by David I | May 9, 2018 | Conference, Developer Relations, DevRelate, Education, Machine Learning |
When springtime arrives, developers and developer relation professionals know that it is major developer conference time in the US and around the world. Of course it all started with the annual Evans Data Developer Relations Conference, this year in Palo Alto California at the end of March. Most of you know that there are developer events and conferences throughout the year on every continent. At the same time, some of the most important and influential conference,s that impact developer programs and developers, are all scheduled during the months of May and June.
The Grand Slam of Springtime Developer Conferences
Facebook started things off on May 1 & 2 with their F8 conference in San Jose California. This week we have Microsoft Build 2018 in Seattle (from May 7 to 9) and Google IO 2018 in Mountain View (May 8 & 9) in the same week. It was fun to hear Microsoft’s Joe Belfiore, Corporate Vice President of Operating Systems, tell developers during his day 2 keynote that he would end at 10am so that some developers could switch over to the Google IO opening keynote. Apple will complete the grand slam with WWDC 2018 in San Jose from June 4th to 9th.
But Wait, there’s even more for Developers this Spring
Ciscolive! happens in Orlando Florida June 10-14. You might think that Cisco is a networking and hardware company, but they also have a great developer program with DevNet. I attended last year’s event in Las Vegas and the DevNet Zone has a huge exhibit and workshop space and loads of developer sessions during the conference.
DocuSign’s Momentum developer conference takes place in San Francisco on June 20-21, just before the end of Spring. “If you thought replacing paper with eSignature was a win, get ready to go further. It’s time for the modern System of Agreement. Get the insights, inspiration, and networking to take advantage of all that’s possible, next, and new with DocuSign.”
So Much New Tech to Learn. So Little Time. Tons of Developer Fun!
So much development tech to digest in such a short period of time. Let’s summarize them all with: more AI, more cloud, more services, more devices, more IoT, compute at the edge, more serverless, more APIs, more tools and more fun for developers of all types, sizes and locations. I’ll try to cover more in coming DevRelate blog posts.
If you are having a developer conference that starts before the first day of Summer (in the Northern Hemisphere), send me an email with the details.
David Intersimone “David I”
Vice President of Developer Communities
Evans Data Corporation
davidi@evansdata.com
Blog: https://devnet.evansdata.org/
Skype: davidi99
Twitter: @davidi99
by David I | Feb 9, 2018 | Developer News, Evans Data, Research |
Are the developers in your community using AI and Machine Learning (ML) in their projects? Does your company provide AI and ML technologies and products for developers to use? According to recent developer research by Evans Data Corporation, software developers are adopting and using artificial intelligence and machine learning by the millions, according to Evans Data’s newly released Global Development and Demographics Study. Twenty-nine percent of developers worldwide, or 6,452,000 in all, are currently using some form of AI or ML and an additional 5.8 million expect to within the next six months. Others expect to incorporate AI or ML techniques later in the future, with only 18%, or slightly less than 4 million, having no plans to ever use these technologies. The Asia-Pacific region is the strongest with almost 3 million developers currently using these technologies.
At the AWS re:Invent conference last November, Amazon and Intel announced DeepLens – “The world’s first deep learning enabled video camera for developers.” According to Amazon, “AWS DeepLens helps put deep learning in the hands of developers, literally, with a fully programmable video camera, tutorials, code, and pre-trained models designed to expand deep learning skills.” Developers can pre-order the camera and SDK now for delivery in Spring of this year.
Six and Half Million Developers Now Using AI or ML in Their Projects
The Global Developer Population and Demographic Study, now in its 25th edition, is the definitive developer population estimate, updated every six months. The result of extensive secondary research, the study finds 22 million developers worldwide with projections to reach 26.1 million within five years. Global survey data laid atop the population estimates show technology adoption figures worldwide as well as by region.
“There’s been a huge uptake for AI and ML technologies by developers.” said Janel Garvin, CEO of Evans Data Corp, “Not only have the tools and frameworks multiplied and matured and made adoption much easier, but the developers themselves show a great deal of excitement about using them and enhancing their applications with these new capabilities.”
