machine learning – russ deveau

Machine learning tools for content creators…curation

Posted on February 22, 2019April 9, 2019 by Russ DeVeau

russ deveau machine learning for content creators russell 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

Artificial intelligence…a job killer for content creators?

Posted on January 30, 2019June 2, 2019 by Russ DeVeau

I’ve been blogging and tweeting quite a bit about how artificial intelligence and machine learning are positioned to dramatically change the way marketers and social media teams create and distribute content.

Many content development tools based on these Industry 4.0 initiatives are in the relatively early stage of development and use.

Content curation however, a tool I have leveraged for over a decade to add strategic value to a wide range of proactive programs in the cloud, data center, edge computing and security industries, is one excellent example of how machine learning is delivering value to content creators and marketing teams today.

I write about machine learning and content creation in the post, Machine learning tools for content creators…curation.

Matt Cimaglia, founder of Cimaglia Productions, offers another perspective on how content creators are leveraging artificial intelligence and machine learning today in a feature story published last month in Entrepreneur.

The Future of Video Advertising Is Artificial Intelligence offers a candid and detailed look at how artificial intelligence is transforming video production. The story outlines how videos have been produced historically and describes how the process changes when an algorithm is thrown into the production mix. From the article:

The algorithm can cut a different video ad in milliseconds. Instead of taking one day to edit one video, it could compile hundreds of videos, each slightly different and tailored to specific viewers based on their user data. Then, as the video analytics flows in, the algorithm can edit the video in real-time, too — instead of waiting a week to analyze and act on viewer behavior, the algorithm can perform instantaneous A/B tests, optimizing the company’s investment in a day.

Cimaglia goes on to boldly state that artificial intelligence will make human video editors obsolete.

That’s quite a transformation story and a great example of how artificial intelligence is dramatically changing the content development industry today.

I am generally a fan of promotional videos that are educational, somewhat fun to watch and relatively short in length.

This was true 15 years ago when I launched my first promotional video on YouTube, just as true during the time when I was managing content and video promotion for organizations such as the Climate Savers Computing Initiative, the OpenFog Consortium and the Open Data Center Alliance, and remains true today as advertising and promotional videos populate feeds on every major social media platform.

As a key message development expert, I tend to judge promotional videos based on how well messages are communicated.

Key messages always matter – no matter what the medium – but are even more critical when many of today’s marketing and promotional videos range from six to 15 seconds in length.

Some of my favorite key messages tend to be those that are conversational, easy to repeat and clearly stand out on social media feeds.

Will artificial intelligence take over the key message development process?

If the adoption of artificial intelligence continues in the marketing industry at such a rapid pace, I’m betting the answer to that question is yes. – Russ DeVeau

Artificial intelligence and machine learning for content creators…not yet, but it’s coming

Posted on August 30, 2018April 4, 2019 by Russ DeVeau

I’ve been following how artificial intelligence (AI) and machine learning may impact marketing and content development for the past year or so, mainly because I am always on the hunt for new ways to improve my own content and content development processes.

Last night I had the opportunity to learn a bit more about these technologies from some of the tech and creative experts who are developing and using artificial intelligence and machine learning tools today.

The team at Ustwo hosted a Designing with AI panel at their offices – a great space on lower Broadway – focused on AI, machine learning and computational creativity. The panel featured input from Google’s Mathew Ray, Adobe’s Patrick Hebron and New York University’s Allison Parish. Ustwo’s Dave Fisher served as panel moderator.

This group of experts discussed some of the AI and machine learning tools developers, technology and creative teams are currently using to create a range of interesting content.

While the technologies the group discussed were interesting to hear about, the demos included in the presentation appeared to be works in progress. They were cool to see, but the tools used to create those demos could not be used to satisfy my – albeit, relatively selfish – goal of leaving the session with pointers to tools I could incorporate into my content development strategies today.

Some of the tools discussed last night seemed to be in their infancy and have been developed based largely on community input and the collaborative collection of data. And data of course, matters. Machine learning requires the appropriate data to constantly improve processes and output.

Hebron did not discuss any Adobe tools during last night’s event. But it does appear that Adobe is hoping to lead in the development of AI and machine learning tools for the marketing industry. This isn’t surprising given how popular Photoshop is among content creators worldwide.

Adobe has posted a few interesting articles about AI and machine learning on their website and highlights extreme time saving as one important benefit for content creators.

While the widespread use of AI and machine learning for content creators may be a few years off, tools and apps for incorporating a degree of augmented (AR) and virtual reality (VR) into strategic content are becoming available on a somewhat regular basis.

It’s looking like Apple, Snapchat, Magic Leap and Unity are among the early leaders in key AR and VR initiatives, and that the advertising industry will drive some phenomenal growth in these markets during the next two or three years.

I’ve been tweeting about augmented and virtual reality for the past several months in order to showcase how some of these initiatives are helping to transform the advertising and marketing industries. I’ll continue to post on these evolving technologies – with a slant toward market research and to showcase new tools for content creators – on a somewhat regular basis.

In the meantime, I’m always interested in networking with other market research and content development pros who may be experimenting with, using, or researching next generation technologies from the content creator point point of view. Get in touch with me on LinkedIn or Twitter if you’d like to connect.

The picture above is from last night’s event, which was the third Designing with AI session Ustwo has sponsored this year. From left to right, Googles’s Mathew Ray, Adobe’s Patrick Hebron, New York University’s Allison Parrish and Ustwo’s Dave Fisher.

The image below is from a video I posted on Twitter of a new Pepsi Max ad. The video provides a great example of how augmented and virtual reality are changing advertising and demonstrates how powerful these technologies can be when it comes to promoting brand awareness. – Russ DeVeau

Fog World Congress – a unique opportunity to learn about edge and fog computing from global experts

Posted on April 13, 2018April 4, 2019 by Russ DeVeau

1 openfog fog world congress 1 2018

The dates and location for Fog World Congress 2018 were announced by the OpenFog Consortium yesterday. This year’s event is taking place in San Francisco on October 1 – 3.

Fog World Congress provides a unique opportunity to learn about edge and fog computing from global experts who are driving a wide range of Industry 4.0 and digital transformation initiatives.

I had the opportunity to attend Fog World Congress 2017 – the first ever Fog World Congress, held last fall in Santa Clara – as part of the conference marketing and content development team. Hundreds of people from around the world participated in this exciting inaugural event.

Fog computing is the technology helping to advance a smarter world – smarter cities, smarter factories, smarter homes, smarter devices and things – and is considered a requirement for the wide scale deployment of autonomous vehicles, drones and robotics.

Fog World Congress is the premier global event devoted to all things fog. The conference provides a unique opportunity for participants to understand the many opportunities surrounding the fast-moving and continuously growing fog computing market. – Russ DeVeau

– What’s your favorite tech event?

– Promoting future presidential candidates and President Obama’s tech guru