AI assists in the discovery of individual potential and cross-field applications，AI 協助發掘個性潛能與跨領域應用
May 15th is the 14th publicity day for public security organs to combat and prevent economic crimes. At 10 am today, the Shanghai Municipal Public Security Bureau held a press conference to report the effectiveness of the measures taken by the Shanghai police to combat and prevent economic crimes, introducing the first case in the country Relevant information on money laundering crimes committed through live webcasting of “rewards”. Qian Honghao, deputy head of the Economic Investigation Corps, and Shen Anjun, head of the first division of the Economic Investigation Corps, attended the press conference to answer questions from reporters.
Qian Honghao said that in recent years, economic crimes have continued to spread, and criminal methods have been continuously mutated and upgraded, showing some new characteristics: first, they overlap with network traffic, and even use various online social platforms and e-commerce platforms for real-time economic crimes. As a result, the amount of money involved in the case is larger, the speed of transmission is faster, and the social harm is intensified; secondly, under the cover of new business forms, new market hotspots such as film and television investment, merchant franchise, virtual currency investment, and medical beauty are used to create gimmicks and infringe on the safety of public property. It is more concealed and more suspicious; the third is to target national policies such as special subsidies and export tax rebates, endangering sustainable economic development and public interests.
Previously, under the unified command and deployment of the Ministry of Public Security, the Shanghai police, with the support and cooperation of the anti-money laundering department of the Shanghai Headquarters of the People's Bank of China and relevant provincial and municipal public security organs, successfully detected the country's first money laundering crime using live webcast "rewards". There were 21 criminal suspects, and they destroyed a new type of money laundering crime industry chain that was parasitic on the webcast platform, laundering and transferring illegal fund-raising and other black and gray funds, and the amount involved was nearly 100 million yuan.
In June 2022, during the investigation of the funds involved in the case, the police found that a huge amount of stolen money was used to recharge and reward a certain webcast platform. Although the police have seen many criminal suspects squandering the stolen money recklessly during the handling of the case, it is rare for a huge amount of stolen money to be used to reward the anchor, which has attracted the attention of the police.
Starting from this, the police sorted out and checked the details of the records of the stolen money involved in the case being used for recharge and rewards. With the deepening of the investigation, the police found that the suspect of fund-raising fraud received a huge amount of money from the network anchor in his personal account shortly after recharging and rewarding the network anchor. The Shanghai Public Security Economic Investigation Department immediately set up a special case team to carry out investigations, and quickly locked 4 Internet anchors including Li Mou who had suspicious behaviors such as centralized batch refunds after the event.
Taking the network anchors as the entry point, the police followed the line and found that these anchors had close contacts with the suspects of fund-raising fraud. After further careful investigation, the police successfully dug up a new type of money laundering criminal channel in which a small number of Internet anchors accept tips to "scrub traffic" and clean up and transfer stolen money for fund-raising fraud gangs.
After investigation, from June 2019 to July 2020, in order to transfer and conceal criminal income, the above-mentioned criminal suspect of fund-raising fraud got acquainted with the criminal suspect Li Mou and others who served as anchors on a live webcast platform, and proposed that they be in Li Mou Li and others tipped gifts in the live broadcast room to increase the popularity and exposure of the live broadcast, and helped them earn the top rewards of the live broadcast platform, and instigated Li and others to return the received reward money to the suspect of fund-raising fraud person's personal account. After the event is completed, Li and others can also receive part of the commission as remuneration. Subsequently, Li and others, knowing that the tipping money was the proceeds of fund-raising fraud crimes, collected the stolen money by accepting tipping during the live broadcast, and laundered the tipping funds through cash withdrawals, transfers, etc., as criminal suspects People launder and transfer stolen money.
According to the police, since the beginning of this year, the Shanghai police have solved more than 1,300 economic crime cases and recovered more than 2.8 billion yuan in economic losses, which has helped Shanghai's business environment and economic order to continue to improve and continue to improve.
For the emerging economic crime methods emerging on the network side, the platform side is also an important prevention and control party. As of press time, Kuaishou has not yet responded to the specific policies related to the prevention and control of crimes on the live broadcast platform. Douyin said that Douyin prohibits users from producing, publishing or disseminating content that violates RMB management regulations. For illegal transactions, the platform establishes a key prevention mechanism in accordance with relevant laws and regulations, cooperates with relevant departments to actively manage, and actively cracks down on possible fraud-related black products.
Lao Mouzi made a man Jianghong. Although the box office was good, it was also criticized by many people. In fact, it is not only Lao Mouzi. Today, none of the movies and TV shows about Yue Fei are well written.
