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6 lessons to learn from the 60-year history of the modern mainframe

CIO

These colossal machines underpinned critical functions, from financial transactions to scientific simulations, showcasing unparalleled reliability, scalability, and performance. Dispelling misconceptions, mainframes are not relics of the past but beacons of innovation.

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Innovative data integration in 2024: Pioneering the future of data integration

CIO

Of late, innovative data integration tools are revolutionising how organisations approach data management, unlocking new opportunities for growth, efficiency, and strategic decision-making by leveraging technical advancements in Artificial Intelligence, Machine Learning, and Natural Language Processing.

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Harness the Power of Pinecone with Cloudera’s New Applied Machine Learning Prototype

Cloudera

Elevate your AI applications with our latest applied ML prototype At Cloudera, we continuously strive to empower organizations to unlock the full potential of their data, catalyzing innovation and driving actionable insights. We invite you to explore the improved functionalities of this latest AMP.

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Bud Financial helps banks and their customers make more informed decisions using AI with DataStax and Google Cloud

CIO

Embrace scalability One of the most critical lessons from Bud’s journey is the importance of scalability. For Bud, the highly scalable, highly reliable DataStax Astra DB is the backbone, allowing them to process hundreds of thousands of banking transactions a second. Artificial Intelligence, Machine Learning

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Pursuing A New Future of Innovation Through Digital Banking Strategy

CIO

At the centre of these changes are disruptive technologies like artificial intelligence, cloud computing, and machine learning, which are paving the way for new business models. Refining the balancing act of innovation and risk. One example is Banking-as-a-Service, with the market expected to reach US$3.6 trillion by 2030.

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List of Top 10 Machine Learning Examples in Real Life

Openxcell

But with technological progress, machines also evolved their competency to learn from experiences. This buzz about Artificial Intelligence and Machine Learning must have amused an average person. But knowingly or unknowingly, directly or indirectly, we are using Machine Learning in our real lives.

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Pursuing A New Future of Innovation Through Digital Banking Strategy

CIO

At the centre of these changes are disruptive technologies like artificial intelligence, cloud computing, and machine learning, which are paving the way for new business models. Refining the balancing act of innovation and risk. One example is Banking-as-a-Service, with the market expected to reach US$3.6 trillion by 2030.

Banking 246