Analysts’ Predictions of AI development in 2019

18 Dec, 2018 10:53
source: 香港奇点财经Singularity Financial

Artificial intelligence (AI) is everywhere, driven by large investments, lots of start-ups, all established technology vendors, and enterprises big and small experimenting with it. And recent surveys by consulting firms and other observers of the tech scene show more about it.

AI adoptions: Enterprises start first step

With Smart speakers (e.g., Amazon Echo and Google Home) will become the fastest-growing connected device category in history, revenues of AI productions would see a new breakthrough in 2019.

From a recent survey by McKinsey :47% of business executives say their companies have embedded at least one AI capability in their business processes and just 21% say their organizations have embedded AI in several parts of the business. 30% say they are piloting AI. Robotic process automation (RPA), computer vision, and machine learning are the most commonly deployed AI applications.

In 2019, among companies using AI, 70% will obtain AI capabilities through the cloud. Cloud-based AI software and services will make it easier for companies to benefit from AI, accelerating their adoption and spreading their benefits. 65% will create AI applications using cloud-based development services. By 2020, the penetration rate of enterprise software with AI built in, and cloud-based AI development services, will reach an estimated 87 and 83 percent respectively.

AI and jobs: More, not less

From linkedin, in 2018, six out of the 15 emerging jobs are related in some way to AI. On average, more than one in four (26%) of all skills reported in 2017 by LinkedIn members based in the US can be classified as interpersonal or soft skills. Soft skills like project management and leadership are also among the fastest-growing “unique” skills. There is no doubt that AI skills are on the rise, but some typically human skills that today cannot be replicated by machines have been growing almost as fast and are here to stay.

And from PWC, 38% of business executives say that AI will lead to an increased headcount while only 19% say AI will lead to job cuts in their organization. Right now, the challenge is to fill jobs, and 31% of executives are worried about the inability to meet the demand for AI skills over the next five years.

AI capital raising has grown significantly since 2013, both in the number of deals and amounts. And more and more start-ups are springing. From January 2015 to January 2018, active AI start-ups increased 2.1x, while all active start-ups increased 1.3x.

China Is Dominating Al?

Launched in 2017, China’s New Generation Artificial Intelligence Development Plan is delivering strong results and has become a topic of national pride.

Chinese organizations are beginning to dominate AI with their shorter innovation BCG found that structural improvements at the national level do play an important role in laying the foundations for AI growth—investments in data infrastructure, in research hubs and networks, and higher education for IT and data-related fields.

85% of Chinese companies are active players in the field of AI, leading all seven nations in the study. BCG defines active players as those companies making tangible progress in unlocking the value of AI in two dimensions: They are already moving to adopt AI into some existing processes or currently running pilot initiatives, and their efforts thus far have generally been successful. China’s dominance can be attributed to their New Generation Artificial Intelligence Development Plan introduced in 2017, which is delivering strong results.

China’s AI dominance reaches across multiple industries compared to the majority of nations only concentrating on a few. BCG interviewed 500 Chinese companies and found that the impact of their 2017 New Generation Artificial Intelligence Development Plan is having a successful cross-industry impact on AI piloting, adoption and success with AI initiatives.

Unlike in the U.S. and other nations, China’s overall lead in the race to extract value from AI is not driven by the strong dominance of one or two particular industries; it’s succeeding as a nation and the industry-wide phenomenon that is rooted in how Chinese managers approach AI innovation.