Understanding the problem
“the five-whys”
Different questions dramatically effect the tools and techniques used to solve the problem.
By Kenneth Jensen CC BY-SA 3.0, via Wikimedia Commons
Read moreSoftware Engineering, Maths, Automation, Data
A.k.a: Machine Learning, AI, Big Data, etc.
It’s current rise in popularity is due to more data and more computing power.
For more information: https://winderresearch.com/what-is-data-science/
US Supermarket Giants
Target: Optimising Marketing using customer spending data.
Walmart: Predicting demand ahead of a natural disaster.
Most projects are “Discovery Projects”.
Primary Business goals: Increase Revenue, save costs, save time.
Budgets can come from other parts of the business.
Read more
If you ask anyone what they think AI is, they’re probably going to talk about sci-fi. We sometimes even need to set the record straight during our AI consulting projects. Science fiction has been greatly influenced by the field of artificial intelligence, or A.I.
Probably the two most famous books about A.I. are I, Robot, released in 1950 by Isaac Asimov and 2001: A Space Odyssy, released in 1968 by Arthur C. Clarke.
I, Robot introduced the three laws of robotics. 1) A robot must not injure a human being, 2) a robot must obay the orders, except where the orders would conflict with the First Law and 3) a robot must protect its own existance as long as such protection does not conflict with the First or Second Laws.
2001: A Space Odyssey is a story about a psychopathic A.I. called HAL 9000 that intentionally tries to kill the humans on board a space station to save it’s own skin, in a sense.
But the history of AI stems back much further…
Read more
The Hitchhiker’s Guide says the meaning of life is 42. Considering that the field of Data Science is going through a period of exponential growth it too could soon find that the meaning of an artificial life is also 42. But if you are not involved on a day-to-day basis, the expansion can seem bewildering. The story of how disparate disciplines have combined to produce Data Science is fascinating.
Read moreData Science is an emerging field that is plagued by lurid, often inconsequential reports of success. The press has been all too happy to predict the future demise of the human race.
But sifting through chaff, we do see some genuinely interesting reports of work that affects both bottom-line profit and top-line revenue.
Read moreThe proliferation of Data Science is largely due to: ubiquitous data, increasing computational power and industry acceptance that solutions are an asset.
Data Science applications are no longer a simple dataset on a single laptop. In a recent project, we help develop a novel cloud-native machine learning service. It is unique in that problems are packaged as containers and submitted to the cloud for processing. This enables users to distribute and scale their models easily.
Read more