September, 2022

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How is Big Data Helping in the Development of Healthcare?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction “Big data in healthcare” refers to much health data collected from many sources, including electronic health records (EHRs), medical imaging, genomic sequencing, wearables, payer records, medical devices, and pharmaceutical research. Its characteristics distinguish it from traditional electronic medical and human health data […].

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MLOps Helps Mitigate the Unforeseen in AI Projects

DataRobot Blog

The latest McKinsey Global Survey on AI proves that AI adoption continues to grow and that the benefits remain significant. But in the COVID-19 pandemic’s first year, many felt more strongly about the cost-savings front than the top line. At the same time, AI remains complex and out of reach for many. For example, a recent IDC study 1 shows that it takes about 290 days on average to deploy a model into production from start to finish.

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RecSys 2022 Keynote - Is the Juice Worth the Squeeze?

Eugene Yan

Invited keynote at the Workshop for Online Recommender Systems and User Modeling (ORSUM)

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Keeping Learning-Based Control Safe by Regulating Distributional Shift

BAIR

To regulate the distribution shift experience by learning-based controllers, we seek a mechanism for constraining the agent to regions of high data density throughout its trajectory (left). Here, we present an approach which achieves this goal by combining features of density models (middle) and Lyapunov functions (right). In order to make use of machine learning and reinforcement learning in controlling real world systems, we must design algorithms which not only achieve good performance, but a

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Usage-Based Monetization Musts: A Roadmap for Sustainable Revenue Growth

Speaker: David Warren and Kevin O'Neill Stoll

Transitioning to a usage-based business model offers powerful growth opportunities but comes with unique challenges. How do you validate strategies, reduce risks, and ensure alignment with customer value? Join us for a deep dive into designing effective pilots that test the waters and drive success in usage-based revenue. Discover how to develop a pilot that captures real customer feedback, aligns internal teams with usage metrics, and rethinks sales incentives to prioritize lasting customer eng

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DALL·E Now Available Without Waitlist

OpenAI

New users can start creating straight away. Lessons learned from deployment and improvements to our safety systems make wider availability possible. Sign up Starting today, we are removing the waitlist for the DALL·E beta so users can sign up and start using it immediately. More than 1.5M users are now actively creating over 2M images a day with DALL·E—from artists and creative directors to authors and architects—with over 100K users sharing their creations and feedback i

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Underlying Engineering Behind Alexa’s Contextual ASR

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Conventionally, an automatic speech recognition (ASR) system leverages a single statistical language model to rectify ambiguities, regardless of context. However, we can improve the system’s accuracy by leveraging contextual information. Any type of contextual information, like device context, conversational context, and metadata, […].

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My family’s unlikely homeschooling journey

fast.ai

My husband Jeremy and I never intended to homeschool, and yet we have now, unexpectedly, committed to homeschooling long-term. Prior to the pandemic, we both worked full-time in careers that we loved and found meaningful, and we sent our daughter to a full-day Montessori school. Although I struggled with significant health issues, I felt unbelievably lucky and fulfilled in both my family life and my professional life.

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Writing Robust Tests for Data & Machine Learning Pipelines

Eugene Yan

Or why I should write fewer integration tests.

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How Model Observability Provides a 360° View of Models in Production

DataRobot Blog

How do you track the integrity of a machine learning model in production? Model Observability can help. By tracking service, drift, prediction data, training data, and custom metrics, you can keep your models and predictions relevant in a fast-changing world. Tracking integrity is important: more than 84% of data scientists do not trust the model once it is in production.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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DALL·E now available without waitlist

OpenAI

New users can start creating straight away. Lessons learned from deployment and improvements to our safety systems make wider availability possible.

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In conversation with AI: building better language models

DeepMind

Our new paper, In conversation with AI: aligning language models with human values, explores a different approach, asking what successful communication between humans and an artificial conversational agent might look like and what values should guide conversation in these contexts.

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Blockchain Technology and its Types

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Blockchain technology is a decentralized, distributed ledger that keeps a record of ownership of digital assets. Any data stored on the blockchain cannot be modified, making the technology a legitimate disruptor for payments, cybersecurity, and healthcare industries. Blockchain is a system of registering […].

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Deep Learning Foundations Signup, Open Source Scholarships, & More

fast.ai

Signups might not be available any more. If you are able to do a late signup, note that you may miss doing the first lesson live (although you can watch the recording.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Seven Reasons why Human Evaluation of your Text-to-Speech Projects is Important

Defined.ai blog

To claim that Text-to-Speech (TTS) technology is transforming the way users communicate with mobile-enabled handheld devices and smart assistants is more of an understatement than an assertion these days. TTS technology is on the rise, finding increasing adoption across a multitude of applications such as reading prescription labels out loud, allowing static content—such as e-books, website content, PDFs, and other training documents and manuals—to come to life, providing personalized messages t

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Enterprise Strategy Group (ESG) Predicts DataRobot Can Provide a 3.5–4.6X Expected ROI

DataRobot Blog

A new economic validation report shows the DataRobot AI Cloud platform can transform data science initiatives with a 3.5x to 4.6x return on investment. The new findings from industry analyst ESG, The Economic Benefits of DataRobot AI Cloud , detail how ESG models predict improved operational efficiencies, reduced risk, and improves business outcomes with the DataRobot platform for artificial intelligence and machine learning.

