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Building a vision for real-time artificial intelligence

CIO

Data is a key component when it comes to making accurate and timely recommendations and decisions in real time, particularly when organizations try to implement real-time artificial intelligence. A whole lot has to happen behind the scenes to succeed and get tangible business results. It isn’t easy.

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How DevOps Powered by AI and Machine Learning Is Delivering Business Transformation

DevOps.com

The use of artificial intelligence (AI) and machine learning (ML) is fundamentally changing the way we think about DevOps. Most notably, it is delivering a new form of DevOps that recognizes the need to have systems that are intelligent by design and underpinned by comprehensive security (DevSecOps).

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Why CIOs should invest in digital through economic headwinds

CIO

Approximately 34% are increasing investment in artificial intelligence (AI) and 24% in hyper-automation as well. Gartner’s managing VP Mary Mesaglio said she remained optimistic for tech investments, with the latest crisis offering CIOs yet another opportunity to “make the difference”.

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Generative AI won’t automate your way to business model innovation

CIO

Integrating artificial intelligence into business has spawned enterprise-wide automation. Restructuring and automating are necessary parts of business survival. She compared AI to the purpose of art, which made me think differently about the role then of AI and creativity in business transformation.

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App Modernization in the Digital Age: The Role of AI and ML in Application Modernization

OTS Solutions

In today’s fast-paced digital age, one way to achieve transformation in existing services is through app modernization, which involves updating or transforming existing apps to meet current industry standards and user demands.

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App Modernization in the Digital Age: The Role of AI and ML in Application Modernization

OTS Solutions

In today’s fast-paced digital age, one way to achieve transformation in existing services is through app modernization, which involves updating or transforming existing apps to meet current industry standards and user demands.

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IT Automation – 6 Technologies for Business Transformation

Kaseya

It typically applies statistical techniques, predictive modeling and machine learning to accomplish this goal. There are many applications of predictive analytics, including fraud detection, enhancing cybersecurity, optimization of marketing programs and improving business operations. Artificial Intelligence (AI).