In launching its offerings for the connected car, Qualcomm engaged venTAJA to draft content coinciding with a roll-out at Mobile World Congress (MWC). The article and blog posts focused on individual technologies like C-V2X (cellular vehicle-to-vehicle communication) and on the macro-effects of connected, autonomous cars.
As Qualcomm diversifies its wireless technology beyond smartphones, the Internet of Things (IoT) plays a growing role. venTAJA has conducted interviews and worked on blog posts aimed at developers, employees and the company’s public audience to highlight new products and technologies in IoT.
To build blog content around the themes of the industrial Internet of Things (IIoT) and public health in smart cities, Qualcomm hired John White of venTAJA to describe wireless applications based on its technologies. The company’s systems-on-chip (SoCs) and intellectual property play a role in helping to minimize risks and promote safety.
Qualcomm consistently places in Training Magazine’s Top 125 companies for employer-sponsored workforce training and development. Its Learning Center chose venTAJA to abstract information from dozens of departments, employee portals, course catalogs and internal reports, and to draft a competition entry (internal use only) to solidify its ranking.
When Qualcomm recreated the brochure for QChat, its push-to-talk mobile communication technology, it engaged venTAJA to pull together disparate materials and copy and harmonize them into a smooth-flowing sales enablement piece. From the same brochure copy, Qualcomm created a mini-site for QChat.
The robot dress, conceived and produced in Qualcomm’s Thinkabit Lab and powered by the Snapdragon mobile processor, came to the attention of the company’s Corporate Marketing team. venTAJA worked on the corporate OnQ Blog post used to publicize the runway premiere of the dress.
At the outset of its LifeCOMM initiative, Qualcomm engaged venTAJA for a technical article on the business model and market opportunity in wireless healthcare and telemedicine. Interviewee Paul Hedtke describes the need for a value chain of providers wireless connecting the patient to different levels of health care professionals.
Most developers find out quickly that machine learning algorithms and frameworks perform slowly on the CPU, so they turn to the digital signal processor (DSP) for better performance. The Qualcomm Developer Network hired venTAJA to work on a series of blog posts describing how the Hexagon SDK eases the transition to programming machine learning applications on the DSP.