Business Intelligence Advancement Workshop Download And Install – Master Power BI and become a top 1% data scientist Learn Power BI and land a 6-7 job or your next promotion
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Yes! You will be trained by a working professional and corporate trainer, giving you great credibility in understanding real-time market and project scenarios.
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Hi, I’m Aditi Gupta, Ex. Senior data analyst at Capgemini and currently a certified data analytics and visualization trainer.
I help people improve their skills in data and business analytics, visualization using dashboards and reporting using Microsoft and Salesforce tools, for which the market demand is huge.
I completed my Masters in Business Analytics at Victoria University in Melbourne, Australia. My passion is training people in highly sought-after tools and technologies, improving individuals’ confidence and presentation skills.
People from over 13 countries, representing top global brands and students from IIMs have attended my data analytics, visualization and dashboard workshops and training, so trust me you won’t be disappointed.
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I tried to answer all the most frequently asked questions. For further queries, please WhatsApp us on +91 8290745609. My amazing support team will respond within 8 business hours. Create a Generative AI Roadmap Generative AI is here, and it’s time to find its best applications – systematically and responsibly.
Generative AI has made a huge impact, showcasing possibilities and disrupting organizations and industries. Moving beyond the hype, it is imperative to build and implement a strategic plan to adopt generative AI and stay ahead of the competition.
However, generative AI must be implemented properly because opportunities come with risks and investments must be tied to outcomes.
IT and business leaders will need to act strategically and consciously to succeed as AI adoption transforms industries and business operations.
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1. Build a Generative AI Roadmap – a step-by-step document that walks you through leveraging Generative AI and aligning with your organization’s mission and goals to increase revenue, reduce costs, accelerate innovation, and reduce risk.
This roadmap describes how to build a generative AI roadmap, establish responsible AI policies, prioritize opportunities, and develop usage policies. Establishing and adhering to the guiding principles of responsible AI ensures the adoption of generative applications of AI.
2. AI Maturity Assessment Tool and Roadmap – Develop products that will be milestones in creating your organization’s Generative AI roadmap for implementing potential applications.
3. The Age of Generative AI C-Suite Presentation – Develop Responsible AI guidelines, assess AI capabilities and readiness, and prioritize use cases based on complexity and alignment with organizational goals and guiding principles of Responsible AI.
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This presentation template uses sample business opportunities (use cases) from the Marketing and Advertising business opportunity map to provide candidate examples for generative AI applications. The final executive presentation should highlight the value-based initiatives driving applications of generative AI, their benefits and risks, how the proposed use cases of generative AI align with the organization’s strategy and goals, success criteria for proofs of concept, and the project roadmap.
After each Info-Tech experience, we ask our members to quantify the real-time savings, financial impact, and project improvements our research helped them achieve. See our top members’ experiences with this plan and what our customers say.
An extremely valuable session, honestly it’s hard to measure its value at the moment as we are in discovery mode, devising action plans and… Read more
An extremely valuable session. Honestly, it’s hard to measure its value at the moment because we are in discovery mode, developing action plans and workshops. Bill set us straight and answered “all” of our questions. Read less
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We are entering the era of generative artificial intelligence. This is a unique time in our history where the benefits of artificial intelligence are becoming readily available and becoming ubiquitous, and new pilots are emerging in the mainstream business tools we use today. Disruptive opportunities that have the potential to deliver dramatic benefits also introduce risks that must be planned for.
Organizations need to understand this disruptive technology and trends in order to properly develop a strategy to effectively leverage this technology.
Business stakeholders need to cut through the hype surrounding generative AI such as ChatGPT to optimize investments to leverage this technology to generate business outcomes.
Without the right strategy and guiding principles for responsible AI, the risks associated with implementing this technology can negatively impact business results.
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This plan will include a list of activities and deliverables required to successfully implement generative AI solutions.
Raise CEO and senior management awareness of the potential benefits and risks of business transformation with generative AI.
A field of computer science that focuses on building systems that imitate human behavior, with particular emphasis on developing artificial intelligence models that can learn and can independently take actions on behalf of humans.
The AI Maturity Model is a useful tool for assessing an organization’s skill level in developing and implementing AI applications. The AI maturity model has many dimensions to measure an organization’s capabilities, such as AI management, data, people, process, and technology.
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Refers to the guiding principles that govern the development, deployment, and maintenance of AI applications. Additionally, these principles also define human-based requirements that AI applications should meet. Requirements include safety and security, privacy, integrity and bias detection, explainability and transparency, governance and accountability.
When prompted, the generative AI system can generate new content, which can be in the form of text, images, audio, video, etc.
NLP is a subset of artificial intelligence that involves machine interpretation and replication of human language. NLP focuses on the study and analysis of linguistics, as well as other principles of artificial intelligence, in order to create an effective method of communication between humans and machines or computers.
A successful AI strategy is led by the organization’s business stakeholders and focuses on driving better business outcomes.
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This plan in context These guidelines cover how to create a tactical roadmap for implementing generative AI initiatives
Measure the value of this plan Use this plan’s approach to ensure your generative AI initiatives are aligned with and supporting key business drivers
This plan will guide you to drive and improve business results. Key business drivers will often focus on:
In Phase 1 of this plan, we’ll help you identify key strategic AI initiatives that align with your organization’s goals. Value to an organization is often measured by the estimated impact on revenues, costs, time to market, or risk reduction.
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In Phase 4, we will help you develop a plan and roadmap to address any gaps and introduce the right generative AI capabilities that bring value to your organization based on your defined business metrics.
Once you have implemented your 12-month action plan, start tracking the following metrics in the next financial year (FY) to assess the effectiveness of the measures:
“Our team has already prioritized this critical project and we have the time and capacity, but some guidance would be helpful.”
“Our team knows we need to fix the process, but we need help figuring out where to focus. Some checks along the way will help us stay on track.”
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“We need to step up and start this project right away. Our team will be able to take over this task once we have established the framework and strategy.”
“Our team does not have the time or expertise to tackle this project. We need help throughout the project.”
Guided Implementation (GI) is a series of phone calls with an Info-Tech analyst designed to help you implement our best practices in your organization.
Consumer groups, organizations and governments around the world are demanding that AI applications be consistent with human values and take into account the technology’s possible impact on society.
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Developing an action plan that incorporates human-based values is challenging. This process introduces new tools, processes and organizational changes.
Assess candidates’ generative AI-focused business opportunities to ensure they align with the organization’s business criteria, responsible AI guiding principles, and project feasibility.
Plan Deliverables Each step in this plan is accompanied by supporting deliverables that will help you achieve your goals:
Use our best-in-class AI maturity framework to analyze the gap between current and target and develop a value stream-aligned action plan to close the gap.
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Outline your AI roadmap in a pre-filled document that summarizes all the key takeaways from your roadmap and provides your leadership with a view of the AI challenge and an action plan to meet it.
Our AI Maturity Assessment and Roadmap tools and Generative AI Era Presentation tools for the C-Suite enable you to shape your Generative AI roadmap and communicate results to senior management sponsors on the value of your initiatives.
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