Government innovation isn’t an oxymoron. Agencies at every level of government are responding to expanding mission requirements and rising citizen expectations by developing new applications and services that take advantage of mobile, cloud, data analytics, and other emerging technologies. They are also looking for ways to automate processes, so they can work smarter and deliver services more efficiently, despite constrained budgets.
But today’s applications and services, and the ways they are consumed, are significantly different than in the past. They must be adaptable and integrate with new and existing applications more efficiently. They must be developed faster, and seamlessly scale across heterogeneous environments that include physical, virtual, mobile, and cloud resources. Unfortunately, the middleware infrastructure used in the past is simply not agile, productive, or cost-effective enough to deliver on these new requirements, causing many agencies to struggle in their efforts to streamline operations and improve services.
This tutorial describes how data scientists and developers can build an application to predict flight delays. The app uses machine learning (Spark MLlib), fueled by publicly available airplane flight data and enriched with weather data, to predict flight delays due to weather conditions. In the event that a delay is likely, the app can also help determine the degree to which the flight will be delayed. To build the app, you will learn how to use a Get-Build-Analyze methodology and the IBM® Analytics for Apache® Spark™ service, which includes an interactive Jupyter Notebook. Learn how to:
Get started building this flight prediction application, and gain inspiration for your next data science projects.
Read this complimentary copy of the 2016 Gartner Magic Quadrant for iPaaS, and find out why MuleSoft was named a Leader based on completeness of vision and the ability to execute.
This brief API management best practices eBook will give API strategists, architects and developers a roadmap for creating practical APIs by leveraging existing services. By following the 7 best practices outlined in this ebook, developing successful APIs is easier than you think.
The best practices guide will cover:
Today's business environment is extraordinarily competitive. No company, no matter its size or what industry it is in is safe from disruption. To mitigate this risk, it's important to consider implementing microservices best practices in order to change quickly, innovate easily, and meet competition wherever it arises.
Organizations that have successfully laid a foundation for continuous innovation and agility have adopted microservices architectures to respond rapidly to the never-ending demands of the business.
In this whitepaper, we will address:
Download this case study to learn how they:
IT leadership is changing. No longer can the IT function exist in a back office or ivory tower, furnishing laptops and repairing broken printers. Customers are demanding access to the business, companies must innovate faster than ever, and the marketplace is rewarding innovation, agility, and flexibility.
In order to keep up, the modern business has to think about how to transform itself to keep pace with the always-on, always connected world. Because CIOs are well versed in how technology can deliver business results, they are the ideal leaders to shepherd the modern business through the changes brought about by digital disruption. Here’s the roadmap to guide the way.
Download this paper to learn:
View IBM's privacy policy here
If you’re an executive responsible for delivering line-of business solutions to market, then you understand the challenges. Whether they take the form of code delays due to API creation, deployment bottlenecks, or challenges around rapid scaling to meet demand, all the weight is on your shoulders.
Fortunately, there are solutions that can help. In this white paper you’ll:
View IBM's privacy policy here