Population trends and estimates cover many different types of development in the most recent study. Additional points discovered in this edition include: 9.9 million developers involved with optimizing security solutions in their organizations, with 1.8 million developers focused on this in North America, and 16.5 million developers working in organizations having a formal DevOps strategy. In DevOps both the APAC and EMEA regions top North America for number of developers.
The new Global Development Population and Demographics Study provides developer population estimates by region and for major countries within regions as well as worldwide estimates and growth projections. Demographic estimates include age, gender, years experience, education and more. Technology adoption estimates include Host and Target Platform Adoption and Migration, Development Methodologies, Tool use, Tech adoption, High Performance Computing, and other topics.
See the complete “Global Developer Population and Demographic Study” Table of Contents and Methodology here: Table of Contents
About Evans Data Corporation
Evans Data Corporation provides regularly updated IT industry market intelligence based on in-depth surveys of the global developer population. Evans’ syndicated research includes surveys focused on developers in a wide variety of subjects.
by David I | Dec 6, 2017 | Big Data, Deep Learning, DevRelate, Internet of Things, Machine Learning, Newsletter |
With the amount of data being collected by businesses and the rise in compute power on desktops, servers, private/public/hybrid cloud systems, mobile devices, and edge connectors, every developer is looking to leverage new AI, machine learning, deep learning and big data technologies. At just about every developer conference and webinar there are presentations and demonstrations of how to use modern techniques to gain business insights and perform analysis and actions close to the customer interaction, edge connection and all along the computing infrastructure. New developer technologies are helping accelerate the digital transformations globally in every industry segment.
Last week I hosted a track on the use of “IoT in Enterprise” at the IoT Tech Expo North America conference in Silicon Valley. Along with the IoT tracks there were two co-located events covering Blockchain and AI. While I roamed the exhibit hall during breaks in my track sessions, you could see and feel the energy surrounding the coming together of IoT devices, data collection, analytics, and AI technologies for business benefits. Developers and decision makers were having wonderful conversations in the aisles and hallways. In my conversations with speakers and attendees it was clear that we are witnessing an acceleration in the developer and business use of machine learning.
Developers Leaving Rules Based Engines for Machine Learning in AI Projects
Yesterday’s Evans Data press release, “Developers Leaving Rules Based Engines for Machine Learning in AI Projects“, (SANTA CRUZ, CA. Dec 5, 2017), reports that just over 50% of developers engaged in artificial intelligence projects now solely implement machine learning technology in those projects, according Evans Data’s recently released Artificial Intelligence, Machine Learning and Big Data Survey. Those using rules based engines alone accounted for 27% of the AI developers while just a little more than 22% are using a hybrid system that combines both machine learning techniques with rules-based technologies.
The rules-based system is one of the simplest types of AI. Also known as an expert system, a rule-based system encodes expert knowledge, usually in a fairly narrow area, into an automated system that can perform tasks or deliver answers in a manner similar to a human. Machine learning, on the other hand, enables the system to create rules on the fly through training which results in a model that is used to classify data. While the rules-based systems have been used longer, machine learning has been increasingly embraced by AI developers.
“There’s plenty of excellent applications for rules-based engines and they have been used for years,” said Janel Garvin, CEO of Evans Data Corp, “but today we’re seeing developers eagerly adopting machine learning algorithms into their projects and training them so they can evolve and function on their own. Major vendors and organizations in the industry are helping to spur this development by providing frameworks and tools to facilitate machine learning development.”
Related data showed that concept clustering, artificial neural networks, and reinforcement learning were techniques that were most likely to be used in AI projects. Speech recognition is also becoming a popular way of interacting with AI systems with 45% of AI developers incorporating this technology into their projects.
The new Artificial Intelligence, Machine Learning and Big Data Survey is conducted twice a year with developers actively working in those disciplines and has a margin of error of 4.8%. The full 150 page report includes sections on Demographics, Industry Landscape, AI Concepts and Methods, Barriers and Challenges for AI, Enterprise AI, I and Cloud, IoT and Machine Learning, Parallel Processing, Hardware and Infrastructure Needs, Conversational Systems, Security Needs, and more.
See the complete Table of Contents and Methodology here: Table of Contents
DevRelate Blog Posts Related to AI, Machine Learning and Big Data
Here are a few additional DevRelate blog posts that cover AI, Machine Learning, Deep Learning, tools, frameworks and more. In looking at many developer programs, I see new additions to embrace AI and Big Data technologies in a range of communities and businesses.
