Sat.Jun 24, 2023 - Fri.Jun 30, 2023

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Top 10 AI Influencers to Follow in 2023

Analytics Vidhya

Introduction In a world driven by cutting-edge technology and mind-boggling possibilities, keeping up with the ever-evolving realm of AI is both thrilling and essential. As we step into the promising year of 2023, it’s time to embark on an exhilarating journey through the minds of the most influential and visionary AI trailblazers. Buckle up and […] The post Top 10 AI Influencers to Follow in 2023 appeared first on Analytics Vidhya.

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Introducing English as the New Programming Language for Apache Spark

databricks

Introduction We are thrilled to unveil the English SDK for Apache Spark, a transformative tool designed to enrich your Spark experience. Apache Sparkā„¢.

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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.

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Databricks AI Assistant Offers ā€˜Cementedā€™ Business Knowledge

Adrian Bridgwater for Forbes

An AI LLM trained on open data has broad knowledge drawn from publicly available resources, but the definition of a ā€˜customerā€™ or ā€˜fiscal yearā€™ etc. always varies.

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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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Building Language Models: A Step-by-Step BERT Implementation Guide

Analytics Vidhya

Introduction Advances in machine learning models that process language have been rapid in the last few years. This progress has left the research lab and is beginning to power some leading digital products. A great example is the announcement that BERT models are now a significant force behind Google Search. Google believes that this move […] The post Building Language Models: A Step-by-Step BERT Implementation Guide 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.

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The synthetic data field guide

Cassie Kozyrkov

A guide to the various species of fake data: Part 2 Continue reading on Towards Data Science Ā»

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Using GANs in TensorFlow Generate Images

Analytics Vidhya

Introduction In this article, we explore the application of GANs in TensorFlow for generating unique renditions of handwritten digits. The GAN framework comprises two key components: the generator and the discriminator. The generator generates new images in a randomized manner, whereas the discriminator is designed to differentiate between authentic and counterfeit images.

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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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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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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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In Defence of DOMĀ­ContentĀ­Loaded

Hacker News

Honestly, I started writing this article, for no real reason and somewhat without context, in December 2022ā€”over half a year ago! But, I left it in _drafts/ until today, when a genuinely compelling scenario came up that gives real opportunity for explanation. It no longer feels like trivia-for-the-sake-of-it thanks to a recent client project. I never thought Iā€™d write an article in defence of DOMContentLoaded , but here it isā€¦ For many, many years now, performance engineers have been making a co

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OpenAIā€™s ChatGPT App Introduces Browsing Feature with Bing Integration

Analytics Vidhya

OpenAI, the leading AI research organization, has recently unveiled an exciting new feature for subscribers of ChatGPT Plusā€”the premium version of their AI-powered chatbot. With the introduction of Browsing, users can now utilize the ChatGPT app to search for answers on the web. However, there is a catch: the browsing functionality is exclusively powered by […] The post OpenAIā€™s ChatGPT App Introduces Browsing Feature with Bing Integration appeared first on Analytics Vidhya.

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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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Tim Fu uses "Midjourney for architecture" to transform crumpled paper into starchitect buildings

Flipboard

Designer Tim Fu has used LookX, an artificial intelligence tool trained on architecture, to turn squashed paper into building models that evoke designs by architects Frank Gehry and Zaha Hadid. The LookX platform, which just launched, is an artificial intelligence-generated content (AIGC) tool that was designed especially for "architecture lovers". Top image: an AI-designed building in the style of SANAA.

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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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Twitter now requires an account to view tweets

Hacker News

If you’re not logged into your Twitter account and try to view a tweet, you’ll be presented with a sign-in screen. And if you don’t want to have an account on the bird app, too bad!

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Is Data Science a Good Career?

Analytics Vidhya

Introduction With its ever-growing prominence and influence, data science has become a subject of great interest and intrigue among individuals contemplating their career paths. In an era characterized by an exponential surge in data generation, analysis, and utilization, the question arises: Is data science a good career? By exploring the multifaceted aspects of data science, […] The post Is Data Science a Good Career?

