The course explains why you need more than Google to search the Internet and highlights a rich constellation of alternative search engine applications. The session also explains how to set up your own customized online research management platform, and discusses dynamic search strategies (two-step, vertical and lateral searching) that can be used to gain an extra edge when using any search engine. Participants will walk away with scores of new knowledge sources and streams that will complement their use of Google and improve their online research power. This event may be a rebroadcast of a live event and the instructor will be available to answer your questions during the event.
Learning Objectives
After attending this presentation you will be able to...
- Identify at least 7 ways Google information needs to be interpreted to ensure the results are taken in their proper context
- Use at least 4 general search engines that complement their use of Google
- Recognize at least 5 cluster search engines that group information by topic and discover unexpected relationships between topics
- Recall at least 4 privacy search engines that do not store your queries or track your steps on the Internet
- Access at least 12 user-generated content search engines that index content-text, videos, images, reviews-created by people, rather than brands
Major Topics
The major topics that will be covered in this course include:
- Introduction to AI R&D in Accounting: Why internal AI research is essential for modern firms.
- Theory to Practice: Moving quickly from speculative AI concepts to actionable strategies.
- Managing Exponential Change: Understanding the urgency of adapting to AI’s rapid evolution.
- Proactive AI Engagement: Conducting in-house AI benchmarks, research, and hackathons.
- The Dual Role in AI Development: Balancing innovation with data security and ethical responsibilities.
- Internal AI Tools Creation: Encouraging accountants to develop AI solutions tailored to their needs.
- Data Security and Cyber Threats: Addressing AI-enabled cybercrime and protecting against internal risks.
- Mitigating AI Misuse: Recognizing abuse patterns and implementing safe practices.
- Challenges in AI Integration: Handling resistance, management concerns, and rapid technological shifts.
- Continuous Learning and Adaptation: Building a resilient, R&D-focused AI culture in accounting.
