David Menninger's Analyst Perspectives

MARCH 9, 2022

Today, organizations understand the importance of good external data that can be integrated with internal data to train machine learning models. Our Machine Learning Dynamic Insights research showed that external data adds a significant value in gaining competitive advantage, improving customer experience and increasing sales. But getting the right external data for a particular requirement is not always easy.

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Machine Learning Modeling Sales IT 264

Analytics Vidhya

MARCH 17, 2022

This article was published as a part of the Data Science Blogathon. Photo by Kanchanara on Unsplash Table of Contents Introduction Gentle Overview What is Time Series Analysis? Types of analysis ARIMA Moving Average Exponential Smoothing Heard of DogeCoin? Implementation of Dogecoin price prediction Conclusion Introduction Machine learning will automate jobs that most people thought could […].

Machine Learning 398

Machine Learning Data Science Publishing Analytics 398

datapine

MARCH 25, 2022

Table of Contents. 1) What Is Business Intelligence And Analytics? 2) BI vs BA As Seen Through Football. 3) BI And BA Main Differences. 4) How Do BI And BA Apply To Business? 5) BI And BA Use-Case Scenarios. 6) BI And BA Examples. If someone puts you on the spot, could you tell him/her what the difference between business intelligence and analytics is?

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Business Intelligence Analytics Statistics Dashboards 264

KDnuggets

MARCH 24, 2022

A tensor is a container which can house data in N dimensions, along with its linear operations, though there is nuance in what tensors technically are and what we refer to as tensors in practice.

IT 160

IT Machine Learning 160

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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

DataRobot Blog

MARCH 25, 2022

The 2022 season ignited a world of changes for McLaren Racing and Formula 1 with the biggest reengineering in modern F1 history. Each team now has a budget cap, and significant rule changes have been introduced, altering strategies and adding excitement for the fans. Another change that we’re thrilled about is that DataRobot is one of McLaren’s newest partners.

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Machine Learning Optimization Technology Strategy 145

CIO Business Intelligence

MARCH 22, 2022

Despite national conversations about a lack of women in tech, women remain largely underrepresented in STEM roles , according to a study by the National Science Foundation. And the pipeline doesn’t suggest a near-term correction, as only 19% of computer science degrees were awarded to women in 2016, down from 27% in 1997. Women also typically make less than their male counterparts in science, engineering, mathematics, and computer science occupations — with an average median salary of $66,000 pe

Software 145

Software Technology Statistics IT 145

Analytics Vidhya

MARCH 4, 2022

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will be predicting how engaging a video can be at the user level. We have been provided with a dataset that contains that user’s earlier videos engagement score along with their personal information. We will build multiple regression models […].

Data Science 390

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Smart Data Collective

MARCH 4, 2022

META: We’re breaking down the ways social media has changed businesses and how you can use these changes to get ahead. Digital technology is unquestionably changing the future of business. Two of the biggest advances in technology that are influencing the direction of business are social media and data analytics. These may seem like unrelated technologies to the average person, but they are actually closely intertwined.

Data Analytics 139

Data Analytics Analytics Data Processing Recreation/Entertainment 139

KDnuggets

MARCH 22, 2022

Becoming a Data Scientists is an exciting path, but you cannot learn data science within one year or six months—instead, it’s a lifetime process that you have to follow with proper dedication and hard work. To guide your journey, the skills outlined here are the first you must acquire to become a data scientist.

Data Science 160

Data Science 160

TDAN

MARCH 15, 2022

This isn’t the column I was intending to write for TDAN.com. I had something else nearly ready that was expanding on the broad questions of ethics in information and data management I discussed last time, drawing on some work I’m doing with an international client and a recent roundtable discussion I had with some regulators […].

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Management Risk Management Risk Data Strategy 125

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Data-driven

CIO Business Intelligence

MARCH 18, 2022

Accenture hires thousands of people each year. It’s an expensive process that traditionally has involved flying people to central hubs for training and orientation. Two years ago, the consulting giant started shipping many of its recruits virtual reality headsets instead. At the same time, it created a virtual world or “metaverse” that enables employees to socialize, form teams, conduct training, and collaborate.

