U.S.-China Trade Standoff May Be Initial Skirmish in Broader Economic War

The United States is increasingly wary of China’s emerging role in the global economy and the tactics it uses to get ahead, including state-sponsored hacking, acquisitions of high-tech companies in the United States and Europe, subsidies to crucial industries and discrimination against foreign companies.

The Trump administration has begun trying to limit China’s economic influence in the United States and abroad, warning about China’s ambitions in increasingly stark terms. Mike Pompeo, the secretary of state, compared China’s ambitions to Russia and Iran in a speech in London last Wednesday, saying Beijing poses “a new kind of challenge; an authoritarian regime that’s integrated economically into the West in ways that the Soviet Union never was.”

China, whose ambition is to dominate industries of the future, is pushing back. A column on Saturday in the Communist Party’s People’s Daily newspaper stated, “The United States is again waving the club of tariffs after misjudging China’s strength, capacity and will, further escalating trade friction between our two countries.”

The piece was written under the pen name Zhong Sheng — the “voice of China” — a name used when the paper publishes comments on foreign affairs that are authoritative.

Restraining China’s ambitions and methods is a tricky task — and there is concern that the Trump administration’s effort is creating a new red scare, fueling discrimination against China and its citizens that could ultimately hurt the United States. As many as 30 Chinese professors have had their visas to the United States canceled in the past year, or been put on administrative review, according to Chinese academics and their American counterparts.

“We’ve got decades of painful negotiating with China ahead,” said David Lampton, a China scholar at Stanford University. Mr. Lampton said a trade deal, if reached, would do little to resolve the bigger conflict. “It’s just a skirmish in an ongoing battle.”

.. While a trade deal could calm some tensions and establish more good will between the two nations, it is unlikely to achieve many of the ambitious goals that the administration has set for itself. Mr. Trump’s advisers, in particular the United States trade representative, Robert Lighthizer, have been focused on what the administration calls China’s practices of “economic aggression.”

But the administration has struggled to address the immensity of the problems in the text of a trade deal. People close to the talks say that the negotiators appear powerless to force any changes that aren’t in China’s interest.

Mr. Liu, who is leading China’s team in the trade negotiations, hinted at that uphill battle in a video statement released by the official Xinhua news agency.

Instead, a trade deal between the two countries seems more likely to bring change around the margins — tens of billions of dollars of soybean purchases, some tariffs lifted and changes to the text of Chinese laws or regulations that the country might ultimately disregard, particularly once another administration occupies the White House.

This is a decades-long endeavor,” said Robert Daly, the director of the Wilson Center’s Kissinger Institute on China and the United States. “This can’t be waved away over cake at Mar-a-Lago.”

The notion that the United States has one last shot to change China’s behavior is held by an array of people on both sides of the political spectrum. But it is an aggressive notion of American power to upend a rival system that has delivered prosperity for its people and put China on course to be the world’s largest economy.

Many in China see the United States as a declining power bent on enforcing its will on a world that no longer cowers before its hegemonic might. The troubles in American democracy and the long economic slump after 2008 persuaded many in China that its instincts to chart its own course were correct. In the eyes of many Chinese, their country is simply reclaiming its historic status as a dominant regional power in Asia.

It has also projected power across Asia, Africa and elsewhere while the United States has, on many fronts, retreated from its post-World War II commitment to the global order. But it has done so with little application of military force, in sharp contrast to what many in China see as American militarism.

Many in China have sought to avoid a trade conflict, which could have a larger impact on their economy than the United States’. But they have long thought the United States would have a difficult time accepting a true peer in economic, technology and military power, so consider the management of conflict with the United States to be an inevitable result of their own rise.

While the Trump administration accused China of breaking a trade deal, China’s resistance to the emerging terms stemmed from its belief that the United States was asking too much and offering too little in return. Many of the changes the United States seeks would limit what Chinese officials regard as a tried-and-true approach of using tens of billions of dollars from state-owned banks and government investment funds to turn previously small industries like car production or solar panel manufacturing into the largest industries of their kind in the world.

And the Chinese view some of the Trump administration’s demands as infringing on their sovereignty and giving America too much power over their economy — including requiring the country to codify changes through legislation in the National People’s Congress. To the increasingly nationalistic public in China, the American requests are reminiscent of 19th century history of unequal treaties forced on the country by foreign powers.

