Analytics and artificial intelligence are breathing new life into automation technology.
These new 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.
Intelligent automation is clearly a game-changer when it comes to improving complex problem solving, risk analysis and business decision-making and it enables employees to achieve significant productivity gains—as much as 30-40 percent—even in functions that are already automated.
Think beyond costs.
Intelligent automation is about the primacy of people, cultural change and new skills.
Get the basics right.
Making artificial intelligence work in business context requires domain knowledge and sometimes an overhaul or redesign of old processes, or the invention of new ones.
Embrace open innovation.
Your artificial intelligence solution must be technology rich. It should be a constellation of technologies that when integrated together can create a highly adaptable, nimble business capability.
Become built for change. Today, organizations 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 to make data-based decision-making so pervasive that people and machines alike are equipped to harvest and act on 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 is allowing businesses to disrupt their industries by reinventing what they do across all parts of the enterprise, such as virtual agents for customer interaction.
Where in the software development life-cycle are you getting the most traction with intelligent automation?— Accenture Technology (@AccentureTech)
How far along is your business in adapting intelligent automation?— Accenture Technology (@AccentureTech)
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