Artificial Intelligence & Business Intelligence in Management by Ojas
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What is AI?What is BI? How its helpful in Human resource & Management & Impact & Models of Business Intelligence
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Artificial Intelligence & Business Intelligence in Management by Ojas
- 3. Artificial Intelligence in everyday products…
- 5. Artificial Intelligence…..defined as…. Artificial intelligence is the intelligence of machines and the branch of computer sciences which aims to create it. It aims to improve machine behavior in tackling complex tasks. Artificial machines perform tasks efficiently and reliably.
- 6. 3 levelsof Artificial Intelligence Artificial Narrow Intelligence Artificial General Intelligence Artificial Super Intelligence Specialized one area. in Specialized all area. in Smarter in every than humans way.
- 7. Applications of Artificial Intelligence today Artificial neural systems Handwriting recognition Journalism Online retail stores Banking and finance Health care Manufacturing
- 9. Business intelligence is defined as….. “Refers to a variety of software applications that analyze an organizations raw data and help extract relevant and useful insights” -ProQuest LLC, “Skills, technologies, applications and practices used to help a business acquire a better understanding of its commercial context. BI technologies provide historical, current, and predictive views of business operations” - Wikipedia
- 10. Business intelligence Consists of many related activities that include statistics, text and data mining, analytical processing, querying, predictive analysis and forecast reporting Statistics, Analysis & Querying Data Integration & Dashboards Reporting & Informed Decision Text & Data Mining
- 11. How Artificial intelligence can help HR 1.Analysing HR success. 2.Sick days and holidays. 3.Enhanced compensation. 4.Workforce optimization.
- 12. Business intelligence Benefits 1.Sales Optimization 2.Cost Reduction, Planning and Budgeting 3.Inventory Optimization 4.Purchase Optimization 5.HR Optimization 6.Production / Manufacturing Optimization 7.Demand Forecasting 8.Market Competitive Analysis and Customer Relationship Optimization 9.Supply Chain (Sales and Distribution) Optimization 10.Most Important is ART Information to support all levels of Decision Making Aim is to replace/reduce Excel based Analysis
- 15. 5 Reasons why AI requires BI 1. Big Data Overload! 2. Shortage of Experts 3. Real-Time Insights 4. Dashboards Aren’t Enough 5. Money Needs to be Spent Wisely!
- 16. Sources To make this presentation, I consulted manysources. Amongthese, the most relevant Sam Wouters, DemystifyingArtificial Intelligence• • • Luke Masuch, Deep Learning - The Past, Present and Future of Artificial Intelligence Nathan Pacer, Venture Scanner - AI Report Q1 2017 • vmunshi@erp-india.com
Notas do Editor
- The ability to perform a task that is normally performed by natural intelligence, particularly human natural intelligence
- Business intelligence is the use of computing technologies for the identification discovery and analysis of business data like sales revenue, products ,costs and incomes.
- Backend BI Tools: Used for collection, integration and consolidation of data from various sources. Intermediate BI Tools: Allows users to create forecasts and identify trends (data mining) from the data. Frontend BI Tools: Provides users with a interactive and intuitive interface to view the information generated.
- BIG DATA: Growing data volume,variety at unprecedented speed.AI is require to transform data into easy . Shortage of Experts:Accord to mckinsey there is shortage of 1.5 million analyst who can make decision. 3.Allows real-time data analysis for strategic decision making. 4.Dashboard:Data analyst can only make one dashboard at a time but what will happen when data is from multiple source.