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Redefining enterprise transformation in the age of intelligent ecosystems

CIO Business Intelligence

A tectonic shift was moving us all from monolithic architectures to self-service models and an existential crisis for architecture and IT was upon us. For large enterprises, the success rate is even lower, with estimates hovering around 16-20% due to the scale and complexity of the initiatives.

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What is S/4HANA? SAP’s latest ERP system explained

CIO Business Intelligence

SAP R/1 was designed as standard software that could be offered to other companies. This principle was so successful that R/3 almost completely replaced the R/2 software package. The entire architecture of S/4HANA is tightly integrated and coordinated from a software perspective. In 2010, SAP introduced the HANA database.

System 269
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Broadcom Software and Google Cloud: What’s Next for Software

CIO Business Intelligence

By Andy Nallappan, Chief Technology Officer and Head of Software Business Operations, Broadcom Software Last month at Gartner Symposium in Orlando, Fla., By Andy Nallappan, Chief Technology Officer and Head of Software Business Operations, Broadcom Software Last month at Gartner Symposium in Orlando, Fla.,

Software 264
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9 steps to take to prepare for a quantum future

Network World

For the first time, we can confidently say, the zero to one moment has happened, and now we can look at scaling roadmaps instead of science roadmaps, says Pranav Gokhale, vice president of quantum software at Infleqtion, which is focusing on the neutral atom approach to quantum computing. You have to look into it, Mueller warns.

Research 466
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What CEOs really need from today’s CIOs

CIO Business Intelligence

In today’s data economy, in which software and analytics have emerged as the key drivers of business, CEOs must rethink the silos and hierarchies that fueled the businesses of the past. Here’s what that takes: From software and the business to software is the business. Modern delivery. The cloud.

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Multicloud: Tips for getting it right

CIO Business Intelligence

This is useful, for example, when setting up staging environments that are needed at different stages in the software development process. It is useful, for example, when developing cloud applications in highly regulated industries such as banking and insurance, aerospace, utilities and automotive.

Cloud 227
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Beyond the hype: Do you really need an LLM for your data?

CIO Business Intelligence

In life sciences, simple statistical software can analyze patient data. Another compelling use case is in the automotive industry. SQL can crunch numbers and identify top-selling products. Even basic predictive modeling can be done with lightweight machine learning in Python or R. In retail, basic database queries can track inventory.

Data 287