Smart Data Collective

OCTOBER 17, 2022

Data pipelines automatically fetch information from various disparate sources for further consolidation and transformation into high-performing data storage. There are a number of challenges in data storage , which data pipelines can help address. Choosing the right data pipeline solution.

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databricks

DECEMBER 12, 2023

Introduction Databricks Lakehouse Monitoring allows you to monitor all your data pipelines – from data to features to ML models – without additional too.

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Flipboard

JUNE 22, 2023

Data engineering startup Prophecy is giving a new turn to data pipeline creation. Known for its low-code SQL tooling, the California-based company today announced data copilot, a generative AI assistant that can create trusted data pipelines from natural language prompts and improve pipeline quality …

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insideBIGDATA

NOVEMBER 5, 2024

At the recent 2024 AI Hardware & Edge AI Summit in San Jose, Calif.,

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Analytics Vidhya

JULY 1, 2024

It serves as the primary means for communicating with relational databases, where most organizations store crucial data. SQL plays a significant role including analyzing complex data, creating data pipelines, and efficiently managing data warehouses. appeared first on Analytics Vidhya.

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Towards AI

OCTOBER 31, 2024

Last Updated on October 31, 2024 by Editorial Team Author(s): Jonas Dieckmann Originally published on Towards AI. Data analytics has become a key driver of commercial success in recent years. The ability to turn large data sets into actionable insights can mean the difference between a successful campaign and missed opportunities.

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Dataconomy

JANUARY 24, 2025

Meet Nataliya, an AI consultant who combines academic background with practical industry experience. A principal data scientist with international experience and former lecturer in Machine Learning, Nataliya has led AI initiatives in the manufacturing, retail, and public sectors. You currently serve as a principal AI consultant.

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Precisely

DECEMBER 28, 2023

The concept of streaming data was born of necessity. More than ever, advanced analytics, ML, and AI are providing the foundation for innovation, efficiency, and profitability. But insights derived from day-old data don’t cut it. Business success is based on how we use continuously changing data.

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Flipboard

JANUARY 31, 2025

Observo AI, an artificial intelligence-powered data pipeline company that helps companies solve observability and security issues, said Thursday it has raised $15 million in seed funding led by Felici

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IBM Journey to AI blog

MAY 15, 2024

Business leaders risk compromising their competitive edge if they do not proactively implement generative AI (gen AI). However, businesses scaling AI face entry barriers. This situation will exacerbate data silos, increase costs and complicate the governance of AI and data workloads.

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Dataversity

SEPTEMBER 6, 2024

Data pipelines are like insurance. ETL processes are constantly toiling away behind the scenes, doing heavy lifting to connect the sources of data from the real world with the warehouses and lakes that make the data useful. You only know they exist when something goes wrong.

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Flipboard

APRIL 10, 2023

Low-code and no-code platforms are used to build applications, websites, mobile apps, forms, dashboards, data pipelines, and integrations. No-code …

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Flipboard

FEBRUARY 3, 2023

Over the last few years, with the rapid growth of data, pipeline, AI/ML, and analytics, DataOps has become a noteworthy piece of day-to-day business New-age technologies are almost entirely running the world today. Among these technologies, big data has gained significant traction. This concept is …

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AWS Machine Learning Blog

DECEMBER 4, 2024

Businesses are under pressure to show return on investment (ROI) from AI use cases, whether predictive machine learning (ML) or generative AI. Only 54% of ML prototypes make it to production, and only 5% of generative AI use cases make it to production. This post is cowritten with Isaac Cameron and Alex Gnibus from Tecton.

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Alation

MAY 16, 2023

But with the sheer amount of data continually increasing, how can a business make sense of it? Robust data pipelines. What is a Data Pipeline? A data pipeline is a series of processing steps that move data from its source to its destination. The answer?

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Dataconomy

FEBRUARY 21, 2024

Groq AI, a pioneering company in the AI chip industry, is setting the stage for a significant shift in how we perceive artificial intelligence processing power. What is Groq AI? This level of performance not only demonstrates Groq AI’s impressive speed but also its precision and depth in generating AI content.

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Data Science Dojo

APRIL 16, 2024

Thus, AI jobs are a promising career choice in today’s world. As AI integrates into everything from healthcare to finance, new professions are emerging, demanding specialists to develop, manage, and maintain these intelligent systems. They consistently rank among the highest-paid AI professionals.

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Pickl AI

JULY 8, 2024

Summary: This blog explains how to build efficient data pipelines, detailing each step from data collection to final delivery. Introduction Data pipelines play a pivotal role in modern data architecture by seamlessly transporting and transforming raw data into valuable insights.

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AWS Machine Learning Blog

NOVEMBER 26, 2024

AWS AI chips, Trainium and Inferentia, enable you to build and deploy generative AI models at higher performance and lower cost. The Datadog dashboard offers a detailed view of your AWS AI chip (Trainium or Inferentia) performance, such as the number of instances, availability, and AWS Region.

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Precisely

FEBRUARY 20, 2025

Key Takeaways Trusted data is critical for AI success. Data integration ensures your AI initiatives are fueled by complete, relevant, and real-time enterprise data, minimizing errors and unreliable outcomes that could harm your business. Data integration solves key business challenges.

