ML, and IoT By Brian Flug

IDERA Software

Digital transformation efforts, and developing data maturity often lead to organizations requirements changing. This means new databases - both cloud and on-premises - need to be implemented, and new types of data need to be processed and managed. Key here, is a flexible tool for managing multiple databases. In this session, Bert Scalzo explains the benefits of Aqua Data Studio - one tool to manage a wide array of databases environments whether cloud, on-premises or hybrid. Meaning you can manage more, with less. About the presenter: Bert Scalzo is an Oracle ACE, blogger, author, speaker and database technology consultant. He has worked with all major relational databases, including Oracle, SQL Server, DB2, Sybase, MySQL, and PostgreSQL. Bert’s work experience includes stints as product manager for multi-database tools such as DBArtisan and Aqua Data Studio at IDERA, and chief architect for the popular Toad family of products at Quest Software. He has three decades of Oracle® database experience and previously worked for both Oracle Education and Oracle Consulting. He holds several Oracle Masters certifications and his academic credentials include a BS, MS and Ph.D. in computer science, as well as an MBA.

Idera live 2021: Managing Digital Transformation on a Budget by Bert Scalzo

IDERA Software

Read the full post at https://www.fourquadrant.com/gartner-go-to-market-strategy/ Gartner's IT Predictions Key technology drivers that will impact go to market strategy and tactics include: intelligent things, collecting massive amounts of data, artificial intelligence and machine learning. Gartner identifies 3 key themes that form the basis for the Top 10 strategic technology trends: - Intelligent - Digital - and Mesh The technologies noted above are at the front-end of the technology adoption curve but are expected to break out of an emerging state and stand to have substantial disruptive potential across industries. Read Pragmatic Posts on B2B Marketing - https://www.fourquadrant.com/marketing-resource-blog/ Download Go to Market Templates (FREE) - https://www.fourquadrant.com/marketing-tempates/ View the Go to Market PowerPoint Slide Library - https://www.fourquadrant.com/marketing-slides/ Leverage Proven Go to Market Planning Templates - https://www.fourquadrant.com/products/

Gartner Go to Market Strategy Assumptions

Four Quadrant LLC

Semantic Data Lake

Dickson Lukose

OBACS - SCINET Brochure

Coskun Oba

What's hot (20)

AI – hur långt har vi kommit? – Oskar Malmström, IBM #ibmbpsse18

Pyramid Pressefrühstück (Präsentation Intel) München

The Future of IT Infrastructure

Finning

A Successful Journey to the Cloud with Data Virtualization

Produktdatenmanagement mit Neo4j

Guide to big data analytics

Enterprise Ready: A Look at Neo4j in Production at Neo4j GraphDay New York City

Datenvirtualisierung: Wie Sie Ihre Datenarchitektur agiler machen (German)

The Role of Artificial Intelligence in Corporate Innovation

Trender, inspirationer och visioner - Mikael Haglund #ibmbpsse18

Knowage BIG DATA VISUALIZATION @bdp2020

Ancestry Microstrategy World 2015 Presentation

Applications of Big Data Techniques for Social Analytics

Strata 2015 - Architecting For The Cloud

Idera live 2021: Why Data Lakes are Critical for AI, ML, and IoT By Brian Flug

Idera live 2021: Managing Digital Transformation on a Budget by Bert Scalzo

Gartner Go to Market Strategy Assumptions

Semantic Data Lake

OBACS - SCINET Brochure

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