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Generative AI Use Cases and Benefits for Enterprises

Acuvate

Among the numerous technological advancements of our era, Generative AI stands a world ahead, like the true trailblazer that it is. Generative AI has the potential to reshape the workplace and the way businesses engage with customers. What is Generative AI and Why Enterprises Need to Care?

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What Salespeople Get Wrong About Using GenAI

Harvard Business Review

Discussion of generative AI has maintained a fever pitch since OpenAI released ChatGPT-3.5 in late 2022. However, driving adoption of generative AI as a new way of working — leading sellers toward creative use of generative AI, and helping them to use it as a coaching and learning aid — requires a very different approach.

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Conquer the Top 3 Innovation Challenges with ChatGPT

PlanBox Innovation

It almost sounds like an oxymoron, but with the help of generative AI systems like ChatGPT—OpenAI’s advanced AI language model that’s all the rage these days—you can take a lot of weight off your shoulders by streamlining your innovation processes, so you can have a bit more structure and creativity without the headaches.

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Unleashing the Power of AI in Innovation Management

Leapfrogging

AI technology aids in the analysis of large datasets to identify trends, predict outcomes, and make informed decisions at a speed and accuracy that is beyond human capability. Risk Assessment : By predicting potential hurdles, AI helps in identifying and mitigating risks early in the product development lifecycle.

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Want to Put AI to Work? Prime Your Organization With These 5 Shifts

Planview

How do you select the right path for your organization out of all the available paths while keeping AI use responsible and ethical? Pair these considerations with internal and external pressures to rapidly adopt generative AI and scale it, and leveraging AI is easier said than done.

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What the latest BCG report tells us about what leaders need to do to build innovation capability

Cris Beswick

However, innovation readiness has plummeted, with just 3% of companies scoring in the “ready zone” on BCG’s innovation maturity benchmark, down from 20% in 2022. Nvidia – Stayed true to a passion for accelerated computing while remaining flexible on the best path, leading to AI chip leadership.

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5 Reasons to Consider Migrating Your Data Estate to Microsoft Fabric

Acuvate

Specifically, recent advancements in Generative Pre-trained Transformer (GPT) and Large Language Models (LLMs) have led to an explosion in interest and adoption of AI. A recent global survey by McKinsey saw 79% of all respondents say they have exposure to generative AI in some capacity. Microsoft also led a $1.3

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