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David Menninger's Analyst Perspectives

MARCH 2, 2022

Natural language processing (NLP) is a field that combines artificial intelligence (AI), data science and linguistics that enables computers to understand, interpret and manipulate text or spoken words. NLP includes generating narratives based on a set of data values, using text or speech as inputs to access information, and analysing text or speech, for instance, to determine its sentiment.

Analytics 250

Analytics Statistics Machine Learning Business Intelligence 250

Analytics Vidhya

MARCH 4, 2022

This article was published as a part of the Data Science Blogathon. Introduction As most of us are doing our jobs or attending school/college virtually, we often have to attend online meetings and we can’t expect each of our places to always be quiet. Some of us may live in a noisy environment where we can […]. The post Audio Denoiser: A Speech Enhancement Deep Learning Model appeared first on Analytics Vidhya.

Deep Learning 389

Deep Learning Modeling Data Science Publishing 389

Smart Data Collective

MARCH 21, 2022

You have probably heard a lot talk about the Internet of Things (IoT). It is one of the biggest trends driven by big data. It is popular because billions of devices will be connected in the future. The IoT sector is predicted to generate over £7.5 trillion across the world. In fact, McKinsey Global predicts homes, offices, worksites, retail settings, and factories to generate around £3.55 trillion by the end of 2025.

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Big Data Internet of Things IoT Dashboards 138

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

KDnuggets

MARCH 4, 2022

While there may always seem to be something new, cool, and shiny in the field of AI/ML, classic statistical methods that leverage machine learning techniques remain powerful and practical for solving many real-world business problems.

Statistics 160

Statistics Machine Learning Modeling 160

Cloudera

MARCH 24, 2022

Earlier this month, the multi-national carrier MTN announced a rebranding, and along with its logo refresh, announced that it was moving to focus on being a technology provider. The new look, “aligns with our evolution from a telecommunications company to a technology company,” said Nompilo Morafo, Chief Corporate Affairs officer at the company. Across APAC too, telcos are looking at the shift to becoming technology companies, and last week’s TMForum Leadership Summit “ The Tech Driven Telco ” s

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Internet of Things IoT Enterprise Data-driven 123

CIO Business Intelligence

MARCH 17, 2022

Data analytics is a domain in constant motion. Early in 2020, it seemed clear that organizations would continue to invest heavily in analytics to support their digital transformations. The COVID-19 pandemic emerged as a major disruptor. Early in the pandemic, it seemed organizations might waylay data and analytics advancements to retrench and focused on other pressing priorities like enabling a remote workforce.

Digital Transformation 145

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Dataiku

MARCH 22, 2022

The COVID-19 global pandemic forced us to experiment with how and where we work in an extensive way and many struggled with this transition. But the experience was definitely eye-opening on many levels. While some realized that they were not made for school teaching or Zoom happy hours, others explored new ways to balance their lives between work and personal activities.

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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.

Business Intelligence

Analytics Vidhya

MARCH 15, 2022

This article was published as a part of the Data Science Blogathon. Overview In this article, we will be making an application that will remove or replace the background of the image with another image. For that, we will be using the media pipe library for segmenting the person from the background and cv2 for performing […]. The post Background Removal in the Image using the Mediapipe Library appeared first on Analytics Vidhya.

Data Science 384

Data Science Publishing Analytics Machine Learning 384

Smart Data Collective

MARCH 2, 2022

Data science is a growing profession. While it involves more opportunities than ever, it also has a lot more complications. Standards and expectations are rapidly changing, especially in regards to the types of technology used to create data science projects. Most data scientists are using some form of DevOps interface these days. One of the most popular is Kubernetes.

