April, 2024

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Top 40 Python Libraries for AI, ML and Data Science

Analytics Vidhya

Introduction Python is the magic key to building adaptable machines! Known for its beginner-friendliness, you can dive into AI without complex code. Python’s superpower? A massive community with libraries for machine learning, sleek app development, data analysis, cybersecurity, and more. This flexible language has you covered for all things AI and beyond.

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Quality Assurance, Errors, and AI

O'Reilly on Data

A recent article in Fast Company makes the claim “ Thanks to AI, the Coder is no longer King. All Hail the QA Engineer.” It’s worth reading, and its argument is probably correct. Generative AI will be used to create more and more software; AI makes mistakes and it’s difficult to foresee a future in which it doesn’t; therefore, if we want software that works, Quality Assurance teams will rise in importance.

Testing 174
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Salesforce Wants Everyone to be an Einstein with AI

David Menninger's Analyst Perspectives

I recently attended the Salesforce Trailblazer DX event to learn more about Salesforce’s artificial intelligence products and strategy. Fueled by generative AI, awareness and investment in AI seems to be exploding. ISG research shows that enterprises plan to nearly triple the portion of budgets allocated to AI over the next two years. This doesn’t come as a big surprise when you look at the outcomes enterprises are achieving: Of those that have invested in AI, more than 8 in 10 (84%) have had po

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Webinar Summary: Agile, DataOps, and Data Team Excellence

DataKitchen

The hosted by Christopher Bergh with Gil Benghiat from DataKitchen covered a comprehensive range of topics centered around improving the performance and efficiency of data teams through Agile and DataOps methodologies. Gil Benghiat, co-founder of Data Kitchen, began by explaining the overarching goal of achieving data team excellence, which involves delivering business value quickly and with high quality.

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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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AI poised to replace entry-level positions at large financial institutions

CIO Business Intelligence

Global banks and investment firms are currently mulling plans to replace entry-level financial analyst positions with artificial intelligence (AI), with as many as two-thirds of these positions potentially on the chopping block. This anticipated move could completely transform how these companies hire new employees and how they manage and deliver the technology employees use.

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10 GitHub Repositories to Master Python

KDnuggets

Learn Python through tutorials, blogs, books, project work, and exercises. Access all of it on GitHub for free and join a supportive open-source community.

IT 143

More Trending

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AI Has an Uber Problem

O'Reilly on Data

“The economic problem of society…is a problem of the utilization of knowledge which is not given to anyone in its totality.” —Friedrich A. Hayek, “ The Use of Knowledge in Society ” Silicon Valley venture capitalists and many entrepreneurs espouse libertarian values. In practice, they subscribe to central planning: Rather than competing to win in the marketplace, entrepreneurs compete for funding from the Silicon Valley equivalent of the Central Committee.

Marketing 153
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AI Innovations in Data and Analytics at SAP

David Menninger's Analyst Perspectives

Data and analytics have become increasingly important to all aspects of business. The modern data and analytics stack includes many components, which creates challenges for enterprises and software providers alike. As my colleague Matt Aslett points out , a better term might be modern data and analytics smorgasbord. There are arguments for and against using an assortment of tools versus a consolidated platform.

Analytics 130
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The future of application delivery starts with modernization

IBM Big Data Hub

IDC estimates that 750 million cloud native will be built by 2025. Where and how these applications are deployed will impact time to market and value realization. The reality is that application landscapes are complex, and they challenge enterprises to maintain and modernize existing infrastructure, while delivering new cloud-native features. Three in four executives reported disparate systems in their organizations and that a lack of skills, resources and common operational practices challenge

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8 strategies for accelerating IT modernization

CIO Business Intelligence

New tech moves from bleeding edge to mainstream at an ever-increasing pace. Consider how fast generative AI went from avant-garde to ubiquity: At under two years, it may be a record. Feats like that have ramped up pressure on CIOs to not just modernize, but modernize faster so they’re ready to seize new opportunities as they arise by having infrastructure that can support emerging technologies and a team that isn’t mired in maintenance mode.