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Data Science Dojo

OCTOBER 2, 2023

This can be useful for data scientists who need to streamline their data science pipeline or automate repetitive tasks. From computational capabilities to code interpretation and automation, ChatGPT is now a versatile tool spanning data science, coding, academic research, and workflow automation.

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AWS Machine Learning Blog

FEBRUARY 1, 2024

Resilience plays a pivotal role in the development of any workload, and generative AI workloads are no different. There are unique considerations when engineering generative AI workloads through a resilience lens. In this post, we discuss the different stacks of a generative AI workload and what those considerations should be.

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insideBIGDATA

MARCH 4, 2024

Hammerspace, the company orchestrating the Next Data Cycle, unveiled the high-performance NAS architecture needed to address the requirements of broad-based enterprise AI, machine learning and deep learning (AI/ML/DL) initiatives and the widespread rise of GPU computing both on-premises and in the cloud.

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Applied Data Science

AUGUST 2, 2021

This post is a bitesize walk-through of the 2021 Executive Guide to Data Science and AI  — a white paper packed with up-to-date advice for any CIO or CDO looking to deliver real value through data. Automation Automating data pipelines and models ➡️ 6. Download the free, unabridged version here.

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DataRobot Blog

DECEMBER 6, 2022

These data science teams are seeing tremendous results—millions of dollars saved, new customers acquired, and new innovations that create a competitive advantage. Other organizations are just discovering how to apply AI to accelerate experimentation time frames and find the best models to produce results. Read the blog. Read the blog.

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Towards AI

MAY 30, 2024

Last Updated on June 3, 2024 by Editorial Team Author(s): Towards AI Editorial Team Originally published on Towards AI. If you’ve enjoyed the list of courses at Gen AI 360, wait for this… Today, I am super excited to finally announce that we at towards_AI have released our first book: Building LLMs for Production.

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Data Science Connect

JULY 22, 2024

Matillion offers a Data Productivity Cloud platform for building and managing data pipelines, enabling AI and analytics at scale. It provides no-code and high-code options for data transformation, real-time data integration, and automation of data workflows.

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Pickl AI

DECEMBER 26, 2024

AI, serverless computing, and edge technologies redefine cloud-based Data Science workflows. GCPs Vertex AI enables scalable AI development and deployment with integrated tools for Big Data Analytics. Key Features Tailored for Data Science These platforms offer specialised features to enhance productivity.

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IBM Journey to AI blog

FEBRUARY 2, 2024

Almost a year ago, IBM encountered a data validation issue during one of our time-sensitive mergers and acquisitions data flows. These changes impact workflows, which in turn affect downstream data pipeline processing, leading to a ripple effect.

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Flipboard

SEPTEMBER 25, 2023

The companies include: Talc AI, a service for assessing large language models. Watto AI, an AI program that generates consulting reports. Neum AI, a platform designed to assist companies in maintaining the relevancy of their AI applications with the latest data. Talc AI Talc.ai

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Flipboard

APRIL 13, 2023

Truveta Photos) Healthcare data holds great potential to improve medicine, but mining it is not easy. To get to the gold, Truveta built a large AI-powered model to crunch through medical texts from more than 20,000 clinics and 700 hospitals. Last fall, Truveta also unveiled Truveta Studio , an interface into real-time patient data.

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Iguazio

JULY 22, 2024

AI and generative Al can lead to major enterprise advancements and productivity gains. One popular gen AI use case is customer service and personalization. Gen AI chatbots have quickly transformed the way that customers interact with organizations. Another less obvious use case is fraud detection and prevention.

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IBM Journey to AI blog

MARCH 4, 2024

We have all been witnessing the transformative power of generative artificial intelligence (AI), with the promise to reshape all aspects of human society and commerce while companies simultaneously grapple with acute business imperatives. We refer to this transformation as becoming an AI+ enterprise.

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IBM Journey to AI blog

OCTOBER 22, 2024

Data is the differentiator as business leaders look to utilize their competitive edge as they implement generative AI (gen AI). Leaders feel the pressure to infuse their processes with artificial intelligence (AI) and are looking for ways to harness the insights in their data platforms to fuel this movement.

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AWS Machine Learning Blog

OCTOBER 24, 2024

SageMaker Canvas integration with Amazon Redshift provides a unified environment for building and deploying machine learning models, allowing you to focus on creating value with your data rather than focusing on the technical details of building data pipelines or ML algorithms. His interests are in all things data and analytics.

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IBM Data Science in Practice

MARCH 8, 2023

The United States published a Blueprint for the AI Bill of Rights. The growth of the AI and Machine Learning (ML) industry has continued to grow at a rapid rate over recent years. Source: A Chat with Andrew on MLOps: From Model-centric to Data-centric AI So how does this data-centric approach fit in with Machine Learning? — Features

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AWS Machine Learning Blog

MARCH 14, 2024

Generative artificial intelligence (generative AI) has enabled new possibilities for building intelligent systems. Recent improvements in Generative AI based large language models (LLMs) have enabled their use in a variety of applications surrounding information retrieval.

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