Huang Jiaozhu is too oily, there is obviously a problem with Lao Mouzi's script
At present, Yue Fei's works are slightly better, one is storytelling, and the other is comic book
At the beginning, it was said that Yue’s popular romances were not well-written, and they were well-known (due to Yue Fei’s traffic), but there were no famous bridges that left a deep impression, such as Gao Chong’s pulley, Yue Yun’s hammer shaking the gold marble, and Yang Zaixing’s Xiaoshanghe
Compared with those famous scenes in the Romance of the Three Kingdoms, the Romance is still much weaker than the Yancheng War, and the Romance was not written. This is a classic example in the history of war.
Yue Fei was originally in a good situation, but he was sold by the emperor and asked Zhang Jun, Liu Qi and other troops to withdraw. As soon as the other troops withdrew, Yue Fei was left alone in front of the Jin soldiers.
What's more, Yue Fei's troops are very scattered. Yue Fei himself only has a small number of personal troops in Yancheng, and the opposite is Zong Bi, a famous general of the Jin Army, who is the Jin Wushu in the novel.
With a small number of infantry, Yue Fei went out of the city to fight Zong Bi, who had an absolute superiority in troops, and Tie Futu, who was invincible in the world at that time.
Jurchen claims: Jurchen is less than 10,000 and invincible. In the era of cold weapons, there are only thousands of pieces of heavy armor from humans to horses. Ordinary people can't walk in it. This shows that all iron stupas are elites. The elite stamina is beast level, especially difficult to fight
In this battle, there were two fierce men. One was Yue Yun, the official who won the blood, and the other was Yang Zaixing. He rushed into the Jin army formation alone, and wanted to capture Yan Zongbi alive, although he did not kill him. Zong Bi, but wearing dozens of wounds, still killed dozens of people and retreated!
In this battle, Yue Fei fought against the cavalry of the Golden Army with infantry and won with a small number of enemies! The only advantage of the Jin people is that they are barbaric and can fight. Now Yue Fei's infantry has killed your heavy cavalry and you can't fight in the field, so what else does he fight?
Therefore, the Yancheng battle is of great significance. After the Jin soldiers were completely beaten, Zong Bi heard that the Yue family army was coming, so he avoided fighting instead of fighting.
These belong to the history books, but not in the Romance, Yue Fei's literary talent is fine, he is capable of both literature and martial arts, he is simply omnipotent
Speaking of force value, when Yue Fei was 15 years old, he could hold a bow of 300 catties and a crossbow with eight stones, that is, 379.8 catties for an open bow and 1215.36 catties for a waist stretched crossbow, which is more than twice that of the top training elites in the Southern Song Dynasty army.
The National Humanities History of the People's Daily recently had an article, which one said the emperor with the highest force value? At that time, the highest standard for selecting the officers of the Imperial Army was to draw the hard bow of one stone and five fights, saying that Zhao Gou had reached the highest standard of the officers of the Imperial Army.
In this way, we can compare how powerful Yue Fei's strength is.
When Yue Fei was young, he often rode solo. Tang Taizong Li Shimin also often did this, such as in the movie Shaolin Temple
Many people say that Guan Yu is good at stabbing horses. It is a historical record that a general singled out Yue Fei to defeat Tiefutu with fewer enemies and more enemies. This is also a true story written in history.
After all, Yue Fei fought all the way up from the small soldiers with real skills. It is really a real sword and gun. Yue Fei is stronger than Guan Yu. Yue Fei is not only a general, but also a handsome talent.
Guan Yu is the folk Guandi Temple held up by the Qing Dynasty. It used to be the Yuewang Temple in Jin Yong's novels. It can also be said that Yue Fei is still a strange historical figure to many people today.
In the book "Get Rich Down the Stream", the author divides people into different types through tests, such as generator type, technician type, creator type, trader type, accumulator type, businessman type, and knowledge person type. The concept in the book is that, based on your natural personality, you should seek out people who complement you to collaborate more smoothly. However, this classification may be too simplistic and narrow. In this article, we will explore how AI can be used to assist in the analysis of personality traits and build partnerships in a more flexible way.
By chatting with AI, we can describe our personality, abilities and characteristics, and ask AI to perform ratio analysis on these characteristics. For example, AI might tell us that we are 30% technicians, 20% creators, 15% traders, 15% accumulators, 10% merchants, and 10% supporters. Such an analysis method is more flexible and multivariate than a single label.
