Both the progress and the hype around cutting-edge machine learning techniques were on vivid display at the December 2018 NeurIPS Conference in Montreal, Quebec, says Will Knight, MIT Technology Review's senior editor for artificial intelligence. One big question hanging over the meeting, he says, was how to detect and reverse the sexism, racism, and other forms of bias that seep into machine-learning algorithms that train themselves using real-world data. Participants also previewed the coming generation of chips designed specifically to support deep learning--a field where US manufacturers face growing competition from China. Separately, Will looks to the most exciting AI trends for 2019, including the generative adversarial networks (GANs) being used to generate authentic-looking photos and videos. This episode is sponsored by PwC, a global consulting firm in 158 countries with more than 250,000 people. PwC transforms business outcomes and results, helping companies use digital and emerging tech to reimagine their business, from strategy and operations to tax and finance. In the second half of the show, Scott Likens, PwC's New Services and Emerging Tech Leader, shares details from a new PwC study on the main trends in artificial intelligence that business leaders need to know about in 2019. Business Lab is hosted by Elizabeth Bramson-Boudreau, the CEO and publisher of MIT Technology Review. The show is produced by Wade Roush, with editorial help from Mindy Blodgett. Will Knight: "China has never had a real chip industry. Making AI chips could change that." PwC 2019 AI Predictions: Six AI priorities you can't afford to ignore Elizabeth Bramson-Boudreau: From MIT Technology Review, I'm Elizabeth Bramson-Boudreau, and this is Business Lab, the show that helps business leaders make sense of new technologies coming out of the lab and into the marketplace.

Modern delivery is going to be further accelerated by the adoption of Machine Learning, Artificial Intelligence and Intelligent Automation by developers. While still a few years away from achieving scale, ML, IA and AI will continue to gain traction in the development community. As DevOps continues to transform the IT function through hyper-automation, new methods to apply ML to assist with code debugging, smart components, continuous testing, and pattern recognition are taking hold in most enterprises. These technologies will streamline development, reduce cost and risk, increase quality, and enable faster MVPs- all supporting the market speed organization. Infrastructure and Operations functions (I&O) will be faced with dual diversification, creating significant complexity and pressure to transform.

As companies rapidly adopt Artificial Intelligence (AI) and related technologies, some job roles will be done exclusively by humans while others will be taken on by intelligent automation. But most emerging roles will be fulfilled by people and machines working together in the dynamic space Accenture calls "the missing middle." These roles will require people to apply higher level human skills. Our analysis of how skills have evolved in the 12 years to 2016 shows that more than half of jobs in the U.S. need more high-level creativity, 47 percent require more complex reasoning and 36 percent need more socio-emotional skills.

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.