What Machine Learning Will Do For You
This was originally published here.
Machine Learning is a hot topic today. We hear a lot about it. Perhaps not as much as we do about Robots and Artificial Intelligence. But, there is often a lot of Machine Learning driving the behavior of robots. Machine Learning will be critical in the way robots advance to become more self-learning and self-training. However, this is only part of the story. We’ll explore this a bit more below.
What will Machine Learning do for you … a primer
Let’s get back to the roots of this segment. Let’s talk about Machine Learning.
What it is and what it means for you, your job, and your future.
Machine Learning is a lot of things. A simplified description is:
“Machine Learning focuses on the development of computer programs that can access data and use it learn for themselves.”
Listen to the show here on Breakthrough Radio with Michele Price. My segment starts at about the 40 minute mark. But listen to the whole thing for the full impact and effect.
Machine Learning is not new. People have been trying to help machines get smarter … on their own … for decades.
Machine Learning is Hard
Edge conditions change, computing changes, expectations change, but one constant has been that people are working hard to help computing device teach themselves. Of course, there are risks with semi-sentient computing devices.
In this segment of Breakthrough Radio, I will explore more about what Machine Learning means for you, your job, and your future.
To find more information on this please search on the hashtags #MachineLearning and #ML too.
Bullet Points
- Machine Learning can and will help humans in ways we cannot envision yet.
- The way we work, commute, communicate and collaborate will be improved by Machine Learning.
- Machine Learning will continue to shape the way you work and will continue to be a hot area for job growth, innovation, and globalization.
- There will be ethical decisions to be considered as Machine Learning is deployed.
- Machine Learning will empower Intelligent Devices to make decisions – many of which are trivial, but some of which are life-saving.
Every First Monday
Jeff Shuey wraps up Breakthrough Radio with forward-thinking perspectives on the intersection of technology and people.
As with every Breakthrough Byte segment I break it down into Pros, Cons and ROI. You may disagree with these points and if you do please drop a comment here so we can start a discussion.
Cons
- Pervasive
- Proven
- Protected’ish (hint: this is a huge area of opportunity)
Pros
- More Security is needed and is being worked out (e.g. Your vehicle may push a lot of content and it has the potential to be intercepted and/or compromised. This is true with healthcare, buildings, mobile devices, IoT devices, etc.)
- Data Effluent / Data Exhaust are being tracked more effectively.
- Standards need to be approved and adopted (e.g. Blockchain)
ROI
- Safety – From the human aspect the 3D’s can be considered – Dirty, Dull, and Dangerous Tasks (HT Michio Kaku)
- Reduced Time to Decisions / Better Decisions
- Real-Time
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I’d love to hear your comments! I’ve been involved in building partner lead business for most of my career and currently help build relationships for technology companies . Follow me on Twitter and LinkedIn.
Software Integration Author | Founder at Grigsby Consulting LLC | "Fixer"
6 年Jeff, a bullet point on the "Pro" and "ROI" side is a gross assumption, yet I think is important, the (algorithm) function|method that calls the evaluator of the "trained" data is a statistically accurate "Fact", not a feeling, yet can be used to determine "sentiment", so simple bullet is, you can develop algorithm's to determine if your feed is full of "facts" or "feelings" on a subject +/- with a degree of accuracy.