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4 smart technologies modernizing sourcing strategy

IBM Big Data Hub

Because organizations with strategic sourcing mindsets look beyond price and cost savings-centered supplier selection initiatives. Successful strategic sourcing often results in process optimization, cost management, customer satisfaction, risk management , increased sustainability and other benefits.

Strategy 106
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Streamlining supply chain management: Strategies for the future

IBM Big Data Hub

In today’s complex global business environment, effective supply chain management (SCM) is crucial for maintaining a competitive advantage. Here’s how companies are using different strategies to address supply chain management and meet their business goals.

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How to build a successful procurement strategy

IBM Big Data Hub

A procurement strategy allows an organization to navigate an increasingly complex global supply chain, adapt swiftly to market fluctuations, and achieve cost optimization, operational efficiency and growth. A procurement strategy is not merely a series of steps for acquiring goods and services. What is a procurement strategy?

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Essential skills and traits of chief AI officers

CIO Business Intelligence

To date, many of these positions are with technology vendors or at government entities in the wake of recent AI mandates. They should lead the efforts to tie AI capabilities to data analytics and business process strategies and champion an AI-first mindset throughout the organization.

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5 Tips to Stay Competitive as AI Technology Evolves

Smart Data Collective

The market for AI technology is growing remarkably. While marketing remains relevant and essential, AI technology provides endless opportunities that create a massive edge between you and your competitors. AI technology helps businesses respond to change and new business opportunities effectively. Leverage innovation.

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What Is Model Risk Management and How is it Supported by Enterprise MLOps?

Domino Data Lab

Model Risk Management is about reducing bad consequences of decisions caused by trusting incorrect or misused model outputs. Systematically enabling model development and production deployment at scale entails use of an Enterprise MLOps platform, which addresses the full lifecycle including Model Risk Management.

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20 issues shaping generative AI strategies today

CIO Business Intelligence

They note, too, that CIOs — being top technologists within their organizations — will be running point on those concerns as companies establish their gen AI strategies. Here’s a rundown of the top 20 issues shaping gen AI strategies today. Douglas Merrill, a partner at management consulting firm McKinsey & Co.,