Cloud, Big Data, and the Internet of Things

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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 practices. It's helped change our digital landscape and is shaping businesses into the Modern Software Factories the application era requires. Automation's benefits can be applied to just about any department within an enterprise; from HR to Accounts, Dev to Ops - even the mailroom. However, certain... (more)

The Importance of Big Data Automation | @CloudExpo #Cloud #BigData #Analytics

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... (more)

What Is Intelligent Automation | @CloudExpo #AI #Cloud #DevOps #Automation

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)

Robotic Process Automation and Workload Automation | @CloudExpo #AI #ML #DX

The Relationship Between Robotic Process Automation and Workload Automation By Tony Beeston Robotic process automation (RPA), a concept that has emerged over recent years, is still in a state of rapid evolution, existing without a clearly defined end-state or direction. As such, vendors are experimenting and pushing their products into uncharted waters - successfully or otherwise. Nonetheless, we can be sure that artificial intelligence and machine learning will continue to develop and impact on automation solutions as whole, even if at the moment these capabilities do not frequen... (more)

The Future of Automation | @DevOpsSummit #DevOps #DigitalTransformation

Automating Progress: The Future of Automation By Chris Boorman We've all read the dystopian fiction, watched those apocalyptic movies and heard a myriad of prophetic warnings heralding our obsolescence. Surely now we're just a couple of years from flipping the switch on a Skynet of our own making and condemning mankind to the annals of history. Actually, we're not entirely sure what the future holds, but it's probably not fire and brimstone. For detractors and naysayers of technology, could there be a more fitting image than Terminator 2's opening shot? A hulking, skeletal, humano... (more)