In the following report from Fast Company magazine we can find some answers and reflections. Workplace culture is being influenced by disparate factors in significant ways. Demographic shifts, diversity and inclusion initiatives, talent shortages, automation, evolving technology, and an onslaught of data are converging to create both immediate and long-term changes. PwC chief people officer Mike Fenlon likens the changes to the cyberpunk writer William Gibson's popular quote, "The future is already here. It's just not evenly distributed," he says.

AI governance frameworks are emerging as guard rails for controlling algorithms that are playing a growing role in human decision-making. Among the goals is managing the consequences of those decisions. Business consultants and professional services firms in particular have focused on new ways to assess and control AI algorithms as a way of building trust. Among them is KPMG, which launched a new framework this week called AI in Control designed to assess algorithms underlying business applications to spot bias and enforce governance rules to ensure ethical AI. The goal of KPMG's framework is fostering AI algorithms that are accurate, addressing what the company warns is the current "trust gap" among business executives clamoring for "explainable AI."

We're right at the start of the AI revolution but we've already got a good sense of how artificial intelligence will change the face of digital marketing. Investing in new technology is a big commitment and it can be intimidating when it's underpinned by complex concepts like machine learning algorithms. Personalization was definitely the buzzword in the world of marketing in 2018 and we're going to see this trend become even more important over the next 12 months and beyond. The way that consumers respond to and interact with marketing messages is changing. Traditional marketing methods like media advertising and direct mail are no longer as effective as they once were.

How are changing demographics upsetting the CHRO's role? You have more of Gen Z coming into the workforce, and many organizations are clamoring for the talents they have, like digital skills and advanced analytics. But in the war for technical talent, they're finding it hard to get these people. One big reason is that in this generation, unlike previous generations, fewer people want to work for large established companies. And younger workers are more interested in the experience they can have at work.

Accenture Joins Forces with MIT Professional Education to Reinvent Their Quality Engineering Workforce Quality engineers are being trained to be catalysts for speed, agility and improved business performance NEW YORK; Jan. 29, 2019 – Accenture (NYSE: ACN) is collaborating with MIT Professional Education to launch a new training program aimed at training the company's quality engineers pivot from being software testers to catalysts for speed, agility and business performance. The program, 'Reinventing Quality Engineers in the New,' will train Accenture employees on real-time, insight-driven quality engineering approaches, augmented by artificial intelligence, analytics and autonomous frameworks--a vision outlined in a recent Accenture whitepaper. The jointly developed program provides Accenture engineers with opportunities to grow their skill set in ways that enhance both their own careers and Accenture's work with clients. Employees will learn how to effectively apply analytics and intelligent, model-based automation to software testing and engineering services, as well as advanced risk-based testing approaches that optimize cost and quality levels. The program consists of live virtual classroom sessions that include engagement with MIT professors, as well as self-study materials and opportunities to collaborate outside of the classroom through interactive online forums.

Accenture has announced plans to launch a new Applied Intelligence Studio for Mining in Johannesburg. The studio will apply the latest in data science and artificial intelligence technologies with new data sources for real-time co-creation of innovative digital solutions that can help mining companies solve some of their hardest analytical problems. It is expected to open in February 2019. "They are increasingly looking to apply advanced analytics to reimagine processes, unlock trapped value, and drive operational excellence in their businesses today and position themselves for growth tomorrow." "Volatile commodity prices, rising input costs and changing global demand for commodities require mining companies to rethink their strategies and business models to remain competitive," said Rachael Bartels, a senior managing director who leads Accenture's mining business globally.

As Artificial Intelligence (AI) becomes an increasingly pertinent topic of discussion in the public and private sector in the GCC region; organizations that are best positioned to succeed in an AI-enabled world are those that combine human strengths with machine intelligence, according to Booz Allen Hamilton. Countries in the MENA region are investing in AI to transform their economies over the next few years. In the UAE, the launch of the UAE Strategy for Artificial Intelligence in 2017 aims to promote government performance and create an innovative environment using machine intelligence. The strategy is the first of its kind in the region and was established to enhance government performance and efficiency in a number of fields, such as education, transportation, energy, space and technology[1]. As governments look to fulfill their AI vision, they must invest in a combination of human strengths, such as creativity, empathy, negotiation, along with those of machines, including collection and processing of data and precision, to improve the lives of citizens. Fady Kassatly, senior vice-president, Booz Allen Hamilton, MENA, said: "AI has tremendous power to shape the future of regional economies and enhance the quality of life for citizens.

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.