Samsung has released the world’s first 5G phone.
This is a big deal for advancing the next generation of mobile applications and an important industry first.
I’m a big fan of positioning and promoting industry firsts. This is because a true industry first – typically, a first that can be easily validated by a top tier industry analyst firm – is often a valuable proof point for establishing market leadership and for generating short- and long-term buzz among target markets.
Kudos to Samsung for getting out of the 5G smartphone gate first.
It will be interesting to see how the Samsung phone evolves, and just as interesting to see how it compares to 5G phones that are expected to be released by other smartphone manufacturers over the next few years.
Several of my clients believe 5G will be the catalyst for advancing digital transformation initiatives and will spark the development of a wide range of new and innovative edge and fog computing applications in the automation, IoT, robotics, self-driving vehicles and smart city industries.
Speaking of clients, I had the had opportunity to work on some of Samsung’s leadership positioning in the energy efficiency and Green IT spaces. It’s great to see the company taking an early lead in the 5G smartphone market.
Take a look at what TechRadar’s Mark Knapp has to say about some of the features included in Samsung’s first 5G phone here. – Russ DeVeau
Speaking of machine learning tools for content creators…
Curation is an excellent example of a machine learning tool content creators and marketing teams can implement today to help realize a wide range of community building, positioning, search and visibility goals.
I’ve been using curation technologies for well over a decade. My first successes with curation came during the years when I served as the content and public relations lead for the launch of Kantara Initiative.
Back then we incorporated Yahoo Pipes technologies into Kantara’s community page to continuously showcase digital identity news and trends on the Kantara website.
I show an image of what the curated Kantara site looked like in the post, Yahoo Pipes and web aggregation as a strategic communications strategy and talk more about curation strategies in the posts, Russ DeVeau on curation attribution and Curation in the era of fake news.
Fast forward to today and curation platforms continue to evolve and improve significantly – and these improvements are due largely to automation and machine learning.
I launched the Sustainable ICT Daily several years ago when I was managing content development and marketing for Climate Savers Computing Initiative (CSCI). The pages – made up of content I personally curated – were an important tactic for placing messages and showcasing CSCI executives and initiatives on a regular basis.
I launched the Edge and Fog Computing Daily last year when I was managing community and content development for the OpenFog Consortium. It took a while for this platform to deliver the results I wanted to see mainly because edge and fog were relatively new subjects at the time. There wasn’t enough content on web and social feeds to regularly produce and distribute a high-quality curated page on edge and fog computing.
Machine learning processes continuously improve based on a steady stream of quality data. As the edge and fog computing conversation moved more into the mainstream – driven in part by the content I developed for OpenFog and Fog World Congress 2017 – the Edge and Fog Computing Daily became a valuable and widely distributed resource for aggregated news and content on edge and fog computing.
The experts at Adobe have stated that machine learning tools for content creators will save time. The Edge and Fog Daily is automated based on my preferences for key words and hashtags. Machine learning allows the curation process to regularly improve results. Beyond a review of the headlines included in the daily report, I don’t spend any time on the curation or distribution process.
Curation has proven to be a valuable component of many of my most successful communications campaigns and programs. Machine learning helps ensure the results are exceptional. – Russ DeVeau
–A fog computing content development and marketing case study and portfolio
–Artificial intelligence and machine learning for content creators…not yet, but it’s coming
I came cross this name badge buried in an old laptop bag.
The photo makes for a good #FlashbackFriday post given this CFO conference took place in San Diego just about seven years ago.
This is when I was supporting Client Savers Computing Initiative (CSCI), a global technology consortium focused largely on advancing the wide scale adoption of PC power management.
CSCI board members were experts in sustainability and Green IT issues and included senior executives and spokespersons from Cisco, Google, Intel, Microsoft, Samsung and World Wildlife Fund.
I managed many editorial, news and proactive positioning programs for CSCI including industry analyst, media and social media relations. I had the opportunity to attend the CFO event with George Goodman, who at the time, was CSCI’s executive director.
I really liked the roundtable concept CFO had implemented for this event. Sponsors – such as CSCI – paid for a table, or multiple tables, and established a topic that would be discussed at each table purchased. Conference attendees signed up to sit at tables where they were interested in discussing the established topic.
The tables George and I manned were among the most popular at the conference. This is likely because we had a great Green IT and money savings story to tell. At the time, CSCI had calculated that households, businesses and organizations could save up to 60 dollars a year in energy costs simply by turning PC power management on.
That number was for one computer. The savings could add up quickly if a household, business or organization had multiple – or even hundreds or thousands – of PCs using power management. That cost saving message was very well received by CFO attendees. – Russ DeVeau