Cost-Benefit 138

Cost-Benefit Data Science Interactive Management 138

KDnuggets

MARCH 4, 2022

How do you keep up with all the news and trends, and navigate through the endless stream of AI information? Check out this author's list of favorite AI papers sources that help you float effortlessly in the info ocean.

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Cloudera

MARCH 30, 2022

Sometimes it takes a billion-dollar mistake to bring the murkier side of data ethics into sharp focus. Equifax found this out to their own cost in 2017 when they failed to protect the data of almost 150 million users globally. The catastrophic breach was bad enough on its own — but Equifax waited three months to go public with the news. As the public furore rose to a crescendo, the credit organization dragged its feet on disclosing exactly what kind of information had been leaked.

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Data-driven Marketing Measurement Modeling 119

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

CIO Business Intelligence

MARCH 14, 2022

IT retention in healthcare has long been full of aches and pains because of the deep skillset required, but David Reis has been lucky. Reis, CIO at the University of Miami Health System and Miller School of Medicine, has been able to grow his head count during both the pandemic and the Great Resignation, a feat he attributes to the fact that people who work in healthcare tend to be mission-driven.

IT 145

IT Measurement Technology Enterprise 145

Dataiku

MARCH 3, 2022

There is a global push for digital transformation and taking an “innovation first” approach, but, up to 80% of these initiatives will fail. Organizations approach data science and analytics platforms with the expectation of large projects that provide large returns on investment. However, the success of small projects can have a much broader impact on company-wide technology adoption.

Technology 111

Technology Digital Transformation Data Science Analytics 111

Analytics Vidhya

MARCH 22, 2022

This article was published as a part of the Data Science Blogathon. Introduction Keyword extraction is commonly used to extract key information from a series of paragraphs or documents. Keyword extraction is an automated method of extracting the most relevant words and phrases from text input. It is a text analysis method that involves automatically extracting […].

Data Science 383

Data Science Publishing Analytics IT 383

Smart Data Collective

MARCH 5, 2022

Are you a data scientist ? You might be missing out on some opportunities to make money from it. Even if you already have a full-time job in data science, you will be able to leverage your expertise as a big data expert to make extra money on the side. If you’re feeling strapped for cash and feel like you can earn more money with your knowledge and skills, then starting a side hustle in 2022 is an excellent idea.

Data mining 135

Data mining Big Data Data-driven Data Science 135

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.

Sales

KDnuggets

MARCH 8, 2022

Also: Calculus: The hidden building block of machine learning; Decision Tree Algorithm, Explained; Telling a Great Data Story: A Visualization Decision Tree; The Complete Collection of Data Science Cheat Sheets – Part 1.

Data Science 156

Data Science Machine Learning Visualization 156

Cloudera

MARCH 10, 2022

As an official sponsor of International Women’s Da y, Cloudera is excited to celebrate Women’s History Month and International Women’s Day, and to take up the mantle of this year’s theme #BreakTheBias. . Even in industries where women are underrepresented, like tech, women have made a lot of progress. Progress over many decades has slowly transformed the workplace into an environment where women’s strengths are recognized and valued.

Big Data 118

Big Data Digital Transformation IT Modeling 118

CIO Business Intelligence

MARCH 15, 2022

IT leaders have a unique vantage point. They are the only business function that sees the entire organization at a process, data, and transaction level. This cross-functional and multi-dimensional view provides IT with the opportunity to identify cross-departmental process and technology synergies, use internal technologies designed for one part of the organization in other areas with similar operational needs, and assess newly released software and hardware products for applicability across th

IT 145

IT Software Machine Learning Technology 145

Juice Analytics

MARCH 4, 2022

March is Women’s History Month and as a company that celebrates women, we wanted to highlight some of the most influential women in the history of data visualization! So let us introduce you to some of these incredible women who have shaped the industry we all love and are committed to pushing forward. Florence Nightingale: Florence Nightingale is considered to be one of the first pioneers of data visualization.

Visualization 110

Visualization Statistics Data-driven Interactive 110

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