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Avoid generative AI malaise to innovate and build business value

CIO Business Intelligence

Deloitte 2 meanwhile found that 41% of business and technology leaders said a lack of talent, governance, and risks are barriers to broader GenAI adoption. However such fear, uncertainty, and doubt (FUD) can make it harder for IT to secure the necessary budget and resources to build services. Choose a workload location.

Data Lake 131
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Lessons from the field: How Generative AI is shaping software development in 2023

CIO Business Intelligence

While the potential of Generative AI in software development is exciting, there are still risks and guardrails that need to be considered. Risks of AI in software development Despite Generative AI’s ability to make developers more efficient, it is not error free.

Software 119
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Turning the page

Cloudera

In summary, the next chapter for Cloudera will allow us to concentrate our efforts on strategic business opportunities and take thoughtful risks that help accelerate growth. 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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Adapting to Change: Finding Opportunity in Crucible Moments

Alation

Recognizing it — and even capitalizing on it — requires data. Uncertainty reigns These days, planning a dinner out can be as complicated as planning a global business acquisition. As these issues continue to swirl, many business leaders will suggest pulling back, waiting to see what happens, and minimizing exposure to risk.

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CIOs press ahead for gen AI edge — despite misgivings

CIO Business Intelligence

If anything, 2023 has proved to be a year of reckoning for businesses, and IT leaders in particular, as they attempt to come to grips with the disruptive potential of this technology — just as debates over the best path forward for AI have accelerated and regulatory uncertainty has cast a longer shadow over its outlook in the wake of these events.

Risk 139
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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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Celebrating Data Superheroes: The 2021 Data Impact Awards Winners

Cloudera

By adopting a custom developed application based on the Cloudera ecosystem, Carrefour has combined the legacy systems into one platform which provides access to customer data in a single data lake. EVA unifies data from MTN’s different operator systems, creating a 360° view of subscribers. Data for Good.