Before You Take BA 7060:You're taking a business technology class and you don't understand what's going on.After You Take BA 7060:Now that you have completed BA 7060: Understanding Current and Emerging Trends in Business Technology, you are ready to face the challenge of digital transformation head-on.
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This is the syllabus for BA 7060: Understanding Emerging Technologies. It contains the assignments, lectures, and reading materials.
To build a successful technology adoption strategy, CIOs and IT leaders need to understand the value and risks of emerging technologies based on their peers’ perceptions.
Business Emerging Technologies requires skilled and talented individuals.50% of recruiters: The #1 challenge is finding technical talent64% of IT executives: Tech talent shortages hinder adoption of emerging technologiesAI/Machine Learning are the most sought after technical skills
Businesses are always on the lookout for ways to stay ahead of their competition, and emerging technology trends can provide a competitive edge. As technology continues to evolve, businesses will continue exploring new opportunities with these emerging technologies.
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"With over 100 innovation hubs around the world, these hubs can work with you to innovate at speed, scope and scale."
Business leaders everywhere are excited about the future and the possibilities of emerging technologies. They recognize that these advancements provide a wealth of opportunities to optimize processes, improve customer service, save costs and drive innovation.
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They don’t want dashboards – they’re just a way to make better decisions and better outcomes – the goal is not more dashboards and more AI, it’s how do we get the insights into the hands of the right people at the right time.
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Learn how to plan and implement a data strategy that ensures your business goals and decisions are data-driven.
Generative AI systems are designed to autonomously create and produce new pieces of information using data, algorithms, and various techniques such as natural language processing (NLP) and machine learning (ML).
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Machine learning (ML) is an advanced form of Artificial Intelligence (AI) that uses data to create models and make predictions. It has the ability to automate complex tasks such as facial recognition and natural language processing, providing businesses and individuals with powerful tools for decision-making. Remember! Machine learning is just a "thing labeler".
AI algorithms use a wide range of techniques such as machine learning, natural language processing, and deep learning to interpret the data, identify patterns, and make predictions.
Artificial Intelligence (AI) is a powerful technology which combines mathematics, computer science, and information engineering to enable machines and systems to perform cognitive tasks such as analyzing data, problem-solving, and decision-making.
With its potential for near-instantaneous computation and processing power, quantum computing could revolutionize the way we interact with data and could have a major impact on virtually every industry.
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It is important to note that this technology is still in its infancy and there are many more problems that can be solved with a quantum computer. As the technology develops, it is likely that more complex problems will be able to be solved with greater efficiency and accuracy than ever before.
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Superposition; Entanglement; Supremacy; Algorithms; Gates
Give "The Qubit Game" a try and see how fast you can build your own quantum computer.
Writing your first program in Python is an exciting step toward exploring programming languages.
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Data structures are an essential part of any programming language and are necessary for being able to efficiently store, process, analyze, and report data.
Focus on understand loops, functions, classes, and conditionals
With Python, students can quickly read, save, load, and analyze data to gain insight into the performance of their business.
Jason Mills
February 6, 2024 9:10 PM
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