Mr. Trump on Saturday suggested China was simply delaying a deal in the hopes that a Democrat would win election in 2020 and continued his pugilistic approach, saying “the deal will become far worse for them if it has to be negotiated in my second term. Would be wise for them to act now, but love collecting BIG TARIFFS!”

In the United States, China’s unwillingness to bow to America’s demands is uniting lawmakers like the Democratic Senate leader, Chuck Schumer of New York, and Senator Marco Rubio, Republican of Florida.

That is a significant shift from the prevailing view in the United States since the death of Mao Zedong in 1976 that close economic engagement with China would produce an increasingly democratic country that would be closely tied to an international economic order founded mainly on Western liberal ideals.

That has not happened.

China has indeed grown in prosperity, leaping into the ranks of what the World Bank defines as upper-middle income countries. Its economy is now bigger than any other country except the United States. Its manufacturing sector is now bigger than those of the United States, Germany and South Korea combined.

But in the last five years, China has veered toward increasingly repressive authoritarianism at home and a rapid military buildup. The State Department estimates that Beijing has put 800,000 to two million Muslims in hastily built internment camps ringed with barbed wire in northwestern China. The Chinese government has built an archipelago of air bases on artificial islands in the South China Sea in between Vietnam, Malaysia, Indonesia and the Philippines. And China now has the world’s largest navy and has conducted

China has indeed grown in prosperity, leaping into the ranks of what the World Bank defines as upper-middle income countries. Its economy is now bigger than any other country except the United States. Its manufacturing sector is now bigger than those of the United States, Germany and South Korea combined.

But in the last five years, China has veered toward increasingly repressive authoritarianism at home and a rapid military buildup. The State Department estimates that Beijing has put 800,000 to two million Muslims in hastily built internment camps ringed with barbed wire in northwestern China. The Chinese government has built an archipelago of air bases on artificial islands in the South China Sea in between Vietnam, Malaysia, Indonesia and the Philippines. And China now has the world’s largest navy and has conducted military exercises as far away as East Africa and the Baltic Sea.

On the economic front, the competition is even fiercer. Trump administration officials warn that China is trying to dominate the global 5G infrastructure that will be the basis for future mobile communications and is competing to set other technological standards that will determine which global companies win.

China is extending low-cost loans and building infrastructure around the globe through its One Belt, One Road program, which critics warn is making poorer countries beholden to China. It is out-investing the United States in some high-tech industries, and is gaining dominance in certain segments, like mobile payment, new energy vehicles and areas of artificial intelligence.

While American companies have long hankered for access to China’s growing market, their position has begun to shift as they see China’s practices and treatment of foreign companies. A survey released by the American Chamber of Commerce in China in February showed that the majority of its members favored retaining tariffs on Chinese goods while trade negotiations continued.

China’s own experts say that the Beijing leadership has been caught off guard by the pace of change in American perceptions of Sino-American relations.

“Even if there is some kind of agreement between Xi and Trump, in the long run the strategic bilateral relationship is already in trouble,” said Zhang Jian, a professor in the School of Government at Peking University. “There is no coming back, even if there is a deal.”

The new way your boss can tell if you’re about to quit your job

IBM wants to keep its employees from quitting, and it’s using artificial intelligence to do it.

In a recent CNBC interview, chief executive Ginni Rometty said that thanks to AI, the tech and consulting giant can predict with 95 percent accuracy the employees who are likely to leave in the next six months. The “proactive retention” tool — which IBM uses internally but is also selling to clients — analyzes thousands of pieces of data and then nudges managers toward the employees who may be on their way out, telling them to “do something now so it never enters their mind,” Rometty said.

IBM’s efforts to use AI to learn who might quit is one of the more high-profile recent examples of the way data science, “deep learning” and “predictive analytics” are increasingly infiltrating the traditionally low-tech human resources department, arming personnel chiefs with more rigorous tools and hard data around the tricky art of managing people.

.. Almost every Fortune 100 company, said Brian Kropp, group vice president for advisory firm Gartner’s HR practice, has a head of “talent analytics” and a team of data scientists in human resources.

