Analytics Vidhya

NOVEMBER 19, 2022

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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Data Science Publishing Analytics Management 327

CIO Business Intelligence

NOVEMBER 21, 2022

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.

Software 98

Software Management Unstructured Data Data Governance 98

Smart Data Collective

NOVEMBER 20, 2022

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.

Cost-Benefit 122

Cost-Benefit Risk Optimization Management 122

KDnuggets

NOVEMBER 21, 2022

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

Analytics 134

Analytics IT Data Science 134

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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

Optimization

Smart Data Collective

NOVEMBER 20, 2022

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.

Technology 127

Technology Unstructured Data Strategy Cost-Benefit 127

Jet Global

NOVEMBER 21, 2022

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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Reporting Finance Software Sales 52

Analytics Vidhya

NOVEMBER 22, 2022

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 […].

Data Science 380

Data Science Publishing Analytics IT 380

David Menninger's Analyst Perspectives

NOVEMBER 22, 2022

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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Risk Technology IT 289

KDnuggets

NOVEMBER 23, 2022

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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Data Science Machine Learning Analytics 160

CIO Business Intelligence

NOVEMBER 22, 2022

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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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?

Business Intelligence

Analytics Vidhya

NOVEMBER 22, 2022

This article was published as a part of the Data Science Blogathon. Introduction Viruses are well-known etiological agents to cause a broad spectrum of diseases in humans, animals, and plants. In the last few decades, viral infections have emerged and have been responsible for life-threatening to humankind and the worldwide economy. As evident by historical […].

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Manufacturing Data Science Publishing Analytics 356

Smart Data Collective

NOVEMBER 20, 2022

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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KDnuggets

NOVEMBER 23, 2022

Yellowbrick for creating machine learning plots with less code.

Machine Learning 160

Machine Learning Visualization Data Science 160

CIO Business Intelligence

NOVEMBER 21, 2022

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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Unstructured Data Interactive Data-driven Dashboards 145

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📌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.

Data-driven

Analytics Vidhya

NOVEMBER 23, 2022

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 […].

Data Science 349

Data Science Publishing Analytics IT 349

Smart Data Collective

NOVEMBER 20, 2022

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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KDnuggets

NOVEMBER 25, 2022

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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Machine Learning 157

CIO Business Intelligence

NOVEMBER 22, 2022

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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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.

Marketing

Analytics Vidhya

NOVEMBER 23, 2022

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 […].

Management 348

Management Data Science Publishing Analytics 348

Smart Data Collective

NOVEMBER 24, 2022

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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Visualization Advertising Marketing Risk 136

KDnuggets

NOVEMBER 24, 2022

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

Data Science 148

Data Science Machine Learning IT 148

CIO Business Intelligence

NOVEMBER 25, 2022

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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Data Lake Data Warehouse Unstructured Data Data Architecture 128

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Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

Reporting

Analytics Vidhya

NOVEMBER 21, 2022

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-driven Data Science Publishing Analytics 343

Smart Data Collective

NOVEMBER 22, 2022

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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Risk Predictive Analytics Data-driven Marketing 131

KDnuggets

NOVEMBER 21, 2022

A Comprehensive Guide to SHAP and Shapley Values.

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Machine Learning Modeling 145

CIO Business Intelligence

NOVEMBER 23, 2022

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.

Risk 128

Risk Consulting Enterprise Technology 128

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

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.

Business Intelligence

Analytics Vidhya

NOVEMBER 23, 2022

This article was published as a part of the Data Science Blogathon. Introduction Web apps are the apps through which you can showcase your solution or approach to the public at a mass level. Creating the model is not enough until it’s in use by people. When it comes to delivering the solution then, everyone […]. The post Build AI Web App using Azure Cognitive Services appeared first on Analytics Vidhya.

Data Science 342

Data Science Publishing Modeling Analytics 342

Smart Data Collective

NOVEMBER 23, 2022

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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Machine Learning Testing Cost-Benefit Publishing 129

Timo Elliott

NOVEMBER 22, 2022

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

Digital Transformation 122

Digital Transformation Data Architecture Sales Interactive 122

CIO Business Intelligence

NOVEMBER 23, 2022

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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Enterprise Cost-Benefit Digital Transformation Strategy 128

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.

Data-driven