Today, machine learning is found in almost every product and service by
Apple. They use deep learning to extend battery life between charges on their
devices and detect fraud on the Apple store, recognize the locations and
faces in your photos, and help Apple choose news stories for you.
The concept of AI (Artificial Intelligence) has been the subject of many
discussions lately. According to some predictions, AI will have the ability
to learn by itself, outclassing the capabilities of the human brain, and even
manage to fight for equal rights by the year 2100. Even though these are
(still) just speculations and predictions, companies like Apple are
developing and implementing machine learning technology, which is still in
its infancy. How is Apple using machine learning?
Apple's beginnings with deep learning technologies
Let's start with Apple's beginnings with using ... (more)
Effective collaboration and communication are highly valued by the DevOps
culture, and it's been like that for a reason. It is an industry where even
departments within the same company tend to distrust one another, and where
distributed offices full of crucial roles are the norm. Thus, any possible
positive improvement in the interaction between people is welcomed,
especially for an organization where several moving parts need to collaborate
in order to create a product on time and within a budget limitation. You need
to master communications if you want to master DevOps. Gettin... (more)
Migrating from Desktop to Cloud-Based Project Management Software
Seeing how a chorus of business leaders and tech innovators has sung praises
to the cloud for quite some time, you're probably aware of the fact that the
cloud adaptation is simply flourishing. According to research from cloud
solutions provider RightScale, roughly 93% of business today are using cloud
technology in some form or another. If you're not that familiar with the
technology, you might be wondering - why is cloud just so popular?
Furthermore, you're probably also thinking - are cloud services right for
y... (more)
Cloud computing changed data analytics for good. It enabled companies to
drastically decrease resources and architecture previously assigned with
business intelligence departments. It also enabled laymen to run advanced
business analytics. Cloud was also the architecture of choice for storing and
processing big data.
Data piling is a continuous process, which is going to explode with emerging
Internet of Things concept. Answer to this issue developers found in new
concept called fog computing. As opposed to clouds, fog computing
architecture is capable of conducting all required... (more)
When one first starts scratching the surface of what cloud computing is and
what its business applications can be, it soon becomes very obvious that
there are innumerable layers to it. Even those who are passionate about the
subject learn new things and discover new avenues on a daily basis. If they
have the time, on an hourly basis.
In fact, if we were coldly logical, this mere abundance of cloud computing
possibilities and developments would be enough to make it the future of
business. However, there is much more to it.
It Makes Business More Democratic
While there are shades t... (more)
Nate M. Vickery is a business consultant from Sydney, Australia. He has a degree in marketing and almost a decade of experience in company management through latest technology trends. Nate is also the editor-in-chief at bizzmarkblog.com.
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