Machine Learning, Deep Learning and AI – The Advantage of Advanced Analytics
Overview
Machine Learning, Deep Learning and AI – The Advantage of Advanced Analytics
What do you say when you are asked by management what these analytics are and can we use them? What if they ask about the field of AI and what it consists of? Should you implement one AI project or several? Should you focus on one type of AI or several? What happens if it is a large or ambitious project? Where do expert system and knowledge management fit in the AI framework?
Answering these and many more of these types of questions requires some basic knowledge and insight into the meaning, value, use and benefit of applying a technology like AI.
In reality, it’s all about decisions and the right data that feeds them. Any AI effort has an objective the AI is to achieve and inputs that help you predict the outcomes of several scenarios. So, this is also about planning, anticipation land correction with the intent of improving decision making.
Organizations apply AI types of solutions based on what they see or read in articles describing what other organizations are doing. That may or may not fit the specific needs of your organization. Improving decision making translates directly to improved organization performance. The increased use of analytic techniques, data bases and algorithmic techniques means that managers need understanding of the scope, value and effort relating to AI.
Understanding, organizing, integrating and delivering AI solutions to useful points in the organization is a key issue today. AI supports better, and more effective decision making leading to better performance.
Expected learning outcomes
Expected learning outcome:
- Explain the different uses of AI today
- Understand the techniques used for the different types of AI capability
- Define a roadmap to reach effective use of AI
- Explaining the technology available for AI
- Interpret how AI can help the business
- Select appropriate AI techniques for the business
- Understand the limits of AI
- Interpret social media data to understand market potential
- Suggest operational opportunities for AI
Who should attend
Who should attend
Managers and professionals should prepare for the coming changes. This course is key path to knowledge about AI for business managers, strategic planners, marketing analysts, data analysts and architects, planning managers, process analysts, business analysts, business architects, enterprise and IT architects.
Your trainer
Meet your expert course trainer: 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 dealing with back office operations, legislative compliance and regulatory compliance. He has worked on the federal level with the national defense department, Coast Guard for drug interdiction and other projects. His background includes a number of industries including manufacturing, distribution, supply chain, banking, insurance, financial institutions, health care, pharmaceuticals, oil and gas and chemicals.
More recently Frank has been involved in conducting workshops, professional training sessions and assessments of architecture, data science, governance, compliance, risk and process management efforts. He also develops algorithms for analytics tools particularly semantic algorithms as well as data analysis techniques.
He 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 nationally and internationally on a variety of business management, analytics and information technology topics. 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.
About KCI
Knowledge Consultants. Inc. (KCI)
Knowledge Consultants, Inc. is a professional services firm founded in 1984. KCI provides consulting and professional education services. With over 50 courses taught worldwide, KCI provides the opportunity to develop core strengths in the following certification areas:
- Process Management
- IT Management
- Business Performance Management
- Business Analysis
- Analytical Techniques for Business
- Business and IT Architecture
KCI has expanded its training and consulting efforts internationally into Europe, Southeast Asia and the Middle East. KCI has an outstanding list of current and past clients including many of the Fortune’s 100 companies.
Consulting focuses on the key areas of Business Performance Management, Process Management, Business and IT Architecture, Business Analysis, Using Analytic Techniques for Performance Improvement and IT Management.
Download Brochure and Articles
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