Remove insights data-security reimagining-risk-management-in-a-changing-world
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Generative AI use cases for the enterprise

IBM Big Data Hub

Demystifying generative AI At the heart of Generative AI lie massive databases of texts, images, code and other data types. This data is fed into generational models, and there are a few to choose from, each developed to excel at a specific task. Imagine each data point as a glowing orb placed on a vast, multi-dimensional landscape.

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Surviving Radical Disruption with Data Intelligence

erwin

It’s certainly no secret that data has been growing in volume, variety and velocity, and most companies are overwhelmed by managing it, let alone harnessing it to put it to work. quintillion bytes of data every day, and 90% of the world’s data volume has been created in the past two years alone.

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The Future of Enterprise Architecture

erwin

COVID-19 has forced organizations around the globe to re-examine or reimagine themselves. Data Security & Risk Management. Innovation Management. Data Center Consolidation. Application Portfolio Management. Data Governance (knowing what data you have and where it is).

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What is digital transformation? A necessary disruption

CIO Business Intelligence

Most CEOs (72%) continue to prioritize digital investments, according to the 2022 CEO Outlook report from KPMG, in part due to concerns about emerging and disruptive technology, a top three risk to organizational growth. Once a vanguard business strategy, digital transformation has become a perennial objective for business survival.

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10 key roles for AI success

CIO Business Intelligence

But the success of their AI initiatives depends on more than just data and technology — it’s also about having the right people on board. An effective enterprise AI team is a diverse group that encompasses far more than a handful of data scientists and engineers. Data scientist. Data scientists are the core of any AI team.

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Re-thinking The Insurance Industry In Real-Time To Cope With Pandemic-scale Disruption

Cloudera

Their models, data, and systems, curated for decades or centuries and fiercely protected, simply did not and could not factor in how a global pandemic would affect their customers. Now, they face a world with restrictions they did not expect. Insurance companies, like most, were taken by surprise by COVID-19.

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Four Ways Telcos Can Realize Data-Driven Transformation

Cloudera

While navigating so many simultaneous data-dependent transformations, they must balance the need to level up their data management practices—accelerating the rate at which they ingest, manage, prepare, and analyze data—with that of governing this data.