Re-imaging the World´s Economic Data Remember the "Kodak Moment?' It was a term in photography popularized by Kodak to capture important moments. Well, right now there is a Kodak Moment going on in healthcare information sciences. It is associated with the attribute-based data structures that are the basis for the revolution in genetic diagnostics, clinical risk management, and personalized medicine. It is also the foundation and source of the advances in Big Data and Artificial Intelligence in healthcare. In this session, you will learn about a new innovation in business information management called the Locus Model and a new type of business information system called the Functional Information System (FIS). These important innovations have the potential to impact all data management in business, finance, and economics by introducing a universal standard that can unify the disparate systems in disparate countries that we currently use to classify and organize business, finance, products or job information. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies.
Design Thinking for a Circular Economy Design Thinking for a Circular Economy The most critical and complex problem of our age is how to create a robust economy that is sustainable for all future generations. Design Thinking is a revolutionary and practical methodology, with principles and processes that help people approach complex problems and create collaborative, innovative, and human-centered solutions for Sustainability. The Circular Economy utilizes restorative and regenerative methodologies like 'cradle to cradle' and 'biomimicry' to reshape how we do business, while fostering robust equitable economies. In this dynamic presentation, we will explore how the Circular Economy depends on Design Thinking in order to re-think and re-make our systems and products with an understanding of our Value chains as Material flows. When we create an economy that is just for all, and that fits into our ecological system as opposed to ecology bending to our economy, then we can produce a future that is Sustainable for all. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policie
Re-imaging the World´s Economic Data Remember the "Kodak Moment?' It was a term in photography popularized by Kodak to capture important moments. Well, right now there is a Kodak Moment going on in healthcare information sciences. It is associated with the attribute-based data structures that are the basis for the revolution in genetic diagnostics, clinical risk management, and personalized medicine. It is also the foundation and source of the advances in Big Data and Artificial Intelligence in healthcare. In this session, you will learn about a new innovation in business information management called the Locus Model and a new type of business information system called the Functional Information System (FIS). These important innovations have the potential to impact all data management in business, finance, and economics by introducing a universal standard that can unify the disparate systems in disparate countries that we currently use to classify and organize business, finance, products or job information. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies.
Design Thinking for a Circular Economy Design Thinking for a Circular Economy The most critical and complex problem of our age is how to create a robust economy that is sustainable for all future generations. Design Thinking is a revolutionary and practical methodology, with principles and processes that help people approach complex problems and create collaborative, innovative, and human-centered solutions for Sustainability. The Circular Economy utilizes restorative and regenerative methodologies like 'cradle to cradle' and 'biomimicry' to reshape how we do business, while fostering robust equitable economies. In this dynamic presentation, we will explore how the Circular Economy depends on Design Thinking in order to re-think and re-make our systems and products with an understanding of our Value chains as Material flows. When we create an economy that is just for all, and that fits into our ecological system as opposed to ecology bending to our economy, then we can produce a future that is Sustainable for all. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policie
Bridging the Gap: Traditional to Agile Project Management Learn how a large cloud-computing enterprise used Flawless ExecutionSM, a remarkably scalable agile business framework, across diverse business teams including their Marketing Team, Legal Team, C-Suite and even the Sales Group functional teams that are notorious for avoiding agile methodologies. As part of a major merger, the company sought to unite two sales teams that were not strategically aligned and didn't have a customer-focused mindset. Just as agile methodologies help developers keep the customer at the forefront of the conversation, this sales organization used the agile techniques and practices of Flawless ExecutionSM, to align around the customer's needs, scale best practices, and shift the culture to a more customer-centric mindset. Result: after an abysmal first half in 2016, the team rallied together after implementing Flawless Execution as their process of record over the summer and beat their sales forecast by 17% in Q4. This had an impact on morale for the 22,000-person company and even increased the stock price by 10%. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies.
DevOps: The Next Evolution of Lean and Agile What is DevOps? Is it a new role? Self-service? More communication/empathy between Dev and Ops? Continuous integration/continuous deployment tools? Practices like traffic shaping and feature toggles? Culture change? Most of those answers are not wrong, but they fail to capture the heart of it. At its heart, DevOps is simply empowered development teams taking responsibility for how their product performs in production. If so, then this is not a new story. It's a continuation of the lean/agile trend which was the beginning of the end for quality assurance and business analysis as separate silos. This talk applies the lessons learned from leading lean/agile transformations to the current ongoing change toward DevOps. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies. Fractions of PDUs may also be reported. The smallest increment of a PDU that can be reported is 0.25. This means that if you spent 15 minutes participating in a qualifying PDU activity, you may report 0.25 PDU. If you spend 30 minutes in a qualifying PDU activity, you may report 0.50 PDU.
Just in Time Training for Frontline Supervisors and Managers: Making the Case One of my favorite quotes on this topic comes from Zig Ziglar: 'The only thing worse than training employees and losing them is not training them and keeping them.' The transition from employee to manager is one of the most challenging: new roles and responsibilities, new ways of looking at organizations, and new ways of relating to all others around them. Most new supervisors and managers will tell you later in their careers that they floundered, avoided conflict, weren't firm enough when they should have been, and came on too strong to compensate - in other words, trial and error. And yet, most organizations spend more on leadership training at the end of a person's career than investing in their early promotions. Does it really make good business sense to give less training to those who need it early while giving more to those who need it less, later in their careers? This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies. Fractions of PDUs may also be reported. The smallest increment of a PDU that can be reported is 0.25. This means that if you spent 15 minutes participating in a qualifying PDU activity, you may report 0.25 PDU. If you spend 30 minutes in a qualifying PDU activity, you may report 0.50 PDU.
