Economic impact of AI

According to McKinsey, generative AI has the potential to contribute trillions of dollars to the global economy. About 75 percent of the value that generative AI use cases could deliver falls across four areas: Customer operations, marketing and sales, software engineering, and R&D.

added annually to the global economy from AI’s impact on productivity.

of that value falls across: customer operations, marketing and sales, software engineering, and R&D.

of Skuid's core competencies fall in generative AI's primary use cases.

The value of AI + Skuid

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The value of AI

We believe in the transformative power of technology, particularly in the realm of generative AI, which can unlock untapped potential and efficiencies.

This powerful tool can automate complex tasks, predict outcomes based on data inputs, and create original, insightful content. The aim is not just to streamline operations but to offer unparalleled value and growth with your customers.

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Avoid POC purgatory

In today's rapidly evolving business landscape, avoiding getting stuck in the planning stages is crucial. While careful deliberation and strategic foresight are important, excessive analysis and prolonged decision-making can hinder progress and prevent companies from capitalizing on emerging opportunities.

Organizations should embrace a more agile mindset, focusing on taking action and iterating as they go. By embracing a bias towards action and learning from real-world implementation, companies can adapt quickly, address challenges, and seize the advantages of generative AI technologies.

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User experience is in Skuid’s DNA

Rapidly prototype and deliver AI solutions from top to bottom with the AI your business requires. Data connectors in Skuid NLX support common approaches like SQL, REST, and OData, making human-centered AI business apps attainable and fast. Our low-code SaaS platform, enhanced with generative AI capabilities, can act as a dynamic growth accelerator.

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Idea to impact in days

One effective approach is to adopt a "lighthouse approach," where a select project or department serves as a beacon to demonstrate the potential of generative AI within the organization.

By implementing generative AI in a focused and visible manner, companies can effectively communicate the value and impact of this technology to stakeholders.

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