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 John Houston on May 12, 2017
In the financial services arena, data scientists are taking a seat next to traditional business analysts, tasked with finding value in an ever-expanding quantity of data. By delivering smarter insights using analytics and cognitive technologies, data scientists help address problems in investing and trading strategies, portfolio management, regulatory reporting, client service, and more.
Posted by Ryan Renner on March 31, 2017
Everyone’s talking robotic process automation and cognitive automation (R&CA) these days. Not surprisingly, there’s a lot of hype around those discussions—and many misconceptions. Let me take this opportunity to dispel some of the rumors.
Posted by Ben Stiller on March 9, 2017
Analytics, including cognitive technologies, is taking hold in every functional area of business, and in industries ranging from aerospace to tech, media, and telecom. But there’s one area where analytics is just starting to gain momentum. What if analytics could offer insights to executives so that their days could be more engaging, productive, and outcome-oriented? The next significant breakthroughs will be in time management, team collaboration, and performance tracking—and it’s not that far away.
Posted by Rajeev Ronanki on February 24, 2017
The notion of a 360-degree view of the customer has been around for at least 25 years. Yet the nature of that “view” and the tools available to construct it have changed dramatically, especially in the past 10 years as e-commerce, mobility, and analytics have spread.
A new route for better outcomes
Posted by Rachel Frey on February 9, 2017
Anyone can create insight. What really counts is the actions government organizations take with it. The best analytics initiatives start with outcomes in mind—outcomes like supporting better engagement, working smarter, increasing efficiency, reducing costs, and bettering lives—and then the mission-critical plan for realizing them. As 2017 kicks off, four exciting trends are emerging in the health and human services arena that can make use of data to produce cost-containing outcomes more than ever:
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 Ben Stiller on November 04, 2016
Many consumer products (CP) companies are looking to cognitive technologies—from natural language processing to robotics to machine learning—as a way to engage and capture today’s value-conscious, tech-savvy consumers. However, those who simply embed cognitive technologies in their products, hoping that the “cool” factor will win consumers over, are likely to be disappointed. Many consumers are indifferent—even skeptical—when a traditionally low-tech company touts high-tech advantages.