Next, we can use AI to help us collaborate in areas where we are not good at. For example, a videographer can have AI assist in translating subtitles, a painter can use AI to assist in copywriting, and a novelist can use AI to assist in painting. In this way, we can get a certain degree of improvement in areas that we were originally not good at.
In addition to letting AI assist us in doing things, we can also use AI to improve ourselves. For example, we could program an AI to have multiple personalities in varying proportions, and work with the AI based on those personalities. In the process of cooperation, we can learn the way of thinking of these combined personalities and make our thinking more comprehensive.
In conclusion, AI can be our tool to help us make progress in various fields. More importantly, however, AI can act as our partner to make our way of thinking more diverse and comprehensive. This is a higher level of AI application, allowing us to continuously improve our capabilities and potential in the process of using AI.
In the process of cooperation between AI and humans, we can think of AI as a coach, guiding us to think about expertise in different fields. For example, we can set the AI to have a certain percentage of traits such as stars, accumulators, traders, and supporters, and then interact with the AI. Through such interactions, we can learn how AI can fuse these qualities together to form a unique way of thinking.
In this cooperation mode, we can try to apply AI's thinking mode to our own work. For example, when writing an article, we can try to think about how to make the article more attractive from the perspective of an AI star. In this way, we can integrate AI's way of thinking into our own creative process, thereby improving the quality and attractiveness of articles.
In addition, we can also use AI to expand our horizons. In the process of working with AI, we can get in touch with expertise and ways of thinking in different fields. This will help us understand where we fall short and where we can improve. At the same time, we can also learn some interesting ways of thinking and new perspectives from AI, making our way of thinking more diverse and rich.
In conclusion, by building a partnership with AI, we can make progress in different fields and realize our full potential. This not only allows us to make better use of AI technology, but also helps to improve our own capabilities and keep us competitive in the future. Let's use AI together to create a new cooperation mode and constantly improve ourselves.
Next, we'll discuss how to use AI tricks.
In the anatomy video of MULA, they use AI for spatial transformation, convert the data of tennis games into text, and let AI predict and analyze. This method is not special, in fact, on PTT (a text-only BBS), using ANSI or ASCII codes to draw pictures is a similar concept. For example, some people use ChatGPT to draw patterns such as dragons or stars with words. In addition, we can also use AI to generate flowcharts, Gantt charts, etc.
In fact, converting images or other types of data into text for AI to analyze and understand is not a new concept. In the early days of deep learning, AI was good at recognizing objects such as cats, dogs, and people in images. However, in this process, AI actually converts image data into a feature space that it can understand for feature extraction and analysis. Such space transformation can refer to the explanation about relativity in seeing is believing.
When using AI, we can try to present a different concept with another concept, for example, teaching an image to an AI to make text, or translating musical notes into text form. Many times, when we describe things, we end up using plain words. For example, computers in the DOS era usually did not have the ability to draw pictures, but they could display text. At that time, there was something called TUI (Text-based user interface), which used characters such as straight bars, horizontal bars, and spaces to present graphics, such as progress bars.
In short, using AI techniques for spatial transformation and data analysis is not a new concept, it is a very suitable place for everyone to get creative. We can try to present different concepts with another concept, so that AI can better understand and analyze data.
The industrial revolution more than 200 years ago will automate "blue-collar" jobs such as agriculture and manufacturing, and free them from heavy physical labor; but now, "white-collar workers" who sit in offices for a long time may also think: Is there such a Tools that can automate office work?
The answer is intelligent automation and various "digital workforces" built on the basis of intelligent automation platforms. This will be a new "office work" revolution, helping companies and organizations break through time, space and geographical constraints, and greatly increase production. While improving efficiency and effectiveness, human employees can greatly improve work efficiency, ability, sense of accomplishment and happiness in the collaboration with the digital workforce.
The research firm Gartner lists hyperautomation (intelligent automation) as one of the most worthwhile technologies for companies to invest in after 2021, and McKinsey also pointed out in the report that the application of digital labor is expected to save about 17.5% of labor costs for companies, thereby enabling Employees exert more "higher-order values".
For example, a large domestic energy manufacturing group used to rely on manpower to complete a large number of verification of invoices and reimbursement documents. After configuring the automation platform, robots (digital labor) took over tasks such as bill verification, mail reminders, and review of receipts. items, which not only ensured the verification quality, but also helped the finance department staff save about 700 hours of manpower per month.
Laiye Technology is a leading brand of intelligent automation in China and even the world. It provides customers with transformative intelligent automation solutions, improves organizational productivity and office efficiency, releases the potential of employees, and helps governments and enterprises realize human-machine collaboration in the intelligent era.
