Remove 2024 Remove Data Pipeline Remove DataOps
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Supercharge your data strategy: Integrate and innovate today leveraging data integration

IBM Journey to AI blog

Leaders feel the pressure to infuse their processes with artificial intelligence (AI) and are looking for ways to harness the insights in their data platforms to fuel this movement. Indeed, IDC has predicted that by the end of 2024, 65% of CIOs will face pressure to adopt digital tech , such as generative AI and deep analytics.

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AIOps vs. MLOps: Harnessing big data for “smarter” ITOPs

IBM Journey to AI blog

Wearable devices (such as fitness trackers, smart watches and smart rings) alone generated roughly 28 petabytes (28 billion megabytes) of data daily in 2020. And in 2024, global daily data generation surpassed 402 million terabytes (or 402 quintillion bytes). Massive, in fact.

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professionals

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The Shift from Models to Compound AI Systems

BAIR

We argue that compound AI systems will likely be the best way to maximize AI results in the future , and might be one of the most impactful trends in AI in 2024. Operation: LLMOps and DataOps. AI applications have always required careful monitoring of both model outputs and data pipelines to run reliably.

AI 145
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The Shift from Models to Compound AI Systems

BAIR

We argue that compound AI systems will likely be the best way to maximize AI results in the future , and might be one of the most impactful trends in AI in 2024. Operation: LLMOps and DataOps. AI applications have always required careful monitoring of both model outputs and data pipelines to run reliably.

AI 40