Strategy 138
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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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10 GitHub Repositories to Master Computer Science

KDnuggets

These GitHub repositories provide valuable resources for mastering computer science, including comprehensive roadmaps, free books and courses, tutorials, and hands-on coding exercises to help you gain the skills and knowledge necessary to thrive in the ever-evolving field of technology.

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Elon Musk Predicts AI will be Smarter than Humans by Next Year

Analytics Vidhya

Elon Musk has been making headlines again! During a recent interview on X Spaces (his platform for discussing all things space and beyond), the he dropped a prediction about Artificial General Intelligence (AGI). Musk claims AGI could be surpassing human intelligence within the next two years! Master of Making Bold Statements Musk has a history […] The post Elon Musk Predicts AI will be Smarter than Humans by Next Year appeared first on Analytics Vidhya.

Analytics 321
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Uplevel your data architecture with real- time streaming using Amazon Data Firehose and Snowflake

AWS Big Data

Today’s fast-paced world demands timely insights and decisions, which is driving the importance of streaming data. Streaming data refers to data that is continuously generated from a variety of sources. The sources of this data, such as clickstream events, change data capture (CDC), application and service logs, and Internet of Things (IoT) data streams are proliferating.

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Querying Minds Want to Know: Can a Data Fabric and RAG Clean up LLMs?

Data Virtualization

Reading Time: 4 minutes Providing timely, intuitive access to information has been top-of-mind for many companies, and their data professionals in particular. Over the past few decades, we have been storing up data and generating even more of it than we have known what. The post Querying Minds Want to Know: Can a Data Fabric and RAG Clean up LLMs? appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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Chart Snapshot: Beanplots

The Data Visualisation Catalogue

A Beanplot is a visualisation used for comparing univariate data between different groups. It provides a comprehensive view of the distribution of values within each group, offering insights into central tendency, spread, and shape of the data distribution. The Beanplot integrates elements of Barcode Plots , Density Plots , and Rug Plots, resulting in a rich depiction of the data.

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10 highest-paying IT skills for 2024

CIO Business Intelligence

IT has always been known as a lucrative industry for job seekers, but in the past year, with increased layoffs, some of that confidence has wavered. According to a report from Indeed , a large part of this shift has come as organizations focus more on adopting AI in the workplace. As a result, AI skills are now among the most sought-after skills, even as companies retrench via layoffs.

IT 119
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The Psychology of Data Visualization: How to Present Data that Persuades

KDnuggets

This article discusses the psychology of data visualization, including the principles and techniques that underpin the creation of persuasive and effective visuals.

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Preprocessing Layers in TensorFlow Keras

Analytics Vidhya

Introduction Explore the power of TensorFlow Keras preprocessing layers! This article will show you the tools that TensorFlow Keras gives you to get your data ready for neural networks quickly and easily. Keras’s flexible preprocessing layers are extremely handy when working with text, numbers, or images. We’ll examine the importance of these layers and how […] The post Preprocessing Layers in TensorFlow Keras appeared first on Analytics Vidhya.

Analytics 307
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Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity

Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO

The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.

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Achieve near real time operational analytics using Amazon Aurora PostgreSQL zero-ETL integration with Amazon Redshift

AWS Big Data

“Data is at the center of every application, process, and business decision. When data is used to improve customer experiences and drive innovation, it can lead to business growth,” – Swami Sivasubramanian , VP of Database, Analytics, and Machine Learning at AWS in With a zero-ETL approach, AWS is helping builders realize near-real-time analytics. Customers across industries are becoming more data driven and looking to increase revenue, reduce cost, and optimize their business operations by impl

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FedRAMP In Process Designation, A Milestone in Cybersecurity Commitment

Cloudera

It’s been said that the Federal Government is one of, if not the largest, producer of data in the United States, and this data is at the heart of mission delivery for agencies across the civilian to DoD spectrum. Data is critical to driving the innovation and decision-making that improves services, streamlines operations and strengthens national security.

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Building the human firewall: Navigating behavioral change in security awareness and culture

IBM Big Data Hub

The latest findings of the IBM X-Force® Threat Intelligence Index report highlight a shift in the tactics of attackers. Rather than using traditional hacking methods, there has been a significant 71% surge in attacks where criminals are exploiting valid credentials to infiltrate systems. Info stealers have seen a staggering 266% increase in their utilization, emphasizing their role in acquiring these credentials.

