Big data is an emerging technology that is currently receiving a lot of attention. My earlier post gives a primer on some of the terms and issues.
Investors are interested in the potential for appreciation in this market. There are several recent forecasts.
- Global spending on big data by organizations will … [reach] $114 billion in 2018.
- The forecast includes the money spent on internal salaries, professional services, technology services, internal hardware, and internal software.
Wkibon expects growth from about $33 billion this year to $45 billion in 2018, and to $85 billion in 2026. The define Big Data industry as: Continue reading
The largest tech companies are running to provide two new related services to big business, and the rush is on. These are cloud computing services, and big data analytic services.
The internet, mobile computing, the internet of things – all these provide new sources of data that did not exist ten years ago, and the quantity of data is enormous. Questions arise: how do you access that data, how do you organize it, and how do you turn it to your advantage?
These represent huge changes in the landscape of enterprise computation, and billions of dollars are at stake. Wikibon estimates total Big data spending in 2018 to reach almost $50 billion, while A. T. Kearney and ABI both predict $114 billion. Granted their definitions most likely are not the same, but in any case these are huge numbers.
Main Players include:
What is it all about?
There has been a lot of talk about these services, but many people are still hazy on what it all means. Therefore, I am providing a kind of primer for those not completely sure of what this movement is about.
I – Cloud services
The basic concept of cloud services is well known. Continue reading
Today there is a new computing frontier – business analytics.
Some people may be interested in the relationship between our brains and the new Artificial Intelligence that is impacting the business and research worlds.
In an earlier time we used computers to help us perform computations, then to organize data, later to visualize data so that people could better see correlations and make decisions.
Now we are moving into the next generation. Here, analytic programs such as Watson by IBM (IBM), Microsoft (MSFT) Azure Machine Learning, and AWS Elastic MapReduce service by Amazon (AMZN), are sifting through enormous amounts of big data to answer business and scientific questions.
According to Wikipedia:
Analytics is the discovery and communication of meaningful patterns in data.
In the end, all these are sifting through the data trying to abstract out significant relationships between people and/or events.
As I noted in another post, Abstraction is what the brain does.
Some people may be interested in the relationship between our brains and the new Artificial Intelligence that is impacting the business and research worlds. In this post I will describe, very briefly, how brain cells work together to create knowledge.
Neurons – the basic elements of the brain