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Announcing the first Machine Unlearning Challenge

Google Research AI blog

Posted by Fabian Pedregosa and Eleni Triantafillou, Research Scientists, Google Deep learning has recently driven tremendous progress in a wide array of applications, ranging from realistic image generation and impressive retrieval systems to language models that can hold human-like conversations. While this progress is very exciting, the widespread use of deep neural network models requires caution: as guided by Googleā€™s AI Principles , we seek to develop AI technologies responsibly by understa

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Meet the robots attending the UNā€™s ā€˜AI for Good Globalā€™ summit

Flipboard

Some of the worldā€™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.

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

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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Excel vs Tableau ā€“ Which is a Better Tool?

Analytics Vidhya

Excel and Tableau are two popular data handling tools. They comprise unique specialties and specific advantages. Comparing them is possible at a specific level while considering particular points like size, complexity and user preferences. Here is a comparison of the most relevant points to find the better-performing one among Excel vs Tableau. Excel: Features, Capabilities, […] The post Excel vs Tableau – Which is a Better Tool?

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AI Girlfriends and Other Ridiculous Examples of Using Generative AI

ODSC - Open Data Science

AI has been all the rage over the last year or so. Much of this is due to how it has impacted businesses, governments, and even art. But there are some interesting things outside of those scopes that have many puzzled, or outright perplexed. Though itā€™s natural for humans to find new uses for tools, some are quite odd, to say the least. So letā€™s take a look at a few examples of the oddest examples of AI use so far.

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Inside the race to build an ā€˜operating systemā€™ for generative AI

Flipboard

Generative AI, the technology that can auto-generate anything from text, to images, to full application code, is reshaping the business world. It promises to unlock new sources of value and innovation, potentially adding $4.

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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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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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How Does AI Help in Lead Generation?

Analytics Vidhya

No matter how excellent your services or products are or how unique they are, it is unimportant if you can’t market them effectively. Worldwide, small- and large-scale business owners are attempting to stay up with the quick-changing marketing developments. We now have very sophisticated AI lead-generating solutions that produce high-quality leads faster than conventional approaches […] The post How Does AI Help in Lead Generation?

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Data Validation at Scale?ā€”?Detecting and Responding to Data Misbehavior

ODSC - Open Data Science

Data Validation at Scaleā€Šā€”ā€ŠDetecting and Responding to Data Misbehavior Editorā€™s note: Felipe is a speaker for ODSC Europe this June 14th-15th. Be sure to check out his talk, ā€œ Data Validation at Scaleā€Šā€”ā€ŠDetecting and Responding to Data Misbehavior ,ā€ there! In todayā€™s data-driven world, companies rely heavily on data to make informed decisions and gain a competitive edge.

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More details emerge about Google DeepMind efforts to surpass ChatGPT

Flipboard

Back in April, Google Brain and DeepMind joined forces as Google DeepMind, with plans to take on the competitive threat posed by OpenAI and its game-changing ChatGPT.

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Manufacturing Sustainability Surge: Your Guide to Data-Driven Energy Optimization & Decarbonization

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.

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Building Boba AI: Some lessons and patterns learnt in building an LLM-powered generative application

Hacker News

While it's fascinating to work directly with a Large Language Model, such as ChatGPT, it takes some skill and practice to learn how to prompt it effectively. My colleague Farooq Ali has been working on a co-pilot tool, Boba AI, for using an LLM to help generate ideas for product strategy. From this experience he as proposed eight patterns which he judges will be generally useful for building these kinds of AI co-pilot applications.

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LangFlow | UI for LangChain to Develop Applications with LLMs

Analytics Vidhya

Introduction Large Language Models have taken the world by storm. With the entry of ChatGPT, GPT3, Bard, and other Large Language Models, developers are constantly working with these models to create new product solutions. With each new day comes a new Large Language Model or new versions of existing LLMs. Keeping up with these new […] The post LangFlow | UI for LangChain to Develop Applications with LLMs appeared first on Analytics Vidhya.

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Collateral Damage in the Battle Over Truth

ODSC - Open Data Science

At a time when truth and facts are under attack and struggling for survival, the valiant defendants have pulled up the ramparts and reduced truth to empirical evidence and measurable, quantified, statistical proof. All other forms of proof or evidence are rejected and deemed suspect. Personal experiences are merely anecdotal, the unmeasurable is irrelevant, and success must scale a formula to be an evident success.

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New computer memory tech could power the AI of the future

Flipboard

A research team, led by the University of Cambridge, has developed a novel computer memory design, which promises to significantly improve performance while reducing the energy demands of internet and communications technologies.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineersā€™ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.