News

Data analytics trends, latest news, upcoming workshops, and more

Alteryx Promote Is Now Generally Available

March 20th, 2018

Alteryx Promote extends the Alteryx Platform to deliver that “Last Mile” in the analytics process — making analytics actionable. In most organisations today there is a real disconnect between data science teams and developers or software engineers.

IDC: Staying Ahead of the Game with Artificial Intelligence

March 15th, 2018

Machine learning as an effective means to achieve artificial intelligence (AI) is no longer just hype, but an emerging reality.

This IDC anlaysis takes a closer look at the global AI landscape and how organizations are increasingly embracing AI to positively transform their business and stay ahead of the competition.

Qlik Positioned in Leaders Quadrant of Gartner’s Magic Quadrant for Analytics and Business Intelligence Platforms for 8th Consecutive Year

March 13th, 2018

Qlik® has been positioned by Gartner  in the Leaders quadrant of the Magic Quadrant for Analytics and Business Intelligence Platforms*. This marks the 8th consecutive year that Qlik has been positioned in the Leaders quadrant.

“We are delivering immense value to customers while expanding the definition of what it means to be a leader in the BI industry,” said Mike Capone, Qlik CEO. “With an enterprise-class platform that can expand into every part of their business, Qlik is helping to drive customers to leadership positions in the Analytics Economy.

DataRobot announced to be AWS Machine Learning Partner

March 8th, 2018

Recently, DataRobot achieved AWS Machine Learning Competency Status and announced its approval as an AWS Machine Learning Partner. Now, with DataRobot on Amazon Web Services (AWS), you can apply all the benefits of the cloud to your machine learning initiatives.

Gartner recognized Alteryx as a leader within the 2018 Magic Quadrant for Data Science Platforms

March 6th, 2018

Gartner has recognized Alteryx a Leader based on its ability to execute and completeness of vision. In addition, Alteryx achieved the highest placement for its ability to execute in the leaders’ quadrant.

We believe placement in the leaders’ quadrant validates our ability to allow users to discover, share and prep data, perform analysis - statistical, predictive, prescriptive and spatial - and deploy and manage analytic models using our end-to-end analytics platform.

Why Data Diversity Is A Crucial Success Factor?

March 1st, 2018

The vast increase in the amount of data we are able to generate, store and examine, thanks to the IoT and our always-online world, is what has really made it possible though.

Of course, business using information to make better decisions is nothing new.

Alteryx Continues to Build Momentum with Significant Industry Awards

February 27th, 2018

Analytics Company Recognized Five Times in Just Two Months for Growth, Customer Satisfaction and Impact on the Market
Alteryx, has been honored with numerous industry awards on a local, national and global scale. These recognitions help round out what is already a pivotal year for Alteryx, and continues to build momentum within the competitive data analytics space.

Data Science Central: 6 Predictions about Data Science, Machine Learning, and AI for 2018

February 20th, 2018

It’s that time of year again when we do a look back in order to offer a look forward.  What trends will speed up, what things will actually happen, and what things won’t in the coming year for data science, machine learning, and AI.

We’ve been watching and reporting on these trends all year and we scoured the web and some of our professional contacts to find out what others are thinking.

IDC: 80 billion Connected Devices in 2025 for generating 180 trillion GB of Data and IoT Opportunities

February 15th, 2018

IDC found that there will be 80 billion connected devices in 2025, helping generate 180 trillion gigabytes of new data that year.

The amount of data from the Internet of Things (IoT) that is analyzed and used to change business processes will be as big in 2025 as the amount of all the data created in 2020.

We’ve learned in recent years that huge quantities of data are essential to the practical and productive application of new approaches to machine learning such as deep learning.