Cassie Kozyrkov

APRIL 20, 2023

Hint: today’s AI revolution isn’t really about AI… it’s about UX Continue reading on Medium »

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Smart Data Collective

APRIL 17, 2023

In the past, large data sets about consumers were far more difficult to come by. For small businesses and agencies, this meant being at a significant disadvantage to larger businesses and corporations that could afford to conduct large-scale research. Today, however, this is far from the case and consumer data is more available than it ever has been before.

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KDnuggets

APRIL 19, 2023

We will be focusing on statistics, core data science concepts, NLP, prompt engineering, data science portfolio, interview preparation, and AIOps.

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insideBIGDATA

APRIL 20, 2023

Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.

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Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

Analytics

Analytics Vidhya

APRIL 15, 2023

A fully autonomous AI agent called AgentGPT is gaining popularity in the field of generative AI models. Based on AutoGPT initiatives like ChaosGPT, this tool enables users to specify a name and an objective for the AI to accomplish by breaking it down into smaller tasks. AgentGPT is a no-code, browser-based solution that makes AI […] The post Meet AgentGPT, an AI That Can Create Chatbots, Automate Things, and More!

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Adrian Bridgwater for Forbes

APRIL 19, 2023

We all engage with digital machines throughout the normal course of our working lives - and, for that matter, as an integral part of our leisure time when we’re trying to wind down.

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insideBIGDATA

APRIL 17, 2023

The team here at insideBIGDATA is deeply entrenched in keeping the pulse of the big data ecosystem of companies from around the globe. We’re in close contact with the movers and shakers making waves in the technology areas of big data, data science, machine learning, AI and deep learning. Our in-box is filled each day with new announcements, commentaries, and insights about what’s driving the success of our industry so we’re in a unique position to publish our quarterly IMPACT 50 List.

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Analytics Vidhya

APRIL 19, 2023

Introduction Technologies like machine learning and artificial intelligence have become the talk of the town because of their applicability across organizations of all sizes and domains; and their ability to automate the most complex tasks. It was only in the reinvention of backpropagation in the mid-1980s that they were deemed successful sheerly because of the […] The post Why Learn No Code Machine Learning in 2023?

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databricks

APRIL 20, 2023

Background and Motives Deep Learning algorithms are complex and time consuming to train, but are quickly moving from the lab to production because.

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KDnuggets

APRIL 17, 2023

Learn the basics of Web Scraping and its Python implementation. Also, get to know about the various methods of Beautiful Soup library.

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Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

AI

insideBIGDATA

APRIL 21, 2023

In this special guest feature, Robert Duffner, digital portfolio leader for NTT DATA's Enterprise Application Services, outlines what hyperautomation is and how to determine if it is a fit for your organization.

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Analytics Vidhya

APRIL 17, 2023

The US Department of Justice (DOJ) has recently asserted that Google’s monopoly in the tech industry may have delayed the development of innovations like ChatGPT. This statement brings attention to the growing concerns regarding the market dominance of tech giants and the potential repercussions of technological advancements and competition. The DOJ’s Findings on Google’s Monopoly […] The post Google’s Monopoly Hindered Innovations Like ChatGPT: US Department of Jus

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databricks

APRIL 17, 2023

With all the incredible progress being made in the space of Large Language Models, customers have asked us how they can enable their.

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KDnuggets

APRIL 21, 2023

Dolly 2.0 was trained on a human-generated dataset of prompts and responses. The training methodology is similar to InstructGPT but with a claimed higher accuracy and lower training costs of less than $30.

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Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives

Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri

AI

insideBIGDATA

APRIL 21, 2023

Read this white paper, "Investing in AI Infrastructure," from our friends over at IDC and Supermicro that explores how to scale AI infrastructure effectively, without sacrificing cost efficiency.

