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Getting infrastructure right for generative AI

CIO

For generative AI, a stubborn fact is that it consumes very large quantities of compute cycles, data storage, network bandwidth, electrical power, and air conditioning. Infrastructure-intensive or not, generative AI is on the march. of the overall AI server market in 2022 to 36% in 2027. It’s multimodal, but tiny.

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Embrace the Generative AI revolution: a guide to integrating Generative AI into your operations

CIO

Generative AI (GenAI) is not just the topic of the hour – it may well be the topic of the decade and beyond. Until a year ago, when people suggested that AI was already mainstream and asked what the next big thing would be, I replied that we had not reached the end state of AI yet.

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Healthcare organizations must create a strong data foundation to fully benefit from generative AI

CIO

Since the introduction of ChatGPT, the healthcare industry has been fascinated by the potential of AI models to generate new content. While the average person might be awed by how AI can create new images or re-imagine voices, healthcare is focused on how large language models can be used in their organizations.

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Typeface emerges from stealth with $65M to bring generative AI to the enterprise

TechCrunch

Typeface , a startup developing an AI-powered dashboard for drafting marketing copy and images, emerged from stealth this week with $65 million in venture equity backing from Lightspeed Venture Partners, GV (Google Ventures), M12 (Microsoft’s Venture Fund) and Menlo Ventures.

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LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase

Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. Putting the right LLMOps process in place today will pay dividends tomorrow, enabling you to leverage the part of AI that constitutes your IP – your data – to build a defensible AI strategy for the future.

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CIO Digital Enterprise Forum 2023: How CIOs can strategically and ethically use generative AI

CIO

Understanding the organization’s target audience and defining ethical principles that reflect their needs is crucial when applying generative AI. Organizations need to plan for generalized standards for reporting on the users they’re serving through AI-driven experiences and what the impact is.

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4 ways to enable explainability in generative AI

CIO

Now, ironically, the art world is being disrupted by emerging technology–specifically generative AI tools such as OpenAI’s ChatGPT, Google’s Bard, and Meta’s LLaMa. Art, business, and generative AI Art has existed since the dawn of humankind, giving us a window into history and stories waiting to be revealed.