Intelligent orchestration

#artificialintelligence

We all know that company performance depends on several factors, and that many of those factors are variable and even non deterministic. If life is prone to inconsistency, so is business. Much of this is because of the unpredictability of human behavior, which is why it is interesting to grasp it with new kind of statistical models provided by what we call today data science. In data science, building such a model is like assembling gears to create a mechanism that works on data. The only systematic and consistent approach is the scientific method – in other words, an inductive and iterative process.


Re-usable RPA

#artificialintelligence

In the world of the intelligent enterprise, robotic process automation (RPA) is sometimes regarded as a base-level activity. It doesn't have the same cachet as artificial intelligence or as Big Data analysis. But it's often the processes at this level that can make the biggest difference. Think, for instance, of all the high-level functions your smartphone can perform – and then of the things for which you use it the most. Robotic process automation can deliver significant advantages to any enterprise – and what makes it even more attractive is reusability.


Impact of RPA on the Existing Workforce and Workplace

#artificialintelligence

With current technologies like artificial intelligence, machine learning and data analytics being democratized in everyday applications, the IT industry has almost successfully transitioned into the Digital Era. When talking about digitization, one idea most industry leaders agree upon is that automation is the need of the hour. Along with other new age technologies, Robotic Process Automation (RPA) too has made a mark in the IT industry and according to Gartner 85 percent of big organizations will have deployed some form of RPA by the year 2022. While RPA is meant to bring about efficiency and reduce errors made in mundane and tedious work done manually by humans, it does give rise to the question of will there be a loss of jobs in the IT industry due to democratization of RPA. Automation, a popular emerging technology has an assured place in the future of global businesses.


Impact of RPA on the Existing Workforce and Workplace

#artificialintelligence

With current technologies like artificial intelligence, machine learning and data analytics being democratized in everyday applications, the IT industry has almost successfully transitioned into the Digital Era. When talking about digitization, one idea most industry leaders agree upon is that automation is the need of the hour. Along with other new age technologies, Robotic Process Automation (RPA) too has made a mark in the IT industry and according to Gartner 85 percent of big organizations will have deployed some form of RPA by the year 2022. While RPA is meant to bring about efficiency and reduce errors made in mundane and tedious work done manually by humans, it does give rise to the question of will there be a loss of jobs in the IT industry due to democratization of RPA. Automation, a popular emerging technology has an assured place in the future of global businesses.


How to automate the enterprise: Your guide to getting started

ZDNet

The deluge of stories about artificial intelligence and robots has sparked a renewed interest in the capacity of machines to work better, smarter and longer than humans. Fuelled by the well-publicised examples of smart systems winning gameshows and trouncing a world-champion in the notoriously complex game of Go, many businesses are considering the potential of automation. But away from the speculation about the capabilities of near-future AI and robots, what are the practical considerations for any firm thinking of going down the automation route? The first rather obvious question for a business to ask is whether it is technically feasible to automate a particular activity, or will be in the near future, according to the consultancy McKinsey. This question shouldn't be drawn too broadly, and should focus on individual aspects of a person's role rather than their job in its entirety.