Overview of the Centre for Innovation A living, breathing innovation hub as an accelerator to help Accenture and its clients unlock value by design. Our design-led, multidiscipline Centre for Innovation will research, incubate and pilot new and emerging digital technologies. Opportunities will focus on building the future in real time, partnering with clients across multiple industries and bringing together distinct skillsets to create true acceleration at scale. Operating across all stages of the innovation spectrum, the working environment will be open and interactive. An experimentation culture combined with a disruptive brief will ensure that together we make major societal impacts.

Graduate recruitment at auditors and accountants could fall by as much as 50% by 2020 due to the impact of artificial intelligence, according to a top executive of "Big Four" accountant EY. Steve Varley, chairman and managing partner for the UK and Ireland at EY, told the Financial Times: "Over time our graduate needs are coming down." The "Big Four" -- EY, PwC, KPMG and Deloitte -- are between them one of the biggest graduate employers in the UK. Globally, the auditing and accounting industry is also one of the biggest graduate recruiters. If recruitment reduces, thousands of grads will have to find somewhere else to start their careers.

WIRE)--Accenture (NYSE:ACN) is expanding its machine learning and operations analytics capabilities by acquiring OPS Rules, a boutique analytics consulting company that specializes in the application of data science to create supply chain and operations analytics solutions. When the acquisition is completed, Accenture will add new operations analytics professionals to its team that apply machine learning and optimization techniques to develop fresh and innovative analytics approaches for clients across many industries. Terms of the transaction were not disclosed. Founded in 2012, OPS Rules has offices in Waltham, Massachusetts and Richardson, Texas. OPS Rules is led by David Simchi-Levi, a Professor of Engineering Systems at the Massachusetts Institute of Technology (MIT) and renowned supply chain and operations analytics expert.

Machine learning and expert systems will not destroy jobs wholesale, predicts George Zarkadakis, digital lead at advisory firm Willis Towers Watson, but will remove the need for many tasks that employees have traditionally cut their teeth on at the beginning of their careers. Zarkadakis cited a study by consultants McKinsey, which found that just under one third of activities that make up 60 percent of existing jobs will be automated. Unfortunately for new entrants to job markets, the bulk of these activities will be concentrated in starter roles, said Zarkadakis. "We've done some research ourselves and looked at the impact on entry-level jobs. Jobs that graduates get once they leave university. We found that many of the entry-level jobs are very susceptible to complete obliteration," he told The AI Summit in London.

Machine learning and expert systems will not destroy jobs wholesale, predicts George Zarkadakis, digital lead at advisory firm Willis Towers Watson, but will remove the need for many tasks that employees have traditionally cut their teeth on at the beginning of their careers. Zarkadakis cited a study by consultants McKinsey, which found that just under one third of activities that make up 60 percent of existing jobs will be automated. Unfortunately for new entrants to job markets, the bulk of these activities will be concentrated in starter roles, said Zarkadakis. "We've done some research ourselves and looked at the impact on entry-level jobs. Jobs that graduates get once they leave university. We found that many of the entry-level jobs are very susceptible to complete obliteration," he told The AI Summit in London.

Technologies that most, if not every, technologist is well aware of. Maybe a little more nuanced for some to track? The beauty of being a budding technologist is that the landscape is constantly changing and forever in flux. What was once a herculean task of reading magazines and books with the hopes of finding the necessary information to connect the dots has been trivialized to a simple "online search" or a quick question to your phone. With the general accessibility of the internet, the ability to track and understand the technology landscape has simplified.

The market for Service Delivery Automation (SDA) is a fast moving one, both in terms of adoption as well as advances in technology. Many organizations have already tried and adopted SDA technologies, such as Robotic Process Automation (RPA) and cognitive automations, based on machine learning software. These organizations are looking beyond Proofs of Concept (PoC) and trials to wider adoption of SDA across their organizations. An SDA Center of Excellence (CoE) enables organizations to develop their SDA capabilities and competencies in a controlled and centralized manner. It helps organization to stay abreast of developments in the fast-moving world of SDA.

I recently spoke at the Deloitte Shared Services and Outsourcing Executive Forum at Deloitte University. The audience's interest level in automation strategies was high. For the most part, Deloitte doesn't outsource directly, but only provides consulting services to its clients about outsourcing and shared services strategies, so the event and this essay seem appropriate venues to discuss the impact of "cognitive automation" technologies on the outsourcing industry. I use quotation marks around the term "cognitive automation" because though I am told that that is the preferred term these days at Deloitte, I am still getting used to it. I like the term because it suggests a broad approach that goes beyond current automation-oriented technologies and methods.

KPMG's recent announcement was particularly noteworthy from my perspective, because it indicated that the audit firm would be deploying IBM's Watson "cognitive computing technology" to KPMG's professional services offerings.--According "One current initiative is focused on employing supervised cognitive capabilities to analyze much larger volumes of structured and unstructured data related to a company's financial information, as auditors'teach' the technology how to fine-tune assessments over time. This enables audit teams to have faster access to increasingly precise measurements that help them analyze anomalies and assess whether additional steps are necessary." IBM is, of course, one of KPMG's biggest software-auditing clients. All of these recent reports mention that the AI technologies currently are being contemplated for use in connection with financial audits.

News flash: Artificial intelligence (AI) and other cognitive technologies are eliminating jobs left and right. The short answer is no…don't lose sleep over it. First off, cognitive technologies (even super cool advanced ones) are best with structured tasks and finding patterns. You know, auditing grunt work. I assume most sane people would prefer to not be subjected to the mundane, mind-numbing work anyway and say, "Go ahead, automate the cross-footing and put me out of my misery!"