A world that grows increasingly complex calls for disruptive innovation in an open, collaborative environment. See how open data science provides an ecosystem of expertise, skill sets and advanced open source data science tools that fuels collaborative creativity in the development and deployment
How do you handle your semi-structured data? In this whitepaper from IBM Cloud Data Services, find out how keeping your data warehouse on the cloud can help you gain the competitive advantage by freeing valuable resources.
Use open-source tools to supercharge the data science lifecycle, giving data science teams a boost as they work to provide compelling results in the complex team environments that mark modern corporations. Learn how you can make open data science an ongoing part of your business environment when
Once a year, one of the smallest towns in Denmark becomes the fourth largest in the country during Europe’s Roskilde Festival. Fast, scaled and optimized, data keeps all 130,000 guests safely fed, hydrated and informed—in a sustainable, efficient and well-organized way.
Whether organizations want to extract customer data beyond names and addresses from unstructured data sources; pull specific dates, times or monetary amounts; predict trends from sentiment data; or engage in many other uses, text analytics is the way to go. Learn the details of text analytics, and
A growing number of businesses and industries are finding innovative ways to apply graph analytics to a variety of use-case scenarios because it affords a unique perspective on the analysis of networked entities and their relationships. Gain an understanding of how four different types of graph
Do you want to win the race to insight and beat your competition? If so, it’s time to rev up your analytics strategy. Explore how analytics platforms fueled by trusted information, designed for hybrid environments, and built on open technology can put you in the winner’s circle.
Businesses can benefit enormously from analysis-derived rules that enable understanding why certain events occur and the corresponding actions to take. Learn more about a widely used six-phase methodology for building predictive analytics models that can reveal hidden rules for meaningful business
Flight is perhaps humanity’s oldest dream, brought from concept to reality over the course of millennia. Today, businesses can chart a flight plan for their data, taking it where it needs to be even in cloudy skies and uncertain conditions. Find out how modern approaches to data and data
The really cool thing about big data and multiple data sources for today’s advanced, web-based applications is that a variety of open source databases can provide specialized support for different application components. If you’re involved in application development, discover why achieving polyglot
Open source is a disruptor that never quits, and it is seemingly penetrating and transforming every aspect of established data, analytics and application ecosystems. Give this podcast, recorded at IBM InterConnect 2016, a listen to learn how open source initiatives are transforming machine learning.
As a foundation for data lakes and refineries, NoSQL databases provide access, processing and storage to structured and unstructured data for high-performance statistical modeling and exploration. Take a look at the multitude of advantages of NoSQL databases and opportunities to bridge them to open
The insights that lie undiscovered in business data can often provide both short- and long-term competitive advantages. Find out how agile analytics platforms are helping put information in context by cataloging, integrating and aligning data.
The world of data has faced incredible changes over the past few years, and organizations are struggling to keep up. In this shifting landscape, we've found that flexible deployment options—and cloud-based data warehouse solutions—might offer answers to IT professionals.
Performing programmatic actions on data across services is quite possible in today’s technology ecosystem. And now, the transfer of data across services such as the dashDB data warehouse and deploying it in new environments is also possible. However, the questions often asked by customers center on