Mon.Feb 12, 2024

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10 Best AI Penny Stocks to Buy Now

Analytics Vidhya

Introduction Are you interested in investing in AI without a hefty budget? Penny stocks offer a low-cost entry into the world of artificial intelligence. In this article, we’ll explore 10 AI penny stocks poised for potential growth. Whether you’re a seasoned investor or a beginner, these picks could be your ticket to tapping into the […] The post 10 Best AI Penny Stocks to Buy Now appeared first on Analytics Vidhya.

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Vipul Vyas, SVP of Go To Market Strategy, Persado – Interview Series

Unite.AI

Vipul Vyas is the Senior Vice President, Go-To-Market Strategy at Persado. the only Motivation AI platform that enables personalized communications at scale, inspiring each individual to engage and act. Vipul heads up the Go To Market (GTM) function. GTM is responsible for providing content and deal support for the sales, customer success, marketing, and operations organizations.

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OpenAI’s AI Agents to Automate Complex Tasks

Analytics Vidhya

OpenAI, the pioneering company behind innovations like ChatGPT, is making strides in artificial intelligence with its latest endeavor: developing AI agents. These agents, designed to automate complex tasks, could potentially transform how we interact with technology and reshape various industries. Let’s find out how this new development is bound to revolutionize AI automation.

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The customer experience evolution: Today’s data-driven, real-time discipline

IBM Journey to AI blog

An evolution of customer experience (CX) was to be expected. Throughout modern history, organizations have encountered internal and external challenges that changed how they interact with customers and how customers view those organizations. Advancements in technology mean customers can order virtually any product and receive it in less than a week.

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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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EU Passes Landmark AI Regulation Act

Analytics Vidhya

The European Union has recently made a historic stride in the regulation of artificial intelligence with the unanimous adoption of the AI Act on February 12th. This pivotal legislation underscores the EU’s commitment to fostering AI innovation while upholding ethical standards and individual rights. Let’s delve into the key provisions and implications of this pivotal […] The post EU Passes Landmark AI Regulation Act appeared first on Analytics Vidhya.

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Pie Chart Matplotlib: A Guide to Create and Customize Pie Charts

Analytics Vidhya

Introduction Pie charts, a widely used visualization tool, represent data proportions in a circular format. Each slice corresponds to a category, facilitating quick comparisons. Here, we look into creating pie charts using Matplotlib. Importance of Pie Charts in Data Visualization Pie charts play a crucial role in data visualization for several reasons.

Python 294
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Emerging Technology Trends for 2024: Mastercard’s Report Unveils the Impact of Generative AI on Commerce

Unite.AI

Mastercard's “ Emerging Technology Trends for 2024 ” report offers an insightful glimpse into the future of commerce, with a special focus on the transformative impact of generative AI in the retail and travel sectors. This comprehensive study reveals how the convergence of artificial intelligence, computational power, and data technology is not just revolutionizing shopping experiences but is also poised to reshape the travel industry.

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Google Gemini Ultra: Redefining User Interaction with Advanced AI

Analytics Vidhya

Google’s latest endeavor, Gemini, is poised to redefine user interaction in the digital landscape. This innovative AI project introduces Gemini Ultra 1.0, a robust language model aimed at enhancing user experience. With its launch, Google aims to revolutionize tasks across various domains, promising a seamless and efficient digital journey. Let’s explore the features of Google’s […] The post Google Gemini Ultra: Redefining User Interaction with Advanced AI appeared first

AI 294
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7 customer experience trends in 2024

IBM Journey to AI blog

Customer experience (CX) defines a customer’s journey with a company, including both direct and indirect touchpoints. Businesses that place the emotional needs of the buyer persona at the forefront of the customer experience strategy fosters great relationships. Forrester reports that customer experience is a high priority for about 75% of global business and technology professionals and their organizations.

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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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ggplot in Python: A Data Visualization Guide

Analytics Vidhya

Introduction In data analysis, creating visual representations is key to understanding and communicating insights effectively. One tool that shines in Python is ggplot. Built on the grammar of graphics, ggplot offers a straightforward way to make beautiful plots. This article will dive into ggplot’s features and why it’s such a valuable tool for visualizing data […] The post ggplot in Python: A Data Visualization Guide appeared first on Analytics Vidhya.

