Organizations are recognizing that data can be a powerful business asset, and are investing in data analytics to provide this valuable tool. According to research, more than 95% of all organizations today incorporate data initiatives into their business strategies. However, most businesses falter when it comes to effective and efficient uses of data. Descriptive analytics, the most […]
Informatica Demo: Bring Data to Life With Informatica’s Intelligent Data Management Cloud
Download the slides here>> Informatica’s Intelligent Data Management Cloud™ (IDMC) is a comprehensive data management cloud solution that can grow your business with trusted data for analytics and AI, reduce costs and improve process efficiencies with automated workflows, provide a single source of truth for better CX and increase ROI with a modern multi-cloud/hybrid […]
ADV Webinar: Architecture, Products, and Total Cost of Ownership of the Leading Machine Learning Stacks
To view just the slides from this presentation, click HERE>> About the Webinar Organizations today need a broad set of enterprise data cloud services with key data functionality to modernize applications and utilize machine learning. They need a comprehensive platform designed to address multi-faceted needs by offering multi-function data management and analytics to solve the […]
ADV Slides: Architecture, Products, and Total Cost of Ownership of the Leading Machine Learning Stacks
Architecture, Products, and Total Cost of Ownership of the Leading Machine Learning Stacks from DATAVERSITY To view the On-Demand recording from this presentation, click HERE>> About the Webinar Organizations today need a broad set of enterprise data cloud services with key data functionality to modernize applications and utilize machine learning. They need a comprehensive platform designed […]
A Powerful Pair: Modern Data Warehouses and Machine Learning
Artificial intelligence (AI) technologies like machine learning (ML) have changed how we handle and process data. However, AI adoption isn’t simple. Most companies utilize AI only for the tiniest fraction of their data because scaling AI is challenging. Typically, enterprises cannot harness the power of predictive analytics because they don’t have a fully mature data strategy. To […]
The Future of Deep Learning
Deep learning (DL) became an overnight “star” when a robot player beat a human player in the famed game of AlphaGo. Deep learning training and learning methods have been widely acknowledged for “humanizing” machines. Many of the advanced automation capabilities now found in enterprise AI platforms are due to the rapid growth of machine learning […]
Why Embedded BI Is the Best Option for Analytics
When a business considers the implementation of an analytics solution, it may be focused on choosing the easiest, most flexible solution to encourage its users to make analytics part of the process and to incorporate it into everyday tasks to achieve better results. When a business offers embedded BI tools with integration APIs, it provides the […]
Companies Must Develop New Data Muscles to Pivot to Profitable Growth
As the economic environment becomes more somber, companies are focusing on achieving profitable growth and not just growth. Data-driven decisions can accelerate this goal, but organizations must develop new data muscles to get them there. The last few months have been a whirlwind for the business world: slowing growth, bleaker capital markets, layoffs, the possibility […]
The Semantic Lakehouse Explained
Data lakes and semantic layers have been around for a long time – each living in their own walled gardens, tightly coupled to fairly narrow use cases. As data and analytics infrastructure migrates to the cloud, many are challenging how these foundational technology components fit in the modern data and analytics stack. In this article, […]
Democratizing Data to Promote Business Growth
Data democratization, the process of making information accessible to all employees and stakeholders regardless of their technical background, is critical to make data-driven decisions across an organization. However, democratizing data can be complex. Most organizations have a wide gap between business employees, leaders, and data creators due to silos, a lack of data literacy, and a […]