Sat.Mar 30, 2024 - Fri.Apr 05, 2024

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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 140
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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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Trending Sources

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The Importance of Data Due Diligence

TDAN

Acquiring an existing business can be an exceptional way to make your entrepreneurial dreams come to life — or even diversify your investment portfolio. But, unless you do your research well, you’re opening yourself up to a lot of unnecessary risk.

Risk 52
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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 154
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Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence. There's no question that it is challenging to figure out where to focus and how to advance when it’s a new field that is evolving everyday. 💡 This new webinar featuring Maher Hanafi, CTO of Betterworks, will explore a practical framework to transform Generative AI prototypes into

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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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Using generative AI to accelerate product innovation

IBM Big Data Hub

Generative artificial intelligence (GenAI) can be a powerful tool for driving product innovation, if used in the right ways. We’ll discuss select high-impact product use cases that demonstrate the potential of AI to revolutionize the way we develop, market and deliver products to customers. Stacking strong data management, predictive analytics and GenAI is foundational to taking your product organization to the next level. 1.

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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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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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Replit Launches AI Code Repair Tool

Analytics Vidhya

Replit, an AI-driven software creation platform, has enhanced its Integrated Development Environment (IDE) through AI integration. At the Developer Day event held on April 2nd, Replit launched an innovative AI code repair tool and a collaborative platform named Replit Teams on its IDE. Replit Teams aims to provide developers with a new experience in collaboration […] The post Replit Launches AI Code Repair Tool appeared first on Analytics Vidhya.

Software 271
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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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Leading the Development of Profitable and Sustainable Products

Speaker: Jason Tanner

While growth of software-enabled solutions generates momentum, growth alone is not enough to ensure sustainability. The probability of success dramatically improves with early planning for profitability. A sustainable business model contains a system of interrelated choices made not once but over time. Join this webinar for an iterative approach to ensuring solution, economic and relationship sustainability.

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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.

Data Lake 131
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Cloudera Named a Visionary in the Gartner MQ for Cloud DBMS

Cloudera

We’re excited to share that Gartner has recognized Cloudera as a Visionary among all vendors evaluated in the 2023 Gartner® Magic Quadrant for Cloud Database Management Systems. This recognition underscores Cloudera’s commitment to continuous customer innovation and validates our ability to foresee future data and AI trends, and our strategy in shaping the future of data management.

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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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5 Data Analyst Projects to Land a Job in 2024

KDnuggets

Here’s how to stand out from the competition, impress employers, and get a job in data analytics.

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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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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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Amazon DataZone now integrates with AWS Glue Data Quality and external data quality solutions

AWS Big Data

Today, we are pleased to announce that Amazon DataZone is now able to present data quality information for data assets. This information empowers end-users to make informed decisions as to whether or not to use specific assets. Many organizations already use AWS Glue Data Quality to define and enforce data quality rules on their data, validate data against predefined rules , track data quality metrics, and monitor data quality over time using artificial intelligence (AI).

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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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The Rise of Chief AI Officer

KDnuggets

The C-suite of business, technology, and data executives sees a new addition – the CAIO (Chief AI Officer). But what does this role mean for the organizations? Let’s find out!

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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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Digital transformation’s fundamental change management mistake

CIO Business Intelligence

Over the past decade, CIOs have invested significantly in digital transformation initiatives in an effort to improve customer experiences, build data analytics capabilities, and deliver productivity enhancements with automation. Underpinning these initiatives is a slew of technology capabilities and strategies aimed at accelerating delivery cycles, such as establishing product management disciplines, building cloud architectures, developing devops capabilities, and fostering agile cultures.

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AI recommendations for descriptions in Amazon DataZone for enhanced business data cataloging and discovery is now generally available

AWS Big Data

In March 2024, we announced the general availability of the generative artificial intelligence (AI) generated data descriptions in Amazon DataZone. In this post, we share what we heard from our customers that led us to add the AI-generated data descriptions and discuss specific customer use cases addressed by this capability. We also detail how the feature works and what criteria was applied for the model and prompt selection while building on Amazon Bedrock.

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Guide to Fine-tuning Gemini for Masking PII Data

Analytics Vidhya

Introduction With the advent of Large Language Models (LLMs), they have permeated numerous applications, supplanting smaller transformer models like BERT or Rule Based Models in many Natural Language Processing (NLP) tasks. LLMs are versatile, capable of handling tasks such as Text Classification, Summarization, Sentiment Analysis, and Topic Modelling, owing to their extensive pre-training.

Modeling 302
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A Beginner’s Guide to the Top 10 Machine Learning Algorithms

KDnuggets

Data science’s essence lies in machine learning algorithms. Here are ten algorithms that are a great introduction to machine learning for any beginner!

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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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EU and US agree to chart common course on AI regulation

CIO Business Intelligence

The European Union and the US have agreed to increase co-operation in the development of technologies based on artificial intelligence (AI), placing a particular emphasis on safety and governance. The announcement came at the end of a meeting of the EU-US Trade and Technology Council in Leuven, Belgium, on Friday, and followed this week’s broadly similar pact between the US and UK on AI safety.

Risk 128
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Deliver decompressed Amazon CloudWatch Logs to Amazon S3 and Splunk using Amazon Data Firehose

AWS Big Data

You can use Amazon Data Firehose to aggregate and deliver log events from your applications and services captured in Amazon CloudWatch Logs to your Amazon Simple Storage Service (Amazon S3) bucket and Splunk destinations, for use cases such as data analytics, security analysis, application troubleshooting etc. By default, CloudWatch Logs are delivered as gzip-compressed objects.

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Cohere Launches Command R+ on Azure, Leading the Way in Enterprise AI

Analytics Vidhya

Cohere, a leading provider of enterprise-grade AI solutions, has chosen Microsoft Azure as the launch platform for its new large language model (LLM), Command R+. This decision, despite a long-standing partnership with Oracle, marks a significant shift in Cohere’s approach to cloud deployment. Let’s explore the features and implications of this new model.

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Distribute and Run LLMs with llamafile in 5 Simple Steps

KDnuggets

Do you want to know how to run LLMs on your computer without installing a lot of dependencies or writing code? Well, you're in luck! By the end of this tutorial, you will have successfully run an LLM using llamafile and interacted with it through a user-friendly interface.

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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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The complex patchwork of US AI regulation has already arrived

CIO Business Intelligence

As artificial intelligence adoption has surged in the past year, many voices have called for regulation to protect people from adverse machine decisions — and regulatory bodies are responding with a complex patchwork of emerging statutes and mandates that CIOs will need to navigate to ensure their AI strategies are compliant wherever their organizations do business.

Risk 118
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The Future of Data-Driven Web Development: Trends and Technologies

Smart Data Collective

Big data has led to major breakthroughs in the web development profession in recent years.

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Difference Between == and is Operator in Python

Analytics Vidhya

Introduction In Python, the == and is operators are often used for comparison by programmers. Although they might seem similar at first glance, they are understood to operate differently, and their differences are considered important for anyone coding in Python to grasp. We will discuss in this article how each of these operators function and […] The post Difference Between == and is Operator in Python appeared first on Analytics Vidhya.

Analytics 288
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5 AI Courses From Google to Advance Your Career

KDnuggets

Start your AI journey today with these courses from Google.

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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.