In the development world, we’re constantly being bombarded by new innovations with the potential to change our world. 5G, augmented reality, machine learning… there’s probably never been a more fertile and exciting time to be a developer.

Since starting out in 2011, we at Mobile Jazz have been privileged to build some of the world’s most popular apps, accumulating a combined total of over 500 million downloads across all our products. When dealing with apps of this reach and popularity, testing is crucial: a slight glitch that sneaks through the QA process will result in a deluge of complaints.

To say that organizations today are facing a complex data landscape is really an understatement. Data exists in on-premises systems and in the cloud; data is used across applications and accessed across departments. Information is being exchanged in ever-growing volumes with customers and business partners. Websites and social media platforms are constantly adding data to the mix.

Today, we're excited to share two announcements that make adopting Microsoft Azure SQL Data Warehouse (ADW) a no-brainer. First, ADW significantly increased the lead over the competition with the new price-performance benchmarks published by GigaOm, showing exponential price-performance improvements over similar solutions.

Artificial intelligence became one of the hottest tech topics in 2017 and is still attracting attention and investments. Although scientists have been working on the technology and heralding its numerous anticipated benefits for more than four decades, it’s only in the past few years that society’s artificial intelligence dreams have come to fruition.

Qlik is at the forefront of bringing augmented intelligence even further into analytics, helping business users scale their ability to explore and surface key insights from all their data. As we expand the role and use of analytics through our customer organizations, we know that making it easier for users to interact with data is essential to both increased adoption and higher data value.