The product of Laiye Technology is a set of intelligent automation platform, including Robotic Process Automation (RPA), Intelligent Document Processing (IDP), Conversational AI (Conversational AI) and Process Mining (Process Mining), etc. Based on this platform, it is possible to construct various types of digital workforce according to customer needs, realize the automation of business processes, and comprehensively improve business efficiency.
At present, the customers served by Laiye Technology have covered insurance, communications, electricity, finance, retail, medical care, and many other industries. In April 2022, Laiye Technology completed a $70 million C++ round of financing.
In addition to developing the domestic market, Laiye Technology is also expanding overseas opportunities. At present, Laiye Technology has formed an overseas team of more than 100 people, distributed in 15 countries in Southeast Asia, Europe, and the Americas, and acquired Mindsay, a French conversational AI startup.
From China to the world, the talent thinking behind the rapid expansion
With the rapid development of business, the scale of Laiye Technology is also increasing. At present, the number of employees of Laiye Technology has exceeded 700, and it has offices in mainland China and many places around the world.
Technology companies often attach great importance to talents. In a technology-intensive To B company, people's practical ability often plays an important role in specific businesses.
Laiye Technology is no exception. The company has put a lot of thought into gathering and cultivating talents with potential. Wang Guanchun, chairman and CEO of Laiye Technology, introduced that the company is more "eclectic" in recruiting talents. On the one hand, it has made a multi-point layout, and has reserved R&D positions in Beijing, Changsha, Fuzhou and other places; on the other hand, the company has enough people. Be bold and dare to let younger colleagues take on some important leadership positions.
The management style of boldly delegating power and fully trusting technicians and young people will undoubtedly attract more talents to join the team and create value, but it also puts forward some new requirements for the management of the organization. For example, the company wants to find a "growth" high When a cadre assumes an important position, how should the "growth" be judged? For another example, Laiye Technology hopes to use OKR to ensure the transparency of the organization and stimulate everyone's sense of innovation, but how can a team of hundreds of people from different countries complete the formulation, alignment, and follow-up of OKR more efficiently?
Perhaps, the company needs such a system to help managers follow up and accumulate key information about people and core business, and at the same time have enough empathy to share the vision and ideas from the management, regardless of nationality or region, frankly. Communicate to all employees.
Therefore, Laiye Technology thought of Feishu OKR and Feishu Performance.
In-depth OKR for all employees
Enterprise service is a profound and long-term business. For Laiye Technology, serving customers well requires employees with different professional backgrounds to be able to achieve long-term and in-depth "corps combat". The attributes of a technology company require that the organization must be sensitive enough to be able to respond to changes in the market and industry.
The in-depth cooperation of employees is inseparable from information transparency, and the continuous evolution of enterprises cannot bypass breakthroughs and innovations. Recognizing this, Laiye Technology has been using OKR for goal management since 2015, and is one of the few start-ups that has used OKR for more than six years.
To sum up, the practice of OKR in Laiye Technology has three major characteristics: popularization by all employees, reasonable transformation, and use of tools.
In Laiye Technology, OKR is a compulsory course for all employees. According to Yan Junmin, HRVP of Laiye Technology, HR will introduce OKR-related content to the new employees on the first day of employment. After one week of entry, employees must systematically receive a round of OKR training. In the later training of new employees, OKR formulation and OKR review will become two special courses. New employees should use the form of hands-on drills to directly formulate OKR once and review OKR again.
In the communication of Laiye Technology in various scenarios, OKR is also "seen everywhere and talked about everywhere". The HR department will periodically check the quality of the OKR formulation and review by the front-line managers of the business department, and then select high-quality OKRs and send them to the Feishu subscription account for publicity.
These actions of "talking weekly and monthly" imply a set of management logic: new employees are a blank sheet of paper, and their direct superiors (front-line managers) and their first impression of the company often have a subtle influence on them. If the superior and the working environment can positively guide new employees to learn OKR and use OKR well, then the more latecomers, the more true the doctrine.
However, in the process of promoting OKR to all employees, Laiye Technology did not directly apply existing theories, but defined the way to use OKR according to the characteristics of different positions. For example, sales colleagues must have quarterly assessment indicators. Laiye Technology has designed a KPI + OKR model for sales employees. Sales performance is measured by KPIs, while strategic goals such as developing new customers and entering new fields are OKR can be written, so that the quantitative indicators will not be shaken, and the creativity of employees can also be stimulated.
And, Feishu OKR is also playing its own unique role, becoming a part of the OKR system of Laiye Technology.
As an entrepreneur in the RPA field, Wang Guanchun, CEO of Laiye Technology, has his own insistence on "using tools to manage OKR". Make OKR deeply rooted in the hearts of the people" This big goal.
