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Tips For Blogging About The Latest Technology Trends
You need to write a blog if you hope to raise your online visibility.
Building credibility and your personal reputation go hand-in-hand with maintaining a good blog.
The rewards can be great.
Running A Blog can help a small business, or you can get paid just by running a blog if you like giving your opinion.
Read the following article to learn some more about blogging.
Try to always be available to your readers.
Make a habit out of responding to posts or starting new blogs at specific times.
Your readers expect that you will give them content they can use.
When you feel like giving up your blog, try to remember that you will disappoint more than just yourself.
Incorporate SEO into your blog.
Because your primary goal is increasing your readership, it is important that your blog shows up in the search results when potential readers look for a topic about which you write.
Choose your keywords wisely, and make sure to place them in the titles, as well as in the content of your blog, to increase how many readers you are getting.
Don’t let blog posting take over your life.
If you don’t take time to step away from your computer once in a while, you are likely to burn out.
Take scheduled walks, call family and friends or just curl up away from the computer and read for a while.
Taking a break like this allows you to return to your blog with a fresh perspective so you can write some outstanding content.
Keep blog posts short, sweet and relevant.
Long wordy blogs will turn off readers.
No one expects verbose, Shakespearian depth discourse when it comes to blog writing.
They want the key content, not the extra fixings.
Look for Fresh Cointent
Post new content frequently on your blog to keep your readers interested and they will have the incentive to come back to your website regularly.
The best blogs have regular content posted to them at least once every day.
If this is intimidating to you, try to come up with a few weeks’ worths of writing prior to taking your blog live.
Doing so will provide you with enough content to post when you are experiencing difficulties.
Display a greater sense of professionalism
While you should reply to every comment on your blog, never let any of it hurt your feelings.
No matter the topic, there will be people who have criticisms.
Those that are constructive can be used to improve your blog.
For negative comments that are more destructive, leave a polite and brief response and don’t look back.
This will display a greater sense of professionalism and will impress your readers.
Wrapping Up
You should now understand how writing a blog can help you either make money directly through a pay-for-post scheme or indirectly by improving your business, as well as make you e-famous.
You may want to refer back to this article as you implement the ideas you have learned.
AI at the Edge: A GigaOm Research Byte
Artificial intelligence (AI), primarily in the form of machine learning (ML), is making increasing inroads into our lives.
There are several primary reasons for this:
- The rapidly-increasing capability of computers used to build and train ML models.
- Greater data-capturing ability across the compute environment, often in the form of inexpensive sensors embedded in everyday consumer, business, and industrial products.
- The development of new algorithms and approaches that improve the accuracy of ML applications.
- The creation of software toolkits that make building and training ML applications substantially easier, and therefore less expensive.
In addition to these four ‘truths’, there are two other factors that are often overlooked that are equally as important in bringing AI into our lives.
These factors are not about where AI’s are built and trained, but where they are deployed and used:
- A reduction in cost, and increase in performance, of chips doing AI inference “at the edge.”
- The development of middleware allowing a broader range of applications to run seamlessly on a wider variety of chips.
It is these final two developments that will allow AI to enhance our lives in countless new ways and enable AI in our pockets, cars, houses, and a host of other places.
This report explores these latter two factors, ignoring how AI is built and trained while focusing on the methods by which AI impacts our lives.
It explores the natural architectural migration of AI from central, powerful computers where an AI algorithm or application may have historically been built, trained, and used, to an edge model.
In the edge model, the AI compute happens either on a user device or somewhere in the network stack beneath the traditional cloud, perhaps on an edge server.
This leads to a new AI model that is a match-fit for what is to come: building and training, which will mainly continue on ever-more-powerful (and power-hungry) cloud-based computers, and inference.
The inference will be performed at the device edge, or close to it.
It is where the AI will run on ever-more-powerful (but less power-hungry) chips.
This foundational change in the AI architecture will be the single biggest driver in the advance of AI at scale.
This new architecture has several advantages over a highly centralized or cloud model, specifically:
- More scalable
- Faster
- Lower cost
- More secure
- Lower power
There are tradeoffs in this approach, including the fundamental constraints of the chipset and future upgradability.
Further, there are still several outstanding questions about this shift that only time will answer:
- How far to the edge will AI compute finally be pushed to?
- Which chip design price/performance combinations will prove to be the most popular?
- How disposable will the chips of the future be?
It should be noted that there are use cases where this model of centralized training and edge inference will not be appropriate; cases where decision latency and power consumption are not factors.
One can imagine, for instance, that a large and expensive medical device might ship data back to a central location to be processed and analyzed on a time scale (perhaps measured in seconds or minutes) that would be unacceptable in another application, such as a self-driving car.
We discuss these exceptions as well.
The final part of this report briefly explores the societal impact of this change in architecture.
Winston Churchill once said, “We shape our tools and then the tools shape us.”
We are the generation that is shaping the digital tools of tomorrow, and it is worth reflecting on how they might shape us in return.
Source: gigaom.com