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Implementing AI In Business: Stakeholder Strategies For The Modern Data-Driven, Automated Enterprise (TTAI2101)
Strategic Approaches to AI Implementation Success
Gain strategic insights and elevate your business with AI innovation!
Implementing AI In Business: Stakeholder Strategies For The Modern Data Driven, Automated Enterprise (TTAI2101) is a 01-day course allowing you to immerse in the ever-evolving realm of AI to furnish stak
Implementing AI In Business: Stakeholder Strategies For The Modern Dat
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Implementing AI In Business: Stakeholder Strategies For The Modern Data-Driven, Automated Enterprise (TTAI2101)
TTAI2101 goes beyond the fundamentals and course concepts, empowering you to make well-informed decisions across diverse AI applications. In this course, you will cover essential aspects of the AI implementation techniques, such as the significance of the collection and storing of data and unraveling the interdependence of workshops that are thoughtfully designed. Hand-on course experience will help you develop the ability to assess cloud-based versus on-premise solutions, comprehending crucial factors in forming effective data science. The course concepts will let you familiarize yourself with essential AI frameworks and tools.
Through captivating lectures and demonstrations, our experts ensure that you gain a well-rounded grasp of AIs practical application and its future potential. If you are seeking to enhance the existing system capabilities, then you must opt for the course as it ensures actionable insights required for a meaningful transformation at the organization. You will learn to explore the relevant impact of AI technologies in modern business while working under AI ethics and regulation. The course concepts will guide you toward the identification of the data types.
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Objectives
Within our guided settings, you will gain the following course objectives:
• Gain insights into data science and machine learning methods
• Enhance Key Performance Indicators (KPIs) for AI
• Efficient AI Project Lifecycle management
• Gain knowledge to facilitate effective AI project guidance, ensuring smooth and iterative improvement
• Empower to effectively lead AI initiatives
• Acquire skills to proficiently manage the successful deployment
• Grasp considerations involved in selecting data science and AI-driven systems
• Optimal decision-making for cloud-based solution
• Contribute to the enhancement of business operations
• Maintain a competitive edge within the organization
• Attain a thorough comprehension of AI
• Learn to choose the right AI model for catering to the needs
• Gain insights into the convergence of big data
• Recognize the critical role of data in AI
• Develop strategies to safeguard AI systems
• Explore prevalent tools and technologies facilitating informed decision-making
• Discerning their role in achieving business objectives
• Cultivate a deep understanding of AI and data security practices to develop strategies and safeguard AI systems effectively
• Strategic awareness of upcoming trends in AI
• Plan and manage AI projects
Audience
TTAI2101 is an introductory-level course designed for individuals catering to a diverse range of business stakeholders within their organizations. The target audience of the course includes-
• C-suite executives
• Product Managers
• Business unit leaders
• Innovation strategists
• IT professionals working as IT managers, project managers, data analysts, and managers who want to collaborate with data science teams.
• Individuals are looking forward to efficient communication across their departments at the organization.
Course Outline
Module 1. Introduction to AI in Business
• Explore the relevance and potential impact of AI technologies in modern businesses.
• What is AI and Why Does It Matter
• The ROI of AI Adoption
• Case Studies: AI Transformations
• AI Ethics and Regulation
• AI's Role in Different Business Units
• Real-World AI Transformations: A quick overview of businesses successfully adopting AI
Module 2. Data: The Bedrock of AI
• Identify the types of data most pertinent to AI applications in business.
• Types of Data: Structured vs Unstructured
• Importance of Data Collection
• Data Storage Solutions
• Data Security and Compliance
• Data Integration Strategies
• Database Choices: Evaluating databases suited for AI applications
Module 3. Big Data, Data Science, and AI – The Power Trio
• Explore how Big Data, Data Science, and AI synergize for business advantage.
• The Big Data Ecosystem
• Data Science Methodologies
• Machine Learning vs Deep Learning
• Business Cases for Data Science and AI
• Tools for Analytics and Data Processing
Module 4. Cloud-Based vs. On-Premise Solutions
• Make informed decisions on cloud-based vs. on-premise AI solutions.
• Factors for Choosing a Platform
• Cloud-Based Pros and Cons
• On-Premise Pros and Cons
• Cost Implications
• Security Considerations
• Cloud and On-Premise Comparison: Brief on performance, costs, and scalability
Module 5. Selecting Tools and Technologies
• Explore various tools and technologies to facilitate AI adoption.