What's more, Laiye Technology already has more than 100 overseas employees. It is also inevitable for the company's business development to allow partners from different regions to have a deeper understanding of each other's ideas and priorities.
A series of functions of Feishu just meet the needs of Laiye Technology in terms of "experience" and "globalization". For example, the filling assistant that comes with OKR will actively prompt the filler which OKRs may have "low-quality" risks, help new colleagues, and can also output a set of OKRs that meet the standards and have quality.
5月15日是第14个全国公安机关打击和防范经济犯罪宣传日，今日上午10时，上海市公安局召开新闻发布会，通报上海警方全力打击和防范经济犯罪的措施成效，介绍全国首例利用网络直播“打赏”实施洗钱犯罪案件的有关情况。经侦总队副总队长钱红昊、经侦总队一支队支队长沈安俊出席发布会答记者问。
钱红昊表示，近年来经济犯罪涉及持续扩散，犯罪手法不断的传导变异升级，呈现出一些新的特点：首先就是与网络流量叠，甚至应用各类网络社交平台和电商平台实时经济犯罪，致使涉案金额更大，传播速度更快，社会危害加剧；二是以新型业态为掩护，利用影视投资、商户加盟、虚拟币投资、医疗美容等新兴的市场热点，制造噱头，侵害群众财产安全，隐蔽性更强，疑惑性更大；三是瞄准专项补贴、出口退税等国家政策，危害经济可持续发展与公众利益。
此前，在公安部的统一指挥部署下，上海警方在人民银行上海总部反洗钱部门和相关省市公安机关的支持配合下，成功侦破全国首例利用网络直播“打赏”实施洗钱犯罪案件，抓获犯罪嫌疑人21名，捣毁一条寄生于网络直播平台、洗兑转移非法集资等黑灰资金的新型洗钱犯罪产业链，涉案金额近亿元。
2022年6月，警方在对涉案资金进行追查的过程中发现，有巨额赃款被用于在某网络直播平台充值打赏。尽管警方在办案过程中见到过许多犯罪嫌疑人将赃款肆意挥霍的情况，但将巨额赃款用于打赏主播实属罕见，这引起了警方的关注。
由此入手，警方全量梳理排查了涉案赃款被用于充值打赏的记录明细。随着调查的深入，警方甄别发现集资诈骗犯罪嫌疑人在充值打赏网络主播后不久，其个人账户中便会收到网络主播打来的巨额钱款。上海公安经侦部门随即成立专案组开展立案侦查，并迅速锁定了李某等4名存在事后集中批量返款等可疑行为的网络主播。
以网络主播为切入点，警方循线深挖发现这些主播都曾与集资诈骗犯罪嫌疑人来往密切。经过进一步缜密调查，警方成功挖出一条少数网络主播通过接受打赏“刷流量”，并为集资诈骗团伙清洗转移赃款的新型洗钱犯罪通道。
经查，自2019年6月至2020年7月期间，上述集资诈骗犯罪嫌疑人为转移隐匿犯罪所得，结识了在某网络直播平台担任主播的犯罪嫌疑人李某等人，提出由其在李某等人的直播间内打赏礼物，为其抬高直播人气和曝光率，帮助其赚取直播平台榜首奖励，并指使李某等人事后再将所收取的打赏钱款返还至集资诈骗犯罪嫌疑人的个人账户中。事成后，李某等人还可从中收取部分佣金作为报酬。随后，李某等人在明知打赏钱款系集资诈骗犯罪所得的情况下，通过在直播期间接受打赏的方式收取赃款，并通过提现、转账等方式洗兑打赏资金，以此为犯罪嫌疑人清洗和转移赃款。
另据警方介绍，今年以来，上海警方已累计侦破经济犯罪案件1300余起，挽回经济损失28亿余元，助推上海营商环境和经济秩序不断优化、持续向好。
