Paul Daugherty is Accenture’s chief technology officer and leads the company’s Technology Innovation & Ecosystem group. He is also a member of Accenture’s Global Management Committee. In addition to overseeing Accenture’s technology strategy, Mr. Daugherty has responsibility for driving innovation through R&D activities in Accenture’s Technology Labs; maximising value from the fast-changing and dynamic technology ecosystem; and leveraging emerging technologies to bring the newest innovations to clients globally. He also
leads the company’s highly skilled, certified technology architects, who apply new technologies and architectural foundations in building solutions for clients across industries. In addition, Mr. Daugherty is responsible for managing Accenture’s alliances, partnerships and senior-level relationships with leading and emerging technology companies, and runs Accenture’s CIO Council of more than 200 global CIOs.
AIBusiness was interested to know why Accenture believes that now a pivotal time for AI in the technology landscape, and how they see it impacting everyday businesses?
“We believe that AI I is poised to transform business more than any of the previous ways of information technology” Daugherty says. “The combinatorial effect of AI, cloud, sophisticated analytics and other technologies is already starting to change how work is done by humans and computers, and how organizations interact with consumers in startling ways”.
Artificial intelligence is exploding, and this new reality changes everything for business and economy -Paul Daugherty.
“IDC has predicted that the worldwide content analytics, discovery and cognitive systems software market will grow from US$4.5 billion in 2014 to US$9.2 billion in 2019” Daugherty explains. He mentions Accenture’s Technology Vision 2016, a research that gathers information obtained from more than 3 100 global business and IT executives, revealed that 70% of corporate executives are making significantly more investments in artificial intelligence related technologies than two years ago, with 55% stating that they plan on using machine learning and embedded artificial intelligence.
“Clearly, the market demand and opportunity for AI are rapidly growing”, Daugherty says.
It might come as a surprise to some that Accenture, as a professional services firm, is heavily immersed in the AI-world, so AIBusiness was eager to know more about this connection, and whether it will continue in the future?
“AI is embedded in Accenture’s DNA. We have been helping advance the field of AI for many years through extensive research, development and delivery of AI solutions”, Daugherty reveals. He explains that Accenture’s involvement in AI goes as far back as to 1989 when Accenture established the AI Lab, Institute of Learning Sciences, that we established at Northwestern University, to the 6-year development and pilot of AI-based Software Engineering that we completed in 1996 in collaboration with Stanford’s Kestrel Institute, for US Air Force; to delivering Biometrics at US-VISIT in 2004; or our video analytics innovation to bolster the Singapore government’s safe city program, Accenture has a long track record/ history of innovation in AI.
“We use AI to both enhance and grow our company and also to serve our clients. In fact, our AI capabilities, that span a continuum of technologies, when implemented holistically, improve productivity, reduce costs, and enhance innovation”, Daugherty says.
Accenture is also focusing on research and development, including releasing a new report outlining the positive impacts of AI on people and the economy. The research examined why and how AI is the future of growth, looking at 12 developed economies that, together generates more than 50% if the world’s economic output. We were curious to know what their key takeaways from this research project were?
Paul Daugherty explains that the three high-level findings revealed were:
Accenture is not only focusing on what AI can do for other businesses but also looking at what this technology have done for their own company as well. AIBusiness asked what Accenture is doing to capitalise on the potential benefits AI offers within its own business?
Essentially, Accenture is infusing AI in their own business to improve the outcomes they provide, Daugherty explains. He looks at the example of Accenture myWizard which is one of Accenture’s signature investments built on state-of-the-art analytics and AI.
“The platform has already been deployed in over 275 engagements, with more than 7,000 active users enabling us to deliver better, more effective services to clients. With myWizard, some of these organizations have become up to 60% more productive”, Daugherty explains.
