Sat.Feb 17, 2024 - Fri.Feb 23, 2024

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New-Gen Text-to-Video Tool: Sora by OpenAI

Analytics Vidhya

Introduction The ongoing evolution of AI-driven video creation technology continues. Its undeniable impact is reshaping and democratizing the entire video production landscape, representing a significant leap in AI’s role in video creation. But have you ever thought one could create an HD video just by writing a prompt? With the advancements in artificial intelligence, particularly […] The post New-Gen Text-to-Video Tool: Sora by OpenAI appeared first on Analytics Vidhya.

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The Art of Data Buck-Passing 101: Mastering the Blame Game in Data and Analytic Teams

DataKitchen

The Art of Data Buck-Passing 101: Mastering the Blame Game in Data and Analytic Teams Welcome, dear readers, to the hallowed halls of Data Buck-Passing University, where the motto is “ Per Alios Culpa Transfertur ” (Blame is Transferred to Others). In the world of data and analytics, one skill stands timeless and universal: the art of blaming someone else when things go sideways.

Analytics 187
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Documenting Critical Data Elements

TDAN

Many Data Governance or Data Quality programs focus on “critical data elements,” but what are they and what are some key features to document for them? A critical data element is any data element in your organization that has a high impact on your organization’s ability to execute its business strategy.

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Look Out: Computer Vision in AI is Coming Into Sight

David Menninger's Analyst Perspectives

Unstructured data has been a significant factor in data lakes and analytics for some time. Twelve years ago, nearly a third of enterprises were working with large amounts of unstructured data. As I’ve pointed out previously , unstructured data is really a misnomer. The data is structured; it's just not structured into rows and columns that fit neatly into a relational table like much of the other information enterprises process.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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IT leaders turn to HBCUs for future IT talent

CIO Business Intelligence

Officials at the North Carolina Department of Information Technology found themselves in a position familiar to most IT organizations: aware of the need to do more to attract IT workers given that they — like most employers — faced fierce competition for talent. They also believed they needed to take more responsibility for increasing the diversity of workers in their IT ranks.

IT 137
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Python in Finance: Real Time Data Streaming within Jupyter Notebook

KDnuggets

Learn a modern approach to stream real-time data in Jupyter Notebook. This guide covers dynamic visualizations, a Python for quant finance use case, and Bollinger Bands analysis with live data.

Finance 121

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The Role of Artificial Intelligence in Enhancing Data Security

Smart Data Collective

The power of Artificial Intelligence (AI) has been proven unmatched in recent years. It is no longer a subject of our imagination. AI has become a reality, and it is becoming clearer by the day that it can change the world for the better. But can artificial intelligence help us in enhancing data security?

IT 102
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Operationalizing responsible AI principles for defense

IBM Big Data Hub

Artificial intelligence (AI) is transforming society, including the very character of national security. Recognizing this, the Department of Defense (DoD) launched the Joint Artificial Intelligence Center (JAIC) in 2019, the predecessor to the Chief Digital and Artificial Intelligence Office (CDAO), to develop AI solutions that build competitive military advantage, conditions for human-centric AI adoption, and the agility of DoD operations.

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Why Low-Code No-Code is Important for BI Tools!

Smarten

Consider the Benefits of Low Code No Code for Augmented Analytics! Low code/no code (LCNC) application development is regarded as an innovative step in the future of software development. With its reusable components, drag-and-drop features, visual creation process, and emphasis on digital democracy, opting for low code/no code application development becomes essential.

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Understanding the Python Global Interpreter Lock (GIL)

Analytics Vidhya

Introduction Python is a popular programming language known for its simplicity and versatility. However, it has a unique feature called the Global Interpreter Lock (GIL) that sets it apart from other languages. In this article, we will delve into the details of the GIL, its purpose, and its impact on Python’s performance. What is the […] The post Understanding the Python Global Interpreter Lock (GIL) appeared first on Analytics Vidhya.

Analytics 339
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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

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Corporate Responsibility in the Age of AI

O'Reilly on Data

Since its release in November 2022, almost everyone involved with technology has experimented with ChatGPT: students, faculty, and professionals in almost every discipline. Almost every company has undertaken AI projects, including companies that, at least on the face of it, have “no AI” policies. Last August, OpenAI stated that 80% of Fortune 500 companies have ChatGPT accounts.