AI in Project Management: The Next Generation of Project Decision Making Project managers need to make critical project decisions on a daily basis. They are confronted with increasing complexities, high ambiguity and the need to process an exponentially growing amount of data and information in order to make informed and good decisions. This leads to an increasing risk of project failure - meanwhile, the project management industry is already challenged with ongoing low project success rates, caused by often massive failures of projects. Project Data Analytics and Artificial Intelligence (AI) are expected to fill the gap by providing analytical and unbiased capabilities that go beyond human possibilities, towards a data-driven and fact-based decision-making approach. While there is little doubt that AI as a trending technology will disrupt the project management practice and augment today's project management capabilities, AI cannot be seen as just another new tool to make project management more effective. Rather, AI will act as a complement to human intelligence, requiring a collaborative approach and, accordingly, a significant change in project culture and peoples' mindset. Today's project decisions are usually driven by human intuition, experience, leadership, and often do not follow any rational logic. Project decision-makers will be required to abandon such an approach and shift to a data-driven, decision-making approach. This session will provide an overview of the expected changes from AI-driven project management, the resulting impact on project decision making and changes in project culture, and what actions can be taken by project professionals to match their beliefs and behaviours with the new project culture. Learning goals: Gain insights into how AI for project management will significantly change decision-making in projects Gain an understanding of how to transition to a new AI-powered project culture
About Course Data Science and Data Analytics with Python: A Comprehensive Course for Beginners Unlock the power of data and gain insights that drive informed decisions with this comprehensive course on data science and data analytics with Python. This course is designed for beginners of all skill levels, with no prior programming experience required. You will learn the essential skills to embark on your data-driven journey, including: Data manipulation with NumPy and Pandas Data visualization with Matplotlib and Seaborn Statistical analysis with Python Machine learning and artificial intelligence You will also gain hands-on experience with real-world data projects, allowing you to apply your newfound knowledge to solve real-world problems. By the end of this course, you will be able to: Understand the fundamentals of data science and data analytics Apply Python to manipulate, visualize, and analyze data Use Python to build machine learning and artificial intelligence models Solve real-world data problems This course is the perfect launchpad for your data science journey. Whether you are looking to pivot your career, enhance your skill set, or simply quench your curiosity, this course will give you the foundation you need to succeed. Enroll today and start exploring the fascinating world of data science together! What Will You Learn? Understand the fundamentals of data science and data analytics Apply Python to manipulate, visualize, and analyze data Use Python to build machine learning and artificial intelligence models Solve real-world data problems Course Content Introduction to Python Data Science Introduction to Python Data Science Environment Setup Data Cleaning Packages Working with the Numpy package Working with Pandas Data science package Data Visualization Packages Working with Matplotlib Data Science package (Part - 1) Working with Matplotlib Data Science (Part - 2) A course by Uditha Bandara Microsoft Most Valuable Professional (MVP) RequirementsBeginners level knowledge for working with Data .Programming knowledge not required. Audience Beginners with no prior programming experience Anyone interested in learning data science and data analytics Audience Beginners with no prior programming experience Anyone interested in learning data science and data analytics
About Course Engineering Calculus Made Simple (Derivatives) Learn the basics of derivatives in a clear and concise way, tailored for electrical engineering students. This course is designed to help you understand and apply the concept of derivatives to electrical problems, without requiring you to have a deep understanding of calculus theory. In this course, you will learn: What derivatives are and how to calculate them How to use derivatives to solve real-world engineering problems Useful trigonometric identities How to approach derivatives using limits and theorems And more! By the end of this course, you will be able to: Calculate the derivatives of basic electrical functions Use derivatives to solve for voltage, current, and other electrical quantities Understand the relationship between derivatives and other calculus concepts, such as limits and integrals This course is perfect for electrical engineering students who want to learn the basics of derivatives without getting bogged down in complex calculus theory. Enroll today and start your journey towards becoming a more proficient electrical engineer! Benefits of learning derivatives for electrical engineering students: Derivatives are essential for understanding and solving many electrical engineering problems. For example, derivatives can be used to calculate the voltage and current in circuits, the torque of a motor, and the resonant frequency of a circuit. Derivatives can also be used to design new electrical components and systems. For example, derivatives can be used to design a filter that can remove noise from a signal or to design a control system that can keep a motor running at a constant speed. Having a good understanding of derivatives will make you a more competitive job applicant and will make you more successful in your career as an electrical engineer. Enroll today and start learning the basics of derivatives for electrical engineering! What Will You Learn? Students will learn mathematical derivatives as they apply to electrical functions Students will learn about limits. Students will learn useful Trig Identities. Students will learn the Squeeze Theorem. Course Content Engineering Calculus (Derivatives) Introduction Functions Limits The Derivative Trig Identities The Squeeze Theorem The Derivative of Sin(x) The Derivative of Cos(x) Other Derivatives A course by Graham Van Brunt P. Eng. Lead Instructor and Founder of PSPT RequirementsA basic knowledge of mathematics and trigonometry Audience Electrical Engineers Technologists Technicians Electrical Students Audience Electrical Engineers Technologists Technicians Electrical Students