Machine Learning, Deep Learning and AI
The Emerging Need for Better Analytics: Management performance is closely tied to the results of the decisions made by managers. Decisions depend on the effective and efficient use of the data and information that support decisions. Recent advances in analytics provide better insight into the information that managers and analysts rely on when making better decisions. The use of machine learning analytics by managers is best enabled when managers have access to methods, techniques, and tools easy to use, apply to a problem or issue, and make sense for the tasks at hand.
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FRANK KOWALKOWSKI
- Innoverto
About This Course
The Emerging Need for Better Analytics: Management performance is closely tied to the results of the decisions made by managers. Decisions depend on the effective and efficient use of the data and information that support decisions.
Recent advances in analytics provide better insight into the information that managers and analysts rely on when making better decisions. The use of machine learning analytics by managers is best enabled when managers have access to methods, techniques, and tools easy to use, apply to a problem or issue, and make sense for the tasks at hand.
Machine Learning Analytics are Available to Improve Decision Making? Improvements in artificial intelligence, neural nets, and machine learning now provide managers and analysts with this insight. Once the realm of data scientists, analytic tools are now available that enable tapping their potential. Additionally, new techniques are emerging that better provide insight to future direction.
Extending Analytics to Business Analysts: This course is for managers and professionals seeking to gain skills in accelerated and improved analytics for decision making. Easy to use analytics provide the organization with efficient and effective means of correcting and governing the flow of work that delivers the goods and services to customers.
Machine learning and Decision Making
There are a variety of analytics and analytic approaches available today, so what type of analytics do people really need? Managers and analysts at all levels require a good working knowledge of the core machine learning analytics available to them today. The convenience of value added analytics in tools provides a day to day capability for increased organization performance. Business intelligence can provide managers with dashboards and a running tally of performance data for known indicators. However, when an incident occurs or tracking indicators require further understanding needing a bit more insight to identify the issue and execute a corrective action. Machine learning suports that analysis.
Learning Objectives
- Describe the key machine learning analytics in use today.
- Explain how ‘easy to use’ analytics can help gain insight to problems
- Applying ML analytics to identify performance issues
- Identify when to use specific ML analytics for organization performance
- Know when to apply the ML analytics in operations
- Verify that the ML analytic is providing management insight
- Comparing the results of multiple ML analytic types
- Using analytics to predict what might happen next
Target Audience
Managers, Process Analysts, Business Analysts, Managers, Professionals, IT Specialists, IT and Business Architects.-
Managers, Process Analysts, Business Analysts, Managers, Professionals, IT Specialists, IT and Business Architects.
![](/Content/Uploads/2796instructorimg.jpg)
FRANK KOWALKOWSKI
-Frank Kowalkowski is President of Knowledge Consultants, Inc., a firm focusing on business performance, business analytics, data science, business architecture, big data, business intelligence, predictive analytics and statistical techniques. He has over 30 years of line management and consulting experience in a wide variety of industries He has been involved with many projects both as a user and purveyor of business analytics. He has worked projects in state and federal government (including national defense department, Coast Guard) dealing with back office operations, legislative compliance and regulatory compliance. His background includes a number of industries including manufacturing, distribution, supply chain, banking, insurance, financial institutions, health care, pharmaceuticals, oil and gas and chemicals. Frank is often a keynote speaker, panel moderator and member at international conferences as well as a conference chair, he has written numerous papers and spoken at conferences on a variety of business subjects. He conducts frequent seminars and workshops nationally and internationally on a variety of business management, analytics and information technology topics. He also develops algorithms for analytics tools particularly semantic algorithms as well as data analysis techniques. He is the author of a 1996 book on Enterprise Analysis. His most recent publications are a featured chapter in the business book “Digital Transformation: Using BPM You Already Own.” for publication in 2017. His chapter is titled “Improve, Automate, Digitize”, he also has a chapter in the business architecture book titled ‘Business and Dynamic Change’ June, 2015 and a chapter on semantic process analytics in the book Passports to Success in BPM published in 2014 all are available on Amazon.
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3000.00 د.إ
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Accreditation Innoverto
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Lectures 2
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Document Download
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Duration -
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Language English
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Updated 20-11-2023
Material Includes
- Videos
- Files For Development
- Documentation Files