Insurance 183
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DataKitchen Resource Guide To Data Journeys & Data Observability & DataOps

DataKitchen

DataKitchen Resource Guide To Data Journeys & Data Observability & DataOps Data (and Analytic) Observability & Data Journey – Ideas and Background Data Journey Manifesto and Why the Data Journey Manifesto? Five Pillars of Data Journeys Data Journey First DataOps “You Complete Me,” said Data Lineage to Data Journeys. Bridging the Gap: How ‘Data in Place’ and ‘Data in Use’ Define Complete Data Observability The Need For Personalized Data Journeys for Your Data Consumers Data Te

Testing 118
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Higher-ed CIOs embrace academia’s AI challenges

CIO Business Intelligence

CIOs on university campuses across the country have an obligation, as technology leaders, to provide the tools and expertise that staff, administration, and professors require to help fulfill the potential of students, and the university itself. But their commitment is becoming more demanding and complex as AI, in its many applications, rises to the top of the syllabus.

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Mistral Next: The Latest GPT-4 Competitor from Mistral AI

Analytics Vidhya

French AI startup Mistral AI has unveiled its latest prototype language model, “Mistral Next,” sparking excitement and curiosity within the tech community. Positioned as a potential competitor to renowned models like GPT-4, Mistral Next promises advanced capabilities and a commitment to ethical conversation. Let’s delve into the details of this new release.

Modeling 323
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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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A Roadmap For Your Data Career

KDnuggets

As you design your career in data, you’ve got to avoid getting stuck in your comfort zone or allowing your manager or current situation to determine your path.

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Climate change predictions: Anticipating and adapting to a warming world

IBM Big Data Hub

In an era of accelerating climate change , predicting the near-future can yield major benefits. For instance, when utility officials are aware that a heat wave is on its way, they can plan energy procurement to prevent power outages. When farmers in drought-prone regions are able to predict which crops are susceptible to failure , they can deploy additional irrigation.

Modeling 113
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Kyndryl bets on partnerships, consulting arm to redeem itself

CIO Business Intelligence

IBM spin-off Kyndryl is betting on its consulting arm, dubbed Kyndryl Consult, to return to growth by rapidly expanding its partnership ecosystem to deliver more diversified offerings. “We have established an ecosystem of around 30 partners since our spin from IBM well over 24 months ago. Our most recent global partnerships were announced late last year with Palo Alto Networks and Dynatrace,” said Mark Slaga, global practice leader at Kyndryl Consult.

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30+ MCQs on Python Error Handling (try-except)

Analytics Vidhya

Welcome to the Python Error Handling MCQ Quiz! Error handling is an essential aspect of programming, and Python provides powerful mechanisms to manage exceptions and errors that may occur during program execution. This quiz aims to test your understanding of various concepts related to error handling in Python, including try and except blocks, raising and […] The post 30+ MCQs on Python Error Handling (try-except) appeared first on Analytics Vidhya.

Testing 318
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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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Simplify data streaming ingestion for analytics using Amazon MSK and Amazon Redshift

AWS Big Data

Towards the end of 2022, AWS announced the general availability of real-time streaming ingestion to Amazon Redshift for Amazon Kinesis Data Streams and Amazon Managed Streaming for Apache Kafka (Amazon MSK) , eliminating the need to stage streaming data in Amazon Simple Storage Service (Amazon S3) before ingesting it into Amazon Redshift. Streaming ingestion from Amazon MSK into Amazon Redshift, represents a cutting-edge approach to real-time data processing and analysis.

Analytics 114
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Navigating the Data Revolution: Exploring the Booming Trends in Data Science and Machine Learning

KDnuggets

Dive into transformative trends in data science, encompassing AI-powered automation, NLP, ethical considerations, decentralized computing, and interdisciplinary collaboration.

