面对面的互动会增加。

"The internet has made it possible for people to communicate easily while slowly weakening personal connections. Technology has allowed companies to track productivity with monitoring software, at the same time weakening trust. Relationships have proven to be the way to increase sales and strengthen companies. Organizations will strive to build these relationships through face-to-face interactions that are personal, meaningful and fun."

更多美容护肤消费者将转向独立品牌。

"The trend continues toward natural, organic and non-toxic beauty products focusing on maintaining skin health as much as makeup. The educated consumer cares and is aggressively moving toward all natural, organic, non-GMO and eco-friendly brands such as those that are reef-friendly, cruelty-free and consider the safety of our environment. Additionally, the marketing of cosmetics has moved from high-profile celebrity to high-profile social media influencers and word of mouth. Consumers are waking up and becoming progressively more educated. They want authenticity and truth."

35岁以上将成为消费主力军。

"Millennials are seen as early adopters and trendsetters. Deep pockets? Nope. Brands need revenue and will learn to bridge the marketing gap to include the one demographic that controls 70 percent of the nation's disposable income and that continues to expand due to rapidly improving trends in health and wellness that increase lifespan and vitality. Ignoring the 35-plus buyer will be marketing suicide."

更多的人会寻追求简单。

"Complications turn people off. As technology advances, it [affects] our need for simplicity and immediacy. This simplification in life is apparent in personal fitness, health, and wellness industries. If you keep things simple and easy to manage with the tried and true basics of nutrition and exercise, more people will venture into a healthy lifestyle. Short workouts will become all the rage, as people are constantly on the go and don't have a lot of time to commit to lengthy workouts. There will be an emphasis on at-home services that lend convenience, such as home workouts led through online programs and healthy home food delivery services."

只有新鲜的大数据才是有用的数据。

"Data is much, much more useful when it is fresh. Everyone will become focused on data freshness. SaaS companies will move away from publishing APIs (application program interfaces) and instead move to publishing data directly into your data warehouse, so it can be combined with other systems."

信任将成为科技公司的最大分水岭。

"Next year, we're going to see companies from every sector doubling down on their most important asset: trust. And for good reason. From fake news and foreign ads on social media potentially impacting our election to the massive data breach at Equifax, trust in technology took a serious beating this year. So while some of the most transformative technology in decades, like autonomous cars or blockchain, is poised to go mainstream next year, companies, or at least the successful ones, are going to do everything in their power to put trust front and center. If your users don't trust your tech, it doesn't matter how cool or transformative it is. It's dead in the water."

人工智能将推进智能视频会议。

"In 2018, AI features will play an integral role in virtual communications, and as a result, it will surpass in-person communications in terms of user experience and productivity. Artificial intelligence capabilities such as smart transcription, virtual personal assistants, and voice recognition will support smart video meetings that will become the communications standard."

有机器学习的公司和没有机器学习的公司的差距将拉大。

"In 2018 we'll see the beginnings of mainstream momentum for machine learning, an area that has been the province of a small number of very sophisticated technology companies to date. We'll see a continued separation in the market between the 'haves' that are successfully using it in production for things like predictive maintenance, fraud detection, or better customer targeting, and the 'have nots' that are simply tinkering with it. Those that succeed with ML will get significant business benefits that are meaningful, but more importantly, those that are successful in 2018 will be laying the foundation for a bigger transformation in 2019 that will go beyond having an edge to having significant market differentiation based on price, capabilities or customer service. 2018 will also be a break out year for self-service in data integration. The early adopter segment will expand and show widespread improvements in time-to-insight and time-to-market."

网络安全将是企业高管的必备能力.

"In 2018, a lot of companies will begin building security into the cultures of their companies as a means to future-proof. Cybersecurity will start to become a required competency of every executive--part of the standard job description--to ensure that it's built into every aspect of what a company does and offers to its customers."

消费者拥有物质的需求将减少。

"'You are what you own' the saying goes, but that simply doesn't ring true today, especially for millennials. The rise of the subscription economy and the 'as-a-service' business model is changing the way consumers interact with the world, to the point that we're fast reaching the time where ownership as we currently know it will die out. People no longer want stuff, just access to stuff, when they need it. From our cars to our phones, and the music and movies we stream on them, we increasingly own less. Of course, the original subscription model started long ago with renting our homes, and we're increasingly becoming a society of renters again. With the first of Generation Z hitting the workforce in 2018, we're going to see the start of a whole generation which simply haven't grown up with that expectation of ownership, and are far less emotionally wedded to it. This is the start of the bursting of the great homeownership bubble. By 2025 we'll no longer see owning a home as the norm and start seeing it for what it was, a blip in the much longer-term trend of renting."

更多的公司转向订阅模式。

"More than a decade ago, Salesforce used the subscription model to disrupt software. Netflix has done the same to disrupt TV and Spotify with music. In 2018, every company in the world will embark on the shift to subscriptions. Why? We now know that companies adopting the model are growing their revenue nine times faster than with traditional business models. Next year we'll see more and more companies making the shift to subscriptions, and also subscribing to the services they need, from building energy, and tractors, to flooring and even toilets."

更多的“大而全”公司被“小而美”替代。

"In 2018, technology companies are going to ditch the buzzword 'cloud' in favor of the next big trend in IT: microservices. This is where companies will increasingly look to scale by essentially breaking up their IT and thinking smaller and using more SDN (software defined networking) and NFV (network function virtualization) type approaches. By doing the exact opposite of what enterprises have historically been doing up until the disruption of digital technology, we're going to see the concept of microservices take on a whole new life form, as enterprise ecosystems continue to grow. Enterprises should also take note fast--moving to smaller applications makes it much easier to scale and decreases risk, while increasing efficiencies."

消费者期盼更多的语音智能。

"Rapid adoption of voice as a human interface moves worldwide and mainstream as buyers shift from early adopters to consumers that demand and expect voice on everything from home appliances to personal digital assistants."

大数据将变革房地产行业。

"Like the technology that has revolutionized financial markets, we will see AI analyze the largest data asset class in the world, real estate. No more subjective opinions or guesswork--decisions will be based on artificial intelligence (AI) working with massive data sets for a truly competitive industry regardless of whether we are talking about a single block or an entire nation, removing the constant gossip that attempts to inform the biggest decisions consumers, investors and real estate stakeholders will make."

机器学习将开始全方位变革各行各业。

"While full, generalized artificial intelligence (AI) may be still the province of university labs, the capability to utilize developments in both specialized AI and machine learning is something that is going to be far more widely available, especially through cloud services. More and more raw information is available to businesses as they continue to march toward a fully digital world, and making sense of that information will be essential to staying ahead of the competition in designing, delivering, and selling new products and services to global markets. Machine learning-based services will provide the ability to turn data into information, and information into actionable intelligence that underpins predictive analytics to operate faster, smarter and more competitively. It'll be a brave new world, and the keys to the kingdom will be shaped by AIs."

数据驱动招聘和采购将变得越来越多。

"Amazon buying Whole Foods may have caught some by surprise, but it's now clear that the tech giants can and will gobble up compelling companies from seemingly adjacent industries to gain access to their data and customers (just consider Microsoft and Salesforce's bloody battle over LinkedIn). The value of data continues to increase--so much so that the salary of a data scientist will outpace that of developers before we know it. Increasingly we're seeing developer skills becoming commoditized, while data scientists who understand new tools to execute real time decision making and machine learning are few and far between. With this, the old-school R&D universities will take on a whole new level of relevance to the tech industry."