Remove solutions accelerators large-language-models-retail
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Azure for Data Science: Overview, Challenges, Technologies

Knowledge Hut

An Azure Data Scientist specializes in extracting valuable insights from large data sets. It helps me to perform data analysis and visualizations with just a few clicks and train predictive models, design and develop data-driven solutions for my organization. Why Use Azure for Data Science?

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How to Become an Azure Data Engineer? 2023 Roadmap

Knowledge Hut

The global pandemic accelerated the digital transformation, leading to increased demand for data and analytics professionals across industries, such as healthcare and retail. To provide end users with a variety of ready-made models, Azure Data engineers collaborate with Azure AI services built on top of Azure Cognitive Services APIs.

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How Financial Services and Insurance Streamline AI Initiatives with a Hybrid Data Platform

Cloudera

With the emergence of new creative AI algorithms like large language models (LLM) fromOpenAI’s ChatGPT, Google’s Bard, Meta’s LLaMa, and Bloomberg’s BloombergGPT—awareness, interest and adoption of AI use cases across industries is at an all time high. Introducing “-Trusted AI” Enter “Trusted AI.”

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How Advertising, Media & Entertainment and Manufacturing Companies Are Accelerating Data, Apps and AI Strategy in the Data Cloud

Snowflake

In 2023, we held our first Accelerate event to explore industry trends, track data and technology innovations in financial services, and lay out data strategy case studies for the industry. Why attend Accelerate Advertising, Media & Entertainment? Why Attend Accelerate Manufacturing?

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10 Real World Data Science Case Studies Projects with Example

ProjectPro

With wide applications in various sectors like healthcare, education, retail, transportation, media, and banking -data science applications are at the core of pretty much every industry out there. Walmart is experiencing massive digital growth as the world's largest retailer. Data science has been a trending buzzword in recent times.

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The Chief AI Officer: Avoid The Trap of Conway’s Law

Ascend.io

If you look closely, the solutions being proposed in your organization will likely reflect current departmental silos, legacy objectives, internal politics, and traditional power centers. Scalability and Future-Proofing: The ongoing dynamic evolution of AI demands solutions that can adapt quickly and scale unpredictably.

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Unlocking Cloud Insights: A Comprehensive Guide to AWS Data Analytics

Edureka

image source : [link] ) Presence of Data Analytics in Your Life The amount of data being generated and gathered is expanding and accelerating substantially as society becomes more digital. Cloud technology can be used to build entire data lakes, data warehousing, and data analytics solutions. Why Prefer Cloud for Data Analytics?

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