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What’s holding back CIO’s AI strategies? Their own AI learning curve for one

CIO

But it’s important to understand that AI is an extremely broad field and to expect non-experts to be able to assist in machine learning, computer vision, and ethical considerations simultaneously is just ridiculous.” “A certain level of understanding when it comes to AI is required, especially amongst the executive teams,” he says.

Strategy 199
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Saudi Arabia’s cybersecurity strategy: Building a resilient digital future

CIO

As Saudi Arabia accelerates its digital transformation, cybersecurity has become a cornerstone of its national strategy. Saudi Arabias comprehensive cybersecurity strategy focuses on strengthening its infrastructure, enhancing its resilience against cyber threats, and positioning itself as a global leader in cybersecurity innovation.

Strategy 158
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AI in the C-suite: Using AI to shape business strategy

CIO

My involvement in fine-tuning and tweaking our AI models frequently helps yield more precise predictions and thus improves our overall business strategies,” Bacher said. Lazarev agrees: “It’s one thing to have the technology, but it’s another to weave it into the fabric of your business strategy.

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Strategies for Attracting and Retaining Top Talent in a Competitive Market

N2Growth Blog

To attract and retain top-tier talent in a competitive market, organizations must adopt innovative strategies that help identify the right candidates and create a cultural environment where they can thrive. Leveraging Technology for Smarter Hiring Embracing technology is imperative for optimizing talent acquisition strategies.

Strategy 163
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10 Keys to AI Success in 2021

Capitalizing on the incredible potential of AI means having a coherent AI strategy that you can operationalize within your existing processes. How MLOps streamlines machine learning from data to value. But it’s not always easy for organizations to do. AI storytelling in communicating value to your organization.

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Build a strong data foundation for AI-driven business growth

CIO

In the quest to reach the full potential of artificial intelligence (AI) and machine learning (ML), there’s no substitute for readily accessible, high-quality data. It’s impossible,” says Shadi Shahin, Vice President of Product Strategy at SAS. If the data volume is insufficient, it’s impossible to build robust ML algorithms.

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Bridging the IT skills gap, Part 1: Assessing current strategies and introducing GenAI as a unified solution

CIO

Current strategies to address the IT skills gap Rather than relying solely on hiring external experts, many IT organizations are investing in their existing workforce and exploring innovative tools to empower their non-technical staff. Using this strategy, LOB staff can quickly create solutions tailored to the companys specific needs.

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MLOps 101: The Foundation for Your AI Strategy

Many organizations are dipping their toes into machine learning and artificial intelligence (AI). Machine Learning Operations (MLOps) allows organizations to alleviate many of the issues on the path to AI with ROI by providing a technological backbone for managing the machine learning lifecycle through automation and scalability.

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Future Focus: Constructing Unshakeable Stability in Your Manufacturing Supply Chain

Speaker: Jay Black, Senior Account Executive

We’ve all heard the buzzwords to describe new supply chain trends: resiliency, sustainability, AI, machine learning. But what do these really mean today? Over the past few years, manufacturing has had to adapt to and overcome a wide variety of supply chain trends and disruptions to stay as stable as possible.