Remove challenges-to-the-modern-data-stack
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3 Inherent Challenges to the Modern Data Stack

Dataiku

The collection, analysis, and operationalization of data has never been easier or faster thanks to the modern data stack — today, it’s widely considered the sustainable way for small to midsize companies and teams to become data-driven. However, that doesn’t mean it’s completely without obstacles.

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AI Innovations in Data and Analytics at SAP

David Menninger's Analyst Perspectives

Data and analytics have become increasingly important to all aspects of business. The modern data and analytics stack includes many components, which creates challenges for enterprises and software providers alike. In our most recent Analytics and Data Buyers Guide SAP was rated Exemplary and an overall leader.

Analytics 130
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How strategic partnerships are the key to AI-driven innovation

CIO Business Intelligence

The real power of the technology is its ability to draw on disparate data sets and connect workflows. Developing a data-led strategy The first, and most critical step in the process is accessing, integrating, and curating the underlying data that will be used to train and power AI models. This is a challenge for many CIOs.

Strategy 138
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OneFamily’s response to the data quality question

CIO Business Intelligence

But hearing those voices, and how to effectively respond, is dictated by the quality of data available, and understanding how to properly utilize it. “We We know in financial services and in a lot of verticals, we have a whole slew of data quality challenges,” he says. Traditionally, AI data quality has been a challenge.”

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The hybrid approach: Get the best of both mainframe and cloud

CIO Business Intelligence

But getting to that point presents some unique challenges. Even with the benefits of cloud, there’s a reason that over 70 % of Fortune 500 companies’ data is stored on the mainframe. Even with the benefits of cloud, there’s a reason that over 70 % of Fortune 500 companies’ data is stored on the mainframe.

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Building a unified developer experience for z/OS and cloud applications with the IBM Z and Cloud Modernization Stack

IBM Big Data Hub

For enterprises to match scale and speed, it is critical to modernize their core business applications to accelerate innovation. However, for many, there are perceived challenges as they start their journey. Modernization is not a new term. Most executives have it as a key priority.

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EclipseStore enables high performance and saves 96% data storage costs with WebSphere Liberty InstantOn

IBM Big Data Hub

EclipseStore, a groundbreaking data storage platform from MicroStream , is revolutionizing the development of cutting-edge software applications. Programming languages like Java have incompatible object models with today’s database-specific data structures and formats. Simple implementation that enables faster time-to-market.