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Analytics Vidhya

APRIL 16, 2023

Microsoft has announced its plans to integrate ChatGPT, one of the most advanced language models, into Windows 10 and 11 via PowerToys, its open-source tool. The integration will allow users to interact with the language model in natural language, including asking questions and receiving responses. This move comes after the recent announcement of the taskbar […] The post Microsoft Integrates ChatGPT into Windows OS for Enhanced AI Experience appeared first on Analytics Vidhya.

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databricks

APRIL 17, 2023

With over 13 million monthly downloads, MLflow has established itself as the premier platform for end-to-end MLOps, empowering teams of all sizes to.

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KDnuggets

APRIL 19, 2023

Use simple UI to experiment with various renowned large language models.

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Speaker: Frank Taliano

Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.

AI

insideBIGDATA

APRIL 19, 2023

Comet, a leading platform for managing, visualizing and optimizing models - from training runs to production monitoring, announced a new suite of tools designed to revolutionize the workflow surrounding Large Language Models (LLMs).

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Analytics Vidhya

APRIL 19, 2023

Meta AI has announced the launch of DinoV2, an open-source, self-supervised learning model. It is a vision transformer model for computer vision tasks, built upon the success of its predecessor, DINO. The innovative model delivers robust performance and does not require fine-tuning, setting it apart from other similar models, such as CLIP. Also Read: Microsoft […] The post DinoV2: Most Advanced Self-Taught Vision Model by Meta appeared first on Analytics Vidhya.

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databricks

APRIL 18, 2023

We are thrilled to announce the public preview of Databricks Connect "v2", which enables developers to use the power of Databricks from any.

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KDnuggets

APRIL 17, 2023

KDnuggets and NVIDIA are announcing a blog-writing contest with a GPU focus, with the winner receiving an RTX 3080 Ti GPU!

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Speaker: Chris Townsend, VP of Product Marketing, Wellspring

Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?

insideBIGDATA

APRIL 17, 2023

In this special guest feature, CTO of AI startup, OctoML, Jared Roesch, believes the result of the commoditization of models is that it will fuel AI-Native experiences that transform how we interact with technology at every level.

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Analytics Vidhya

APRIL 21, 2023

AI has become a teacher, guide, friend and even more to people worldwide. Holding answers to almost every question and the ability to ‘think’, it has astonishingly even passed multiple exams curated to identify the human mindset and thought process. The AI revolution is here! But will it last, or will another human innovation tread […] The post This is How Experts Predict the Future of AI appeared first on Analytics Vidhya.

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databricks

APRIL 18, 2023

Last year Spark Connect was introduced at the Data and AI Summit. As part of the recently released Apache SparkTM 3.4, Spark Connect.

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KDnuggets

APRIL 20, 2023

The base rate fallacy is the importance of considering all relevant data.

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Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

insideBIGDATA

APRIL 19, 2023

In this contributed article, Dr. Oleg Bess, practicing physician and CEO of 4medica, discusses how machine learning is doing great things in medicine, including improving medical diagnosis and drug manufacturing. It’s also improving healthcare in another way that doesn’t earn headlines but is at the core of care delivery: eliminating duplicate patient records, and providing high-quality data for patients and providers.

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Analytics Vidhya

APRIL 19, 2023

OpenAI, the tech startup known for developing the cutting-edge natural language processing algorithm ChatGPT, has warned that the research strategy that led to the development of the AI model has reached its limits. The OpenAI’s CEO, Sam Altman, said during an event held at the Massachusetts Institute of Technology that future advances would no longer […] The post The End of the Giant AI Models Era: OpenAI CEO Warns Scaling Era Is Over appeared first on Analytics Vidhya.

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Adrian Bridgwater for Forbes

APRIL 20, 2023

When we fail to ‘look after’ software systems - open source projects in particular - they deteriorate in terms of their ability to connect and integrate, to be robust enough to fend off malicious attacks, to align to current device form factors and to provide the core functionality which they wer.

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KDnuggets

APRIL 17, 2023

Introducing the new fully autonomous task manager that can create, track and prioritize your company's projects using artificial intelligence.

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Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!