Take a seat on the rocket ship and join us as a summer intern within our technology department. We're a global team of builders, listeners and problem-solvers who are relentlessly focused on making life simple, so our customers can get back to growing their business, engaging consumers and doing what they love. At Xplor, the Central Technology Team has one main purpose: to enable and complement the business strategies and goals while solving real problems for our customers and users. We have dozens of applications in our everyday-life verticals that all have their technology uniqueness and their individual purpose. We also use some of the latest technology in Microsoft Azure, AWS, and Containers and are constantly looking to find innovative new ways to meet the challenges of running a unique global business.

People often confuse data science and data engineering, although this is not the case. Let us have a better understanding of this. Data science is a multi-disciplinary. It uses scientific techniques, procedures, algorithms, and technologies to extract information and insights from structured and unstructured figures. It then applies that knowledge and valuable insights across a variety of application areas.

A trend we've been tracking for several years now is how the data science profession has steered away from being entirely independent, do-it-all unicorns into a more specialized work. It's by no means that individuals with deep knowledge in several domains have disappeared, but rather, the need for data science has grown, and teams have increased in headcount. It's not just that there are more cooks in the kitchen, but also machine learning solutions are much more ambitious in scope. It's becoming more important to think about the competencies of a team rather than expecting every individual to be an expert at everything related to machine learning. This is very similar to software engineering roles diverging into backend, front-end, and DevOps engineers.

BootstrapLabs is pleased to announce the return of its annual Applied Artificial Intelligence Conference on May 11, 2017, in San Francisco, the heart of the most advanced AI community in the world. The Applied AI Conference is a must-attend event for people working, researching, building, and investing in Applied Artificial Intelligence technologies and products. The event is focused on practical applications and current commercialization of AI technologies across industries such as Transportation & Logistics, Internet of Things (IoT), Future of Work (FoW), Financial Technologies (FinTech), CyberSecurity, and Healthcare Technologies (HealthTech). It also explores how AI is impacting society, the enterprise, and you! The 2017 conference agenda will provide insights into the present and future impact of AI on your organization, as well as in your daily life.