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Google integrates Gemini AI into enterprise tools

CIO Business Intelligence

Tech major Google has announced that it is replacing Duet AI for Google Workspace with Gemini for Google Workspace as it attempts to offer an alternative to ChatGPT Enterprise. Duet AI for Workspace offered AI integration with Google’s popular applications like Docs and Gmail. The company also announced the launch of two plans, Gemini Business, and Gemini Enterprise, to help businesses of all sizes leverage AI for growth.

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Top 7 Strategies to Mitigate Hallucinations in LLMs

Analytics Vidhya

The introduction of Large Language Models (LLMs) has brought in a significant paradigm shift in artificial intelligence (AI) and machine learning (ML) fields. With their remarkable advancements, LLMs can now generate content on diverse topics, address complex inquiries, and substantially enhance user satisfaction. However, alongside their progression, a new challenge has surfaced: Hallucinations.

Strategy 306
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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

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Reference guide to analyze transactional data in near-real time on AWS

AWS Big Data

Business leaders and data analysts use near-real-time transaction data to understand buyer behavior to help evolve products. The primary challenge businesses face with near-real-time analytics is getting the data prepared for analytics in a timely manner, which can often take days. Companies commonly maintain entire teams to facilitate the flow of data from ingestion to analysis.

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Prompt Engineering: An Integrated Dream

KDnuggets

Clickbait headlines like "AI's Hottest Job" have promised a career that anyone who knows how to chat with AI could pay a six-figure salary with no computer background. But is this reality, or just another internet pipe dream? Let's ditch the sensationalism and delve into the actual job market data to find out.

Marketing 112
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Build trust to win out with genAI

CIO Business Intelligence

Over the past 12 months, generative AI has generated fervor and fear in almost equal measure. We’ve all marveled at the tech’s ability to pass bar exams or create award winning photography. But that level of ingenuity is deeply unsettling for many consumers, who perhaps prefer to know that the humans are still at the wheel. This presents a conundrum for many of today’s business leaders.

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Boost Organic Traffic with Surfer SEO Tool

Analytics Vidhya

Introduction Are you tired of doing regular SEO and couldn’t get the result you were anticipating? If yes, then you are on the right path of learning. If you ask me what process a company should adopt for a profitable and scalable SEO, I would suggest – Planning with keywords, writing with a good content […] The post Boost Organic Traffic with Surfer SEO Tool appeared first on Analytics Vidhya.

Analytics 298
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Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

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Data Recovery Services Are Crucial in the Big Data Era

Smart Data Collective

In a world increasingly reliant on data analytics for decision-making and strategic planning, the importance of data recovery cannot be overstated. Data loss or corruption can have severe consequences, disrupting business operations, compromising valuable insights, and potentially leading to financial losses or reputational damage.

Big Data 101
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7 Free Kaggle Micro-Courses for Data Science Beginners

KDnuggets

Interested in learning data science? Check out these free micro-courses from Kaggle to learn essential data science skills.

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4 hidden risks of your enterprise cloud strategy

CIO Business Intelligence

As enterprise CIOs seek to find the ideal balance between the cloud and on-prem for their IT workloads, they may find themselves dealing with surprises they did not anticipate — ones where the promise of the cloud, and cloud vendors, fall short versus the realities of enterprise IT. While cloud risk analysis should be no different than any other third-party risk analysis, many enterprises treat the cloud more gently, taking a less thorough approach.

Risk 131
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Understanding Python Closures: Deep Dive into Functional Programming

Analytics Vidhya

Introduction Python’s elegance lies in its syntax and rich set of programming constructs, among which closures stand out as a powerful tool for encapsulation and code organization. Closures enable functions to retain access to variables from their enclosing scope, fostering modularity and enhancing code clarity. In this exploration of closures, we unravel their inner workings […] The post Understanding Python Closures: Deep Dive into Functional Programming appeared first on Analytics

Analytics 290
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Data Modeling for Direct Mail: Boosting Multi-Channel Reach and Response

Speaker: Jesse Simms, VP at Giant Partners

This new, thought-provoking webinar will explore how even incremental efforts and investments in your data can have a tremendous impact on your direct mail and multi-channel marketing campaign results! Industry expert Jesse Simms, VP at Giant Partners, will share real-life case studies and best practices from client direct mail and digital campaigns where data modeling strategies pinpointed audience members, increasing their propensity to respond – and buy.