Chatbots are relatively straightforward to deploy these days. AI providers like IBM and others provide all the technology you need. But do you really need them? And if you already have a bunch of them deployed, are you doing it right? If these questions have you wondering, I recommend you read this: Does Your Company Really Need a Chatbot?
You still may want to proceed with chatbots: they make a lot of business sense for certain types of work. But you will have a better idea when not to use them, too.
What are some of the flaws with facial recognition software? Too many for me just to list. Instead, read this article to get a sense of how bad this software can be.
San Francisco is in the vanguard of trying to rein in this technology. Let’s hope more jurisdictions do the same.
I am glad to see more articles highlighting the difference between ML and AI. For example, this one: How machine learning is different from artificial intelligence – IBM Developer.
There is still lots to be done in the field of machine learning, but I think technologists and scientists need to break out of that tight circle and explore AI in general.
(Image: from the article)
Nope. And this piece, Machine Learning Vs. Artificial Intelligence: How Are They Different?, does a nice job of reviewing them at a non-technical level. At the end, you should see the differences.
(The image, via g2crowd.com, also shows this nicely).
Possibly, but as this article argues, there are at least three areas where robots and suck at:
Creative endeavours: These include creative writing, entrepreneurship, and scientific discovery. These can be highly paid and rewarding jobs. There is no better time to be an entrepreneur with an insight than today, because you can use technology to leverage your invention.
Social interactions: Robots do not have the kinds of emotional intelligence that humans have. Motivated people who are sensitive to the needs of others make great managers, leaders, salespeople, negotiators, caretakers, nurses, and teachers. Consider, for example, the idea of a robot giving a half-time pep talk to a high school football team. That would not be inspiring. Recent research makes clear that social skills are increasingly in demand.
Physical dexterity and mobility: If you have ever seen a robot try to pick up a pencil you see how clumsy and slow they are, compared to a human child. Humans have millennia of experience hiking mountains, swimming lakes, and dancing—practice that gives them extraordinary agility and physical dexterity.
Read the entire article; there’s much more in it than that. But if your job has some element of those three qualities, chances are robots won’t be replacing you soon.
Here’s an assortment of 42 links covering everything from Kubernetes to GCP and other cloud platforms to IoT to Machine Learning and AI to all sorts of other things. Enjoy! (Image from the last link)
- Prometheus Kubernetes | Up and Running with CoreOS , Prometheus and Kubernetes: Deploying – Kubernetes monitoring with Prometheus in 15 minutes – some good links on using Prometheus here
- Deploying a containerized web application | Container Engine Documentation | Google Cloud Platform – a good intro to using GCP
- How to classify workloads for cloud migration and decide on a deployment model – Cloud computing news – great insights for any IT Architects
- IP Address Locator – Where is this IP Address? – a handy tool, especially if you are browsing firewall logs
- Find a Google Glass and kick it from the network – Detect and disconnect WiFi cameras in that AirBnB you’re staying in– Good examples of how to catch spying devices
- The sad graph of software death – a great study on technical deby
- OpenTechSchool – Websites with Python Flask – get started building simple web sites using Python
- Build Your Own “Smart Mirror” with a Two-Way Mirror and an Android Device – this was something I wanted to do at some point
- Agile for Everybody: Why, How, Prototype, Iterate – On Human-Centric Systems – Medium – Helpful for those new or confused by Agile
- iOS App Development with Swift | Coursera – For Swift newbies
- Why A Cloud Guru Runs Serverless on AWS | ProgrammableWeb – If you are interested in serverless, this is helpful
- Moving tech forward with Gomix, Express, and Google Spreadsheets | MattStauffer.com – using spreadsheets as a database. Good for some
- A Docker Tutorial for Beginners – More Docker 101.
- What is DevOps? Think, Code, Deploy, Run, Manage, Learn – IBM Cloud Blog – DevOps 101
- Learning Machine Learning | Tutorials and resources for machine learning and data analysis enthusiasts – Lots of good ML links
- Machine learning online course: I just coded my first AI algorithm, and oh boy, it felt good — Quartz – More ML
- New Wireless Tech Will Free Us From the Tyranny of Carriers | WIRED – This is typical Wired hype, but interesting
- How a DIY Network Plans to Subvert Time Warner Cable’s NYC Internet Monopoly – Motherboard – related to the link above
- Building MirrorMirror – more on IT mirrors
- Minecraft and Bluemix, Part 1: Running Minecraft servers within Docker – fun!
- The 5 Most Infamous Software Bugs in History – OpenMind – also fun!
- The code that took America to the moon was just published to GitHub, and it’s like a 1960s time capsule — Quartz – more fun stuff. Don’t submit pull requests 🙂
- The 10 Algorithms Machine Learning Engineers Need to Know – More helpful ML articles
- User Authentication with the MEAN Stack — SitePoint – if you need authentication, read this…
- Easy Node Authentication: Setup and Local ― Scotch – .. or this
- 3 Small Tweaks to make Apache fly | Jeff Geerling – Apache users, take note
- A Small Collection of NodeMCU Lua Scripts – Limpkin’s blog – Good for ESP users
- Facebook OCP project caused Apple networking team to quit – Business Insider – Interesting, though I doubt Cisco is worried
- Hacked Cameras, DVRs Powered Today’s Massive Internet Outage — Krebs on Security – more on how IoT is bad
- Learn to Code and Help Nonprofits | freeCodeCamp – I want to do this
- A Simple and Cheap Dark-Detecting LED Circuit | Evil Mad Scientist Laboratories – a fun hack
- Hackers compromised free CCleaner software, Avast’s Piriform says | Article [AMP] | Reuters – this is sad, since CCleaner is a great tool
- Is AI Riding a One-Trick Pony? – MIT Technology Review – I believe it is and if AI proponents are not smart they will run into another AI winter.
- I built a serverless Telegram bot over the weekend. Here’s what I learned. – Bot developers might like this.
- Google’s compelling smartphone pitch – Pixel 2 first impressions | IT World Canada News – The Pixel 2 looks good. If you are interested, check this out
- Neural networks and deep learning – more ML
- These 60 dumb passwords can hijack over 500,000 IoT devices into the Mirai botnet – more bad IoT
- If AWS is serious about Kubernetes, here’s what it must do | InfoWorld – good read
- 5 Ways to Troll Your Neural Network | Math with Bad Drawings – interesting
- IBM, Docker grow partnership to drive container adoption across public cloud – TechRepublic – makes sense
Posted in IT
Tagged AI, cloud, computers, GCP, IOT, IT, Kubernetes, machinelearning, MEAN, ML, nodeJS
WIRED has a good review of the latest product from Sonos, here: Sonos One Review: Amazon’s Alexa Is Here, But It Still Has Some Growing Up to Do
What makes this development significant to me is that it signals that Sonos is concerned with Apple and others coming and taking away market share. Sonos has a great line of products already, but Apple is threatening to take a piece of that with their new home speaker with Siri/AI capability. Sonos has beefed up their AI capability to meet the challenge.
I expect that the next big thing in IT will be the vocal interface tied in with a speaker system in some form. I expect we will see them everywhere. Perhaps not for extended communication, but for brief and frequent requests.
If you are an IT person, I recommend you learn more about chatbot technology and how it will integrate with the work you are doing. More and more users will want to be able to communicate with your systems using voice. You need to provide a vocal interface for them to get information and send information.
Most homes will have one device acting as an aural hub. Sonos wants to make sure it is one they make, and not Apple.
Posted in IT
Tagged AI, apple, chatbots, IT, Sonos