“Compare that to three years ago, when there were maybe 10 to 15 percent that had a named and known head of talent analytics,” said Kropp, whose firm counts IBM as a client. “It’s the fastest-growing job in HR.”

.. Analysts say retention, in particular, is a critical area for the application of artificial intelligence. For one, there’s a clear event that happens — someone quits and leaves the company, or threatens to — that helps data scientists seek patterns for intervening.

“The person was here, and then the person was not here,” Kropp said. “It is where the more sophisticated analytics work in HR is going.”

Meanwhile, especially in a labor market with an unemployment rate below 4 percent and a near-record rate of people quitting their jobs for new gigs, there’s increasing worries about the high cost of not keeping great employees. The cost of trying to hire a replacement, Kropp said, is about half that person’s salary.

IBM’s use of AI in HR, which began in 2014, comes at a time when the 108-year-old company has been trying to shift its massive 350,000-person workforce to the most current tech skills and includes 18 different AI deployments across the department. Diane Gherson, IBM’s chief human resources officer, said in an interview that using tech to predict who might leave — considering thousands of factors such as

  • job tenure,
  • internal and external pay comparisons, and recent promotions —

was the first area the department focused on.

“It was an obvious issue,” she said. “We were going out and replacing people at a huge premium.”

IBM had already been using algorithms and testing hypotheses about who would leave and why. Simple factors, such as the length of an employee’s commute, were helpful but only so telling.

“You can’t possibly come up with every case,” Gherson said. “The value you get from AI is it doesn’t rely on hypotheses being developed in advance; it actually finds the patterns.”

For instance, the system spotted one software engineer who hadn’t been promoted at the same rate as three female peers who all came from the same top university computer science program. The women had all been at IBM for four years but worked in different parts of the sprawling company. While her manager didn’t know she was comparing herself to these women, the engineer was all too aware her former classmates had been promoted and she hadn’t, Gherson said. After the risk was flagged, she was given more mentoring and stretch assignments, and she remains at IBM.

While the program urges managers to intervene for employees who have hard-to-find skills — offering them raises, public recognition or promotions — potential quitters that the system identifies as having less-valuable skills or who are low performers don’t necessarily get the same response.

Our universe for doing this is not the whole IBM universe, and does not include low performers,” Gherson said. “The ones who are in high demand today and high demand tomorrow are going to be the ones we treat with a very high-touch” response.

IBM does not analyze or monitor employees’ email, external social media accounts or other internal message boards as part of its predictions on who has one foot out the door. But some start-ups have scraped publicly available LinkedIn data, for instance, to predict probable departures.

Meanwhile, other vendors have recently begun analyzing data to predict how lower employee engagement scores can give companies a nine-month heads-up about the groups of workers that might be at risk of leaving. Josh Bersin, an industry analyst who focuses on HR technology, said some companies have taken a high-level look at email to make predictions.

He recently wrote about how some firms have studied email “metadata” and communication patterns, finding that people who quit were less engaged in their email for up to six months before leaving.

“Predictive attrition” methods are becoming popular, he said, because “it’s so hard to hire people. Companies just want to know why people are leaving, and they want data about why people are leaving.”

How effective such systems really are at predicting who might leave — and whether the interventions suggested will always work to keep them — is still somewhat unknown, Kropp said. And some patterns the AI might turn up — for instance, women of childbearing age who leave tend to have higher turnover rates — might be tricky for managers to address.

But they may still offer an edge over the surprise office visit from an employee no one guessed was about to leave.

“There’s still always going to be a lot of art, and a lot of uncertainty,” Kropp said. “But it’s still better than a manager guessing.”

Walmart Builds a Secret Weapon to Battle Amazon for Retail’s Future

The world’s largest retailer is using Jetblack, a money-losing personal-shopping service, to develop artificial intelligence to compete with e-commerce giant Amazon

Walmart is using Jetblack’s army of human agents to train an artificial intelligence system that could someday power an automated personal-shopping service, preparing Walmart for a time when the search bar disappears and more shopping is done through voice-activated devices, said Jetblack CEO Jenny Fleiss.

.. Walmart is competing with Amazon, which has $233 billion in annual sales, including web services.

