Do the numbers add up when it comes to implementing robotics and cognitive automation (R&CA) – technologies that replicate human actions and judgment? They appear to, judging from the growing number of mail order houses, telecom providers, retail banks and others that already have software robots working alongside contact center agents. For those companies, bots are performing many routine tasks, such as validations and cross-referencing, that humans would have to do otherwise.
In our first post on this topic, we addressed the question: Can robots replace HR? While the answer is “not entirely,” there is no doubt this technology represents both a significant disruptor and opportunity for HR. To back it up, our team has spent the last couple months working with early adopter clients and deploying internal Deloitte pilots to better understand the potential of robotics and cognitive solutions within the HR function. Our experience to date indicates there are three primary capabilities where digital options should be considered to supplement and augment the human talent in HR.
Posted by Rajeev Ronanki July 13, 2017
Artificial intelligence (AI) has long been the technology of the future – and the future is fast approaching. As AI matures to become an imminent force of change, in its shadows, machine intelligence (MI) is already enabling organizations to quickly reap the benefits of emulated human intelligence through targeted applications. MI and AI aren’t so different – where AI broadly tries to emulate general human reasoning, MI specializes in the applying human logic and reasoning to specific tasks and processes. Deloitte’s eighth Tech Trends report reveals that machine intelligence (MI) is a trend to watch in 2017. MI will likely become omnipresent as three primary forces converge – the same factors paving the way for ubiquitous AI:
A case for “Society in the loop artificial intelligence”
Posted by Jim Guszcza on May 19, 2017
As automation and robotics fueled by artificial intelligence (AI) become more mainstream, many areas of industry are set to undergo revolutionary changes. New sorts of jobs will likely emerge, some existing jobs will likely undergo transformation, and others may go away. There is good reason for concern about societal disruption, and a pressing need for enlightened societal-level dialogue. But we should not lose sight of the bright side to the creation of machines capable of helping with laborious “spade work.” AI has the potential to create significant value by making us more efficient, extending our intelligence and decision-making capabilities, saving organizations money, and generally helping societies run more smoothly.
Posted by Nitin Mittal on March 16, 2017
Artificial intelligence (AI) may be in the headlines today, but machine intelligence is the future of advanced analytics. Machine intelligence is the collective term for cognitive computing capabilities that create value by augmenting employee performance, automating complex workloads, and developing human-like “cognitive agents.” Machine intelligence should be on your radar, because your competitors are probably all over it.
Automation and artificial intelligence are hot topics these days, to the extent President Obama has recently started to position the future of smarter technologies as a critical topic for his successor to address.1 This transformation has broad impacts, but the changes expected in the HR function and the overall workplace are of significant interest.
Posted by Rajeev Ronanki, on November 30, 2016
You’ve heard pundits predict that artificial intelligence (AI) will rule the world someday, right? Well, until that time comes, it appears that AI systems—in the form of cognitive assistants—will be more than happy to help us. Cognitive assistants that interact with and perform tasks for people are among the fastest-growing AI applications today.
Posted by Jim Guszcza on October 31, 2016
The relationship between human and artificial intelligence (AI) is becoming one of the major issues of the day. A recent World Economic Forum report predicted that more than five million jobs will be lost to AI-fueled automation and robotics over the next four years1. It’s interesting to consider the relative abilities of human and machine intelligence in a specific arena: making predictions and forecasts. When is AI better at predicting outcomes, and when are humans? What happens when you combine forces? And what role–if any–will human judgment play as algorithms continue to evolve? It turns out that algorithmic forecasting has limits that machine learning-based AI methods cannot surpass; human judgment will not be automated away anytime soon.