Thu.Jul 27, 2023

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INDIAai and Meta Join Forces: Paves Way for AI Innovation and Collaboration

Analytics Vidhya

In a promising development, INDIAai and Meta have come together to establish a powerful collaboration in the realm of artificial intelligence (AI) and emerging technologies. By signing a memorandum of understanding (MoU), the two organizations are set to pool their expertise and resources to make Meta’s open-source AI models accessible. This partnership marks a significant […] The post INDIAai and Meta Join Forces: Paves Way for AI Innovation and Collaboration appeared first on Analy

Modeling 271
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IT leaders grapple with shadow AI

CIO Business Intelligence

Max Chan knew he had to do something. Soon after ChatGPT burst on the scene in November 2022, Chan realized generative AI would amount to far more than the just the latest technology flash-in-the-pan. With the ability to instantaneously ingest reams of data using large language models (LLMs), generative AI technologies such as OpenAI’s ChatGPT and Google’s Bard can produce reports, contracts, and application code far surpassing earlier technologies in speed, accuracy, and thoroughness.

IT 98
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Unveiling the Future of Text Analysis: Trendy Topic Modeling with BERT

Analytics Vidhya

Introduction A highly effective method in machine learning and natural language processing is topic modeling. A corpus of text is an example of a collection of documents. This technique involves finding abstract subjects that appear there. This method highlights the underlying structure of a body of text, bringing to light themes and patterns that might […] The post Unveiling the Future of Text Analysis: Trendy Topic Modeling with BERT appeared first on Analytics Vidhya.

Modeling 271
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SAP raises on-prem support costs again to drive cloud adoption

CIO Business Intelligence

First came the carrot of lower costs in the cloud with the bundled Rise with SAP offering. Now here comes the stick. SAP said Thursday it will raise the cost of support for users of its on-premises software for the second year in a row, just days after announcing plans to withhold future innovations in its products from on-prem customers. “SAP’s newest innovations and capabilities will only be delivered in SAP public cloud and SAP private cloud using RISE with SAP as the enabler,” CEO Christian

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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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Amazon Vs Google Vs Microsoft: The Race to Revolutionize Healthcare with AI

Analytics Vidhya

Integrating artificial intelligence (AI) into the healthcare industry is becoming increasingly prevalent in an era of technological advancements. Tech giants like Amazon, Google, & Microsoft lead the charge, launching innovative AI-powered solutions to transform patient care & optimize healthcare processes. The latest addition to this AI healthcare race is Amazon Web Services’ HealthScribe, a groundbreaking […] The post Amazon Vs Google Vs Microsoft: The Race to Revolutionize

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The central role of a multi-cloud approach when future-proofing today’s dynamic enterprises

CIO Business Intelligence

As we closed out 2022 and began 2023, VMware’s Research and Insights organization interviewed more than 450 technology executives to get their candid views on the topics that present enterprises with the greatest opportunities and challenges. The resulting report revealed a technology landscape marked by excessive pressure to deliver IT value in uncertain times.

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8 Programming Languages For Data Science to Learn in 2023

KDnuggets

Are you interested in Data Science? This blog will help you kickstart or advance your data science career. You'll learn about the most popular programming languages data scientists use to clean, analyze, visualize, and model data.

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4 Tech Giants – OpenAI, Google, Microsoft, and Anthropic Unite for Safe AI

Analytics Vidhya

In a landmark move, four of the biggest names in the world of artificial intelligence are joining forces to create a powerful industry body dedicated to ensuring the responsible development of cutting-edge AI models. OpenAI, Microsoft, Google, and Anthropic have announced the formation of the Frontier Model Forum, a coalition that aims to address the […] The post 4 Tech Giants – OpenAI, Google, Microsoft, and Anthropic Unite for Safe AI appeared first on Analytics Vidhya.

Modeling 270
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CIO Diane Schwarz on the power of professional ecosystems

CIO Business Intelligence

Diane Schwarz knows it as well as anyone: You can’t climb to the C-suite alone. It takes an ecosystem of colleagues, clients, and partners — all of whom help you navigate what is often a nonlinear path. Such has been the case in Diane’s own storied career, from her education at Notre Dame and Chicago Booth to CIO posts at Textron, Hunt Energy, and most recently, Johnson Controls, the $25 billion global enterprise that is helping to create smart, sustainable buildings through its OpenBlue suite o

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Geospatial Analysis for Flood Resilience

Analytics Vidhya

Introduction Geospatial analysis for flood resilience uses location-based data to solve complex problems in urban planning, environmental management, and public health. It reveals hidden connections and trends, helping us make better decisions for resource allocation and improving our lives. In this guide, we’ll explore a fascinating project using ArcGIS to analyze floods and learn how […] The post Geospatial Analysis for Flood Resilience appeared first on Analytics Vidhya.