• Popular AI Frameworks
• Visualization Tools
• Data Cleaning and Preprocessing Tools
• Analytical Platforms
• APIs and Libraries
• Tool Showcase: Quick tour through a suite of cutting-edge AI tools
Module 6. Building Your Data Science and AI Teams
• Explore the key skills and roles to consider when forming a data science/AI team.
• Core Team Roles
• Required Skill Sets
• Training vs Hiring
• Collaboration Tools
• Team KPIs and Performance Metrics
• Virtual Team Management: Leveraging tech for remote collaboration
Module 7. Generative AI: A New Paradigm for Business
• Understand how Generative AI can redefine content creation, design, and decision-making in business.
• What is Generative AI?
• Applications in Marketing and Design
• Generative AI in Product Development
• Ethical and Legal Concerns
• Generative AI in Business Strategy
• Auto-Generated Content: See how Generative AI can automatically produce marketing copy and design elements
Module 8. Emerging Trends in Data & AI for Business
• Stay ahead of the curve by understanding upcoming trends that will shape the future of AI in business.
• Federated Learning and Edge AI
• AI for Sustainability and Social Good
• AI in Cybersecurity
• Reinforcement Learning in Business
• Explainable AI (XAI)
• Explore the impact of new trends on different business sectors
Module 9. Next Steps and Action Plan
• Develop a roadmap to start or advance AI implementation in your organization.
• Setting Short-term and Long-term Goals
• Budget and Resource Allocation
• Scaling AI Projects
• Ongoing Training and Skills Update
Choose Your Preferred Mode
Online Training
- Instructor led Online Training
- Experienced Subject Matter Experts
- Approved and Quality Ensured training Material
- 24*7 leaner assistance and support
Corporate Training
- Customized Training Across Various Domains
- Instructor Led Skill Development Program
- Ensure Maximum ROI for Corporates
- 24*7 Learner Assistance and Support
FAQ’s
What is the course duration?
Implementing AI In Business: Stakeholder Strategies For The Modern Data Driven, Automated Enterprise (TTAI2101) is a 01-day course.
What is the course code to access Implementing AI In Business?
The course code through which it can be accessed is TTAI2101.
Why should I enroll in this course by Vinsys?
Implementing AI In Business: Stakeholder Strategies For The Modern Data Driven, Automated Enterprise with Vinsys is an expert-led course. Our experts have more than ten years of experience in the field, further ensuring that the lectures are meaningful. The expert's assistance will help you enhance your learning through the hands-on lab sessions to acquire skills in AI Transformations, AI Ethics, AI applications, and more.
Can a beginner enroll in this course?
Absolutely! Whether you are new to the field of AI in Business or have basic business operations experience, this introductory-level course provides a solid foundation that offers valuable insights. Professionals have the upper hand in the course because they have experience in the world of AI Business.
Who should do this course?
Designed with experts, the course can unlock the potential of AI potential for C-suite executives, project managers, architects, IT leaders, business analysts, and individuals engaged in decision-making processes and enabling efficient communication across different departments.
How is the course program carried out at Vinsys?
We boost your odds of success by helping you prepare for required exams and earn the certification. Effective course material accessed throughout the program makes learning about concepts beyond the class easier. Our courses are delivered through instructor-led training (ILT), private group training, and virtual instructor-led training (vLIT). You can choose your learning path to upskill with Vinsys' subject matter experts upon customizing training needs to ensure 100% results.
How will this course help the learners?
Through the course, learners will be able to dive deep into the AI principles and their comprehensive understanding to integrate its power into the organization. The learners will be able to build a capable AI team, make informed decisions on cloud-based vs. on-premise AI solutions, secure their AI systems, and drive the adoption of AI in the organization.
Can learners interact with the instructors?
Yes, learners will have an opportunity to interact with the instructors till the time their confusion and queries are resolved. You can enjoy 24*7 support from Vinsys even after the course completion.
What are the job opportunities after AI?
There are a variety of options to choose from, including Data Scientists, Prompt Engineer, Machine Learning Engineer, Business Intelligence Developer, and more.
What industries are most impacted by Generative AI?
Banking, Life Sciences, and High-Tech industries are among those that are most affected by the percentage of revenues from Generative AI.
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