Sat.Nov 19, 2022 - Fri.Nov 25, 2022

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Understanding the Concepts of Teradata

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction With the growing social media culture and trends, the amount of data produced daily is increasing drastically. To handle this massive amount of data efficiently, Teradata is becoming an asset to firms. Teradata is ruling over firms, having a large volume of […]. The post Understanding the Concepts of Teradata appeared first on Analytics Vidhya.

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The Movement to Modernized Content Management Software

CIO Business Intelligence

By Milan Shetti, CEO Rocket Software If you ask business leaders to name their company’s most valuable asset, most will say data. But while businesses recognize the value of data, few have the processes and tools in place to access its full potential. In our most recent Rocket survey, 46% of IT professionals indicate that at least half of their content is “dark data”— meaning it’s processed but never used.

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Challenges of Hiring Dedicated Developers for AI Projects

Smart Data Collective

AI technology is clearly changing our world for the better. One survey found that 86% of CEOs believe AI is essential to their offices. Around two-thirds of consumers believe that AI will improve safety with cars. The global market for AI is over $328 billion and that figure is growing 20% a year. However, it can only keep growing if companies invest in it and hire the best programmers.

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How to Use Graph Theory to Scout Soccer

KDnuggets

Take Soccer Analytics to the Next Level with Graph Theory: Here’s What to Know and How to Do It.

Analytics 126
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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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Cloud Technology Can Reduce Employee Turnover by Improving Communication

Smart Data Collective

All employees suffer when the tech and their teams aren’t working at their best capacity. The entire office suffers even more when skilled people leave the company. The lack of the right resources, technology, and, most importantly, communication channels could bring unwarranted stress to the organization. The biggest challenge of today is retaining employees.

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Why Farm-Fresh Data Makes for Healthier Spreadsheets

Jet Global

Is your spreadsheet eating healthy, or growing out of shape on a junk food diet? This might seem like a weird question, but much like the average person, spreadsheet performance will drop if all it consumes is unhealthy data. Untended manual processes are clogging your reporting arteries with the risk of human error and time-consuming workflows. This means far slower data extraction times and heart problems from inaccurate, outdated information slipping into your reporting.

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A Comprehensive Guide for Interview Questions on Classical NLP

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: Arxiv|Search Engine Journal Introduction As it is common knowledge that natural language processing is one of the most popular and competitive in the current global IT sector. All of the top organizations and budding startups are on the lookout for candidates with […].

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Cloud Computing Realities Part 3: Business Continuity

David Menninger's Analyst Perspectives

In my previous perspectives on cloud computing, I addressed some of the realities of cloud costs as well as hybrid and multi-cloud architectures. In the midst of the pandemic, my colleague, Mark Smith, authored a series of perspectives on considerations for business continuity in general, beginning with this look at some of the investments organizations must make to mitigate the risk of business disruptions.

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How Much Math Do You Need in Data Science?

KDnuggets

There exist so many great computational tools available for Data Scientists to perform their work. However, mathematical skills are still essential in data science and machine learning because these tools will only be black-boxes for which you will not be able to ask core analytical questions without a theoretical foundation.

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7 enterprise data strategy trends

CIO Business Intelligence

Every enterprise needs a data strategy that clearly defines the technologies, processes, people, and rules needed to safely and securely manage its information assets and practices. As with just about everything in IT, a data strategy must evolve over time to keep pace with evolving technologies, customers, markets, business needs and practices, regulations, and a virtually endless number of other priorities.

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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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4 Artificial Intelligence Approaches to Watch Out For

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Artificial intelligence (AI) is the most dynamic stream in the world. Humans have always been curious about their abilities to predict, understand, act, and make decisions. Now, we can learn everything about it and create intelligent entities with this universal field of […].

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Why Big Data Is The Future Of Sales And Marketing

Smart Data Collective

Proper marketing and sales prospects play a huge role in improving the success rate of your business. The strategy can either be offline or digital. However, digital marketing has become the major focus of marketers across all industries, mainly due to how customers interact and engage with modern businesses. Seeing an opportunity and knowing how and when to take advantage of it defines the majority of where today’s marketers stand.

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The Inescapable Conclusion: Machine Learning Is Not Like Your Brain

KDnuggets

The final article in this nine-part series summarizes the many reasons why Machine Learning is not like your brain - along with a few similarities.

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Human and AI Partnerships Are Integral to the Future of Customer Experience

CIO Business Intelligence

The age-old debate on technology versus human capability remains inconclusive. But in this time of artificial intelligence (AI), analytics, and cloud, we’re seeing more opportunities to think of how humans and machines can come together as a team, rather than acting against each other. From diagnosing diseases and delivering effortless customer experiences to understanding human preferences and providing new customer insights, the human and AI partnership is evolving — and more in sync than ever

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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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Data Lineage- Why Are Businesses Eager to Invest?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Currently, most businesses and big-scale companies are generating and storing a large amount of data in their data storage. Many companies are there which are completely data-driven. Businesses and companies are using data to get some insights about the progress and future […].