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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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Near-real-time analytics using Amazon Redshift streaming ingestion with Amazon Kinesis Data Streams and Amazon DynamoDB

AWS Big Data

Amazon Redshift is a fully managed, scalable cloud data warehouse that accelerates your time to insights with fast, easy, and secure analytics at scale. Tens of thousands of customers rely on Amazon Redshift to analyze exabytes of data and run complex analytical queries, making it the widely used cloud data warehouse. You can run and scale analytics in seconds on all your data without having to manage your data warehouse infrastructure.

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OpenAI CEO Sam Altman: Jobs at Risk as AI Proves Its Might

Analytics Vidhya

OpenAI CEO, Sam Altman, has been vocal about his concerns regarding the potential dangers of AI, particularly his creation, ChatGPT. In a recent interview, Altman delved into the impact of AI on jobs and humanity as a whole. While some believe that AI will merely complement human efforts, Altman holds a different view, asserting that […] The post OpenAI CEO Sam Altman: Jobs at Risk as AI Proves Its Might appeared first on Analytics Vidhya.

Risk 270
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An MLOps Mindset: Always Production-Ready

KDnuggets

A lack of an ML production mindset from the beginning of a project can lead to surprises later on, especially during production time, resulting in re-modeling and delayed time-to-market.

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Build Your Own Translator with LLMs & Hugging Face

Analytics Vidhya

Introduction Language barriers can hinder global communication, but AI and natural language processing offer solutions. Language Models (LLMs) trained on vast text data have deep language understanding, enabling seamless translation between people of different languages. LLMs surpass traditional rule-based methods, improving accuracy and quality. This article explains how to build a translator using LLMs and […] The post Build Your Own Translator with LLMs & Hugging Face appeared firs

Modeling 269
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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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Improved scalability and resiliency for Amazon EMR on EC2 clusters

AWS Big Data

Amazon EMR is the cloud big data solution for petabyte-scale data processing, interactive analytics, and machine learning using open-source frameworks such as Apache Spark , Apache Hive , and Presto. Customers asked us for features that would further improve the resiliency and scalability of their Amazon EMR on EC2 clusters, including their large, long-running clusters.

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Spotify Embraces AI: From Personalized Playlists to Audio Ads

Analytics Vidhya

Popular music streaming platform, Spotify, has been on the cutting edge of technology, continuously exploring ways to enhance user experience. Recently, the company ventured into the realm of generative AI, which has already led to the success of its DJ feature. This AI-powered tool curates personalized playlists based on users’ listening habits, delivering an unmatched […] The post Spotify Embraces AI: From Personalized Playlists to Audio Ads appeared first on Analytics Vidhya.

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Why Data Privacy, Data Security, and Data Protection Go Hand in Hand

Laminar Security

The Growing Challenges of Data Privacy and Data Protection Here’s an important truth: There is no data privacy without data protection. Consumers and companies place their trust in the organizations they do business with and trust that their sensitive data will be kept private. These same organizations want to protect consumer and partner data, to preserve their brand as a trustworthy partner, grow revenues, and avoid regulatory fines.

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Building Generative AI Applications with LangChain and OpenAI API

Analytics Vidhya

Introduction Generative AI is leading the latest tech wave in the industry. Generative AI Applications like image generation, text generation, summarization, and question-and-answer bots, to name a few, are booming. As OpenAI recently led the large language model wave, many startups developed tools and frameworks to allow developers to build innovative applications using these LLMs. […] The post Building Generative AI Applications with LangChain and OpenAI API appeared first on Analytics V

Modeling 266
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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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Six EAM trends pushing the oil and gas industries forward

IBM Big Data Hub

The oil and gas industry remains an integral part of the energy landscape, but it faces a number of modern challenges, including volatile market conditions, expanding environmental regulations and the growing need for operational efficiency. To navigate these challenges, industry players are turning to enterprise asset management (EAM) solutions. EAM is an invaluable tool that allows oil and gas companies to manage physical assets and infrastructure throughout their lifecycles—from design

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ChatGPT Code Interpreter: Do Data Science in Minutes

KDnuggets

This new ChatGPT plugin can analyze data, write Python code, and build machine-learning models.

