The growth of'digital labour' will affect organisations for many years to come. In the short term, some organisations may struggle with disparate and uncoordinated automation initiatives, as well as fragmented underlying IT systems and applications. There will be continuing uncertainty over where to best start, when and how to invest in automation. This report, commissioned by ACCA (the Association of Chartered Certified Accountants), CA ANZ (Chartered Accountants Australia and New Zealand) in collaboration with KPMG, explores the significant opportunities automation presents for the finance function. The report shares results of a global survey and draws insights from leading organisations around the world on the adoption of robotics in finance.

The People Matters TechHR Singapore 2019 will be a window to how today's incredible pace of technology advancement provides businesses, talent managers and technologists the perfect opportunity to engineer a fascinating workplace of tomorrow. One of the themes of the conference is harnessing technologies that could enable disproportionate leaps in work efficiency and nurturing a future ready digital workforce. One of the highlights of the event will be the keynote session spearheaded by top global tech influencer, Ray Wang. Ray Wang is the Principal Analyst, Founder, and Chairman of Silicon Valley-based Constellation Research, Inc. Wang has held executive roles in product, marketing, strategy, and consulting at companies such as Forrester Research, Oracle, PeopleSoft, Deloitte, Ernst & Young, and Johns Hopkins Hospital. Ray's expertise lies in digital, innovation, business model design, engagement strategies, customer experience, matrix commerce, and big data.

Business expenditure on AI and intelligent automation technology is expected to reach $232 billion in the next seven years, according to KPMG, an 18-fold increase on the $12.4 billion spent globally today.. The increased expenditure on such technologies, which include artificial intelligence (AI), machine learning and robotic process automation (RPA), is detailed in KPMG's latest report on automation, titled'Ready, Set, Fail?: Avoiding setbacks in the intelligent automation race'. It found that businesses will struggle to get a return on investment in AI projects unless they're signed off at the most senior level, while for automation to be effective it must be incorporated into a wider digital transformation of the business that is led by technology. "It's not clear whether most companies understand that intelligent automation is about changing business processes, and then restructuring the organisation around those new processes now driven by technologies that didn't exist before," the report read. "This means shifting the business and operating model from one of people supported by technology to one of technology supported by people. The study, which involved interviewing executives from a range of sectors in businesses around the world, was commissioned to understand why businesses deployed AI, the implications of deployment, and how this could be scaled. Researchers found that while most executives emphasised intelligent automation can digitally transform their businesses and staff roles, several challenges existed - including being unable to handle the pace of change, having to choose from hundreds of technology options, and having to define the future workforce. "If it's not done right, they may be disappointed at what they save on work that is automated," said KPMG's leader of cognitive automation initiatives, Cliff Justice. "Determining what can be scaled across multiple areas requires some strategic thought and testing of the concept in units that are small enough to succeed with repetitive tasks.

We are looking for outstanding Data Engineers to join our team. This is a great opportunity for a Data Science Consultant to join a consulting firm that offers a variety of projects and a structured learning and development path. You will work alongside a talented team of consultants who all share your passion in building great solutions and learning new skills. Skills in Data Engineering and Machine Learning: as a data science consultant you will have proficiency in one or more of Python, R, Scala, Matlab/Octave, Java, C/C, Go, Javascript, Clojure etc. You will also have either hands on experience or good knowledge of the one of the following concepts such as supervised learning, unsupervised learning, reinforcement learning, deep learning, feature engineering, natural language processing, computer vision, signal processing etc.

In the future, the class of workers affected by automation could grow as machines become more intelligent. The Brookings report analyzed each occupation's automation potential based on research by the McKinsey management consulting firm. Those jobs that remain largely unscathed will be those requiring not just advanced education, but also interpersonal skills and emotional intelligence.

If you've been following the news on exciting tech trends like artificial intelligence, then you're probably aware that emerging technologies are changing the way we work and interact with others. In fact, with things like machine learning and touch commerce becoming increasingly popular across every industry from banking to healthcare, technology is revolutionizing the way we do business and making high-tech approaches an integral part of our lives. We recently sat down with the team at Deloitte to find out how these trends are reshaping the career space. Here are the top five technology trends you need to know to work in any industry. One of the biggest tech trends to emerge in recent years is the Internet of Things.

Today, everyone's talking about Artificial Intelligence (AI) and how it's going to change the way we conduct business, and live our lives, forever. In fact, it's shaping up to be the single biggest technology revolution the world has ever seen. Private investment is booming, as companies continue to scale and industrialize their AI applications. A new cohort of AI-first businesses is flowing into the market, shifting the competitive landscape for incumbents. And as many as three-quarters of executives say that some kind of AI will be actively implemented in their organization within three years.

Business-to-consumer (B2C) businesses have made it a priority to incorporate machine learning into customer-facing functions, integrating it into sales and marketing. For business-to-business (B2B) companies, however, translating data into actionable marketing strategies can be a more difficult proposition. Selling to organizations invariably requires embarking on a much longer and more complex journey, culminating in an order of much higher value than in the consumer realm. With hundreds of thousands, if not millions, of dollars at stake, a misguided marketing investment could lead to financial losses. "The availability of data and the importance of having the focus on the full customer journey is coming a little later to the B2B world," says Laura Beaudin, a partner at Bain & Co. "A lot of expectations in terms of customers manifested themselves in the consumer world before they brought those expectations to their business-purchasing world."

Far from stealing jobs, robots and AI are most effective when they work side by side with humans. Organizations' next challenge is redesigning work accordingly. Enterprise adoption of automation, robotics, and artificial intelligence (AI) is accelerating dramatically. Almost half (47 percent) of the 11,070 respondents surveyed for Deloitte's 2018 Global Human Capital Trends report say their organizations are deeply involved in automation projects: 24 percent are using AI and robotics to perform routine tasks, 16 percent to augment human skills, and 7 percent to restructure work entirely. Expectations for the technology are also high: 42 percent of this year's respondents believe AI will be widely deployed at their organizations within three to five years--up from 38 percent last year.

With this ebook, Booz Allen's Peter Guerra and Paul Tamburello provide examples that demonstrate how integrating AI can make your cybersecurity operations more effective and efficient in risk analysis, threat monitoring, and detection. AI-automated cybersecurity processes will enable you to more swiftly and accurately identify new and emerging threats in this continually changing landscape. This ebook demonstrates a powerful tool for leveling the playing field.