“myWizard currently consists of 6 virtual agents with machine learning capabilities. They perform tasks such as the Virtual Data Scientist that mines petabytes of data and detects risks and issues, such as potential cyber-attacks and opportunities to improve service. Another example is the Virtual Project Manager that helps the project team deliver on-time and on-budget and alerts human project leads of potential problems that would otherwise be difficult to detect, so they can take immediate corrective actions”, Daugherty tells AIBusiness.
Expanding beyond their myWizard, Accenture is also working with the Massachusetts Institute of Technology (MIT) as a part of their 10-year-collaboration, working on an end-to-end AI-predictive modeling system to augment human project managers of large-scale software projects.
“The system uses automated and natural language features to help predict the success, or delay time, of large software projects in real time. In initial tests, client satisfaction status a short time in the future reached a prediction rate of more than 90%”, Daugherty says.
Daugherty reveals how Accenture have used automation and AI in 72 percent of their clients and transformed 17,000 roles in the last 18 months with their Business Process Outsourcing business. “All 17,000 people have been retained and freed up to innovate and achieve greater impact by moving up the value chain”, Daugherty says. “Also in our BPO business, we have invested in developing more than 7,250 robotic process automation solutions that are being embedded in more than 80% of our largest client engagements across every industry”.
In addition to this, Accenture has delivered a project to use IPsoft’s Amelia, a virtual agent that handles invoice inquiries for procure to pay processing. Amelia works in the way that vendors interact with “her” to check the status of invoices or payments, upload invoice statements and make changes to their vendor information. “Amelia can run multiple sessions in parallel well beyond human capacity, no need for breaks and the quality of the responses consistent for every interaction. When fully operational, Amelia can handle about 70% of the inquiries received” Daugherty explains, outlining the benefits of using the virtual agent.
A challenge that companies might face when implementing AI, is to ensure that the clients percieve and understand the AI landscape, as well as they do. So does Accenture’s clients view AI as an opportunity or a challenge? And in what ways are Accenture helping their clients understand this new landscape, helping them to capitalise on AI for their business?
“There’s a lot of hype and doomsday headlines surrounding AI that are frankly intended to sell movie tickets and newspapers” – Paul Daugherty.
Part of what we see as our role at Accenture is to separate the facts from the fiction, debunk the myths and dispel the misunderstanding around AI so we can help clients better understand AI and how to apply it to generate new growth and business value. We have a unique formula to achieve AI success: Future Business Value = [Human x Process x Data]AI.
“Accenture believes that the full power of AI can only be unleashed through a People First approach. AI should put people at the center, augmenting the workforce by applying the capabilities of the machines so people can focus on higher-value analysis, decision-making, innovation and creativity” – Paul Daugherty.
Paul Daugherty shows AIBusiness a few examples to paint a picture of how they’ve put this into action with clients across a wide cross-section of industries and geographies.
“We used robotic process automation with a European telecommunications company to transform processes in billing, marketing, sales, order intakes and service assurance. In just one year, productivity had skyrocketed, freeing up the equivalent of 72,000 hours of manual work and enabling the client to redirect its focus to driving product development and customer satisfaction”.
Daugherty explains how Accenture is transforming customer service for a major Italian government agency, relieving their employees from doing routine customer queries that were very time-consuming, to automating the process with artificial intelligence in the form of an AI solution powered by IBM’s ‘Watson’.
“We are implementing an intelligent Virtual Agent application, able to understand the context of the words in customer requests. The Virtual Agent will also autonomously handle real-time voice calls or web-chat interactions, using a combination of cognitive-semantic analysis and machine-learning algorithms. At the same time, employees will be able to take on more demanding and rewarding tasks, which is expected to positively impact their engagement. After just three months, the Virtual Agent application is already successfully serving more than 70,000 users. We expect a service level improvement by 30 percent after just the first six months”.
So what does the future of Accenture look like? Given the success you have experienced with implementing AI, what AI trends do you see for 2017 and beyond?
Daugherty predicts three specific trends for the next five years: