Tue.Nov 07, 2023

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Generative AI in marketing: 2024 key trends of digital marketing

Data Science Dojo

In today’s digital marketing world, things are changing fast. And AI in marketing is a big part of that. Artificial intelligence (AI) is rapidly transforming the marketing landscape, making it increasingly important for marketers to integrate AI into their work. How marketers can leverage AI AI can provide marketers with a number of benefits, including: Increased efficiency and productivity: AI can automate many time-consuming tasks, such as data analysis, content creation, and ad targeti

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New Study Reveals Organizations Embrace Generative AI and Human-in-the-Loop Automation Amidst Rising Costs and Frequency of Service Incidents

insideBIGDATA

Transposit, the AI-powered incident management company, today announced results from its third annual State of DevOps Automation and AI research study about the intricate challenges faced by organizations in managing incidents effectively.

AI 459
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Introduction to Giskard: Open-Source Quality Management for AI Models

KDnuggets

To solve the conundrum of ensuring the quality of AI models in production — especially given the emergence of LLMs — we are thrilled to announce the official launch of Giskard, the premier open-source AI quality management system.

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IBM Launches $500 Million Enterprise AI Venture Fund

insideBIGDATA

IBM (NYSE: IBM) today announced that it is launching a $500 million venture fund to invest in a range of AI companies - from early-stage to hyper-growth startups - focused on accelerating generative AI technology and research for the enterprise.

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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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Elon Musk Introduces ‘Grok’: The Sassy AI Chatbot with a Dash of Rebellion

Analytics Vidhya

The tech world is abuzz with excitement. Elon Musk, the mastermind behind groundbreaking ventures like SpaceX and Tesla, introduces Grok, the latest creation to emerge from his new AI company, xAI. This chatbot, according to xAI, is inspired by “The Hitchhiker’s Guide to the Galaxy” It promises to possess “a bit of wit,” “a rebellious […] The post Elon Musk Introduces ‘Grok’: The Sassy AI Chatbot with a Dash of Rebellion appeared first on Ana

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Why Enterprises Should Run, Not Walk, to Combine AI & AR

insideBIGDATA

In this contributed article, Kelly Peng, CEO and chief technology officer of Kura, discusses how marriage of AI and AR can combine to give us a world where we can do everything from communicate across language barriers to collaborate with remote employees like never before.

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More Trending

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Image Feature Extraction in OpenCV: Edges and Corners

Machine Learning Mastery

In the world of computer vision and image processing, the ability to extract meaningful features from images is important. These features serve as vital inputs for various downstream tasks, such as object detection and classification. There are multiple ways to find these features. The naive way is to count the pixels. But in OpenCV, there […] The post Image Feature Extraction in OpenCV: Edges and Corners appeared first on MachineLearningMastery.com.

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Enhancing Scientific Document Processing with Nougat

Analytics Vidhya

Introduction In the ever-evolving field of natural language processing and artificial intelligence, the ability to extract valuable insights from unstructured data sources, like scientific PDFs, has become increasingly critical. To address this challenge, Meta AI has introduced Nougat, or “Neural Optical Understanding for Academic Documents,”, a state-of-the-art Transformer-based model designed to transcribe scientific PDFs into […] The post Enhancing Scientific Document Processing with No

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Introducing Python User-Defined Table Functions (UDTFs)

databricks

Apache Spark™ 3.5 and Databricks Runtime 14.0 have brought an exciting feature to the table: Python user-defined table functions (UDTFs). In this blog p.

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What Are the Best Practices for Deploying PySpark on AWS?

Analytics Vidhya

Introduction In big data and advanced analytics, PySpark has emerged as a powerful tool for processing large datasets and analyzing distributed data. Deploying PySpark on AWS applications on the cloud can be a game-changer, offering scalability and flexibility for data-intensive tasks. Amazon Web Services (AWS) provides an ideal platform for such deployments, and when combined […] The post What Are the Best Practices for Deploying PySpark on AWS?

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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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SUSE Widens Stance To Help Balance Cloud Diversity

Adrian Bridgwater for Forbes

We now work in a world of multi-cloud heterogeneity with many different cloud instances all needing to be integrated and configured with precision connections.

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OpenAI Assistants API will let devs create “agent-like experiences”

Dataconomy

The launch of the OpenAI Assistants API at the DevDay marks a significant advancement in enabling developers to create “agent-like experiences” within their applications. This innovative Assistants API allows OpenAI’s clientele to craft an “assistant” tailored with distinct instructions, which taps into a broader spectrum of knowledge.

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Between Dreams and Reality: Generative Text and Hallucinations

KDnuggets

This is an in-depth dive into hallucinations in LLMs. See the illusions cast by modern AI generative models like ChatGPT, Bard and Claude.

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Whisper v3: Revolutionizing speech recognition and beyond

Dataconomy

Imagine a speech recognition model that not only understands multiple languages but also seamlessly translates and identifies them. Whisper v3 is the embodiment of this vision. It’s not just a model; it’s a dynamic force that reshapes the boundaries of audio data comprehension. The ability to transcribe, translate, and identify languages in spoken words has long been the holy grail of technology and OpenAI just changed it.