.. Walmart is the world’s biggest retailer by revenue, with $514 billion in annual sales, but e-commerce makes up only a small percentage. That’s out of sync with where retail is growing fastest. Across the U.S., online shopping accounted for 9.7% of total retail sales last year and grew 14.2% from the previous year, according to the Commerce Department.

Walmart bought India’s biggest e-commerce site. It has been buying up small online retailers including men’s apparel company Bonobos and is testing autonomous cargo vans for home grocery delivery in places such as Surprise, Ariz.

.. it is one of the biggest gambles Walmart is making to attract wealthy shoppers and burnish its tech credentials.

Walmart primarily views the company as a research hub on AI and voice shopping.

.. Marc Lore, head of Walmart’s U.S. e-commerce business, had in mind a Jetblack-like service before Walmart bought his e-commerce startup Jet.com in 2016. That website sells products that appeal to urban shoppers, including higher-end brands that won’t sell on Walmart.com.

Mr. Lore was fascinated by the idea of a premium service that allowed shoppers to order products for speedy delivery by speaking into the air, said people familiar with his thinking. “This is a Marc Lore passion project,” said one former Walmart executive.

.. One former Walmart executive said Jetblack is “the first thing that we’ve tried that will unwind you” consistently from Amazon Prime. “The early indication is that it has legs,” even if the point isn’t earning profits, the former executive said.

Jetblack members are spending an average of $300 a week for products because the ease of the service encourages more frequent purchases ..

.. The average shopper is buying more than 10 items a week, said Ms. Fleiss. Average spending a week is higher than last September, said a company spokesman, but he declined to say how much Jetblack members spend a week or how many of those products come from Walmart.

.. Customer-service agents, often recent college graduates drawn to the startup culture of Jetblack, need to become experts on wealthy New York City moms. Agents have two weeks of training, in part to learn what products babies need as they move through different developmental phases so they can make better product recommendations.

.. Moms—the vast majority of members—sometimes text fast requests like “reorder cereal.” When a Jetblack member joins, an employee usually goes to the customer’s home to inventory the products the person uses, giving agents a database of frequent purchases. Software automatically suggests a product if it is a frequent purchase or was scanned in the customer’s home.

.. It takes agents slightly longer to place an order for “item requests,” when the shopper knows exactly what they want but hasn’t ordered it before. Even more time-consuming are “recommendations,” open-ended requests such as “I need a new yoga mat” or “I need a birthday present for a 9-year-old.”

.. Agents consult a file that combines past purchases, products agents have researched and recommendations made by Jetblack merchandising workers, then suggest around three items for the customer to choose from, current and former employees said. Sometimes agents head to Google to do research, said one of these people.

.. Through the dialogue, the system is learning which follow up questions to ask, said Ms. Fleiss. For example, if a shopper asks for a new stroller, the system might learn to next ask “For how many children?” and “Do you need your child to nap in the stroller?” Members buy one of the recommended products 80% of the time, she said.

.. Jetblack also learned it still needs traditional technology. It created a companion app because some shoppers don’t like to update credit card information or review past orders over text.

Workers stock up on frequently purchased items by taking a daily van to a Jet.com warehouse and Walmart stores in New Jersey, since New York City has no physical Walmart stores, ordering products online for pickup. Later this year Jetblack plans to use a new Walmart fulfillment center in the Bronx to collect some products faster, said a spokesman.

Dialogflow Entities: Identify things your users mention [Basics 2/3]

Learn how to use Entities in Dialogflow (https://dialogflow.com/) to extract information that users mention.

In this short guide, Dan Imrie-Situnayake from Google will teach you how to use Dialogflow’s Entities to identify specific information provided by users in conversation with AI software. Learn how to build great conversational experiences with Dialogflow’s Entities!

Dialogflow is a tool for building software that can engage in conversation. It uses Google’s AI to make it easy to build apps that are fluent in natural language for the Google Assistant, Alexa Skills, Facebook Messenger, Slack, and many other platforms.. This three part series will explain how it works and get you ready to start building.

Here are some helpful Dialogflow links:

Dialogflow – https://goo.gl/jeGDqR
Documentation – https://goo.gl/LiG2qq
Support – https://goo.gl/Y1asgJ
G+ community – https://goo.gl/YjUaQa
System entities list – https://goo.gl/fL1hJj