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Telcos to spend $20B on AI network orchestration by 2028

AI News

Telecom companies are expected to increase their spending on AI for automating network management to $20 billion by 2028, a new report from Juniper Research found. This would represent a 240 percent rise from estimated spending levels in 2024 of $6 billion. The researchers predict the investment growth will be necessary as telcos expand 5G networks globally and develop future 6G networks.

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Top 10 Artificial Intelligence (AI) Cryptocurrencies

Analytics Vidhya

Introduction In the world of digital money, something exciting is happening. People are combining artificial intelligence (AI) with cryptocurrencies to make new kinds of digital assets called AI cryptocurrencies. These tokens use the smart abilities of AI to change how things work on the internet money system called blockchain. In this article, we’re going to […] The post Top 10 Artificial Intelligence (AI) Cryptocurrencies appeared first on Analytics Vidhya.

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Transcribe phone calls in real-time in Go with Twilio and AssemblyAI

AssemblyAI

In this tutorial, you'll build a server application in Go that transcribes an incoming Twilio phone call into text in real-time. You'll use a Twilio MediaStream to stream the voice data to your local server application. You'll pass the voice data to AssemblyAI to transcribe the call into text, and then print it in your terminal in real-time.

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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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LLMWare Launches SLIMs: Small Specialized Function-Calling Models for Multi-Step Automation

Marktechpost

As enterprises look to deploy LLMs in more complex production use cases beyond simple knowledge assistants, there is a growing recognition of three interconnected needs: Agents – complex workflows involve multiple steps and require the orchestration of multiple LLM calls; Function Calls – models need to be able to generate structured output that can be handled programmatically, including key tasks such as classification and clustering, which often times are the connective tissue in s

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3 big AI trends to watch in 2024

Microsoft AI

AI is expected to become more accessible, nuanced and integrated in technologies that help people. Here are three AI trends to watch in 2024.

AI 144
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Enhanced Audio Generation through Scalable Technology

Marktechpost

Technological advancements have been pivotal in transcending the boundaries of what’s achievable in the domain of audio generation, especially in high-fidelity audio synthesis. As demand for more sophisticated and realistic audio experiences escalates, researchers have been propelled to innovate beyond conventional methods to resolve the persistent challenges within this field.

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Scientists Figure Out Why Earth Froze Over 700 Million Years Ago

Extreme Tech

The Sturtian glaciation was so severe that it turned our planet into what researchers call 'Snowball Earth' for 57 million years. Now they know why.

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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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Apple AI Research Releases MLLM-Guided Image Editing (MGIE) to Enhance Instruction-based Image Editing via Learning to Produce Expressive Instructions

Marktechpost

The use of advanced design tools has brought about revolutionary transformations in the fields of multimedia and visual design. As an important development in the field of picture modification, instruction-based image editing has increased the process’s control and flexibility. Natural language commands are used to change photographs, removing the requirement for detailed explanations or particular masks to direct the editing process.

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Secret Behind Perplexity AI Success Over Google

Towards AI

Author(s): Sai Viswanth Originally published on Towards AI. World’s leading Conversation AI engine to beat Google’s Search Engine Just short after Chat GPT 3 success, Perplexity AI's popularity was on the rise. People were going toe-toe to find which one of these AI engines performs well. But the real question is what kind of service Perplexity AI is providing to make users’ lives easier From the words of Aravind Srinivas (CEO of Perplexity AI), perplexity AI is a conversation AI engine tha

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This AI Paper Proposes Two Types of Convolution, Pixel Difference Convolution (PDC) and Binary Pixel Difference Convolution (Bi-PDC), to Enhance the Representation Capacity of Convolutional Neural Network CNNs

