Market Assessment proposal for P2K (pattern to knowledge) deep knowledge discovery artificial intelligence (A.I.) software system

P2K(Pattern To Knowledge)深度知识发现人工智能(A.I.)开发了一个软件系统，用于根据模式发现人工智能黑匣子。根据国际数据公司(IDC)的数据，到2020年，全球大数据和商业分析(BDA)的收入将增长到2030亿美元以上。现有的大数据分析人工智能决策支持系统受到其可解释性的限制，这阻碍了它们的大规模采用。P2K发现/理清模式，提供理解和知识，并增强有理由的预测，而不仅仅是给出黑箱决策。滑铁卢大学(UW)的研究人员开发了新型软件P2K(Pattern To Knowledge)，以发现生物序列(DNA/RNA/蛋白质/抗体)和表格混合模式关系表(财务组合和患者治疗/药物记录)中固有的深层知识。我们所说的深度知识是指由于源环境中多个/纠缠的因素的微妙纠缠而没有在数据层面表现出来的模式和关系。其优点包括：1)减少实验/系统设置的时间/成本；2)提高知识发现的准确性；3)对错误标记或不平衡类等数据噪声具有健壮性；4)灵活地处理不同类型的数据：生物序列、时间序列和时间事件序列以及混合模式关系数据集。P2K在包括但不限于1)药物开发、2)基因组、转录组和蛋白质组数据分析、3)基因检测/诊断--个性化医学、4)环境检测、5)用于数据记录的其他部门中提供显著的益处。作为这项市场评估补助金的一部分，被选中的顾问将进行全面的市场分析，以确定最合适的市场机会，以及与在特定细分市场应用新技术相关的技术、营销和财务挑战。有利的市场评估结果将进一步指导第二代原型的开发，有助于制定商业化战略和吸引早期投资。*

P2K (Pattern to Knowledge) Deep Knowledge Discovery Artificial Intelligence (A.I.) Software System is developed to uncover the A.I. black box by patterns. According to International Data Corporation (IDC), worldwide revenues for big data and business analytics (BDA) will grow to more than $203 billion in 2020. Existing Big Data Analytic A.I. Decision Support Systems are limited by their interpretability, which blocks their massive adoption. P2K discovers/disentangles patterns rendering understanding and knowledge as well as enhancing prediction with reasons rather than just giving a black box decision. University of Waterloo (UW) researchers have developed novel software P2K (Pattern to Knowledge) to discover deep knowledge inherent in bio-sequences (DNA/RNA/Protein/Antibody) and tabulated mixed-mode relational tables (financial portfolio and patient therapeutic/drug records). By deep knowledge, we mean patterns and relations not manifested at the data level due to subtle entanglement of multiple/entangled factors in the source environment. The advantages include: 1) Time/Cost Reduction in experiment/system setup; 2) Higher accuracy in knowledge discovery; 3) Robust to data noises such as mislabeled or imbalanced classes; 4) Flexible in processing different types of data: bio-sequences, time-series and temporal event sequences and mixed-mode relational datasets. P2K offers significant benefits in a vast range of applications including but not limited to 1) Drug development; 2) Genomic, transcriptomic and proteomic data analysis; 3) Genetic testing/diagnostics - personalized medicine; 4) Environmental detection; 5) Other sectors that relational tables are used for data records. As part of this Market Assessment grant, the selected consultant will perform a thorough market analysis to identify the most suitable market opportunities along with technical, marketing and financial challenges associated with the application of the new technology in a particular market segment. A favorable market assessment result will further guide the development of the second-generation prototype and help formulate the commercialization strategy and attract early stage investments.****