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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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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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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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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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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ODSC - Open Data Science

DECEMBER 14, 2023

Using Guardrails for Trustworthy AI, Projected AI Trends for 2024, and the Top Remote AI Jobs in 2024 How to Use Guardrails to Design Safe and Trustworthy AI In this article, you’ll get a better understanding of guardrails within the context of this post and how to set them at each stage of AI design and development.

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ODSC - Open Data Science

DECEMBER 19, 2023

The field of artificial intelligence is growing rapidly and with it the demand for professionals who have tangible experience in AI and AI-powered tools. A recent study by Gartner predicts that the global AI market will grow from $15.7 So let’s check out some of the top remote AI jobs for pros to look out for in 2024.

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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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ODSC - Open Data Science

OCTOBER 15, 2023

Here is the second half of our two-part series of companies changing the face of AI. AI is quickly scaling through dozens of industries as companies, non-profits, and governments are discovering the power of artificial intelligence. The platform includes several features that make it easy to develop and test data pipelines.

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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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Iguazio

FEBRUARY 20, 2024

Gen AI is quickly reshaping industries, and the pace of innovation is incredible to witness. While building gen AI application pilots is fairly straightforward, scaling them to production-ready, customer-facing implementations is a novel challenge for enterprises, and especially for the financial services sector.

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ODSC - Open Data Science

MAY 9, 2024

With 2024 surging along, the world of AI and the landscape being created by large language models continues to evolve in a dynamic manner. This is introducing an array of powerful new tools that are shaping the way multitudes of professionals in a diverse range of industries are working with AI. Well, then check out Cosmopedia.

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AWS Machine Learning Blog

FEBRUARY 1, 2024

Data is the foundation to capturing the maximum value from AI technology and solving business problems quickly. To unlock the potential of generative AI technologies, however, there’s a key prerequisite: your data needs to be appropriately prepared.

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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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ODSC - Open Data Science

JANUARY 2, 2024

We couldn’t be more excited to announce two events that will be co-located with ODSC East in Boston this April: The Data Engineering Summit and the Ai X Innovation Summit. Data Engineering Summit Our second annual Data Engineering Summit will be in-person for the first time! Learn more about them below. Why not both?

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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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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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AWS Machine Learning Blog

FEBRUARY 24, 2023

Solution overview In brief, the solution involved building three pipelines: Data pipeline – Extracts the metadata of the images Machine learning pipeline – Classifies and labels images Human-in-the-loop review pipeline – Uses a human team to review results The following diagram illustrates the solution architecture.

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IBM Data Science in Practice

NOVEMBER 28, 2022

Implementing a data fabric architecture is the answer. What is a data fabric? Data fabric is defined by IBM as “an architecture that facilitates the end-to-end integration of various data pipelines and cloud environments through the use of intelligent and automated systems.”

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ODSC - Open Data Science

MAY 15, 2023

Enterprises spend an average of $15M annually on data & AI initiatives. Yet, last year, 90% of AI investments by enterprises saw zero return, according to VentureBeat. This means a lot of money and effort is going into advancing data & AI capabilities, but companies are still struggling to see the business value.

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The MLOps Blog

MARCH 15, 2023

In this post, you will learn about the 10 best data pipeline tools, their pros, cons, and pricing. A typical data pipeline involves the following steps or processes through which the data passes before being consumed by a downstream process, such as an ML model training process.

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IBM Journey to AI blog

APRIL 10, 2023

A well-designed data architecture should support business intelligence and analysis, automation, and AI—all of which can help organizations to quickly seize market opportunities, build customer value, drive major efficiencies, and respond to risks such as supply chain disruptions.

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phData

APRIL 5, 2024

With Document AI from the Snowflake Data Cloud , organizations can utilize the power of LLMs to automate the process of converting unstructured documents into organized tables with ease! In this blog, we’ll cover what the Document AI tool is, what use cases it solves, and how to integrate it with document processing pipelines.

