BCG's AI-based Trust Index enables companies to break down stakeholder perceptions of their trustworthiness. Analyses based on the Index have yielded valuable insights about what builds, sustains, or destroys trust. Most business leaders are only now beginning to realize the true importance of trust. More than a mere sentiment, trust has economic value--and in the digital age, its relevance continues to grow. At the macro level, it enables new disruptive products, services, and strategic moves; at the micro level, it smooths the way for smaller transactions at scale among a vastly greater number of buyers and sellers who have no prior relationship.

Knowledge and expertise in the real-world can be disjointedly owned. To solve a complex question, collaboration among experts is often called for. In this paper, we propose CollabQA, a novel QA task in which several expert agents coordinated by a moderator work together to answer questions that cannot be answered with any single agent alone. We make a synthetic dataset of a large knowledge graph that can be distributed to experts. We define the process to form a complex question from ground truth reasoning path, neural network agent models that can learn to solve the task, and evaluation metrics to check the performance. We show that the problem can be challenging without introducing prior of the collaboration structure, unless experts are perfect and uniform. Based on this experience, we elaborate extensions needed to approach collaboration tasks in real-world settings.

A woman living in Kenya's Dadaab, which is among the world's largest refugee camps, wanders across the vast, dusty site to a central hut lined with computers. Like many others who have been brutally displaced and then warehoused at the margins of our global system, her days are spent toiling away for a new capitalist vanguard thousands of miles away in Silicon Valley. A day's work might include labelling videos, transcribing audio, or showing algorithms how to identify various photos of cats. Amid a drought of real employment, "clickwork" represents one of few formal options for Dadaab's residents, though the work is volatile, arduous, and, when waged, paid by the piece. Cramped and airless workspaces, festooned with a jumble of cables and loose wires, are the antithesis to the near-celestial campuses where the new masters of the universe reside.

The promise of business transformation from Deep Learning is at risk due to widespread inefficiency in GPU utilization. Artificial Intelligence, Machine Learning … anyone reading this has probably heard these terms. At minimum, you get the basic concept -- smarter machines. What you might not realize is the degree to which machine intelligence is transforming the business landscape across every industry to the point where it could be barely recognizable in 15 years. Collisions between AI-driven and traditional firms are already happening across industries -- if you're not at least making a game plan, you could soon find yourself on the sidelines.

Galway start-up Chatspace has developed an artificial intelligence answers and insights platform that prevents projects on track and prevents costly failures. Chatspace works with the world's largest companies unleashing new insights for company strategy that traditional teams can't reach, automating repeatable tasks and scaling capabilities across the enterprise. The company believes that the future of work is engaged and connected employees taking advantage of the capabilities that technology provides. Its clients to date include ATOS, Nestle and Medtronic. "Project Management is integral to Enterprise," explains Chatspace CEO and founder John Clancy.

In this environment, staying competitive begins with a clear view of the AI landscape: where do some of the world's largest and most influential companies stand in terms of AI investment, deployment, and real-world outcomes? We conducted the KPMG 2019 Enterprise AI Adoption Study to gain insight into the state of AI and automation deployment efforts at select large cap companies. This involved in-depth interviews with senior leaders at 30 of the world's largest companies, as well as secondary research on job postings and media coverage. These 30 highly influential, Global 500 companies represent significant global economic value – collectively, they employ approximately 6.2 million people, with aggregate revenues of $3 trillion. Together, they also represent a significant component of the AI market.

Across age groups, U.S. employees believe that paralegals (4%), insurance underwriters (5%), and pharmacists (7%) have the best chance to survive automation; More part time employees (25%) fear that AI will take their jobs within 10 years compared to full-time workers (18%), although there is no significant difference in attitudes on the specific jobs they think are likely to disappear. Employees at the largest companies (with more than 20,000 staff) are slightly less afraid (17%) than the overall group (19%) about the effect of AI/bots on their jobs, possibly because they have already experienced its negative impact (10%), and see a more stable future. Across age groups, U.S. employees believe that paralegals (4%), insurance underwriters (5%), and pharmacists (7%) have the best chance to survive automation; More part time employees (25%) fear that AI will take their jobs within 10 years compared to full-time workers (18%), although there is no significant difference in attitudes on the specific jobs they think are likely to disappear. Employees at the largest companies (with more than 20,000 staff) are slightly less afraid (17%) than the overall group (19%) about the effect of AI/bots on their jobs, possibly because they have already experienced its negative impact (10%), and see a more stable future.

Infosys and its local rivals in India are some the largest IT outsourcers on the planet, and definitely the biggest in any emerging market. If you include New Jersey-based Cognizant in the mix, cofounded by Lakshmi Narayanan from Tata Consultancy, then six of the biggest IT services companies in the world are run by Indians. As it stands, five of the largest IT consultancies call India home. That's more than China, more than Ireland and France, and only two less than the United States if you consider the companies whose outsourcing practice is at the core of their business, like IBM for instance. India's biggest IT outsourcer of course is Tata Consultancy Services, ranked #404 on the Forbes Global 2000 list.

Summary: Someone had to say it. In my opinion R is not the best way to learn data science and not the best way to practice it either. More and more large employers agree. Someone had to say it. I know this will be controversial and I welcome your comments but in my opinion R is not the best way to learn data science and not the best way to practice it either.

Read through some examples of how the oil and gas industry will benefit from the combination of Artificial Intelligence and mobile development. To read the Bloomberg article about Apple's Artificial Intelligence chip, click here.