Algorithm brings subversion
Recently, the algorithm's headline for today's headlines disclosed its core algorithm for the first time at a sharing session. I have to say that I can do what I want, and the accurate headline of today’s headlines has achieved great success with the magic of “algorithmâ€. In just over two years, I have 220 million users, more than 2000 per day. Ten thousand users read articles of interest in today's headlines, which once made editors feel a little panic - the machine really wants to replace humans?
In fact, since Google’s artificial intelligence program AlphaGo defeated the Korean Go master Li Shishi in 2016, it kicked off the prelude to the human-machine battle. On December 7, 2017, Google DeepMind mobilized an AlphaZero program, which took 8 hours. Self-taught to conquer Go, Chess and Japanese Chess, for this battle to go to the next city. So will humans be replaced by AI? This article does not discuss this for a while, only a game of chess, limited knowledge, but it is certain that the algorithm has revealed its edge, and entered our lives, and has even begun to change the world.
The subversion brought by the algorithm happened to us: our travel - the taxi does not own a taxi, but uses algorithms to connect drivers and passengers; our order--the public comment and the new US strategic cooperation after the US Mission Instead of producing food, we use algorithms to connect merchants and customers and logistics, and directly “deliver†food to our hands; our shopping – the world’s second largest retailer, Alibaba, has no inventory, but uses algorithms to help others. Sell ​​and buy products.
Companies like the taxis, New America and Alibaba clearly show that intelligent algorithms can disrupt the entire industry. However, this change has only just begun, and it will be possible to see that all industries are affected by algorithms in the next decade. Gartner calls this trend "algorithm business," which fundamentally changes the way we do business.
Algorithm definition action
Peter Sondergaard, senior vice president of Gartner, proposes "Algorithm Definition Actions". By 2020, smart products and related institutions will promote 40% of people's interaction with data.
The algorithm business is not new, but why do we always mention it now?
Starting with the word "big data", many places have mentioned that big data is the oil of the 21st century. That's true, but according to Gartner's latest article, the data itself is meaningless, and the data itself doesn't do anything unless you know how to use it.
Think about the following scenes
In the field of online retailing - the recommendation engine uses algorithms to accurately recommend products based on customers' past purchase records and browsing "similar" customer behavior.
In the medical field – medical staff are using diagnostic algorithms to support disease diagnosis, providing patients with a second diagnosis and reviewing the patient’s past history of drug allergy
In the field of transportation logistics - algorithm analysis data, application and parts management and procurement systems to ensure that the required parts preparation is ready before engineering failure detection
In each of these cases, the algorithms are not just doing numerical operations: they directly support certain roles (in the case above, customers, medical staff, and inventory managers). People can make smarter decisions faster and reduce risk.
Algorithms build the future
So why are companies not improving their performance by pushing more algorithms? The answer is often: companies only use data analysis to aid reporting, and more for data feedback after the event. For example, last month's sales or customer service data may be interesting, but it is just a "post-gun".
To gain insights that can help the business, companies must provide this data on demand and in a timely manner. Equally important, however, is that data must be integrated into the enterprise architecture and processes, and the architecture and processes are refined to make efficient use of the data.
The world of algorithms is like a vast starry sky with no margins. No algorithm is universal, and each specific problem requires an algorithm. How to find the most suitable algorithm in combination with the business scenario is a big challenge for enterprises.
Therefore, the algorithm business involves a direct connection between the algorithm and the enabling service. This is not something you can buy from a supplier, but it needs to be developed within the company. That's why Intel, as a company with analytics technology, spends a lot of time helping customers understand their analytical capabilities, increasing the interaction between business and technical teams so they can achieve their analytical goals, while Intel is also adopting the underlying products. Innovation, committed to providing industry users with leading products and solutions, actively responding to and solving the challenges brought by data, fully unlocking its potential, allowing data to truly promote business insight and improve efficiency. As a leader in the digital information industry, Intel is building more companies as a technology enabler and is committed to working with industry users to innovate.
The algorithmic business "empire" is not built in a day, but requires a top-down thinking shift across the company. Interestingly, this shift in thinking is not necessarily difficult, because we as consumers have become accustomed to, and even expect, algorithms to help us in our lives. Intel will continue to drive technological innovation from the edge to the data center and the cloud to help companies thrive in the data age.
Marine Diesel Generator,Marine Generator Set,Diesel Marine Generator,Boat Genset
Jiangsu Vantek Power Machinery Co., Ltd , https://www.vantekpower.com