Tue.Jun 27, 2023

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Altair Global Survey Reveals Significant Opportunities to Improve Efficiency, Scale, and Success of Enterprise AI and Data Projects

insideBIGDATA

Altair (NASDAQ: ALTR), a global leader in computational science and artificial intelligence (AI), released results from an international survey which revealed high rates of adoption and implementation of organizational data and AI strategies globally. The survey also revealed that project successes suffer due to three main types of friction: organizational, technological, and financial.

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From Theory to Practice: Building a k-Nearest Neighbors Classifier

KDnuggets

The k-Nearest Neighbors Classifier is a machine learning algorithm that assigns a new data point to the most common class among its k closest neighbors. In this tutorial, you will learn the basic steps of building and applying this classifier in Python.

professionals

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Build A ChatGPT For YouTube Videos with Langchain

Analytics Vidhya

Introduction Have you ever wondered how good it would be to chat with a video? As a blog person myself, it often bores me to watch an hour-long video to find relevant information. Sometimes it feels like a job to watch a video to get any useful information out of it. So, I built a […] The post Build A ChatGPT For YouTube Videos with Langchain appeared first on Analytics Vidhya.

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Lakehouse AI: a data-centric approach to building Generative AI applications

databricks

Generative AI will have a transformative impact on every business. Databricks has been pioneering AI innovations for a decade, actively collaborating with thousands.

AI 279
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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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AI Technology to Revolutionize Patient Care

Analytics Vidhya

In an exciting development for the National Health Service (NHS), Henry Smith MP expressed his support for the government’s new £21 million fund to deploy cutting-edge artificial intelligence (AI) tools to enhance patient diagnosis and treatment. The Health & Social Care Secretary announced that the initiative aims to transform healthcare delivery, providing faster & more […] The post AI Technology to Revolutionize Patient Care appeared first on Analytics Vidhya.

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Cloudera Expands Open Data Lakehouse for Trusted Enterprise AI 

insideBIGDATA

Cloudera, the hybrid data company, announced today an expansion of its Open Data Lakehouse offerings enabling customers to have a foundation for analytic and AI capabilities in their enterprises for all their data - in the cloud and now on-premises. Cloudera was an early proponent of Apache Iceberg, introducing support in its CDP-Public Cloud offering last year and recently rolling out support for Iceberg V2.

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Introducing LakehouseIQ: The AI-Powered Engine that Uniquely Understands your Business

databricks

Today, we are thrilled to announce LakehouseIQ, a knowledge engine that learns the unique nuances of your business and data to power natural.

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Introducing AudioPaLM: Google’s Breakthrough in Language Models

Analytics Vidhya

In a significant development in the realm of generative AI, tech giant Google has unveiled AudioPaLM, a cutting-edge multimodal language model. This groundbreaking model combines the capabilities of Google’s large language model PaLM-2, introduced at Google I/O 2023, and their generative audio model AudioLM. AudioPaLM establishes an all-encompassing framework that seamlessly integrates text and spoken […] The post Introducing AudioPaLM: Google’s Breakthrough in Language Models

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Introducing Lakehouse Federation Capabilities in Unity Catalog

databricks

Data teams face many challenges to quickly access the right data primarily due to data fragmentation, time and cost involved in consolidating data.

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AI Excels at Detecting Mental Illness

Analytics Vidhya

Detecting delirium in critically ill patients is a complex task with significant implications for patient care and recovery. However, advancements in artificial intelligence (AI) and rapid-response electroencephalograms (EEGs) are transforming delirium detection. In a study published in Nature, scientists have leveraged the power of AI, accelerated by NVIDIA GPUs, to achieve remarkable accuracy rates in […] The post AI Excels at Detecting Mental Illness appeared first on Analytics Vidhya.

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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Why every employee should learn data science: The business case 101

Data Science Dojo

In today’s rapidly changing world, organizations need employees who can keep pace with the ever-growing demand for data analysis skills. With so much data available, there is a significant opportunity for organizations to harness the power of this data to improve decision-making, increase productivity, and enhance overall performance. In this blog post, we explore the business case for why every employee in an organization should learn data science.

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AI-Designed Drug Ready for Human Trials

Analytics Vidhya

A biotech company, Insilico Medicine, backed by Chinese conglomerate Fosun Group and private equity giant Warburg Pincus, has started one of the first mid-stage human trials of a drug discovered and designed entirely by artificial intelligence (AI). Insilico uses generative AI to select novel drug targets and design molecules that can target specific diseases.

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Unlocking the Power of Generative and Language AI

insideBIGDATA

In this contributed article, Amit Ben, co-founder & CEO of One AI, believes that overall, the future of both Generative AI and Language AI are full of promise. As technology continues to advance, we can expect to see continued growth and innovation in this field, with new applications and use cases emerging on a regular basis.

