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Implementing AI In Business: Stakeholder Strategies For The Modern Data-Driven, Automated Enterprise (TTAI2101)
Explore the dynamic world of AI with our one-day Implementing AI In Business: Stakeholder Strategies for the Modern Data-Driven, Automated Enterprise (TTAI2101) course. This expert-led training will provide knowledge of using artificial intelligence to align stakeholders, types of data, the power
TTAI2101 Certification
Understand the advantages of AI in making data-driven decisions.
Improve your leadership skills by developing work accuracy.
Unlock work opportunities in the AI field.
Course Overview
Stakeholders are the backbone of a successful organisation, and utilising them effectively is essential. Gone are the days when stakeholder strategies were developed without deep data analysis. With the advent of AI, creating stakeholder strategies has become easy, fast, and accurate. Our TTAI2101 course is dedicated to using artificial intelligence to create successful stakeholder strategies. This one-day program will enable you to identify and collect data to identify and prioritise stakeholders.
We help you use this technology to maintain healthy communication and transparency with your customers, investors, and workforce. You will learn to integrate Big Data, Data Science, and AI to gain deep insight into complex data, identify trends, and optimise operations.
This program aims to use AI technology for customer engagement, building happy relationships, addressing concerns in real-time, and satisfying ethical expectations. It is a comprehensive program that covers case studies to help you understand how AI models assist in monitoring stakeholder satisfaction. The modules encompass cloud-based and on-premise AI solutions, with knowledge of popular AI frameworks, generative AI, and other emerging trends.
You also obtain a certification after completing the course.
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Course Objectives
After completing this TTAI2101 course, you will
- Learn the power of artificial intelligence in creating effective stakeholder strategies.
- Explore the emerging and popular AI tools to encourage organisations to adopt AI.
- Examine data science and AI team building to tailor communication to each stakeholder’s needs.
- Evaluate the collaboration of Big Data, Data Science, and AI for data processing and analysis.
- Analyse the advantages and disadvantages of cloud-based and on-premise AI solutions.
- Learn about structure and unstructured data to help analyse, which is beneficial for building stakeholder strategies.
- Develop data integration strategies in an AI environment to improve your decision-making skills.
- Understand AI ethics, regulation, and the role of AI in different business units.
- Explore the upcoming changes in AI technology to leverage it for developers, resulting in stronger, happier relationships with the workforce, investors, and customers.
- Understand how AI systems minimise errors and achieve higher accuracy.
Audience
- TTAI2101 is an introductory-level course is well suitable for:
- Product managers
- Business executives
- C-suite executives
- Innovation strategists
- IT professionals working as IT/project managers and data analysts and working closely with data science teams.
Eligibility Criteria
Since it is an introductory-level course, it serves professionals from diverse industries and experts who deal with diverse business stakeholders within their organizations. No formal educational or work experience is required to get admission to this program.
We encourage you to reach out to us to learn more about eligibility.
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
About The Certification
Upon completing the course, you will receive the Implementing AI In Business: Stakeholder Strategies for The Modern Data-Driven, Automated Enterprise (TTAI2101) certificate. This prestigious certification will demonstrate your skills in leveraging AI to build effective stakeholder strategies.
Choose Your Preferred Mode
Online Training
- Providing updated and demanding courses to enhance credibility and skills.
- Delivering training via ILT (Instructor-Led Training), Virtual ILT (vILT), or private group learning.
- Helping you navigate courses by vendor and domain.
- Post training support on your request.
Corporate Training
- Comprehensive training solution to renewed engagement and credibility.
- Custom courses to improve role-specific competencies.
- Offering convenient and affordable learning plans to meet skills gaps.
- Continuous monitoring of performance during training and maintain transparency.
FAQ’s
Why should I consider Vinsys for AI programs?
We are a leading provider of IT courses. We have introduced various AI programs to cater for the needs of IT and non-IT individuals. These programs are well-informed and focused. You will get expert guidance and a certification to boost your professional trajectory.
What is the length of this course?
It is a one-day course. Duration might change based on your preferences. Please contact us for more detail.
Is this program open for beginners?
Absolutely! This introductory course will introduce you to AI technology models, advantages, and frameworks.
What are the ways I can enrol in this course?
We invite you to attend this program through:
- Individual learning
- Private learning
- Corporate training
- Self- paced
- Contact us to choose a suitable training mode.
What is the strength of the class?
At Vinsys, we believe in providing quality education to all our learners. We ensure our class sizes are manageable, allowing us to give individualised attention.
Is this course open to corporations?
Yes, we deliver training to corporations and have special training packages for them. Contact us to learn about the facilities we offer to industries.
Why Vinsys
Seasoned Instructors
Official Vendor Partnerships
Authorized Courseware
3,000+ Courses & 2,000+ Modules
In Synch with Tech-advancements
Customizable Blended Learning Options
Reviews
After attending this one-day course, I understand the power of AI in tailoring communication and making well-informed decisions. Thank you, Vinsys, for suggesting this program.
Ashutosh KumarProduct Manager
Customer satisfaction is always on our priority list. Evaluating feedback manually used to be complicated. Now, it is easy, all because of AI. This program has discussed each module with presentations and examples, allowing us to use AI comprehensively.
Jai JasaniBusiness Executive
This course has introduced us to data analysis, sentiment analysis, and predictive modelling AI models, essential in building effective stakeholder strategies. Thank you, Vinsys!
Ajay PanchalC-suite Executive
This customised program has helped me to improve my relations with investors. The AI solution for real-time data analysis is constructive.
Kingslee D'souzaInnovation Strategist
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