Intelligent Automation: The essential co-worker for the digital age
The rise of information technology and artificial intelligence is bringing a new age to the workplace: that of intelligent automation...
The rise of information technology and
artificial intelligence is bringing a new age to the workplace: that of
intelligent automation, which we believe will enable employees to achieve
significant productivity gains—as much as 30-40%—even in functions that are
already automated.
Of course, many of the key elements of
intelligent automation have been around for some time. Robotic process
automation, for instance, has long enabled enterprises to offload repetitive,
rule-based tasks to machines, delivering dramatic improvements in accuracy,
cycle time and increased productivity in transaction processing while elevating
the nature of the work performed by humans.
Now, analytics and artificial intelligence
are breathing new life into automation technology. Through new modes of human
and machine collaboration, these technologies are doing much more than just eliminating
repetitive tasks; they are supporting humans in complex and creative
problem-solving by enabling analysis of dauntingly vast amounts of data and
identification of trends previously impossible to detect. And, machines will
increasingly be able to interact naturally with their environment, people and
data by “learning” from a body of knowledge without coding all business rules
manually. By introducing intelligent systems that can truly mimic and augment
human behaviours, and do it hundreds of times faster, these technologies make
both humans and machines more powerful than they can be on their own.
Intelligent automation is clearly a game-changer when it comes to improving
complex problem solving, risk analysis and business decision-making.
Many business leaders today know they want
intelligent automation, but may not be ready to answer some of the key
questions to move forward. When is the time right to invest? What are the right
investments for my business? Can I entrust machines with critical business
processes?
Three lessons learned
While implementing intelligent automation has
the potential to be a disruptive process, organisations need not get bogged
down by its seeming complexity. To realise intelligent automation’s potential
and reap its benefits, organisations can start by understanding three lessons
Accenture has learned:
First and foremost it’s about people: Often
organisations focus too much on cost reduction or eliminating repetitive tasks
and not improving judgement-based tasks that enable people to do new things.
Think of machines and artificial intelligence as the newest recruits to your
workforce, bringing new skills to help humans do new jobs, and reinventing
what’s possible. It’s about the primacy of people—consumers, employees and ecosystem
partners accomplishing more with their digital co-workers.
Get the basics right: Artificial intelligence
needs data to be trained to be effective in a particular business
domain. This means companies need a data strategy in place and a reliable, scalable
data store. There are also security concerns whenever automated tools are
accessing the system—new security vectors; responsibility for consumer privacy;
demand for transparent use of data.
And finally, not all processes should be
automated. Some may need to be streamlined first, or eliminated altogether. New
processes may need to be developed. Within Accenture, we recently introduced a
comprehensive program to infuse automation into our client service delivery. As
a first step, we recognised the need to reduce, eliminate, and overhaul before
we started to apply intelligent automation at scale.
Embrace open innovation: To be effective,
intelligent automation can’t be applied in isolation, leveraging just one tool
or one capability; rather, it must be paired with multiple key technologies,
even some “mundane” ones, and integrated with back-office or external systems
to serve a specific business function.
Adopting intelligent automation is one way
companies can master the four pillars of digital corporate culture.
Become built for change: Today, organisations must be built for change, which may mean changing how they operate as a company. Automation plays a very big role in making software, and by extension business, built for change.
Become data-driven: Companies will need
intelligent automation embedded into the fabric of their business in order to
make data-based decision-making so pervasive that people and machines alike are
equipped to harvest and act upon it.
Be digitally risk-aware: This means facing
and factoring in newer risks that traditional businesses were never exposed to:
security, consumer privacy, data transparency and responsible use of
technology—which are growing in volume and complexity.
Embrace disruption: Intelligent automation
changes the rules by innovating with new products and services on a scale
previously infeasible. Disruption will be inevitable. But rather than be a
hindrance, this disruption should be seen as an opportunity—to rethink what you
do, and how you do it, across every area of your enterprise.
Of course, this all depends on the successful
implementation of intelligent automation—which requires an approach that is
people-first, business-oriented and technology-rich. When followed, these three
principles will enable companies to integrate intelligent systems effectively,
thereby improving operations. Companies that think beyond costs, with a
people-first mindset, will be best positioned to drive this change.
Source | Financial Express | 18 April 2016
Regards
Pralhad
Jadhav
Senior
Manager @ Library
Khaitan
& Co
Upcoming
Event | National Conference on Future
Librarianship: Innovation for Excellence (NCFL 2016) during April 22-23, 2016.
Note | If anybody use these post for forwarding in any social media coverage
or covering in the Newsletter please give due credit to those who are taking
efforts for the same.
No comments:
Post a Comment