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Avoid generative AI malaise to innovate and build business value

CIO Business Intelligence

However such fear, uncertainty, and doubt (FUD) can make it harder for IT to secure the necessary budget and resources to build services. Cleanse your data. GenAI requires high-quality data. Ensure that data is cleansed, consistent, and centrally stored, ideally in a data lake.

Data Lake 127
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Lessons from the field: How Generative AI is shaping software development in 2023

CIO Business Intelligence

The use of AI-generated code is still in an experimental phase for many organizations due to numerous uncertainties such as its impact on security, data privacy, copyright, and more. For example, litigation has surfaced against companies for training AI tools using data lakes with thousands of unlicensed works.

Software 118
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Turning the page

Cloudera

Future-proof, “no-code” connectors enable customers to extract data from a wide range of popular data sources, and multi-level transformations are automatically orchestrated using, just, SQL. Cazena powers the delivery of instant cloud data lakes, making it possible to accelerate time to analytics and AI/ML from months to minutes.

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How is the ‘Mesh’ Resolving Bottlenecks of Data Management

Smart Data Collective

Data Management before the ‘Mesh’. In the early days, organizations used a central data warehouse to drive their data analytics. Even today, there are a large number of them using data lakes to drive predictive analytics. However, the enormous rate of data growth is obstructing application scalability.

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Belcorp reimagines R&D with AI

CIO Business Intelligence

These circumstances have induced uncertainty across our entire business value chain,” says Venkat Gopalan, chief digital, data and technology officer, Belcorp. “As To address the challenges, the company has leveraged a combination of computer vision, neural networks, NLP, and fuzzy logic. This allowed us to derive insights more easily.”

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Connect the Data Lifecycle: The power of data

Cloudera

With customer-centricity in mind, Manulife set out to find ways of gathering scattered and locked up customer data and bringing it together to provide real-time data insights to the business users. They wanted a holistic view of their customers, in order to provide better services.

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Innovate What’s Next: How Living Labs Brings Ideas to Life

CIO Business Intelligence

If anything, the past few years have shown us the levels of uncertainty we are facing. Our world today is experiencing an extremely social, connected, competitive and technology-driven business environment.