Remove 2025 Remove Data Quality Remove Optimization
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Unlocking the full potential of enterprise AI

CIO Business Intelligence

Research from Gartner, for example, shows that approximately 30% of generative AI (GenAI) will not make it past the proof-of-concept phase by the end of 2025, due to factors including poor data quality, inadequate risk controls, and escalating costs. [1] Reliability and security is paramount.

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7 types of tech debt that could cripple your business

CIO Business Intelligence

Data debt that undermines decision-making In Digital Trailblazer , I share a story of a private company that reported a profitable year to the board, only to return after the holiday to find that data quality issues and calculation mistakes turned it into an unprofitable one.

Risk 140
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What fuels Soltour’s strategy of digitalization and innovation

CIO Business Intelligence

It allows tourism companies to anticipate demand, optimize resource management, and improve sustainability, he says.And in an environment where speed, precision, and personalization are essential, its vital to adopt solutions to improve the customer experience and be on the front foot to new market changes.

Strategy 115
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7 ways gen AI can create more work than it saves

CIO Business Intelligence

The company has already rolled out a gen AI assistant and is also looking to use AI and LLMs to optimize every process. One is going through the big areas where we have operational services and look at every process to be optimized using artificial intelligence and large language models. We’re doing two things,” he says.

IT 141
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Deep automation: A CIO weapon for turning disruption into opportunity

CIO Business Intelligence

Unlike traditional approaches, deep automation is holistic, adaptive, and evolutive, prioritizing human-machine partnership and customer experience for optimal efficiency and impact. AI-integrated tractors, planters, and harvesters form a data-driven team, optimizing tasks and empowering farmers.

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4 Tips for Processing Real-Time Data

CIO Business Intelligence

Several factors make such scaling difficult: Massive Data Growth: Global data creation is projected to exceed 180 zettabytes by 2025. Real-time Analytics: The amount of real-time data in the global datasphere will grow from 9.5 zettabyes in 2020 to 51 zettabytes in 2025. Just starting out with analytics?

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12 Cloud Computing Risks & Challenges Businesses Are Facing In These Days

datapine

The main concerns surrounding cyber threats across the board are: Compromised credentials Broken authentication Human error Mass sensitive data breaches Hacked interfaces and APIs Account hijacking. trillion by 2025 , these concerns are urgent and certainly not far-fetched fallacies. Governance/Control.

Risk 237