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Snowflake Forecasts New Flurry Of Data Programmability

Adrian Bridgwater for Forbes

We know that software application development professionals use code to create applications (also known as programs) that are programmed using a defined syntax and str.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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What’s new with Unity Catalog at Data and AI Summit 2023

databricks

The fundamental principles of governance – accountability, compliance, quality, and transparency – that are essential for data management have now become equally imperative for.

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Unveiling Midjourney 5.2: A Leap Forward in AI Image Generation

KDnuggets

Discover the latest advancements in AI image generation with Midjourney 5.2. This article provides an in-depth look at the new features and improvements, including the innovative 'Zoom Out' feature, 'Make Square' tool, and enhanced 'Stylize' command. Learn how these features are revolutionizing the field of AI artistry.

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Introducing Materialized Views and Streaming Tables for Databricks SQL

databricks

We are thrilled to announce that materialized views and streaming tables are now publicly available in Databricks SQL on AWS and Azure. Streaming.

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The Importance of Reproducibility in Machine Learning

KDnuggets

And how approaches to better data management, version control, and experiment tracking can help build reproducible ML pipelines.

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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How to conduct data research on the web

Dataconomy

If there’s one constant in the modern business world, it’s research. No matter your niche, it’s imperative to conduct data research online. After all, the internet contains data on prospective customers, competitors, and crucial industry trends. Online data research is more impactful than traditional research thanks to its ease of access, efficiency, and cost efficiency.

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Evolution of the Data Landscape

KDnuggets

The article follows the story of evolution in the data space through the lens of evolutionary patterns. It talks of the state of significant milestones in the evolutionary journey, their achievements, challenges, and the next milestone that solved those challenges. The article comes from both a business and technical perspective, owing to the persona of the authors.

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Databricks Announces 2023 Global Partner Awards

databricks

The Databricks Partner Ecosystem of over 2,000 partners globally are critical to building and delivering the best data and AI solutions in the.

AI 192
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Hygiene does not only protect you against physical viruses

Dataconomy

The number of individuals adapting to online life is increasing day by day and it has become essential to prioritize the practice of cyber hygiene for everyone. Cyber hygiene, which is often compared to personal hygiene, involves adopting certain simple yet effective measures to protect your personal information and keep your devices functioning smoothly.

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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

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NVIDIA H100 GPUs Set Standard for Generative AI in Debut MLPerf Benchmark 

Hacker News

Leading users and industry-standard benchmarks agree: NVIDIA H100 Tensor Core GPUs deliver the best AI performance, especially on the large language models ( LLMs ) powering generative AI. H100 GPUs set new records on all eight tests in the latest MLPerf training benchmarks released today, excelling on a new MLPerf test for generative AI. That excellence is delivered both per-accelerator and at-scale in massive servers.

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Five ways to start a successful e-commerce website

Dataconomy

Are you planning to start an e-commerce website? With the rise of online shopping, it’s a great time to launch your online store. However, building a successful e-commerce website requires more than just setting up a website and uploading products. E-commerce has become a booming industry in recent years, with more and more people choosing to shop online.

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Meet the robots attending the UN’s ‘AI for Good Global’ summit

Flipboard

Some of the world’s leading human and robot minds are heading to the United Nations. At a UN summit in Geneva next week, tech luminaries ranging from futurist Ray Kurzweil and DeepMind COO Lila Ibrahim will discuss AI for good.

AI 181
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LetMeSpy, a stalkerware app spying on thousands, says it was hacked

Hacker News

A hacker has stolen the messages, call logs and locations intercepted by a widely used phone monitoring app called LetMeSpy, according to the company that makes the spyware.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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5IDER: Unified Query Rewriting for Steering, Intent Carryover, Disfluencies, Entity Carryover and Repair

Machine Learning Research at Apple

*=Equal Contributors Providing voice assistants the ability to navigate multi-turn conversations is a challenging problem. Handling multi-turn interactions requires the system to understand various conversational use-cases, such as steering, intent carryover, disfluencies, entity carryover, and repair. The complexity of this problem is compounded by the fact that these use-cases mix with each other, often appearing simultaneously in natural language.

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What’s New with Data Sharing and Collaboration on the Lakehouse

databricks

Databricks provides the first open source approach to data sharing and collaboration across data, analytics, and AI. Customers can share live data sets.

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The Night 17 Million Precious Military Records Went Up in Smoke

Hacker News

Fifty years ago, a fire ripped through the National Personnel Records Center. It set off a massive project to save crucial pieces of American history—including, I hoped, my grandfather’s.

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Review: CodeWhisperer, Bard, and Copilot X

Flipboard

Amazon CodeWhisperer, Google Bard, and GitHub Copilot X plod through our AI pair programming challenge. Each tool has its strengths, and none of them are perfect.

AI 139
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How to Leverage AI for Actionable Insights in BI, Data, and Analytics

In the rapidly-evolving world of embedded analytics and business intelligence, one important question has emerged at the forefront: How can you leverage artificial intelligence (AI) to enhance your application’s analytics capabilities? Imagine having an AI tool that answers your user’s questions with a deep understanding of the context in their business and applications, nuances of their industry, and unique challenges they face.