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5 use cases for how Generative AI can supercharge document productivity across the enterprise

CIO Business Intelligence

Generative AI presents an incredible new opportunity to empower every knowledge worker to get more value from their documents and work more productively. However, deploying generative AI across the organization quickly, yet in a secure and compliant way can be challenging for IT leaders.

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AI this Earth Day: Top opportunities to advance sustainability initiatives

IBM Big Data Hub

To drive real change, it’s crucial for individuals, industries, organizations and governments to work together, using data and technology to uncover new opportunities that will help advance sustainability initiatives across the globe. This Earth Day, we are calling for action to conserve our scarcest resource: the planet.

IoT 86
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4 smart technologies modernizing sourcing strategy

IBM Big Data Hub

To start, many organizations have already pivoted from a tactical to a strategic sourcing mindset—which can make all the difference when it comes to gaining and retaining a competitive advantage. Sourcing is getting smarter. For example, the IBM Sterling Transaction Manager automates manual transactions between businesses and suppliers.

Strategy 106
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3 myths hindering your business from adopting generative AI 

IBM Big Data Hub

Generative AI holds enormous potential for driving business growth. It offers ease of integration and scalability for analytics and AI workloads using your company’s data, and offers guardrails for ensuring governance, security and compliance. The companies innovating with generative AI aren’t just industry giants.

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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

The big data market is expected to exceed $68 billion in value by 2025 , a testament to its growing value and necessity across industries. In this article, we’re going to examine examples and benefits of big data in logistics industry to fuel your imagination and get you thinking outside of the box. Did you know?

Big Data 275
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Balancing latency and sustainability

CIO Business Intelligence

Many companies are simultaneously looking to implement compute-intensive technologies like AI, which can make their sustainability efforts even more challenging. In this blog post, we’ll explore how enterprises can balance their need for sustainable operations with their need to support latency-sensitive applications.

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How Jamworks protects confidentiality while integrating AI advantages

IBM Big Data Hub

The integration of artificial intelligence (AI) has ushered in a new era of technological progress, offering a spectrum of benefits across industries. AI’s potential to revolutionize operations, enhance decision-making and drive innovation is undeniable.