Analytics Vidhya

APRIL 9, 2023

Predicting the future using Artificial Intelligence (AI), data analytics, and machine learning (ML).

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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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Analytics Vidhya

DECEMBER 28, 2022

Introduction Though machine learning isn’t a relatively new concept, organizations are increasingly switching to big data and ML models to unleash hidden insights from data, scale their operations better, and predict and confront any underlying business challenges.

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Analytics Vidhya

OCTOBER 14, 2020

Overview Learn about the integration capabilities of Power BI with Azure Machine Learning (ML) Understand how to deploy machine learning models in a production. The post The Power of Azure ML and Power BI: Dataflows and Model Deployment appeared first on Analytics Vidhya.

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insideBIGDATA

APRIL 25, 2023

This checklist from our friends over at Arize covers the essential elements to consider when evaluating an ML observability platform. Whether you’re readying an RFP or assessing individual platforms, this buyer’s guide can help with product and technical requirements to consider across a number of areas discussed in this useful resource.

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insideBIGDATA

NOVEMBER 9, 2023

Our friends over at Sama recently published a comprehensive report on the potential and challenges of AI as reported by Machine Learning professionals.

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insideBIGDATA

APRIL 22, 2023

The company surveyed more than 1,600 executives and ML practitioners to uncover what’s working, what’s not, and the best practices for organizations to deploy AI for real business impact. Our friends over at Scale are excited to introduce the 2nd edition of Scale Zeitgeist: AI Readiness Report!

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insideBIGDATA

FEBRUARY 23, 2023

It’s a wonderful learning resource for tree-based techniques in statistical learning, one that’s become my go-to text when I find the need to do a deep dive into various ML topic areas for my work. The methods […]

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Analytics Vidhya

JUNE 9, 2022

This article was published as a part of the Data Science Blogathon. Introduction to Pyspark Spark is an open-source framework for big data processing. It was originally written in scala and later on due to increasing demand for machine learning using big data a python API of the same was released.

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insideBIGDATA

DECEMBER 30, 2023

They bring human experts into the loop to view how the ML performed on a set of data. The expert learns which types of data the machine-learning system typically classifies correctly, and which data types lead to confusion and system errors.

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Women in Big Data

APRIL 4, 2025

Women in Big Data and LinkedIn hosted an empowering event The Responsible AI at Scale in LinkedIn HQ in Sunnyvale, CA on March 13 th , 2025, for people passionate about ethics, transparency and shaping the AI technologies of the future. I cant wait for the next Women in Big Data event!

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Analytics Vidhya

APRIL 12, 2022

This article was published as a part of the Data Science Blogathon. Introduction In the last article, we discussed Apache Spark and the big data ecosystem, and we discussed the role of apache spark in data processing in big data. If you haven’t read it yet, you can find it on this page.

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insideBIGDATA

MAY 28, 2023

iMerit, a leading artificial intelligence (AI) data solutions company, released its 2023 State of ML Ops report, which includes a study outlining the impact of data on wide-scale commercial-ready AI projects.

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insideBIGDATA

JULY 21, 2023

In this video presentation, Aleksa Gordić explains what it takes to scale ML models up to trillions of parameters! He covers the fundamental ideas behind all of the recent big ML models like Meta's OPT-175B, BigScience BLOOM 176B, EleutherAI's GPT-NeoX-20B, GPT-J, OpenAI's GPT-3, Google's PaLM, DeepMind's Chinchilla/Gopher models, etc.

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insideBIGDATA

FEBRUARY 4, 2023

Comet, provider of a leading MLOps platform for machine learning (ML) teams from startup to enterprise, announced its second annual Convergence conference. The event, which is free to the ML community, will take place virtually March 7-8, 2023.

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Smart Data Collective

OCTOBER 20, 2021

Organizations must adopt transformative technologies like Artificial Intelligence (AI) and Machine Learning (ML) to harness the true potential of data, drive decision making, and ultimately improve ease of doing business. Why is Data Integration a Challenge for Enterprises?

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Smart Data Collective

JANUARY 27, 2022

Did you know that big data consumption increased 5,000% between 2010 and 2020 ? Big data technology is changing countless aspects of our lives. A growing number of careers are predicated on the use of data analytics, AI and similar technologies. This should come as no surprise. Genetic Engineer. Food Technologist.

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IBM Journey to AI blog

AUGUST 12, 2024

Driven by significant advancements in computing technology, everything from mobile phones to smart appliances to mass transit systems generate and digest data, creating a big data landscape that forward-thinking enterprises can leverage to drive innovation. However, the big data landscape is just that.

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Flipboard

APRIL 13, 2023

The post How AI and ML are changing software engineering appeared first on TechRepublic. Current machine learning models that are designed to generate code will enhance developer productivity, according to this Gartner analyst.