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Data Analytics Solves Manufacturing Marketing Agency Challenges

Smart Data Collective

Data analytics is unquestionably one of the most disruptive technologies impacting the manufacturing sector. Manufacturers are projected to spend nearly $10 billion on analytics by the end of the year. Data analytics can solve many of the biggest challenges that manufacturers face. One of the most significant benefits of leveraging analytics in manufacturing is with marketing optimization and automation.

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Automation With A Human Touch: Balancing Agility And Standardization

Timo Elliott

Simon Jarke is the Head of Corporate Digital Business Innovation at Freudenberg, a family-owned global technology group headquartered in Germany and founded in 1849. He recently explained how the organization has taken advantage of the latest technology advances to give business people more agility and control over their processes, without sacrificing standardization and efficiency: “I think the key to success, especially in times of digital transformation, lies in the philosophy and pract

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Leaning into Retail’s Challenges with Digital Transformation

CIO Business Intelligence

Digital transformation initiatives have picked up in the retail sector in recent years as store chains compete for brand awareness and sales in a rapidly evolving market. By 2026, retailers’ global investments in digital transformation tools are expected to reach $388 billion , growing by 18% a year. That may sound like retail leaders are all in , ready to use new technology tools to extract maximum value out of their operations; ready to embrace change and grab the future by the horns.

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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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Creating and Managing DynamoDB Tables using AWS CLI

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: [link] Introduction The AWS Command Line Interface (CLI) is a centralized management tool for managing AWS services. Through CLI, users can control services manually or automate them with powerful scripts. With this one tool, it can handle multiple AWS services from the […].

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Is Artificial Intelligence Setting A New Standard For Web Design?

Smart Data Collective

Artificial intelligence is playing an important role in modern creative professions. There are a lot of reasons a growing number of companies are turning to AI technology. One poll showed that 61% of companies found that AI and machine learning were their best data investments. One of the industries that is evolving by adopting new AI tools in web design.

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What is Chebychev’s Theorem and How Does it Apply to Data Science?

KDnuggets

Chebyshev’s Theorem applies to every data set and is heavily used by Statisticians, Data Scientists, and Machine Learning Engineers.

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Carhartt turns to data under new CIO

CIO Business Intelligence

Carhartt’s signature workwear is near ubiquitous, and its continuing presence on factory floors and at skate parks alike is fueled in part thanks to an ongoing digital transformation that is advancing the 133-year-old Midwest company’s operations to make the most of advanced digital technologies, including the cloud, data analytics, and AI. The company, which operates four factories in Kentucky and Tennessee and designs all its products at its Dearborn, Mich., headquarters, began its digital tra

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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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Data Lineage: Case Studies of Data-Driven Businesses

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Data lineage is the process of analyzing the path of the data and how it is involved in different methods with time. Many businesses and companies use it to get an idea of the source, data pathway, and how the data is […]. The post Data Lineage: Case Studies of Data-Driven Businesses appeared first on Analytics Vidhya.

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AI Can Amplify Benefits and Temper Risks of Bitcoin Investing

Smart Data Collective

AI technology has been invaluable to the financial industry. The amount of money that fintech companies are spending on AI is projected to grow by 16.5% a year from 2022 and 2030. AI is changing the alternative financial sector as well. For example, many bitcoin investors are finding creative ways to use AI to improve their trading strategies. In fact, AI has played a key role in the growth of bitcoin popularity.

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Developing Large Power BI Datasets – Part 2 – Partitioning

Paul Turley

Partitioning Large Tables Table partitioning has long been an important task in semantic model design using SQL Server Analysis Services. Since SSAS Tabular and Power BI models are built on top of the SSAS architecture, the pattern of partitioning remains the same as it has been for twenty years. However, the specific methods for implementation have been fine-tuned and improved.

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5 pitfalls to avoid when partnering with startups

CIO Business Intelligence

Enterprise technology leaders are actively partnering with startups to help make their organizations more innovative and agile. Co-creating with startups can help kickstart innovation , provide CIOs with access to hard-to-find skills in emerging technologies, and round out digital transformational strategies. Their unique focus and approaches to innovation can make startups a highly advantageous partner in delivering business value in ways traditional vendors can’t offer.

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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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Advantages of Using Cloud Data Platform Snowflake

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The rate of data expansion in this decade is rapid. The requirement to process and store these data has also become problematic. Today, data controls a significant portion of our lives as consumers due to advancements in wireless connectivity, processing power, and […].

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Machine Learning is Invaluable for Mobile App Testing Automation

Smart Data Collective

Machine learning technology has transformed countless fields in recent years. One of the professions affected the most by advances in machine learning is mobile app development. The market for mobile artificial intelligence is projected to be worth nearly $9.7 billion within the next five years , since machine learning helps developers create powerful new apps.

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10 Amazing Machine Learning Visualizations You Should Know in 2023

KDnuggets

Yellowbrick for creating machine learning plots with less code.

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What is enterprise architecture? A framework for transformation

CIO Business Intelligence

Enterprise architecture definition Enterprise architecture (EA) is the practice of analyzing, designing, planning, and implementing enterprise analysis to successfully execute on business strategies. EA helps organizations structure IT projects and policies to achieve desired business results, to stay agile and resilient in the face of rapid change, and to stay on top of industry trends and disruptions using architecture principles and practices, a process also known as enterprise architectural

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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.