Marktechpost

Deep convolutional neural networks (DCNNs) have been a game-changer for several computer vision tasks. These include object identification, object recognition, image segmentation, and edge detection. The ever-growing size and power consumption of DNNs have been key to enabling much of this advancement. Embedded, wearable, and Internet of Things (IoT) devices, which have restricted computing resources and low power, as well as drones, pose significant challenges to sustainability, environmental f

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LangChain 101: Part 3b. Talking to Documents: Embeddings and Vectorstores

Towards AI

Author(s): Ivan Reznikov Originally published on Towards AI. The terms vectorstores and embeddings are gaining more and more popularity. As soon as the idea of integration of LLMs with our own data became a possibility, we started to look into tools to make that a reality. Google Trends for terms Vectorstore and Embeddings In Part 3b of the LangChain 101 series, we’ll discuss what embeddings are and how to choose one, what are vectorstores, how vector databases differ from other databases, and,

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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 engineers’ 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.

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Outsmarting Uncertainty: How ‘K-Level Reasoning’ from Microsoft Research is Setting New Standards for LLMs

Marktechpost

Delving into the intricacies of artificial intelligence, particularly within the dynamic reasoning domain, uncovers the pivotal role of Large Language Models (LLMs) in navigating environments that are not just complex but ever-changing. While effective in predictable settings, traditional static reasoning models falter when faced with the unpredictability inherent in real-world scenarios such as market fluctuations or strategic games.

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Few shots at a Math assistant with Orca-2-7B

Towards AI

Author(s): Kundan Joshi Originally published on Towards AI. In the world of text generation with LLMs, where content with largely subjective underpinnings is churned out with imaginative opulence, topics with an analytical quotient, like logical reasoning and maths problems, do not score particularly well.And yet, this domain remains a topic of universal interest and application due to an ever-existing need from educational practitioners.

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This AI Paper Proposes Infini-Gram: A Groundbreaking Approach to Scale and Enhance N-Gram Models Beyond Traditional Limits

Marktechpost

Pretrained on trillion-token corpora, large neural language models (LLMs) have achieved remarkable performance strides (Touvron et al., 2023a; Geng & Liu, 2023). However, the scalability benefits of such data for traditional n-gram language models (LMs) still need to be explored. This paper from the University of Washington and Allen Institute for Artificial Intelligence delves into the relevance of n-gram LMs in the era of neural LLMs and introduces groundbreaking advancements in their mode

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Demystifying Time Series Outliers – 4/4

Towards AI

Last Updated on February 13, 2024 by Editorial Team Author(s): Andrea Ianni Originally published on Towards AI. Last stop: end of the line We’ve reached the end of our saga, which began on a cold sunny day with the entry of a blonde-haired kid onto the field, a pandemic ago. We’ve tracked the growth of the footballer, on the green pitch. We’ve witnessed the evolution of the public figure, with a surge in fame that… not even Nicolò himself expected!

AI 100
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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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Enhancing Language Model Alignment through Reward Transformation and Multi-Objective Optimization

Marktechpost

The current study examines how well LLMs align with desirable attributes, such as helpfulness, harmlessness, factual accuracy, and creativity. The primary focus is on a two-stage process that involves learning a reward model from human preferences and then aligning the language model to maximize this reward. It addresses two key issues: Improving alignment by considering different transformations of the learned reward.

ML 101
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How to Implement Augmented Analytics for Data-Driven Decision-Making

ODSC - Open Data Science

Data analytics is integral to modern business, but many organizations’ efforts are starting to fall flat. Now that virtually every company is capitalizing on data, analytics alone isn’t enough to surge ahead of the competition. You must be able to analyze data faster, more accurately, and within context. It’s often hard to extract value from predictive models because they lack explainability and can be challenging to implement effectively.

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Mitigating Redundant UDF Computations in Spark Plans

Towards AI

Last Updated on February 13, 2024 by Editorial Team Author(s): Abhijith C Originally published on Towards AI. Photo by Samuel Sianipar on Unsplash Originally published on my blog. When processing big data, efficiency is key. It’s not uncommon to be caught up in long debugging cycles when working with Spark. I was recently caught in such a debugging train when one of my pipelines was taking longer than expected.