Takeaways from Mobile World Congress 2017

22 Mar 2017 | , , , ,
Share on:

 

By Michelle Miskelly

 

Industry watchers at Mobile World Congress 2017, an influential mobile ecosystem event, saw a major shift in focus this year from mobile to connected devices, edge computing, applications and enabling technology providers.

A common denominator across the conference was the need to analyze and manage data to support innovative applications and make use of available connectivity and connected devices. A challenge and opportunity is: ‘How can Big Data be used to unlock a competitive edge and create a profound customer experience?’

Industry experts speaking at the conference highlighted the following key themes for industrial and consumer connected devices:

  1. Artificial Intelligence and Machine Learning– Artifical Intelligence personalization was the main topic this year. By leveraging Big Data from sensors, past customer experience, social media, companies are able to deliver a more relevant and enhanced customer experience, and improve the quality of their processes and services. Personalization will theoretically allow for maximum efficiency during the customer journey
  2. Virtual Reality – From TeleSofta’s virtual business meetings with avatar representatives to Samsung’s 360-degree virtual travel app, 2017 will be the year of mobile VR affordability. In 2016 consumer interest grew, in 2017 demand arrived.
  3. Drones – As the cost of drones continues to drop, drones are being applied to surveying crops and delivering packages in urban areas.  We expect companies to increasingly use drones to provide enhanced telemetry and analytics for situational awareness, efficiency, and quality.
  4. 5G Mobile Networks – The speed of the new proposed telecommunications 5G standard will be particularly important for new use cases, like Internet of Things, by delivering over 100 times improved bandwidth at low latency compared to 4G.

While no single technology made headlines at Mobile World Congress 2017, we saw an evolution of approach among the vendors leading to innovation across a wide spectrum. Underpinning that innovation was a greater appreciation for the technologies needed to analyze streaming, real-time and historical data from industrial and consumer internet connected applications, a sweet spot for Kx Systems.

 

Michelle Miskelly works in business development at Kx Systems and First Derivatives plc. She is based in Newry, Northern Ireland.

 

 

SUGGESTED ARTICLES

Kx extends relationship with NASA Frontier Development Lab and the SETI Institute

Detection of Exoplanets at NASA FDL with kdb+

13 Dec 2018 | , , , ,

Kx data scientist Espe Aguilera explains a NASA FDL mission to improve the accuracy of finding new exoplanets using machine learning models. The data for the project will come from the Transiting Exoplanet Survey Satellite (TESS), which was launched in April 2018, with the objective of discovering new exoplanets in orbit around the brightest stars in the solar neighborhood.

Signal processing in kdb+

Signal processing with kdb+

6 Sep 2018 | , ,

In the latest in our ongoing series of kdb+ technical white papers published on the Kx Developer’s site, Kx engineer Callum Biggs examines how kdb+/q can be used instead of popular software-based signal processing solutions. Signal processing is used for analyzing observable events, such as IoT sensor data, sounds, images and other types of pulses […]