The Importance of Big Data Automation
By Yann Guernion
For better or worse, big data has irrevocably altered the digital landscape.
The explosion in variety, velocity, volume and value of information presents
an abundance of previously unimaginable opportunity. But it also creates a
number of challenges that need to be successfully navigated.
This reshaped technical world poses the following question to organizations:
do you risk presenting, stale, incorrect or erroneous data to your customers?
Because, with 2.5 quintillion bytes of data now being created every day,
finding a way to manage and harness such potential is a new experience for
everyone. And if you don't take advantage, your competitors will.
Vast Amounts of Unstructured Data
By now we are mostly well versed in the necessity for and the advantages of
big data; it can be used to improve decision making, get ... (more)
What to Automate and What Not to Automate
By Ron Gidron
The benefits of automation are well documented; it increases productivity,
cuts cost and minimizes errors. It eliminates repetitive manual tasks,
freeing us up to be more innovative. By that logic, surely, we should
automate everything possible, right? So, is attempting to automate everything
a sensible - even feasible - goal? In a word: no.
Consider this your short guide as to what to automate and what not to
automate.
What to Automate
As we know, automation is the driving force behind continuous delivery and
agile practic... (more)
Defining DevOps Maturity
By Ralf Paschen
For over ten years, DevOps has been taking the world by storm. It has made
organizations step back, evaluate their processes and implement
enterprise-wide cultural and infrastructural change. Vendors have followed
suite, introducing an abundance of continuous delivery tools to facilitate
this step-change. L.P Hartley famously quipped, ‘The past is a foreign
country: they do things differently there' - words which resound more than
ever as we more further into the digital age.
Agility and digital transformation is now the name of the game. ... (more)
The Relationship Between Robotic Process Automation and Workload Automation
... (more)
What Is Intelligent Automation and What Does It Mean for Workload Automation?
By Yann Guernion
While Artificial Intelligence (AI) may not be a new concept, its contribution
to automation may just change the face of business. AI's conception dates as
far back as 1950, when Alan Turing proposed the Turing test in order to
evaluate a machine's ability to exhibit intelligent behavior. Fast-forward a
couple of decades and research led to the creation of well-known theoretical
tools such as Fuzzy Logic, Bayesian Networks, Markov Models and Neural
Networks. Concurrently, new types of pro... (more)