David Intersimone “David I”
Vice President of Developer Communities
Evans Data Corporation
davidi@evansdata.com
Blog: https://www.devrelate.com/blog/
Skype: davidi99
Twitter: @davidi99
by David I | Sep 5, 2017 | Developer News, DevRelate |
Evans Data put out a press release on August 23, 2017 that reported results of a recent cloud development survey. The report showed that almost half of all developers working in and/or deploying to a Cloud are deploying and delivering environmental configurations as instances of immutable architecture (46%) in development testing and production, with only slightly less (42%) doing the same with microservices according to Evans Data Corp’s newly released Cloud Development Survey.
In addition to those currently delivering environmental configurations as immutable architectures an additional 37% are experimenting with this technology but haven’t put it into production yet. As for microservices, an additional 34% are evaluating and 15% expect to experiment with microservices in the next year.
“There’s an obvious affinity between microservices and immutable architecture,” said Janel Garvin, CEO of Evans Data. “Containers in general as well as microservices can embrace immutability which enhances reliability and reduces the dependence on heavy weight installers and configuration management software. The developers are telling us the time for this evolution has come.”
The survey also showed that the most common types of applications that are containerized are Business to Business applications, followed by backend development, and while the vast majority of those who use containers use some kind of orchestration tools, the orchestrator that most use is the one that ships with the container software they use.
VMware, Pivotal, Google jointly announce PKS (Pivotal Container Service)
I attended VMWare’s recent VMWorld 2017 conference in Las Vegas. During the Tuesday morning keynote, Pat Gelsinger (VMware CEO), Michael Dell (Dell Technologies Chairman and CEO), Rob Mee (Pivotal CEO) and Sam Ramji (Google Cloud VP) were on stage to announce that the companies are working together to simplify the creation, deployment, orchestration and management of containers at enterprise scale.
Their work will allow enterprise developers to integrate “production ready” VMware vSphere, Google Container Engine, Bosh, Kubo and Kubernetes. During the keynote it was also announced that VMware and Pivotal were joining the Cloud Native Computing Foundation at the platinum level. Pricing and Availability information from the VMware press release: “PKS is expected to become available in calendar Q4 2017. Pricing details to be released upon general availability.”
Evans Data Cloud Development Survey 2017, Volume 1
The survey of developers currently developing in or deploying to the Cloud was fielded in June 2017 and provides a margin of error of 4.4%. The full 187 page report includes sections on Cloud Developer Demographics, Migrating to a Cloud, Containers, DevOps and the Cloud, Artificial Intelligence and Machine Learning, Mobile IoT and the Cloud, Security and Governance, and much more!
See the complete Table of Contents and Methodology here: Table of Contents
David Intersimone “David I”
Vice President of Developer Communities
Evans Data Corporation
davidi@evansdata.com
Blog: https://www.devrelate.com/blog/
Skype: davidi99
Twitter: @davidi99
LinkedIn: https://www.linkedin.com/in/davidi99/
by David I | Jan 6, 2017 | Big Data, Deep Learning, Developer Relations, DevRelate, Machine Learning, Transportation, Voice Control |
As predicted, there has been a flurry of announcements by automotive companies related to autonomous vehicles, voice control and the use of AI at this year’s CES 2017. I’ve previously blogged about “Developer Relations Programs for Self Driving and Connected Cars“, “Developer Relations: Doing Great Things with Telematics” and “Voice Control APIs“. At this week’s CES 2017 show in Las Vegas, there have been several announcements and articles about the coming together of connected cars, voice control and AI. It’s so cool to see collaborations between car, platform, cloud and machine learning companies to bring next generation features to automobiles. Here are just a few of the many Connected Cars, Voice Control and AI articles coming out of CES 2017 Las Vegas.
Connected Cars, Voice Control and AI News
CES 2017 Automotive Related Keynotes
Exciting Automotive Times for Sure!
David Intersimone “David I”
Vice President of Developer Communities
Evans Data Corporation
davidi@evansdata.com
Blog: https://www.devrelate.com/blog/
Skype: davidi99
Twitter: @davidi99