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Data Science Dojo

JANUARY 13, 2023

The conference brings together business leaders, data analysts, and technology professionals to discuss the latest trends and innovations in data and analytics, and how they can be applied to drive business success. The conference takes place annually in Santa Clara, California, United States.

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insideBIGDATA

MARCH 25, 2023

The advancements made in recent years in generative adversarial networks (GANs) allow us to leverage the benefits of generating synthetic data for a wide range of machine learning (ML) applications.

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Towards AI

SEPTEMBER 9, 2024

AI and Big Data Expo Europe, the premier event for AI and Big Data enthusiasts, innovators, and industry leaders, is just over one month away. Unmatched Networking Opportunities: With over 7,000 attendees expected, the AI and Big Data Expo offers unparalleled opportunities for networking.

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insideBIGDATA

AUGUST 8, 2023

NetSPI, the global leader in offensive security, today debuted its ML/AI Pentesting solution to bring a more holistic and proactive approach to safeguarding machine learning model implementations.

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Dataconomy

MAY 22, 2023

This scalability is particularly valuable in scenarios where real-time or near-real-time predictions are needed or when dealing with large-scale datasets, such as those encountered in big data applications. What is distributed learning?

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Analytics Vidhya

FEBRUARY 24, 2023

Introduction Are you interested in learning about Apache Spark and how it has transformed big data processing? Whatever your interests, Analytics Vidhya’s DataHour sessions have got you […] The post DataHour: Your Free Gateway to the World of Data Science and Technology appeared first on Analytics Vidhya.

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Flipboard

NOVEMBER 24, 2023

With that, the need for data scientists and machine learning (ML) engineers has grown significantly. Data scientists and ML engineers require capable tooling and sufficient compute for their work. Data scientists and ML engineers require capable tooling and sufficient compute for their work.

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insideBIGDATA

MAY 2, 2023

By understanding key concepts of machine learning (ML), organizations can ensure greater equity in AI outputs. In this special guest feature, Ilya Gerner, Director of Compliance Strategy for GCOM, explains why bias can be an issue when using artificial intelligence (AI) for fraud detection.

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Flipboard

NOVEMBER 26, 2023

Amazon Redshift ML empowers data analysts and database developers to integrate the capabilities of machine learning and artificial intelligence into …

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Flipboard

OCTOBER 25, 2023

After decades of digitizing everything in your enterprise, you may have an enormous amount of data, but with dormant value. However, with the help of AI and machine learning (ML), new software tools are now available to unearth the value of unstructured data.

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insideBIGDATA

JULY 27, 2023

Powering solutions from within both the public platform and its market-leading SaaS product, Stack Overflow for Teams, these AI/ML solutions will offer users a series of new capabilities that will ensure they get to solutions faster within their workflow.

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insideBIGDATA

OCTOBER 14, 2023

A recent survey of data scientists and engineers revealed that over half (53.3%) of today’s machine learning (ML) teams are planning on deploying a large language model (LLM) application of their own into production “within the next 12 months” or “as soon as possible”.

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insideBIGDATA

FEBRUARY 8, 2023

Civo, the cloud native service provider, has announced its new Machine Learning (ML) managed service, “Kubeflow as a Service” aimed at improving the developer experience and reducing the resources and time required to gain insights from ML algorithms.

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AWS Machine Learning Blog

OCTOBER 20, 2023

Customers of every size and industry are innovating on AWS by infusing machine learning (ML) into their products and services. Recent developments in generative AI models have further sped up the need of ML adoption across industries.

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insideBIGDATA

JULY 18, 2023

Splunk AI combines automation with human-in-the-loop experiences, so organizations can drive faster detection, investigation and response while controlling how AI is applied to their data.

Machine Learning 355

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Dataconomy

FEBRUARY 6, 2024

With the ability to analyze a vast amount of data in real-time, identify patterns, and detect anomalies, AI/ML-powered tools are enhancing the operational efficiency of businesses in the IT sector. Why does AI/ML deserve to be the future of the modern world? Let’s understand the crucial role of AI/ML in the tech industry.

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Data Science Dojo

OCTOBER 31, 2024

Growth Outlook: Companies like Google DeepMind, NASA’s Jet Propulsion Lab, and IBM Research actively seek research data scientists for their teams, with salaries typically ranging from $120,000 to $180,000. With the continuous growth in AI, demand for remote data science jobs is set to rise.

Data Science 195

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insideBIGDATA

MARCH 7, 2023

Databricks, the lakehouse company, announced the launch of Databricks Model Serving to provide simplified production machine learning (ML) natively within the Databricks Lakehouse Platform. Model Serving removes the complexity of building and maintaining complicated infrastructure for intelligent applications.

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