工业4.0是制造业中正在发生的一个巨大的转变，从规模制造转向大规模定制生产。传统供应链正在利用这个机遇融入新技术和新流程。智能制造工业云（SMIC）是个跨行业倡议，致力于在去中心化的的产品设计和制造中实现成本和时效的管理优势。

Industry 4.0 is a paradigm change occurring in manufacturing seeing a shift from mass manufacturing to mass customization. Supply chains are embracing this opportunity to incorporate new technologies and processes, Smart Manufacturing Industrial Cloud is a cross industry initiative committed to enabling the advantages available via decentralized product design and manufacturing.

The pace of change is faster than it’s ever been and slower than it’s going to be. The future belongs to continuous learners. We learn and grow by tackling challenges that are outside our comfort zone but adjacent to it and aligned with our strengths.

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Creating a healthy environment and making sure that each individual is experiencing the right level of challenge to continue to grow is a guaranteed recipe for individual and business growth. 

The announcement BMW and Daimler are combining to create a new organisation providing urban mobility solutions, reflects an increasing importance  traditional OEMs are placing upon developing platforms to retain customers within their in-car connected service eco-systems.  This pooling of resources is designed to counter disruption from the tech sector, in the provision of localised solutions better reflecting end user lifestyle needs.  Alibaba is one such organisation that via its partnership with SAIC, created Banma, an infotainment platform, enables collaboration between developers and car manufacturers in R&D. 

At D2D we're committed to a culture and working environment that encourages continuous learning and development and celebrates success.  Leading by example Dr. Xiaohang Zhang, who has this month successfully completed an accelerated study course, achieving a nano-degree in Artificial Intelligence Programming with Python.  In achieving this qualification Xiaohang has acquired a certified understanding of Python, Numpy, Pandas, Matplotlib, PyTorch and Linear Algebra, the foundations for building a neural network.

试想象一个忙碌的工作场所，每个人由于各种原因，即使是他们怀有良好的愿景，很有可能还是无法充分发挥他们所拥有的100%能力。他们当前的业绩与他们可以达到的业绩水平之间的差距是公司资源的一种浪费，也使他们失去了一个更高效工作和自我实现的机会。  

我们对2019年年的展望从强调变⾰革型领导技能开始， 因为“Z世代”已越来越⼴广泛地参与到职 场。越来越多的企业领导者将寻求帮助，以使他们变得更更具包容性和吸引⼒力力，成为对年年 轻⼈人才和创新发展的真正开发者。未能“颠覆⾃自⼰己”的领导团队将⽆无法在⽇日渐剧烈烈的市场竞 争中吸引⼈人才并留住⼈人才。