AI for Business
Unleash the transformative power of AI in your business, revolutionizing operations, driving efficiency, and propelling growth to unprecedented heights.
AI for Growth
Artificial Intelligence (AI) has moved into the mainstream, driven by advances in cloud computing, big data, open-source software, and improved algorithms. AI technologies are fundamentally altering how we work, live, and manage businesses.
We utilize a portfolio of services and tools bringing AI for Growth to advise business leaders, innovators, and investors to identify and deploy the power of AI to create customer value and competitive advantage.
Artificial Intelligence is the most important commercial opportunity of our lifetime and the potential it offers to your company, these services provides frameworks to help you build an effective AI implementation plan
AI Technologies: ML, DL, Generative AI
In the dynamic world of artificial intelligence, we encounter distinct approaches and techniques represented by AI, ML, DL, and Generative AI. AI serves as the broad, encompassing concept, while ML learns patterns from data, DL leverages deep neural networks for intricate pattern recognition, and Generative AI creates new content. Understanding the nuances among these concepts is vital for comprehending their functionalities and applications across various industries.
As technology continues to evolve, our exploration and advancement of AI, ML, DL, and Generative AI will undoubtedly shape the future of intelligent systems, driving unprecedented innovation in the realm of artificial intelligence. The possibilities are limitless, and the continuous pursuit of progress will unlock new frontiers in this ever-evolving field.
AI ROI and Business Cases
In order to thoroughly comprehend a prospective AI project, it is imperative to delineate its tangible and intangible components. By undertaking this comprehensive analysis, you can effectively evaluate the potential advantages in quantifiable terms.
Hard
Returns
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Time Savings
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Cost Savings
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Productivity Increases
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Revenue Increases
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Resources
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Licences
Investments
Soft
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Better Experience
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Skill Retention
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Agility
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Data
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Compute & Storage
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Subject Matter Experts
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Data Science Training
AI Business Case Framework
Every enterprise is wondering: “How should we use AI?”
The canvas document will vet enterprise AI use cases. The canvas helps surface the key questions and feasibility challenges associated with building and deploying machine learning models in the enterprise.
Business Function Evaluation Focus Areas
Customer Experience Management with AI
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Customer Experience DNA (CxDNA) framework to identify use cases for AI across the customer journey.
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How AI is being used to create demand, enable sales, and drive customer service.
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Analyze customer segments, conversion rate optimization, and customer churn.
Operations Management with AI
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AI can be used to optimize your assets as well as operating processes to increase agility, reduce operating costs, enhance quality, and improve safety.
Business Support Functions with AI
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AI is being used to transform key business support functions: human resource management, financial management, IT systems management, and risk management.
Marketing with Generative AI
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Inaction Is Not an Option. Three of the many areas marketing executives are exploring are personalization, content creation, and market segmentation:
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Personalization. Using GenAI to analyze customer data and offer personalized advice, recommendations or services. The goals and benefits of these efforts range from better engagement to improved conversion rates to increased customer loyalty.
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Content Creation. GenAI helps marketing organizations create content faster, with higher quality and greater variety. Content creators can use these tools to create drafts, explore ideas, seek unusual combinations, and find other ways to inspire their teams’ creativity, rather than replacing or constraining it.
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Market Segmentation. GenAI can enable marketing executives to target customers more precisely. Better segmentation can improve resource allocation and ROI. GenAI can also enhance consumer and product strategy by changing how—and how fast—companies can conduct reliable market and consumer research and then use the resulting insights to improve their products and services.
The speed at which companies derive benefits from GenAI tools can quickly create haves and have- nots in an industry. Companies that successfully implement GenAI will free up resources that they can use to acquire, serve, and retain customers more nimbly and effectively. This means that inaction is not an option. Success requires coordination and foresight.
AI Capability and Readiness Assessments
AI Capability Maturity Model
The Maturity model is simply a framework that helps organizations assess their AI capabilities and adopt a road map for their AI capabilities by focusing on the development of AI capabilities within the organization across four major areas: Technology, data, people, and algorithms.
AI Generative Assessment
The generative AI lifecycle is a framework that guides you through the stages of developing, deploying, and maintaining a generative AI application. It helps you to define your goals, measure your performance, identify your challenges, and implement your solutions. It also helps you to align your application with the ethical and legal standards of your domain and your stakeholders. By following the generative AI lifecycle, you can ensure that your application is always delivering value and satisfying your users.
AI Radar
The AI Radar is a way to visualize the landscape of AI initiatives across the enterprise and prioritize the highest potential opportunities. Focusing on areas based on the total level of complexity and intensity for an organization.
