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CIOs confront generative AI’s workplace X factor

CIO

In the rush to establish technical strategies for making good on the promise of generative AI, many CIOs find themselves running headlong into what may be their most challenging task yet: preparing their organization’s end-users — from knowledge workers and assembly line laborers to doctors, accountants, and lawyers — to co-exist with generative AI.

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Gartner® Magic Quadrant™ for Cloud Database Report Recognizes Cloudera as a Visionary

Cloudera

Gartner® recognized Cloudera in three recent reports – Magic Quadrant for Cloud Database Management Systems (DBMS), Critical Capabilities for Cloud Database Management Systems for Analytical Use Cases and Critical Capabilities for Cloud Database Management Systems for Operational Use Cases. Download the reports to see the detailed scores .

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Apiumhub among top IT industry leaders in Code Europe event

Apiumhub

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning - AI

What operational and technical best practices can I integrate into how my organization builds generative AI LLM applications to manage risk and increase confidence in generative AI applications using LLMs? What are some ways to implement security and privacy controls in the development lifecycle for generative AI LLM applications on AWS?

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How to Hire AI Developers?

Existek

But let’s gather some common tasks and responsibilities associated with the job of AI developers: Problem definition: It’s a common practice that AI experts have to work closely with stakeholders to understand business or research objectives. It really helps to identify problems solved or optimized using AI techniques.

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The rise of the data lakehouse: A new era of data value

CIO

Previously, Walgreens was attempting to perform that task with its data lake but faced two significant obstacles: cost and time. Those challenges are well-known to many organizations as they have sought to obtain analytical knowledge from their vast amounts of data. You can intuitively query the data from the data lake.

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Data Collection for Machine Learning: Steps, Methods, and Best Practices

Altexsoft

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?