First, landing and application?
Today, artificial intelligence is still the hottest topic in the industry. However, users' superstition about algorithms is not as strong as when they first met artificial intelligence. Many times, users prefer to let the algorithm verify its feasibility, or simply determine whether the algorithm is available in the form of cooperative experiments with algorithm manufacturers. Various manufacturers and algorithm companies also found in project practice that it is not enough to rely solely on artificial intelligence, deep learning and big data. For example, Shi Yu proposed? Scene definition algorithm AI project? Pay more attention to the concept of algorithm landing and practical application. At the same time through a new round of algorithms, PK and? Thirteenth Five-Year Plan? The pattern of construction has been shuffled, and powerful and experienced manufacturers have gradually changed their exploration direction, constantly invested in the landing of algorithms, the pull-through of the overall scheme of intelligent energy analysis, the complete closed loop of user applications and the simplification of processes. ?
As a core technology, artificial intelligence algorithm still needs constant investment and exploration, which is an eternal truth. On the other hand, algorithm vendors no longer regard algorithm indicators as the most important competitiveness, but take multi-algorithm solutions and application ecological support as the most critical highlights. Services that may not be realized by a single algorithm can be easily realized through collaborative retrieval and comparison of different algorithms, and this overall scheme of combined application has become a new construction hotspot. ?
Second, the future: endless exploration?
In the future, on the one hand, with the high integration of algorithms and services, it is bound to form characteristic services and solutions with outstanding industry attributes in various industries, and the construction and development focus of face recognition will gradually adjust the business scenarios of various industries; On the other hand, with the continuous innovation and homogenization of the algorithm and the continuous optimization of GA/T 1400 standard (the safety industry standard of Chinese people and Chinese people), the algorithm is evolving to standardized components. Just as IP cameras have experienced in the past, all kinds of deep learning algorithms, including faces, will eventually become standard deliverables, and the multi-algorithm service framework platform for management algorithms is bound to become the new climax of the next wave of platform construction.