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The key to operational AI: Modern data architecture

CIO Business Intelligence

Recent research shows that 67% of enterprises are using generative AI to create new content and data based on learned patterns; 50% are using predictive AI, which employs machine learning (ML) algorithms to forecast future events; and 45% are using deep learning, a subset of ML that powers both generative and predictive models.

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CIOs must reassess cloud concentration risk post-CrowdStrike

CIO Business Intelligence

But the outage has also raised questions about enterprise cloud strategies and resurfaced debate about overly privileged software , as IT leaders look for takeaways from the disastrous event. It also highlights the downsides of concentration risk. What is concentration risk? Still, we must.

Risk 144
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Infor’s Velocity Summit Highlights Multiple Advances and Enhancements

David Menninger's Analyst Perspectives

One new and interesting topic covered at the event was process mining, which Infor is introducing in its various cloud suites. Process mining analyzes event data from the logs of software applications to understand how processes are designed to perform and how they actually perform.

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AI Helps Mitigate These 5 Major Supplier Risks

Smart Data Collective

AI is particularly helpful with managing risks. How AI Can Help Suppliers Manage Risks Better. The benefits of AI stem from the need to manage close relationships with business stakeholders, which is a difficult task. Failure or Delay Risk. Brand Reputation Risk. Fortunately, AI technology can make this easier.

Risk 144
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Delays in TSMC’s Arizona plant spark supply chain worries

CIO Business Intelligence

Speaking at a university event in Taiwan, TSMC CEO and Chairman C.C. Wei also noted that chemical supply costs in the US are substantially higher, citing the need to ship sulfuric acid from Taiwan to Los Angeles and then transport it to Arizona by truck. Reports now indicate production has already started.

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Balancing the costs and opportunities of GenAI adoption

CIO Business Intelligence

But alongside its promise of significant rewards also comes significant costs and often unclear ROI. For CIOs tasked with managing IT budgets while driving technological innovation, balancing these costs against the benefits of GenAI is essential.

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Build a high-performance quant research platform with Apache Iceberg

AWS Big Data

Our experiments are based on real-world historical full order book data, provided by our partner CryptoStruct , and compare the trade-offs between these choices, focusing on performance, cost, and quant developer productivity. Also, the time travel feature can further mitigate any risks of lookahead bias.

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