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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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ODSC - Open Data Science

APRIL 4, 2024

Data Analytics in the Age of AI, When to Use RAG, Examples of Data Visualization with D3 and Vega, and ODSC East Selling Out Soon Data Analytics in the Age of AI Let’s explore the multifaceted ways in which AI is revolutionizing data analytics, making it more accessible, efficient, and insightful than ever before.

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Towards AI

MARCH 21, 2023

Last Updated on March 21, 2023 by Editorial Team Author(s): Data Science meets Cyber Security Originally published on Towards AI. Navigating the World of Data Engineering: A Beginner’s Guide. A GLIMPSE OF DATA ENGINEERING ❤ IMAGE SOURCE: BY AUTHOR Data or data? What are ETL and data pipelines?

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AWS Machine Learning Blog

DECEMBER 5, 2023

This post is written in collaboration with Balaji Chandrasekaran, Jennifer Cwagenberg and Andrew Sansom and Eiman Ebrahimi from Protopia AI. In their implementation of generative AI technology, enterprises have real concerns about data exposure and ownership of confidential information that may be sent to LLMs.

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IBM Journey to AI blog

OCTOBER 16, 2023

Artificial intelligence (AI) adoption is still in its early stages. As more businesses use AI systems and the technology continues to mature and change, improper use could expose a company to significant financial, operational, regulatory and reputational risks. ” Are foundation models trustworthy?

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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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Ocean Protocol

JANUARY 17, 2024

challenges - Conclusion Summary With Predictoor, you can run AI-powered prediction bots or trading bots on crypto price feeds to earn $. The repo provides starting-point predictoor bots, which gather historical CEX price data and build AI/ML models. The pdr-backend v0.2 flows - Challenges in v0.1

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Pickl AI

JULY 18, 2023

The AI domain is expanding and is actively penetrating across different business niches. Companies are actively deploying AI technologies to run their businesses smoothly. At the same time, they are also actively hiring professionals with AI expertise. Who is an AI Architect? from 2023 to 2030. Lakhs to ₹ 56.7

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IBM Journey to AI blog

AUGUST 23, 2023

The recent success of artificial intelligence based large language models has pushed the market to think more ambitiously about how AI could transform many enterprise processes. However, consumers and regulators have also become increasingly concerned with the safety of both their data and the AI models themselves.

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Heartbeat

JANUARY 5, 2024

Introduction to LangChain for Including AI from Large Language Models (LLMs) Inside Data Applications and Data Pipelines This article will provide an overview of LangChain, the problems it addresses, its use cases, and some of its limitations. Python : Great for including AI in Python-based software or data pipelines.

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DagsHub

SEPTEMBER 10, 2023

Join us for a month-long celebration of open-source contributions to Machine Learning and AI projects. Gain hands-on experience building datasets, models, pipelines, and more! Intermediate Data Pipeline : Build data pipelines using DVC for automation and versioning of Open Source Machine Learning projects.

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ODSC - Open Data Science

FEBRUARY 17, 2023

Natural language processing (NLP) has been growing in awareness over the last few years, and with the popularity of ChatGPT and GPT-3 in 2022, NLP is now on the top of peoples’ minds when it comes to AI. Companies are finding NLP to be one of the best applications of AI regardless of industry.

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O'Reilly Media

SEPTEMBER 15, 2021

In June 2021, we asked the recipients of our Data & AI Newsletter to respond to a survey about compensation. The average salary for data and AI professionals who responded to the survey was $146,000. The results are biased by the survey’s recipients (subscribers to O’Reilly’s Data & AI Newsletter ).

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Pickl AI

OCTOBER 11, 2023

What is Data Observability? It is the practice of monitoring, tracking, and ensuring data quality, reliability, and performance as it moves through an organization’s data pipelines and systems. Data quality tools help maintain high data quality standards. Tools Used in Data Observability?

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