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Skilled partners hold the key to accelerating AI adoption

IBM Big Data Hub

Thomas J. Watson, Sr., early chairman and CEO of IBM, once said, “Education is the foundation of our progress.” As artificial intelligence reshapes business, Watson’s advice still applies: A recent study by the IBM Institute for Business Value (IBV) finds that 75% of CEOs surveyed believe their competitive advantage will depend on who has the most advanced generative AI.

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Accelerate Your Data Exploration by Using Visual Data Tools

Dataiku

When embarking on the data exploration phase of a data analysis project, it can sometimes be difficult to readily spot patterns and relationships in a dataset, especially if there are many columns or if you do not already have some notion of where to begin your analysis.

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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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Give Your Users Customizable Analytics Dashboards and Reports!

Smarten

Select Augmented Analytics with Dashboards and Reports Your Users Can Customize! When it comes to business tools and processes, one size fits all is never the solution. Your team members each have unique roles and responsibilities and that means they use different tools, software, and techniques to get the job done. If you are planning to roll out augmented analytics to your business users, you will have to adjust your approach to accommodate the unique nature of each user.

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The Ten Standard Tools To Develop Data Pipelines In Microsoft Azure

DataKitchen

The Ten Standard Tools To Develop Data Pipelines In Microsoft Azure. While working in Azure with our customers, we have noticed several standard Azure tools people use to develop data pipelines and ETL or ELT processes. We counted ten ‘standard’ ways to transform and set up batch data pipelines in Microsoft Azure. Is it overkill? Don’t they all do the same thing?

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Find the best Amazon Redshift configuration for your workload using Redshift Test Drive

AWS Big Data

Amazon Redshift is a widely used, fully managed, petabyte-scale cloud data warehouse. Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads. With the launch of Amazon Redshift Serverless and the various deployment options Amazon Redshift provides (such as instance types and cluster sizes), customers are looking for tools that help them determine the most optimal data warehouse configuration to support their Redshift workload.

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The advantages of being cloud smart

CIO Business Intelligence

Last year VMware commissioned an eye-opening survey of IT leaders, including nearly 6,000 CIOs, CISOs, CTOs, application developers, cloud architects, and DevOps professionals across the globe. The resulting report, “ The Multi-Cloud Maturity Index ,” garnered important intelligence on the state of multi-cloud deployments across industries. As a multi-cloud approach becomes increasingly ubiquitous with efforts to future-proof today’s dynamic and distributed organizations—which, in today’s era of

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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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Use AWS Glue DataBrew recipes in your AWS Glue Studio visual ETL jobs

AWS Big Data

AWS Glue Studio is now integrated with AWS Glue DataBrew. AWS Glue Studio is a graphical interface that makes it easy to create, run, and monitor extract, transform, and load (ETL) jobs in AWS Glue. DataBrew is a visual data preparation tool that enables you to clean and normalize data without writing any code. The over 200 transformations it provides are now available to be used in an AWS Glue Studio visual job.

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Leveraging high performance computing to help solve complex challenges across industries

IBM Big Data Hub

In today’s competitive business landscape, having high compute power can be critical. Whether a bank needs to quickly conduct risk analyses to navigate volatile markets, the semiconductor industry needs to optimize chip design, or a life sciences company must carry out rapid and repetitive genome processing and sequencing to make their next breakthrough, high performance computing (HPC) can be key to solving large, complex problems in less time than with traditional computing methods.

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5 Steps to a Better Close With CXO Multisource Reports

Jet Global

Creating efficiency in your financial close cycle should be a top priority of your finance team. Not just because you’re responsible for maintaining long-term financial integrity, but because you create the foundation for your finance team to analyze numbers and find growth opportunities. If you are rushing to complete every close cycle, it’s inevitable that quality will suffer.

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Scale knowledge management use cases with generative AI

IBM Big Data Hub

Artificial intelligence is disrupting many different areas of business. The technology’s potential is particularly apparent in customer service, talent, and application modernization. According to IBM’s Institute of Business Value (IBV) , AI can contain contact center cases, enhancing customer experience by 70%. Additionally, AI can increase productivity in HR by 40% and in application modernization by 30%.

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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.