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Building Effective Machine Learning Pipelines: Tabular vs. Text Analytics Use Cases
Robust ML pipelines are essential to handle different types of data and tasks efficiently. We explore the 3-pipeline design and how it maps to tabular…
Apr 13
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Carlo Carandang
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Building Effective Machine Learning Pipelines: Tabular vs. Text Analytics Use Cases
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Why You Can’t Utilize BI Architectures To Define AI Ones at the Enterprise
AI projects and BI reporting solutions operate on fundamentally different principles, requiring distinct architectures and development methodologies for…
Apr 7
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Carlo Carandang
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Why You Can’t Utilize BI Architectures To Define AI Ones at the Enterprise
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Government Sector AI- Benefits over Private Sector AI
With the recurring waves of tech layoffs from Big Tech, pivoting to the government sector is an increasingly viable option for AI professionals.
Apr 6
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Carlo Carandang
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Government Sector AI- Benefits over Private Sector AI
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IT Governance Framework for Generative AI Usage: Daily Workflows vs GenAI Projects
Enterprises need an IT governance framework for 2 streams of Generative AI usage: one for daily use in workflows by users, and the other for GenAI…
Apr 6
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Carlo Carandang
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IT Governance Framework for Generative AI Usage: Daily Workflows vs GenAI Projects
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February 2024
The Role of a Technical AI Strategist in Large Organizations
A Technical AI Strategist is indispensable for successful AI implementation in large organizations, and is complementary to the capabilities of a…
Feb 25
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Carlo Carandang
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The Role of a Technical AI Strategist in Large Organizations
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I hired my first data scientist - when can I expect to see results?
A hiring manager asked this question, and the answer is not so simple. But great question!
Feb 17
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Carlo Carandang
3
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I hired my first data scientist - when can I expect to see results?
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Join my Enterprise Data Science Subscriber Chat
A private space for us to converse and connect about Enterprise Data Science for large organizations and government organizations.
Feb 8
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Carlo Carandang
2
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Join my Enterprise Data Science Subscriber Chat
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Defining the Data Science Cluster for your Enterprise Cloud Roadmap
When organizations are adopting AI, it is important to have a roadmap to get to your target state. Increasingly, data analytics platforms are going to…
Feb 7
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Carlo Carandang
1
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Defining the Data Science Cluster for your Enterprise Cloud Roadmap
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Accelerating AI MVP Development: Leveraging Cloud Platforms
Explore the pivotal role of cloud platforms in aiding AI-naive organizations’ transition from prototypes to MVPs, utilizing three main types of AI cloud…
Feb 7
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Carlo Carandang
2
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Accelerating AI MVP Development: Leveraging Cloud Platforms
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January 2024
The Crucial Role of Data Scientists in AI Integration: A Guide to Maintaining the Data Science Lifecycle
When AI-naive organizations rush to incorporate AI into their workflows without following the data science lifecycle, they often end up with predictions…
Jan 21
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Carlo Carandang
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The Crucial Role of Data Scientists in AI Integration: A Guide to Maintaining the Data Science Lifecycle
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Navigating the IT Seas: Lifecycles and Frameworks in Technology Systems Development
Explore the crucial lifecycles and frameworks essential for building robust IT systems, from software development to Machine Learning (ML) and…
Jan 17
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Carlo Carandang
1
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Navigating the IT Seas: Lifecycles and Frameworks in Technology Systems Development
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Enhancing Large Language Models: Techniques for Improved Outputs
We explore three key techniques- Prompt Engineering, Fine Tuning, and Retrieval-Augmented Generation (RAG)- used to enhance Large Language Models (LLMs…
Jan 15
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Carlo Carandang
2
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Enhancing Large Language Models: Techniques for Improved Outputs
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