article thumbnail

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

datapine

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. These applications are designed to benefit logistics and shipping companies alike. Did you know?

Big Data 275
article thumbnail

The future of application delivery starts with modernization

IBM Big Data Hub

IDC estimates that 750 million cloud native will be built by 2025. Organizations need full flexibility to address important questions, including: How soon can you test your hypothesis (such as how many geographies or which user personas)? For example, the cost of the technical debt in US was $1.52 trillion in 2022.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Reshoring manufacturing to the US: The role of AI, automation and digital labor

IBM Big Data Hub

According to studies quoted by Deloitte , it is estimated that AI and machine learning will contribute to a 37% increase in labor productivity by 2025. Manufacturing overseas allowed longer production runs with cheaper changeover costs between products, whereas reshoring requires greater flexibility and agility in production systems.

article thumbnail

Applying cyber resilience to DORA solutions

IBM Big Data Hub

DORA establishes technical standards that financial entities and their critical third-party technology service providers must implement in their ICT systems by January 17, 2025. Regulators also require organizations to test business recovery processes periodically and provide documented test results showing that SLAs have been met.

article thumbnail

A summary of Gartner’s recent DataOps-driven data engineering best practices article

DataKitchen

Or, as one of our customers put it, “How do I increase the total amount of team insight generated without continually adding more staff (and cost)?” Staff turnover, stress, and unhappiness. Release New Data Engineering Work Often With Low Risk: “Testing and release processes are heavily manual tasks… automate these processes.”

article thumbnail

Concerns remain even as the EU reaches a landmark deal to govern AI

CIO Business Intelligence

Other countries, including the US and the UK , are also working on regulations to govern AI so they can benefit from the technology while mitigating the risks. We promote innovation through regulatory sandboxes, real-world testing and open sources [excluding open source AI systems from transparency requirement]. This is just not true.

Risk 108
article thumbnail

Generative AI is electrifying. Charge ahead or get shocked.

CIO Business Intelligence

A large majority of applications will include AI by 2025, and let’s be honest, you can’t put a price on GPT. But today, every customer and prospect I speak with is thinking about how generative AI (GenAI) can benefit their business. It’s our new reality and will be the most important and disruptive innovation of our lifetime.