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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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How Generative AI Will Transform Knowledge Work

Flipboard

Generative AI can be a boon for knowledge work, but only if you use it in the right way. New generative AI-enabled tools are rapidly emerging to assist and transform knowledge work in industries ranging from education and finance to law and medicine. Companies are starting to introduce generative AI-powered innovations into their processes, and to promulgate policies on how to use the tools safely.

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What the QWAC? an EV Certificate all over again

Hacker News

Almost 2 years on from the last time I wrote about QWACs, I'm sadly not here to tell you that things have gone well since then. In fact, I'm actually here to tell you that things are not going well at all.

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EELBERT: Tiny Models through Dynamic Embeddings

Machine Learning Research at Apple

We introduce EELBERT, an approach for compression of transformer-based models (for example, BERT), with minimal impact on the accuracy of downstream tasks. This is achieved by replacing the input embedding layer of the model with dynamic, for example, on-the-fly, embedding computations. Since the input embedding layer accounts for a significant fraction of the model size, especially for the smaller BERT variants, replacing this layer with an embedding computation function helps us reduce the mod

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ChipNeMo: Domain-Adapted LLMs for Chip Design

Hacker News

ChipNeMo aims to explore the applications of large language models (LLMs) for industrial chip design. Instead of directly deploying off-the-shelf commercial or open-source LLMs, we instead adopt the following domain adaptation techniques: custom tokenizers, domain-adaptive continued pretraining, supervised fine-tuning (SFT) with domain-specific instructions, and domain-adapted retrieval models.

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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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SeMAnD: Self-Supervised Anomaly Detection in Multimodal Geospatial Datasets

Machine Learning Research at Apple

*= Equal Contributors We propose a Self-supervised Anomaly Detection technique, called SeMAnD, to detect geometric anomalies in Multimodal geospatial datasets. Geospatial data comprises acquired and derived heterogeneous data modalities that we transform to semantically meaningful, image-like tensors to address the challenges of representation, alignment, and fusion of multimodal data.

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Core to core latency data on large systems

Hacker News

Multicore CPUs have to give user programs a way to synchronize between different cores, and ensure a coherent view of memory. A write from one core has to be made visible to others, even though each core has private caches. Cache coherency protocols like MESI, MESIF, or MOESI help make sure this happens.

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Amazon Aurora MySQL zero-ETL integration with Amazon Redshift is now generally available

Flipboard

“Data is at the center of every application, process, and business decision,” wrote Swami Sivasubramanian, VP of Database, Analytics, and Machine Learning at AWS, and I couldn’t agree more. A common pattern customers use today is to build data pipelines to move data from Amazon Aurora to Amazon Redshift.

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Verizon, AT&T customers sue to undo T-Mobile merger

Hacker News

We just got done noting how pretty much all of the criticism of the Sprint T-Mobile merger by economists and consumer advocates wound up being true. The deal has resulted in more than 10,000+ eliminated jobs, steady price hikes, annoying new fees, a weaker T-Mobile brand, and a lower quality product overall.

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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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What can you make with OpenAI’s GPT Builder? 5 early examples

Flipboard

Among the many new features OpenAI CEO Sam Altman announced yesterday at the company’s first-ever developer conference, DevDay — the most important may have been the new GPT Builder.

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Bun (YC S19) Is Hiring Systems Engineers in San Francisco (C/C++ or Zig)

Hacker News

Oven is on a mission to make JavaScript faster and simpler. That's why we launched Bun, a fast all-in-one JavaScript runtime, bundler, and package manager. We're looking for people to help us build the future of JavaScript and infrastructure on.

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An AI just negotiated a contract for the first time ever — and no human was involved

Flipboard

In a world first, artificial intelligence demonstrated the ability to negotiate a contract autonomously with another artificial intelligence without …

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STEER: Semantic Turn Extension-Expansion Recognition for Voice Assistants

Machine Learning Research at Apple

*= Equal Contributors In the context of a voice assistant system, steering refers to the phenomenon in which a user issues a follow-up command attempting to direct or clarify a previous turn. We propose STEER, a steering detection model that predicts whether a follow-up turn is a user's attempt to steer the previous command. Constructing a training dataset for steering use cases poses challenges due to the cold-start problem.

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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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Microsoft to use Oracle’s OCI Supercluster for Bing conversational searches

Flipboard

In an extension of their AI partnership, Oracle and Microsoft have signed a multiyear agreement to support the growing demand of Bing conversational …

AI 165
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Top Important Computer Vision Papers for the Week from 30/10 to 5/11

Towards AI

Last Updated on November 8, 2023 by Editorial Team Author(s): Youssef Hosni Originally published on Towards AI. Stay Relevant to Recent Computer Vision Research On a weekly basis, several top-tier academic conferences and journals showcased innovative research in computer vision, presenting exciting breakthroughs in various subfields such as image recognition, vision model optimization, generative adversarial networks (GANs), image segmentation, video analysis, and more.

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Navigating Data Science Job Titles: Data Analyst vs. Data Scientist vs. Data Engineer

Flipboard

No, they’re not the same jobs! Learn what responsibilities, skills, and tools used make them different. Then, choose the right career path for you.

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The Stern-Gerlach Experiment (1967) [video]

Hacker News

This film on The Stern-Gerlach Experiment featuring MIT Professor Jerrold R. Zacharias was produced by Educational Services, Inc. (ESI) in 1967. ESI (later E.

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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.