针对兴起于网络端的新兴经济犯罪手法，平台侧也是重要的防治方。截至发稿，快手方面暂未回复关于直播平台防治犯罪具体相关政策，抖音方面表示，抖音禁止用户制作、发布或传播违反人民币管理规定的内容。对于非法交易行为，平台根据相关法律规定，建立重点防范机制，配合相关部门积极治理，并对衍生的可能的涉诈等黑产积极打击。
老谋子搞了一个满江红，虽然票房不错，但也被很多人批评其实不光是老谋子，今天关于岳飞的影视，就没一个写得好的
黄教主那个太油，老谋子剧本明显有问题
目前稍好的岳飞作品，一个是评书，还有就是小人书
当初 说岳通俗演义 写的不好属于有名气（蹭了岳飞的流量）但没有名桥段印象比较深的，就是高宠挑滑车、岳云锤震金弹子还有就是杨再兴小商河
跟三国演义的那些名场面比起来演义还是弱了很多郾城大战，演义就没写出来这在战争史上都是经典战例
岳飞本来是形势大好，但被皇帝给卖了，让张俊、刘锜等其他部队撤兵别的部队一撤，就把岳飞给孤零零丢在金兵面前了
而且，岳飞的兵力还特别分散岳飞自己在郾城只有少量亲兵部队而对面是金军的名将宗弼，就是演义里的金兀术
岳飞就凭着少量步兵，出城硬刚拥有绝对兵力优势的宗弼和当时横扫天下无敌手的铁浮屠
女真人号称：女真不满万，满万不可敌在冷兵器时代，从人到马全部重甲光铁甲片就数千片，普通人穿着都走不动路这说明铁浮屠个个都是精锐中的精锐体能那就是野兽级别，特别难打
就在这场大战里，出了两个猛人一个就是赢官人岳云，杀得人为血人，马为血马一个就是杨再兴，单骑冲进金军军阵，要活捉完颜宗弼虽然没有杀了宗弼，但身披数十创依然杀数十百人全身而退！
这一仗，岳飞以少敌众，以步兵对抗金军铁骑，还赢了！金人唯一的优势就是野蛮、能打现在岳飞步兵干掉了你的重骑兵野战你都打不过，那他还打什么？
所以郾城大战意义重大，彻底把金兵打没脾气了以后宗弼听到岳家军来了，都是避而不战
这些，属于史书里有，演义里没有的岳飞文彩还好，能文能武，简直就是全能的
说到武力值，岳飞15岁时，就能挽弓三百斤，弩八石，也就是开弓379.8斤，腰张弩1215.36斤，这是南宋军队最顶尖训练尖子的2倍还多。
人民日报的国家人文历史最近有篇文章，说武力值最高的皇帝是哪个其中讲了赵构也挺历害，挽弓至一石五斗这是什么水平呢？当时选拔禁军军官的最高标准，就是拉开一石五斗的硬弓，说赵构达到禁军军官的最高标准
这样，就可以对比，岳飞武力值多猛了
岳飞年轻的时候常干单骑突阵的事。唐太宗李世民也常干这事，比如电影少林寺里就是
很多人说关羽刺良于马下，是有历史记载的武将单挑记录岳飞以少敌多，把铁浮屠打败，也是历史上有写的真事
毕竟岳飞是凭真本事，从小兵一路打上来的，真的是真刀真枪岳飞比关羽更厉害，岳飞不光是将才，更是帅才关羽打个樊城 碰到徐晃援军就打不过了
关羽是清朝捧起来的民间的关帝庙，以前都是岳王庙金庸小说里，都是岳王庙也可以说，岳飞，对今天很多人来说，还是一个陌生的历史人物
200 多年前的工业革命将使得农业、制造业等“蓝领”工作实现自动化，从繁重的体力劳动中解脱出来；而如今，久坐办公室的“白领”们，可能也会思考：有没有这么一个工具，能把办公室工作也得以自动化呢？
答案正是智能自动化，以及基于智能自动化平台搭建出的各种各样的“数字化劳动力”，这将是一场新的“办公室工作”革命，帮助企业与组织突破时空和地域限制，大幅提升生产效率和效益的同时，让人类员工在与与数字化劳动力的协同中，大幅提升工作效率、能力、成就感和幸福感。
研究机构 Gartner 将超自动化（智能自动化）列为 2021 年后企业最值得投入的技术之一，而麦肯锡也在报告中指出，应用数字化劳动力，预计可为企业节约 17.5% 左右的人力成本，进而让员工发挥更多“高阶价值”。
举个例子，国内某大型能源制造集团过去长期依赖人力完成大量核验发票、报销单据的工作，在配置自动化平台后，机器人 （数字化劳动力）接手了票据验真、邮件催办、审核收款单等工作项，不仅保证了核验质量，还帮助财务部门员工每月节省了约 700 小时的人工。
来也科技是中国乃至全球的智能自动化领军品牌，为客户提供变革性的智能自动化解决方案，提升组织生产力和办公效率，释放员工潜力，助力政企实现智能时代的人机协同。
