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Comprehensive data management for AI: The next-gen data management engine that will drive AI to new heights

CIO Business Intelligence

As the next generation of AI training and fine-tuning workloads takes shape, limits to existing infrastructure will risk slowing innovation. At the same time, optimizing nonstorage resource usage, such as maximizing GPU usage, is critical for cost-effective AI operations, because underused resources can result in increased expenses.

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Practical Skills for The AI Product Manager

O'Reilly on Data

In our previous article, What You Need to Know About Product Management for AI , we discussed the need for an AI Product Manager. In this article, we shift our focus to the AI Product Manager’s skill set, as it is applied to day to day work in the design, development, and maintenance of AI products. The AI Product Pipeline.

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12 Cloud Computing Risks & Challenges Businesses Are Facing In These Days

datapine

These servers are busy storing, managing, and processing data that enables users to expand or upgrade their infrastructure and retrieve files on demand. a) Software as a Service ( SaaS ) – software is owned, delivered, and managed remotely by one or more providers. The capabilities and breadth of the cloud are enormous.

Risk 237
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What you need to know about product management for AI

O'Reilly on Data

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools.

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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. That’s where data-driven construction comes in. You won’t want to miss this webinar!

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7 types of tech debt that could cripple your business

CIO Business Intelligence

CIOs perennially deal with technical debts risks, costs, and complexities. While the impacts of legacy systems can be quantified, technical debt is also often embedded in subtler ways across the IT ecosystem, making it hard to account for the full list of issues and risks.

Risk 123
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Dulling the impact of AI-fueled cyber threats with AI

CIO Business Intelligence

From prompt injections to poisoning training data, these critical vulnerabilities are ripe for exploitation, potentially leading to increased security risks for businesses deploying GenAI. Artificial Intelligence: A turning point in cybersecurity The cyber risks introduced by AI, however, are more than just GenAI-based.

Risk 128
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The Unexpected Cost of Data Copies

An organization’s data is copied for many reasons, namely ingesting datasets into data warehouses, creating performance-optimized copies, and building BI extracts for analysis. How a next-gen data lake can halt data replication and streamline data management. How replicated data increases costs and impacts the bottom line.