Infosys nia
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Infosys NIA is an AI platform that automates data management and complex processes for businesses. It uses machine learning, optical character recognition, and natural language processing to collect information, learn from it, and perform tasks like revenue forecasting, customer behavior analysis, and contract reviews. Some key features include data analytics, robotic process automation, and predictive and cognitive automation. Infosys NIA helps with organizational transformation, fast data processing, and creating a comprehensive knowledge hub. Real-world examples demonstrate how it has helped customers in industries like manufacturing and finance through challenges like equipment maintenance and fraud detection.
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Este currículo apresenta os dados pessoais e a formação acadêmica e profissional de Sombo Germano Sacafeno. Ele possui habilitações literárias no 11o ano, cursos de informática e recursos humanos, e experiência como professor de informática e ensino médio em escolas em Luanda entre 2010-2011. Ele fala português fluentemente e está quase concluindo o curso de contabilidade e gestão.
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みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
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みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
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- 1. Presented by: SERVINA BARDEKAR - 501605 JANE GABRIELLE ARVINDHAN - 501620
- 2. ➢ INFOSYS NIA is a machine learning and AI platform designed to help businesses simplify data management and automate complicated procedures. ➢ Previously known as Infosys Mana. ➢ Collects information related to individuals, work procedures, and frameworks and assembles them into an automated learning base. ➢ Additionally, Nia includes machine learning, optical character recognition (OCR) and natural language processing (NLP) capabilities. ➢ Nia can forecast revenues, identify requirement of potential products, understand customer behavior, provide deep understanding of contracts and identify lack of compliance or fraud. ➢ Infosys Nia is one of the Top 10 Artificial Intelligent software tools .
- 3. FEATURES ● Data Analytics ● Machine Learning Platform ● Knowledge Processing ● Robotic Process Automation ● Predictive Automation ● Cognitive Automation
- 4. Some other details…. Devices Supported ➔ Windows ➔ Mac ➔ Web-based Pricing Model ➔ Quote-based Customer Types ➔ Large Enterprises ➔ Medium Business Deployment ➔ Cloud Hosted Customers ➔ ITL USA (Transportation) ➔ Citi (US - Finance) ➔ Johnson Controls (US- Manufacturing ) Next Generation AI Solutions ➔ Nia Advanced ML ➔ Nia Contracts Analysis ➔ Nia Chatbot
- 5. BENEFITS ● Leverage AI ● Discover out-of-the-box solutions ● Organizational transformation ● Fast data processing ● Comprehensive knowledge hub
- 8. Chiller Efficiency Management Motivation: A large automobile manufacturer was dealing with unpredictable downtime and unwarranted replacement of spindles based on OEM guidance in one of their manufacturing shop floors. Solution:Infosys Nia ingested data from legacy machines, machines with proprietary protocols, and machines with modern controls through the Infosys Nia M2M gateway. Edge analytics monitored sensors and raised alerts when thresholds were exceeded. Trend analysis and frequency domain analysis were used to predict faults. Infosys Nia automated time consuming data science activities with a framework to run Exploratory analysis, feature extraction, build, test and deploy the machine learning models. Benefits: ● 30% reduction in effort to detect anomaly. ● Reduced downtime of the spindle machine by predicting the remaining useful life. ● Reduced cost of maintenance and production loss due to unwarranted replacement of the spindle.
- 9. Fraud Detection Management Motivation A major global financial company was looking to detect fraudulent transactions in real time. They were looking to block these transactions or notify the customers immediately, thereby avoiding the heavy cost of dealing with fraudulent transactions. Solution Historic data was ingested and a fully non-linear, supervised machine learning model was built and deployed. The model detected fraud in real time. Incoming transactions were assigned a probability based on the likelihood they were fraudulent. The model also provides details on which variables were significant in predicting fraud. The dataflow is automatically recorded for regulatory compliance. The model is especially designed to deal with highly imbalanced datasets that are typical of this domain. Benefits $50M+ annual cost savings Improved customer satisfaction with 10% lift in accuracy Update fraud models once a day instead of once a year Insight into reasons for fraud, with full audit trail
- 10. CASE STUDY
- 11. Barclays ATP Tour Finals 2015 In addition to the real time scores and statistics on the ATP website , Infosys-ATP Trends and Insights would instant analysis of tennis action . Hosted on Cloud, it can extract voluminous & variegated data rapidly from vast data lake. Providing insights instantaneously For ATP’s need , Infosys Nia required 2 nodes of 8 core CPU and 16GB RAM for hardware and minimal effort for data scientists. Nia enables analysts to : ❏ analyze historical data around player performance ❏ to predict player behaviour ❏ shot selection, and give probabilistic outcome of the match Anatomy of Analytics 1. Data Ingestion 2. Data analysis and insight generation 3. Insight Publishing
- 12. THANK YOU