来也科技的产品是一套智能自动化平台，包含机器人流程自动化（RPA）、智能文档处理（IDP）、对话式AI（Conversational AI）和流程挖掘（Process Mining）等。基于这一平台，能够根据客户需要，构造各种不同类型的数字化劳动力，实现业务流程的自动化，全面提升业务效率。
目前，来也科技服务的客户已涵盖保险、通信、电力、金融、零售、医疗、等众多行业，2022 年 4 月，来也科技完成了 7000 万美元 C++ 轮融资。
除了开发国内市场，来也科技还在拓展海外机会。目前，来也科技已组建超过 100 人的海外团队，分布于东南亚、欧洲、美洲的 15 个国家，并收购了法国对话式 AI 创业公司 Mindsay。
从中国到全球，快速扩张背后的人才思考
伴随着业务的迅速发展，来也科技的规模也在不断变大，目前，来也科技的员工数量已经突破 700 人，在中国大陆和全球多地均设有办公室。
科技企业往往对人才格外重视，在一家技术密集型的 To B 企业，人的实操能力往往在具体业务中发挥重要作用。
来也科技也不例外，公司花了很多心思集合、培养有潜力的人才。来也科技董事长 CEO 汪冠春介绍，公司在网罗人才时比较“不拘一格”，一方面搞多点布局，在北京、长沙、福州等地都保留了研发岗位；另一方面，公司用人也足够大胆，敢于让年轻同事承担一些重要的领导岗位。
大胆放权、充分信任技术人员和年轻人的管理方式无疑能吸引更多人才加入团队并创造价值，但也对组织的管理提出了一些新要求，比如，公司想找一位“成长性”高的干部承担某个重要岗位，那这里面的“成长性”应该如何判断？再比如，来也科技希望用 OKR 保证组织的透明，并且激发大家的创新意识，但来自不同国家的数百人的团队，怎样才能更高效地完成 OKR 的制定、对齐、跟进？
也许，公司需要这样一套体系，帮助管理者跟进、沉淀关于人和核心业务的关键信息，同时有足够的同理心，把来自管理层的愿景和理念，不分国籍和地域，坦诚地传达给全体员工。
于是，来也科技想到了飞书OKR 和飞书绩效。
伴随着业务的迅速发展，来也科技的规模也在不断变大，目前，来也科技的员工数量已经突破 700 人，在中国大陆和全球多地均设有办公室。
科技企业往往对人才格外重视，在一家技术密集型的 To B 企业，人的实操能力往往在具体业务中发挥重要作用。
来也科技也不例外，公司花了很多心思集合、培养有潜力的人才。来也科技董事长 CEO 汪冠春介绍，公司在网罗人才时比较“不拘一格”，一方面搞多点布局，在北京、长沙、福州等地都保留了研发岗位；另一方面，公司用人也足够大胆，敢于让年轻同事承担一些重要的领导岗位。
大胆放权、充分信任技术人员和年轻人的管理方式无疑能吸引更多人才加入团队并创造价值，但也对组织的管理提出了一些新要求，比如，公司想找一位“成长性”高的干部承担某个重要岗位，那这里面的“成长性”应该如何判断？再比如，来也科技希望用 OKR 保证组织的透明，并且激发大家的创新意识，但来自不同国家的数百人的团队，怎样才能更高效地完成 OKR 的制定、对齐、跟进？
也许，公司需要这样一套体系，帮助管理者跟进、沉淀关于人和核心业务的关键信息，同时有足够的同理心，把来自管理层的愿景和理念，不分国籍和地域，坦诚地传达给全体员工。
于是，来也科技想到了飞书OKR 和飞书绩效。
深入全员的 OKR
企业服务是一门精深且长期主义的生意，对来也科技来说，服务好客户，需要不同专业背景的员工能够实现长期、深度的“兵团作战”。而科技公司的属性，又要求组织必须足够敏锐，有能力应对市场和行业的变化。
员工的深度配合离不开信息透明，企业的持续演进绕不过突破与创新。认识到这些的来也科技，从 2015 年起就开始使用 OKR 进行目标管理，也是为数不多使用 OKR 长达六年以上的创业企业。
总结来看，OKR 在来也科技的实践有三大特征：全员普及、合理改造、用工具。
在来也科技，OKR 是一门全员必修课。据来也科技 HRVP 闫俊敏介绍，新员工入职第一天，HR 就会向员工介绍 OKR 相关内容，入职一周，员工要系统接受一轮 OKR 培训。后期的新员工培训中，OKR 制定和 OKR 复盘会成为两门专项课，新员工要用上手演练的形式，直接制定一次 OKR， 再复盘一次 OKR。
而来也科技各种场景的沟通中，OKR 也是“随处可见，到处都讲”。HR 部门会周期性地检查业务部门一线管理者 OKR 制定和复盘的质量，然后挑选高质量的 OKR 发到飞书订阅号上广而告之。
