Accenture has acquired Spanish analytics services firm Pragsis Bidoop. Headquartered in Madrid with additional offices in Barcelona and the UK, Pragsis will add more than 200 employees with deep machine learning, artificial intelligence and big data engineering experience to Accenture's Applied Intelligence business. Accenture Applied Intelligence serves the European and Latin American markets by helping enterprise clients scale their deployments of AI, analytics and automation to make improved data-driven decisions. Founded in 2004, Pragsis Bidoop has a diversified client base of Ibex-35 companies in Spain and multinational corporations with a presence in Mexico, Brazil and other Latin America markets. The company specialises in service provisioning for corporations in a range of industries, from banking and insurance to retail, energy, railways, the public sector and pharma.

In this show, the first of our PegaWorld 18 series, I'm joined by Kirk Borne, Principal Data Scientist at management consulting firm Booz Allen Hamilton. In our conversation, Kirk shares his views on automation as it applies to enterprises and their customers. We discuss his experiences evangelizing data science within the context of a large organization, and the role of AI in helping organizations achieve automation. Along the way Kirk, shares a great analogy for intelligent automation, comparing it to an autonomous vehicle . We covered a ton of ground in this chat, which I think you'll get a kick out of.

In May 2019 Deloitte surveyed 523 executives in a range of industries in 26 countries across Africa, the Americas, Asia and Europe on their intelligent automation strategies and the impact on their workforces. The analysis reveals that these organisations are not only continuing to use robotic process automation (RPA) but are moving beyond it by increasing deployment of intelligent automation. Fifty-eight per cent of surveyed executives report they have started their automation journey. Of these, 38 per cent are piloting (1-10 automations), 12 per cent implementing (11-50 automations) and eight per cent automating at scale (51 automations) – twice as many as in 2018. Organisations believe they can transform their business processes, achieving higher speed and accuracy by automating decisions on the basis of structured and unstructured inputs. They expect an average payback period of 15 months – and in the scaling phase just nine months.

In the past ten years, the world of recruitment and Human Resource has changed a lot. Shaped by several different and mostly technological factors, the HR department has drastically transformed from sorting resume papers manually to imbibing technology in the recruitment process. Currently, all the Talent pioneers are recognizing the urgency to start embracing emerging technologies, such as Artificial Intelligence, analytics, cognitive, AR and VR to reinvent how people work in the organization and how new talents are being hired. HR professionals also believe, to bridge the gap, organizations must focus on their employee strategies to yield productivity, experience, collaboration, streamlining processes, simplify work, and setting up new goals. With technologies like AI, organizations can invent, reinvent, and transform the processes.

In this episode, we talk about robotic process automation and artificial intelligence in the context of PwC's Intelligent Automation Framework. Ryan Martin and Jennifer Lendler join Bob Clark to discuss some of the exciting uses companies are finding for these technologies and break down the risks and challenges that accompany these emerging technologies in the real world. We discuss the following questions: 0:57 - What are the differences between robotics, artificial intelligence and machine learning that CFOs and clients are hearing?

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Artificial intelligence is one of the buzziest terms in corporate America, but organizations don't need to pursue a tech upgrade as a solution for every problem, Athina Kanioura said. Instead, Accenture's chief analytics officer says that companies -- and the executives that run them -- should meditate on the internal and external pressures that are forcing them to consider their investment. Together, these pushes and pulls form a firm's "AI narrative," said Kanioura, whose 3,000-data-scientist-strong Applied Intelligence arm at Accenture has consulted for organizations from the Golden State Warriors to Carnival Cruises. A financial institution facing trouble growing its user base, for example, may opt to automate initial customer interactions to cut costs. For Kanioura, the first step in considering investing in AI is determining the appropriate return you are seeking and whether it will complement other tech priorities, like cloud computing or data analytics.

A holistic view of automation capabilities can help organize and galvanize a team to avoid the common robotics and cognitive automation pitfalls and ultimately achieve scale. Start by articulating the robotics and cognitive automation mission based on key value drivers and establish a clear and compelling business case. Create a broad vision and roadmap. Establish robust, right-sized governance, select an appropriate operating model, and collaborate across boundaries. You also want to gain access to the necessary specialized skills and talent.

PwC has identified five areas where AI will transform project management for ever-reducing cost, improving efficiency and providing decision making support. This includes Active Assistance where AI will interact with project managers to update, follow-up and control projects status. Human capital is another area where learning will be based on past experiences and behaviours. Additionally AI and RPAs will perform actions on behalf of project managers. Another aspect that AI will transform project management is in the area of Risk Management.

According to the ONS (Office for National Statistics) around 1.5 million jobs in England alone could be at risk from automation. Deloitte finds that over the next two decades, up to 35% of all jobs could be at high risk of being replaced by automated systems. If the rise of automation has the potential to impact millions of jobs, will workers want to adapt and learn new skills if their jobs are at risk? A two-year Commission on Workers and Technology is currently assessing the impact automation and artificial intelligence (AI) could have on the UK's workforce. Yvette Cooper MP, who is chair of the Commission, wrote in The Guardian: "Trades unions and communities can't just stand by and hope for the best. If we want technological change to benefit everyone rather than widening inequality, then we need to start preparing now."