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Introducing Whisper

OpenAI

We’ve trained and are open-sourcing a neural net called Whisper that approaches human level robustness and accuracy on English speech recognition.

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Fighting osteoporosis before it starts

DeepMind

Right now, medicine is too dependent on radiographic imaging techniques for diagnosing osteoporosis. It can be a debilitating disease that develops slowly over several years, weakening bones and.

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From Diagnosis to Delivery: How AI is Revolutionizing the Patient Experience

Speaker: Simran Kaur, Founder & CEO at Tattva Health Inc.

The healthcare landscape is being revolutionized by AI and cutting-edge digital technologies, reshaping how patients receive care and interact with providers. In this webinar led by Simran Kaur, we will explore how AI-driven solutions are enhancing patient communication, improving care quality, and empowering preventive and predictive medicine. You'll also learn how AI is streamlining healthcare processes, helping providers offer more efficient, personalized care and enabling faster, data-driven

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Get to Know All About Evaluation Metrics

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Evaluation metrics are used to measure the quality of the model. Selecting an appropriate evaluation metric is important because it can impact your selection of a model or decide whether to put your model into production. The mportance of cross-validation: Are evaluation metrics […].

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From Deep Learning Foundations to Stable Diffusion

fast.ai

Three years ago we pioneered Deep Learning from the Foundations , an in depth course that started right from the foundations—implementing and GPU-optimising matrix multiplications and initialisations—and covered from scratch implementations of all the key applications of the fastai library.

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Seven Reasons why Human Evaluation of your Text-to-Speech Projects is Important

Defined.ai blog

To claim that Text-to-Speech (TTS) technology is transforming the way users communicate with mobile-enabled handheld devices and smart assistants is more of an understatement than an assertion these days. TTS technology is on the rise, finding increasing adoption across a multitude of applications such as reading prescription labels out loud, allowing static content—such as e-books, website content, PDFs, and other training documents and manuals—to come to life, providing personalized messages t

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A Note from the CEO

DataRobot Blog

Today, I’m humbled and excited to share that I’m officially taking on the role of Chief Executive Officer at DataRobot. We recently celebrated the ten-year anniversary of DataRobot. And for a decade, we have set a pace of unmatched innovation in the market. From pioneering AutoML , to launching the first Time Series functionality and the most comprehensive model monitoring capabilities in the industry, to introducing the AI Cloud platform just last year, we have been singularly focused on innova

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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3 Strategic Mistakes Leaders Can Easily Avoid When Thinking About AI Integration

Kavita Ganesan

Several years ago, a product manager at a tech company had a data collection problem : to scrape software security vulnerability data from multiple web sources, consolidate the vulnerabilities and store them in a database. As this was an automation problem relating to data, the product manager (PM) immediately concluded that this was a machine learning problem.

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Fighting osteoporosis before it starts

DeepMind

Right now, medicine is too dependent on radiographic imaging techniques for diagnosing osteoporosis. It can be a debilitating disease that develops slowly over several years, weakening bones and rendering them dangerously fragile. Such diagnostic radiographic tools have their own limitations, detecting osteoporosis only once it has already developed.

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Basic Concept Behind Apache Hive and Elasticsearch

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction I’ve always wondered how big companies like Google process their information or how companies like Netflix can perform searches in concise times. That’s why I want to tell you about my experience with two powerful tools they use: Apache Hive and Elasticsearch. […].

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AI Rapper Turns Out To Be A Racist

Dlabs.ai

They say music unites people. But who would have thought that this time, the lyrics that connected listeners were actually written by racist artificial intelligence? Read on for the full story, alongside other AI news like stress-reducing rings and a robot that can understand your needs. It’s all in the latest edition of InsideAI… Let’s go! AI Rapper Loses Contract Through Racism Capital Records recently signed a contract with FN Meka: an ‘AI rapper’ built in 2019 by the music label Factory N

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The Tumultuous IT Landscape Is Making Hiring More Difficult

After a year of sporadic hiring and uncertain investment areas, tech leaders are scrambling to figure out what’s next. This whitepaper reveals how tech leaders are hiring and investing for the future. Download today to learn more!

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Machine Learning Essentials: What is Data Annotation?

Defined.ai blog

Data annotation helps machines make sense of text, video, image or audio data. One of the stand-out characteristics of Artificial Intelligence (AI) is its ability to learn, for better or for worse. It’s this ongoing effort that distinguishes AI from static, code-dependent software. It’s also precisely this ability that makes high-quality annotated data a crucial element in training representative, successful, and bias-free AI models.

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What Do Data Scientists Do? A Guide to AI Maturity, Challenges, and Solutions

DataRobot Blog

The future of business depends on artificial intelligence and machine learning. According to IDC , 83% of CEOs want their organizations to be more data-driven. 87% of CXOs shared that becoming an intelligent enterprise was their top priority. Data scientists could be your key to unlocking the potential of the Information Revolution—but what do data scientists do?

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? spacy-experimental v0.6.0

Explosion

new coreference components (#17) This release includes an experimental English coref pipeline. You can install the pipeline by downloading it from the assets in this release page, or install it di.

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