Tech, Analytics, and AI Business Dynamics

Advantages of Cloud Computing

1.Reduced software costs. 2.Improved security. 3.Flexible capacity. 4.Lower equipment costs. 5.Easier access.

Disadvantages of Cloud Computing

1.Security breaches. 2.Stability. 3.Control of data.

Job Impact

: AI is automating jobs, so understanding its impact on the workforce is crucial.

Cloud Computing

A form of virtualization in which a company's data and applications are stored at offsite data centers accessed over the Internet.

Sustainability

AI can also be leveraged to address climate change and sustainability challenges through optimized resource management and predictive analytics.

Lifelong Learning

AI changes rapidly, so staying updated with trends and continuously learning is essential.

Privacy Concerns

AI often requires vast amounts of personal data, raising privacy issues.

Critical Thinking

AI requires strong problem-solving and the ability to identify potential weaknesses or risks in models.

Cloud Networking

Accessing networking resources from a centralized third-party provider using W A N; also called cloud-based networking.

AI in Transportation

Autonomous vehicles, traffic prediction.

Phases of Analytics

Descriptive What has happened Predictive What will happen Prescriptive What should happen

Immersive Internet

Includes virtual reality (V R), augmented reality, and 3D environments. V R technology is expected to increase dramatically in education. V R headsets and computers to run the software increase its cost.

Private/Public Clouds

Private clouds are wholly behind a firewall. Public clouds run on remote computers. Hybrid clouds consist of a private cloud for essential tasks, but use a public cloud as needed.

Business Analytics

Process of transforming data into actions through analysis Leveraging data to improve business decision making

Data Handling

Skills in collecting, cleaning, and analyzing data are fundamental.

Natural Language Processing

The field that focuses on the interaction between computers and human language.

Data Analytics

The process of collecting, organizing, storing, and analyzing large sets of data ("big data") in order to identify patterns and other information that is most useful to the business now and for making future decisions.

AI

The simulation of human intelligence in machines.

Data Management

collecting, organizing, and storing an organization's data so it can be analyzed for business decisions

Decision Modeling

modeling business systems to determine policies that maximize or minimize some objective and/or assess performance under uncertainty

Data Mining

process of finding actionable patterns and insight from massive quantities of data that businesses generate

The Internet of Things (I o T)

refers to technology that enables ordinary objects to be connected to the Internet. •Uses sensors, cameras, software, databases, and massive data centers.

Data mining

technique for looking for hidden patterns and unknown relationships in the data.

Automation and Augmentation

•: AI will transform many industries. Understanding how AI can enhance human work will be critical in adapting to future job markets.

Deep Learning

•A more complex subset of ML using neural networks with many layers to model patterns.

Machine Learning

•A subset of AI that involves training algorithms on data to improve over time.

AI in Healthcare

•AI helps in medical imaging, drug discovery, and personalized medicine.

AI in Business

•AI is used for data analysis, automation, customer service (chatbots), and more.

Bias in AI

•AI systems can perpetuate societal biases if not properly designed.

AI in Education

•Adaptive learning tools and personalized content delivery systems.

Fairness and Transparency

•As AI tools become more widespread, students should understand the need for fair and transparent AI practices.

Programming

•Knowledge of languages like Python is crucial for working with AI libraries such as TensorFlow, Keras, and PyTorch.

AI in Entertainment

•Recommendation algorithms (Netflix, Spotify), game AI.

Accountability

•Who is responsible when AI systems make mistakes?