Download the slides here>> About the Webinar An AI language model is a type of artificial intelligence (AI) that is trained on a massive amount of text data. This data can include books, articles, code, and other types of text. Once trained, the AI language model can be used to generate text, translate languages, write […]
ADV Webinar: Every Database Is Multi-Modal – What Does This Mean to an Enterprise?
Download the slides here>> About the Webinar Today’s enterprises have an unprecedented variety of data store choices to meet the needs of their varied workloads. Because there is no one size fits all when it comes to data stores, this can lead to confusion and chaos. Enterprises have many needs for databases, including cache, operational, data […]
ADV Webinar: What The? Another Database Model — Vector Databases Explained
Download the slides here>> About the Webinar Vector databases are a type of database that use graph embeddings to represent and compare data, making them ideal for fuzzy match problems. Graph embeddings are created using machine learning algorithms and compress the attributes of data into a low-level representation. The process of creating a new embedding […]
ADV Webinar: Architecting a Modern Data Platform
Download the slides here>> This webinar is sponsored by: About the Webinar Organizations require a comprehensive enterprise data cloud platform to modernize applications and utilize machine learning. This research-based session will discuss the components of modern enterprise data stacks, such as dedicated compute, storage, data integration, and streaming, and focus on total cost of ownership. […]
ADV Webinar: Choosing Your Provider for Implementing a Data Fabric
Download the slides here >> About the Webinar The principle underlying data fabric designs is the loose connection of data in platforms with the applications that require it. When one platform, like AWS, supervises data ingestion while another, like Azure, is in charge of data transformation and consumption, it’s an illustration of a data fabric […]
ADV Webinar: Data Integration — Newsflash: We Still Just Move Data!
Download the slides here >> This webinar is sponsored by: About the Webinar Data integration is a broad term for data movement. While moving streaming data is increasingly important, and data virtualization and data mesh architectures somewhat lessens the need, straight data movement still comprises the vast majority of cycles for data integration. Are you […]
ADV Webinar: 2024 Trends in Enterprise Analytics
Download the slides here>> About the Webinar Recent pullbacks appear to be driven primarily by macro factors. We have a positive outlook on IT budgets in 2024 because we anticipate a loosening of IT expenditures, which have been limited by fears of a recession since 2022. Artificial intelligence and LLMs will get major attention in […]
ADV Webinar: Strategies for Machine Learning Success
Download the slides here>> About the Webinar Enterprises make use of machine learning (ML) to gain actionable analytics and intelligence from a universe of data sets. ML is a critical competitive advantage. ML algorithms are becoming embedded in the fabric of the enterprise as well as all major software in use. Early adopters will reap […]
ADV Webinar: Data Quality – The ROI of Adding Intelligence to Data
Download the slides here>> This webinar is sponsored by: and About the Webinar Data Quality is an elusive subject that can defy measurement and yet be critical enough to derail any project, strategic initiative, or even company. The data layer of an organization is a critical component because it is so easy to initially […]
ADV Webinar: Open-Source vs. Commercial Vendor Software in the Enterprise
Download the slides here>> About the Webinar This study examines the full cost and true value of self-managed software and fully managed services. There have been explosive developments in enterprise open-source software in the past few years, together with a corresponding growth of commercial vendors that close source capabilities that are borderline necessary for […]