There are a variety of technology stacks for Artificial intelligence (AI), Machine learning (ML) and data analytics applications. However, the ideal programming language for AI must be powerful, scalable and readable. All three conditions are met by the Python programming language. With outstanding libraries, tools and frameworks for AI, ML and data analytics, Python has proven success leveraging all three technologies.
Data has become the lifeblood of most organizations. Yet, despite using data almost daily to make critical business decisions, few organizations have complete visibility into the health and usage of their data. Moreover, as the acceleration of data usage has increased, so too has the complexity of data systems, increasing the risks of data-related issues and making it even more difficult to identify and resolve issues related to data quickly.
Do you recall what your first password was? It was probably something easy that you could remember easily, such as your birthdate or the name of your pet. However, as you created additional online accounts, your passwords grew more complex and difficult to remember. It's a problem that many people face. As a result, many of us tend to reuse passwords across many accounts, exposing our personal information to theft.
As Agile and DevOps development methodologies have matured over the past decade, companies have made great strides in creating software development platforms that are open and integrated. These platforms have greatly improved the efficiency and collaborative capability of development teams. They have helped break down silos of work, improve communication and clarity, and provide visibility into all activities in software development.
Rails' batteries-included approach is one of its greatest assets. No other framework makes it so effortless to get your application off the ground quickly, at least partially due to Rails' generators. If you've used Rails for any amount of time, you have come across generators. Need to create a new application? Run rails new. Need to scaffold a bunch of new models and views? Run rails generate scaffold. There are dozens more available to help you get started rapidly or streamline your workflow.
The reality is.... Mobile testing is hard! But with the right planning and forethought, you can avoid common pitfalls that can undermine your well-intentioned efforts. Read on to discover how to avoid our top four testing mistakes.
In today's digital landscapes, businesses are constantly looking for strategies to differentiate themselves from their competitors. Web and mobile applications have become a must-have and effective marketing tool for any successful organization. User-friendly applications are built using frameworks. Angular and AngularJS are the most popular front-end web development frameworks among the greatest JavaScript frameworks.
Artificial intelligence (AI) has been a focus for research for decades, but has only recently become truly viable. The availability and maturity of automated data collection and analysis systems is making it possible for businesses to implement AI across their entire operations to boost efficiency and agility. AI has the potential to transform operations by improving three fundamental business requirements: process automation, decision-making based on data insights, and customer interaction.
Being a finance professional is stimulating and rewarding, but it comes with a set of unique challenges. The accuracy and timeliness of information is essential, yet for most organizations, the volume and complexity of financial information is growing continuously. Simply working harder doesn’t seem to solve the problem; finance professionals must work smarter, applying the right tools to get the job done quickly, efficiently, and accurately.
