["Internet +" competition HUAWEI CLOUD track] EI proposition strategy: HUAWEI CLOUD EI has super rich capabilities to help you realize your AI dream

Abstract: Huawei Cloud Track EI propositions for this "Internet +" competition, starting from actual business scenarios, launched four propositions in the fields of artificial intelligence and big data.

This article is shared from the HUAWEI CLOUD community " ["Internet +" Contest HUAWEI CLOUD Track] EI proposition strategy: HUAWEI CLOUD EI has super rich capabilities to help you realize your AI dream ", author: technical torchbearer.

As artificial intelligence, 5G, big data, etc. have become the most active technology and industrial directions in the development of the digital economy, they are becoming the core information infrastructure for the digital transformation of the economy and society. As the core force of the new round of technological revolution and industrial transformation, artificial intelligence is promoting the upgrading and transformation of traditional industries, and is gradually landing in the fields of intelligent transportation, smart home, and smart medical care. It can be said that artificial intelligence has brought convenience to our current lives that were unimaginable before.

At present, various research practices of artificial intelligence and big data have made huge breakthroughs, but various obstacles need to be broken through in the application of technology products. In order to better apply AI and big data to the industry, the Huawei Cloud Track EI proposition of this "Internet +" competition, starting from actual business scenarios, introduced four propositions in the field of artificial intelligence and big data:

• Build a "medical + AI" solution based on HUAWEI CLOUD EI capabilities;

• Build computer vision industry applications based on HUAWEI CLOUD EI capabilities;

• Creative works based on the AI development platform ModelArts and MindSpore open source framework;

• Build big data-enabled industry applications based on HUAWEI CLOUD EI capabilities

Introduction to the competition: content and form of the work...all open

Open questions! You read it right.

First of all, the competition questions only stipulate the direction field and do not make specific stipulations. As long as the work contains one of the following fields, you can register for the competition:

•Medical + AI

•Computer vision field

• Application ModelArts platform and MindSpore framework

•Big data field

Secondly, the form of the work is not limited, mobile applications, small programs, algorithm models, solutions, software and hardware combination system solutions, etc. are all available.

The work is not required to be completely based on HUAWEI CLOUD EI product development, and the ability to use or combine HUAWEI CLOUD EI products in the development is sufficient.

Interpretation of competition questions: Master the required techniques and tools in advance, and you will get twice the result with half the effort

Based on artificial intelligence and big data technology, Huawei Cloud EI provides an open, credible, and intelligent platform through cloud services, combined with industrial scenarios, enabling enterprise application systems to see, hear, and speak, and have analysis and understanding Capabilities such as pictures, videos, languages, texts, etc., allow more individuals and enterprises to use AI and big data services conveniently and accelerate business development.

The topics of the Huawei Cloud EI competition are mainly two technical directions: artificial intelligence and big data. In the field of artificial intelligence, participants can combine Huawei Cloud EI related products: AI development platform ModelArts, Huawei HiLens, graph engine service GES and other basic AI platform services, as well as general and high-level APIs such as text recognition OCR, image recognition, and speech recognition. .

AI development platform ModelArts: a one-stop AI development platform for developers, providing massive data preprocessing, intelligent labeling, large-scale distributed training, automated model generation and on-demand deployment of end-side-cloud models to help users quickly create And deployment models to manage the full-cycle AI workflow.

Huawei HiLens: A multi-modal AI development application platform for end-cloud collaboration, providing a simple and easy-to-use development framework, out-of-the-box development environment, rich AI skills market and cloud management platform, and docking with a variety of end-side computing devices.

Graph Engine Service GES: A service for query and analysis of the "graph" structure data based on the "relationship". Widely used in social applications, enterprise relationship analysis, risk control, recommendation, fraud prevention and other scenarios with rich relationship data

In the field of big data, Huawei Cloud EI's big data computing service MRS, data lake exploration DLI, big data search and analysis CSS, big data governance and development DGC and other services can be combined.

