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 183
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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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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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Beyond the Basics of A/B Tests: Innovative Experimentation Tactics You Need to Know as a Data or Product Professional

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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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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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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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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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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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.

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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 144
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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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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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ColBERT – Improve Retrieval Performance with Token Level Vector Embeddings

Analytics Vidhya

Introduction Retrieval Augmented-Generation (RAG) has taken the world by Storm ever since its inception. RAG is what is necessary for the Large Language Models (LLMs) to provide or generate accurate and factual answers. We solve the factuality of LLMs by RAG, where we try to give the LLM a context that is contextually similar to […] The post ColBERT – Improve Retrieval Performance with Token Level Vector Embeddings appeared first on Analytics Vidhya.

Modeling 313
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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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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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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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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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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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4 ways generative AI addresses manufacturing challenges

IBM Big Data Hub

The manufacturing industry is in an unenviable position. Facing a constant onslaught of cost pressures, supply chain volatility and disruptive technologies like 3D printing and IoT. The industry must continually optimize process, improve efficiency, and improve overall equipment effectiveness. At the same time, there is this huge sustainability and energy transition wave.

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AI Startup Mistral Releases New Open Source Model Mixtral 8x22B

Analytics Vidhya

French startup, Mistral AI, has launched its latest large language model (LLM), Mixtral 8x22B, into the artificial intelligence (AI) landscape. Similar to its previous models, this too aligns with Mistral’s commitment to open-source development. This impressive new model positions the company as a formidable competitor to industry giants like OpenAI, Meta, and Google.

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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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The Role of Data Structures and Algorithms in Software Development

Smart Data Collective

Explore how data structures and algorithms power software development. Learn key concepts and best practices for efficient coding.

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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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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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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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Monetizing Analytics Features

Think your customers will pay more for data visualizations in your application? Five years ago, they may have. But today, dashboards and visualizations have become table stakes. Turning analytics into a source of revenue means integrating advanced features in unique, hard-to-steal ways. Download this white paper to discover which features will differentiate your application and maximize the ROI of your analytics.

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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.

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Gemini 1.5 Pro Goes Global with Powerful New Features

Analytics Vidhya

Introduction Google AI’s powerhouse language model, Gemini 1.5 Pro, has taken a significant step forward with its public preview release. Now accessible in over 180 countries via the Gemini API, this update boasts new features designed to empower developers and redefine human-computer interaction. This article digs deep into Gemini 1.5 Pro’s exciting new capabilities, accompanied […] The post Gemini 1.5 Pro Goes Global with Powerful New Features appeared first on Analytics Vidh

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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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Introducing Amazon MWAA larger environment sizes

AWS Big Data

Amazon Managed Workflows for Apache Airflow (Amazon MWAA) is a managed service for Apache Airflow that streamlines the setup and operation of the infrastructure to orchestrate data pipelines in the cloud. Customers use Amazon MWAA to manage the scalability, availability, and security of their Apache Airflow environments. As they design more intensive, complex, and ever-growing data processing pipelines, customers have asked us for additional underlying resources to provide greater concurrency an

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Innovation Systems: Advancing Practices to Create New Value

As technology transforms the global business landscape, companies need to examine and update their internal processes for innovation to keep pace. Ultimately, organizations will have to improve the velocity of innovation by creating repeatable processes that support ideation, exploration, and incubation, essential to capturing an idea’s full value.

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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.

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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.

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How the Masters uses watsonx to manage its AI lifecycle

IBM Big Data Hub

At the Masters®, storied tradition meets state-of-the-art technology. Through a partnership spanning more than 25 years, IBM has helped the Augusta National Golf Club capture, analyze, distribute and use data to bring fans closer to the action, culminating in the AI-powered Masters digital experience and mobile app. Now, whether they’re lining the fairways or watching from home, fans can more fully appreciate the performance of the world’s best golfers at the sport’s most

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Top 7 Artificial Intelligence (AI) Internships for Freshers

Analytics Vidhya

Introduction In the rapidly evolving field of artificial intelligence (AI), where technology is developing at a dizzying rate and innovation is shaping the future, internships become essential entry points for future professionals. By bridging the gap between academic knowledge and practical application, these immersive learning activities offer priceless insights, skills, and networking possibilities.

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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating