Intelligent Business Strategies

Featured Content

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The Business Value of Kubernetes in an Analytical Environment

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Building Big Data Analytical Applications at Scale Using Existing ETL Skillsets

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Smart Infrastructure & Smart Applications for the Smart Business – Infrastructure & Application Performance Monitoring

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Interactive Data Exploration Using a Context-Aware Analytics Engine

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The Impact of Big Data on ETL

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Accelerating Data Science Using Machine Learning Automation

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Interactive Data Exploration with an In-Memory Analytics Engine

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Practical Guidelines for Implementing a Data Mesh (5-6 November 2024, UK Livestream Training)

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Data Catalogs – Governing & Provisioning Data in a Data Driven Enterprise (16 October 2024, Stockholm)

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Data Virtualisation – Flexible Technology for the Agile Enterprise

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Unified Data Integration in a Distributed Data Landscape

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Delivering Operational Analytics using Spark and NoSQL Data Stores

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Embedded Analytics, Intelligent Apps & AI Automation (8 November 2024, UK Livestream Training)

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Building a Competitive Data Strategy for a Data Driven Enterprise (26 November 2024, Amsterdam)

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IoT Analytics Architecture

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Governing Data across a Distributed Data Estate

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Architecting a Big Data Platform for Analytics

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Accelerating Workload Migration to the Cloud using Data Virtualisation

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Enabling a Customer Data Platform Using Data Virtualisation

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A Universal Data Authorisation Security Fabric for the Data Driven Enterprise

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Eight Steps to Deploying an Enterprise Portal – Part Six

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Modern Data Architecture (10-11 December 2024, Italy Livestream Training)

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Scalable, In-Memory SQL on Hadoop – Why Open Source is Not the Only Option

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Modern Data Architecture (17-18 October 2024 Stockholm)

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A Practical Guide to Implementing a Data Mesh (11-12 November 2024, Italy Livestream Training)

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Active Intelligence for Smart Business

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Embedded Analytics, Intelligent Apps & AI Automation (27 November 2024, Amsterdam)

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Data Intelligence – Curating Business Ready Data and Analytics in a Data Driven Enterprise

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Industrialising Data and AI for The Real-time Enterprise

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Data Observability – What Is It and Why Should You Care?

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Are Data Catalogs Important in a Data Driven Enterprise?

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Asset Performance for Smart Manufacturing

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Data Warehouse Automation & Real-time Data – Reducing Time to Value in a Distributed Analytical Environment

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The Value of Data Fabric in a Data-Driven Enterprise

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Simplifying Data Connectivity in a Data-Driven Enterprise

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Shortening Time to Value by Building Data Products in a Lakehouse

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Organising the Data Lake – The Central Role of an Information Catalog

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Edge Advanced Analytics

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Data Fabric, Data Mesh or Both – What is Best for Your Organisation?

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Data Strategy: Building The Foundation of a Data-Driven Enterprise (13-14 November 2024, Italy Livestream Training)

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The Challenge of Big Data

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The Value of Data Virtualisation in a Data Mesh

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Data Science Workbenches & Machine Learning Automation

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Building a Modern Data Warehouse on a Distributed Data Cloud

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The Business Value of Master Data

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The Enterprise Data Refinery

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Challenges of Migrating your Data Warehouse to the Cloud

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IoT Analytics Architecture

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Conquering Data Complexity – Using Smart Data Management

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Self-Service Data Integration, Data Discovery & Analysis for the Citizen Data Scientist

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Maximising the Value of Your BI and Machine Learning Models in a Data-Driven Enterprise

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An Analytical Platform for the Smart Enterprise

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Data Mesh: Practical Guidelines for Implementation (15-16 October 2024, Amsterdam)

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Reducing ETL Costs and Integrating Analytical Workloads in Hyperscale Data Warehousing

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Data Catalogs: Governing & Provisioning Data in a Data Driven Enterprise (12 December 2024, Italy Livestream Training)

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Streaming Analytics & Embedded BI – the Route to Always On Smart Business Operations

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Trends in Establishing a Data Driven Enterprise

Data Management

Data Management

BI / ML / AI

BI / ML / AI

Big Data

Big Data

Intelligent Business

Intelligent Business

Conferences

Data Universe 2024

BASED IN NYC, BUT BUILT FOR A GLOBAL COMMUNITY, DATA UNIVERSE IS POISED TO BE THE REGIONAL NEXUS OF DATA AND AI EVENTS.

 

We’re excited to be introducing a comprehensive data and AI event in the largest and most important center of industry and power in the world, New York City.

Bringing delegates from around the world to participate in pivotal conversations to shape outcomes, policy, and innovations globally, Data Universe offers the unique opportunity for these diverse communities to share their expertise across industries while growing their perspectives, skills, and networks.

Developed by RX Global, in collaboration with our leading data event in the UK, Big Data LDN, Data Universe brings together the entire ecosystem of industry players for two powerful days of groundbreaking content in data, analytics, AI and beyond, April 10-11, 2024, at the North Javits Center in New York City.

Mike Ferguson will be presenting the following sessions:

Wednesday 10th April 1:55pm-2:30pm on the Analytics & Business Intelligence Stage

AI for Business (and why Data Matters)

In this fireside chat, Mike Ferguson—Europe’s leading industry analyst in data management and analytics—talks to Rob Thomas, Senior Vice President and Chief Commercial Officer at IBM on what IBM is doing to help companies get maximum business value from data and AI.

In this executive debate, leading industry analyst Mike Ferguson welcomes leaders from premier software companies to discuss key topics in data management and analytics. Panelists will debate the impact of Generative AI, the implications of key industry trends, how best to deal with real-world customer challenges, how to build a modern data and analytics (D&A) architecture, data and AI governance and sharing, and on-the-horizon issues that companies should be planning for today.
Attendees will learn best practices for data and analytics implementation in a modern data-driven enterprise from seasoned executives and experienced analysts in a packed, unscripted, candid discussion.
Thursday 11th April 12:10pm – 12:30pm on the Data Engineering & Infrastructure Stage

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