Big data computing service MRS: Provide customers with ClickHouse, Spark, Flink, Kafka, HBase and other Hadoop ecological high-performance big data engines, support data lake, data warehouse, BI, AI integration and other capabilities, fully compatible with open source.

Data Lake Exploration DLI: Fully compatible with ApacheSpark, ApacheFlink, and openLooKeng (based on Presto) ecology, it provides one-stop serverless integrated processing analysis services for stream processing, batch processing, and interactive analysis.

In order to allow participants to better master and apply these products, Huawei Cloud provided relevant online courses and other learning materials on the contest page for your reference.

How to use HUAWEI CLOUD EI product development works?

From HUAWEI CLOUD official website->Products, "Artificial Intelligence" and "Big Data" in the product category are HUAWEI CLOUD EI products. Participants can choose one or more HUAWEI CLOUD EI product development works based on their own work development needs. The following takes the AI development platform ModelArts as an example to introduce.

From the product list, click on the AI development platform ModelArts to enter the product page. The product page introduces the ModelArts development process, capability details, introduction to each functional module, application scenarios, and customer cases. Click "Management Console" to enter the ModelArts development page (as shown in the figure below). You can view the corresponding module "User Guide" in the upper right corner of the page. If you have any questions during the use of the product, you can contact the proposition interface person at any time.

AIGallery in the ModelArts community has a large amount of labeled data, algorithms that can be directly used for training, models that can be directly run, and the notebook code one-click run. All participants can use these AI assets for free based on their own work needs. Among them, the algorithm covers 100+ algorithms in the fields of computer vision, natural language processing, speech recognition, search recommendation, time series prediction, etc., which can meet most development scenarios.

In addition, there are systematic courses and AI practical camp activities in AIGallery. Developers can learn ModelArts practical development courses by themselves or participate in AI practical camp activities. HUAWEI CLOUD AI experts will take you to learn AI programming Python practical camps, machine learning practical camps, MindSporeAI framework actual combat camp, deep learning actual combat camp, intensive learning actual combat camp, and ModelArts actual combat camp are six actual combat camps.

Here are a few more related product technologies that apply HUAWEI CLOUD EI, and the developed cases are for your reference. Hope to bring some help to your competition.

1. Jinyu cooperates with Huawei Cloud AI technology to assist cervical cancer screening: https://www.huaweicloud.com/cases/20200311165250030.html

2. HUAWEI CLOUD AI facilitates the training and deployment of waterfowl protection models, making wetland waterfowl protection more convenient: https://www.huaweicloud.com/cases/tjdx.html

3. HUAWEI CLOUD big data solution builds a data analysis platform, the main force Douyu can easily cope with massive data analysis https://www.huaweicloud.com/cases/douyu0.html

What kind of work is easy to get high scores?

The aforementioned HUAWEI CLOUD EI products can improve the efficiency of the contestants' development of artificial intelligence and big data related works, and can help the contestants develop their works better and faster. But what kind of works are easy to get high scores?

From the perspective of scoring dimensions, the innovation, technical realization and delivery, commerciality, and division of labor of the team are all very important. The author believes that the presentation of the work is particularly important under the premise of ensuring that the work has a good degree of completion. First of all, roadshow materials need to present the content of each scoring item, and none of them are indispensable. Secondly, because it is an industry proposition track, the work needs to show the points of integration with HUAWEI CLOUD EI products, that is, what development work has been done based on HUAWEI CLOUD EI products, and what effects have been achieved. Finally, the work is innovative, and the algorithm or solution has industry advantages, and it is easier to get high scores from the judges.

Finally, I would like to remind you again of the schedule of this "Internet +" competition: the registration time ends on August 31, the preliminary round ends on September 30, and the national finals are expected to be held in mid-to-late October. Participants, if you are interested in the field of artificial intelligence or big data, hurry up and register for the competition. Click to enter the registration page "Internet +" contest HUAWEI CLOUD track EI proposition, get expert one-on-one guidance and more lottery benefits.

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