Remove 2024 Remove Experimentation Remove Modeling
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13 IT resolutions for 2024

CIO Business Intelligence

CIOs are readying for another demanding year, anticipating that artificial intelligence, economic uncertainty, business demands, and expectations for ever-increasing levels of speed will all be in play for 2024. Here’s what they list as their 2024 resolutions. He sees 2024 as the year to have good answers.

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3 key digital transformation priorities for 2024

CIO Business Intelligence

Many technology investments are merely transitionary, taking something done today and upgrading it to a better capability without necessarily transforming the business or operating model. If CIOs don’t improve conversions from pilot to production, they may find their investors losing patience in the process and culture of experimentation.

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8 pressing needs for CIOs in 2024

CIO Business Intelligence

The most pressing responsibilities for CIOs in 2024 will include security, cost containment, and cultivating a data-first mindset.” Here, we detail those and others that comprise eight of the top priorities for CIOs in 2024. Adaptability and useability of AI tools For CIOs, 2023 was the year of cautious experimentation for AI tools.

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Top 8 failings in delivering value with generative AI and how to overcome them

CIO Business Intelligence

According to a recent IDC study (Future Enterprise Resiliency and Spending Survey, Wave 4, IDC, April 2024), companies are conducting an average of 37 GenAI proofs of concept (POCs), with only five advancing to production. Solution: Regularly audit and retrain models using diverse and representative data sets.

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Autodesk enlists Einstein AI to enhance customer service

CIO Business Intelligence

Even as it designs 3D generative AI models for future customer deployment, CAD/CAM design giant Autodesk is “leaning” into generative AI for its customer service operations, deploying Salesforce’s Einstein for Service with plans to use Agentforce in the future, CIO Prakash Kota says. Not anymore.

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Achieving cloud excellence and efficiency with cloud maturity models

IBM Big Data Hub

Cloud maturity models are a useful tool for addressing these concerns, grounding organizational cloud strategy and proceeding confidently in cloud adoption with a plan. Cloud maturity models (or CMMs) are frameworks for evaluating an organization’s cloud adoption readiness on both a macro and individual service level.

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CIOs look to sharpen AI governance despite uncertainties

CIO Business Intelligence

IDC, for instance, recommends the NIST AI Risk Management Framework as a suitable standard to help CIOs develop AI governance in house, as well as EU AI ACT provisions, says Trinidad, who cites best practices for some aspects of AI governance in “ IDC PeerScape: Practices for Securing AI Models and Applications.” The challenges? “AI