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3 Keys to Scaling AI

Dataiku

AI can change the way you do business, but the truth is that most companies are still at the very beginning of their AI journey. The value of AI will not come from a single project but from embedding AI into all processes across your business.

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3 Key Pillars to Safely Scaling AI Successfully: Breaking Down Pillar #3

Dataiku

In our previous posts of this series ( here and here ), we discussed the need to lay the AI and analytics foundation to create a governance framework. The objective is simple: Define roles and responsibilities over time to organize and orchestrate analytics and AI projects according to risk, value, and regulatory criteria.

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3 Key Pillars to Safely Scaling AI Successfully: Breaking Down Pillar #2

Dataiku

Not surprisingly, they see the longed-for land of milk and honey in AI — and rightly so. Every organization strives to become a disruptor, rather than be disrupted themselves. According to McKinsey , the estimated gains are significant.

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3 Key Pillars to Safely Scaling AI Successfully: Breaking Down Pillar #1

Dataiku

When we discuss AI scaling at Dataiku, we like to think of the opportunities that scaling affords our customers as well as the vehicles for ensuring those opportunities are realized. In short, we want to answer: ‘So if scaling can be impactful, how can we help to make it happen?’.

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What’s ahead for AI, VR, NFTs, and more?

O'Reilly on Data

The safest predictions are all around AI. We’ll see more “AI as a service” (AIaaS) products. This trend started with the gigantic language model GPT-3. It’s so large that it really can’t be run without Azure-scale computing facilities, so Microsoft has made it available as a service, accessed via a web API.

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Generative AI readiness is shockingly low – these 5 tips will boost it

CIO Business Intelligence

Generative AI is the biggest breakthrough technology in years, democratizing information creation for the masses. 2 Key challenges include a shortage of talent and skills (62%), unclear investment priorities (47%), and the lack of a strategy for responsible AI (42%), BCG found.

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ASUS unveils powerful, cost-effective AI servers based on modular design

CIO Business Intelligence

For successful AI deployments, IT leaders not only need the latest GPU/CPU silicon, they also need artificial intelligence (AI) servers that establish a foundation. ASUS’ collaboration with AI chip leader NVIDIA makes this all possible. ASUS’ collaboration with AI chip leader NVIDIA makes this all possible.