这些“周周讲、月月讲”的动作暗含着一套管理逻辑：新员工是一张白纸，直接上级（一线管理者）和对公司的第一印象往往会对他们产生潜移默化的影响，如果上级和工作环境都能正向引导新员工学习 OKR，用好 OKR， 那么越是后来人，越是主义真。
不过，在全员推广 OKR 的过程中，来也科技并没有直接套用现成理论，而是根据不同岗位的特性划定了使用 OKR 的方式。比如，销售同事要有分解到季度的考核指标，来也科技就为销售员工设计了 KPI + OKR 并进的模式，销售业绩用 KPI 衡量，而开拓新客户、进入新领域等等战略性的目标则可以写入 OKR， 这样一来，量化指标不会动摇，员工的创意也能得到激发。
以及，飞书OKR 也在发挥自己的独特作用，成为了来也科技 OKR 体系的一部分。
作为 RPA 领域的创业者，来也科技 CEO 汪冠春对“用工具管理 OKR”这件事有自己的坚持，在他看来，没有工具，或者工具不够好，都难免影响大家体验 OKR ，进而影响“让 OKR 深入人心” 这个大目标。
更何况，来也科技已经有 100 多名海外员工，让来自不同地区的伙伴能够更深入地了解彼此的想法与侧重，也是公司业务发展的必然。
飞书的一系列功能，恰恰满足了来也科技在“体验”和“全球化”上的需求。比如 OKR 自带的填写助手，会主动提示填写者哪些 OKR 可能有“低质量” 风险，助力新入职的同事，也能输出一组符合标准、有质量的 OKR。
企业服务是一门精深且长期主义的生意，对来也科技来说，服务好客户，需要不同专业背景的员工能够实现长期、深度的“兵团作战”。而科技公司的属性，又要求组织必须足够敏锐，有能力应对市场和行业的变化。
员工的深度配合离不开信息透明，企业的持续演进绕不过突破与创新。认识到这些的来也科技，从 2015 年起就开始使用 OKR 进行目标管理，也是为数不多使用 OKR 长达六年以上的创业企业。
总结来看，OKR 在来也科技的实践有三大特征：全员普及、合理改造、用工具。
在来也科技，OKR 是一门全员必修课。据来也科技 HRVP 闫俊敏介绍，新员工入职第一天，HR 就会向员工介绍 OKR 相关内容，入职一周，员工要系统接受一轮 OKR 培训。后期的新员工培训中，OKR 制定和 OKR 复盘会成为两门专项课，新员工要用上手演练的形式，直接制定一次 OKR， 再复盘一次 OKR。
而来也科技各种场景的沟通中，OKR 也是“随处可见，到处都讲”。HR 部门会周期性地检查业务部门一线管理者 OKR 制定和复盘的质量，然后挑选高质量的 OKR 发到飞书订阅号上广而告之。
这些“周周讲、月月讲”的动作暗含着一套管理逻辑：新员工是一张白纸，直接上级（一线管理者）和对公司的第一印象往往会对他们产生潜移默化的影响，如果上级和工作环境都能正向引导新员工学习 OKR，用好 OKR， 那么越是后来人，越是主义真。
不过，在全员推广 OKR 的过程中，来也科技并没有直接套用现成理论，而是根据不同岗位的特性划定了使用 OKR 的方式。比如，销售同事要有分解到季度的考核指标，来也科技就为销售员工设计了 KPI + OKR 并进的模式，销售业绩用 KPI 衡量，而开拓新客户、进入新领域等等战略性的目标则可以写入 OKR， 这样一来，量化指标不会动摇，员工的创意也能得到激发。
以及，飞书OKR 也在发挥自己的独特作用，成为了来也科技 OKR 体系的一部分。
作为 RPA 领域的创业者，来也科技 CEO 汪冠春对“用工具管理 OKR”这件事有自己的坚持，在他看来，没有工具，或者工具不够好，都难免影响大家体验 OKR ，进而影响“让 OKR 深入人心” 这个大目标。
更何况，来也科技已经有 100 多名海外员工，让来自不同地区的伙伴能够更深入地了解彼此的想法与侧重，也是公司业务发展的必然。
飞书的一系列功能，恰恰满足了来也科技在“体验”和“全球化”上的需求。比如 OKR 自带的填写助手，会主动提示填写者哪些 OKR 可能有“低质量” 风险，助力新入职的同事，也能输出一组符合标准、有质量的 OKR。
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