Metrics 75
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AI adoption accelerates as enterprise PoCs show productivity gains

CIO Business Intelligence

Like other CIOs, Katrina Redmond has been inundated with opportunities to deploy AI that promise to speed business and operations processes, and optimize workflows. “Everyone is running around trying to apply this technology that’s moving so fast, but without business outcomes, there’s no point to it,” says Redmond, CIO at power management systems manufacturer Eaton Corp.

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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.

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5 Free Courses to Master Math for Data Science

KDnuggets

Want to learn math for data science? Check out these three courses to learn linear algebra, calculus, statistics, and more.

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Stability AI Unveils Stable Audio 2.0: A Game-Changer in AI-Generated Music

Analytics Vidhya

Stability AI has announced the release of Stable Audio 2.0, marking a significant upgrade to its AI music generation platform. This latest version promises to revolutionize the landscape of AI-generated audio, offering enhanced features and capabilities to artists and musicians worldwide. Let’s explore these new updates in AI-generated music. Also Read: Stability AI Releases Stable […] The post Stability AI Unveils Stable Audio 2.0: A Game-Changer in AI-Generated Music appeared first on An

Analytics 308
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Use Apache Iceberg in your data lake with Amazon S3, AWS Glue, and Snowflake

AWS Big Data

This post is co-written with Andries Engelbrecht and Scott Teal from Snowflake. Businesses are constantly evolving, and data leaders are challenged every day to meet new requirements. For many enterprises and large organizations, it is not feasible to have one processing engine or tool to deal with the various business requirements. They understand that a one-size-fits-all approach no longer works, and recognize the value in adopting scalable, flexible tools and open data formats to support inte

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Learn About Cloudera’s Partner Network

Cloudera

Businesses around the world rely on an extensive network of partnerships to deliver quality customer experiences—and it’s no different here at Cloudera. Cloudera is building a robust partner ecosystem to meet the unique needs of its customers, working to provide exceptional and fulfilling experiences that help make Cloudera a leader in the multi-cloud data platform space.

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Addressing Top Enterprise Challenges in Generative AI with DataRobot

The buzz around generative AI shows no sign of abating in the foreseeable future. Enterprise interest in the technology is high, and the market is expected to gain momentum as organizations move from prototypes to actual project deployments. Ultimately, the market will demand an extensive ecosystem, and tools will need to streamline data and model utilization and management across multiple environments.

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IBM researchers to publish FHE challenges on the FHERMA platform

IBM Big Data Hub

To foster innovation in fully homomorphic encryption (FHE), IBM® researchers have begun publishing challenges on the FHERMA platform for FHE challenges launched in late 2023 by the Fair Math and the OpenFHE community. FHE: A new frontier in technology Fully homomorphic encryption is a groundbreaking technology with immense potential. One of its notable applications lies in enhancing medical AI models.

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Avoid generative AI malaise to innovate and build business value

CIO Business Intelligence

Despite the promise generative AI holds for boosting corporate productivity, closing the gap between its potential and business value remains one of CIOs’ chief challenges. It isn’t for lack of effort, as recent research suggests. Sixty-six percent of C-level executives are ambivalent or dissatisfied with the progress of their AI or GenAI efforts, according to Boston Consulting Group 1.

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7 Steps to Mastering Data Engineering

KDnuggets

The only data engineering roadmap you need for an introduction to concepts, tools, and techniques to collect, store, transform, analyze, and model data.

Modeling 127
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OpenAI Introduces GPT-4 Turbo with Enhanced Vision Capabilities

Analytics Vidhya

OpenAI, the developer of ChatGPT, has recently unveiled an upgraded version of its GPT-4 Turbo model. This latest iteration comes with enhanced vision capabilities, marking a significant leap in artificial intelligence (AI). With the integration of vision analysis features, GPT-4 Turbo offers a seamless fusion of text and image processing. Let’s find out how this […] The post OpenAI Introduces GPT-4 Turbo with Enhanced Vision Capabilities appeared first on Analytics Vidhya.

Modeling 316
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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.