Analytics Vidhya

MAY 28, 2022

This article was published as a part of the Data Science Blogathon. Introduction to Pandas Pandas is a python library that needs no introduction. Pandas provide an easier way to do preprocessing and analysis on our data. However, if we are working on a larger data, pandas takes too much time for data preprocessing. The […]. The post Modin: Expedite Your Pandas Code with Single Change appeared first on Analytics Vidhya.

Data Science 386

Data Science Publishing Analytics Machine Learning 386

datapine

MAY 11, 2022

“By visualizing information, we turn it into a landscape that you can explore with your eyes. A sort of information map. And when you’re lost in information, an information map is kind of useful.” – David McCandless. Did you know? 90% of the information transmitted to the brain is visual. Concerning professional growth, development, and evolution, using data-driven insights to formulate actionable strategies and implement valuable initiatives is essential.

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Visualization Dashboards Key Performance Indicator Sales 252

KDnuggets

MAY 26, 2022

Read the best books on Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, MLOps, Robotics, IoT, AI Products Management, and Data Science for Executives.

Data Science 160

Data Science Deep Learning IoT Machine Learning 160

CIO Business Intelligence

MAY 26, 2022

When companies first start deploying artificial intelligence and building machine learning projects, the focus tends to be on theory. Is there a model that can provide the necessary results? How can it be built? How can it be trained? But the tools that data scientists use to create these proofs of concept often don’t translate well into production systems.

Machine Learning 145

Machine Learning Modeling Data-driven Dashboards 145

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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

DataKitchen

MAY 2, 2022

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Smart Data Collective

MAY 19, 2022

Big data has become a very important part of modern marketing practices. More companies are using data analytics and AI to optimize their marketing strategies. This is especially true for companies using digital marketing practices, such as social media. LinkedIn is one of the platforms that helps people use big data to facilitate online marketing. You can use their sophisticated analytics dashboard to improve your marketing strategies.

Data Analytics 141

Data Analytics Analytics Big Data Advertising 141

TDAN

MAY 4, 2022

You might think the title of this article is some­what controversial, but you should wait until you’ve read to the end to render judgment. There are several important shifts impacting data management and database administration that cause manual practices and procedures to be ineffective. Let’s examine several of these trends. Data Growth But No DBA […].

Management 137

Management Data Architecture 137

KDnuggets

MAY 30, 2022

Also: Decision Tree Algorithm, Explained; Data Science Projects That Will Land You The Job in 2022; The 6 Python Machine Learning Tools Every Data Scientist Should Know About; Naïve Bayes Algorithm: Everything You Need to Know.

Data Science 160

Data Science Machine Learning 160

CIO Business Intelligence

MAY 28, 2022

Liberty Mutual is one of the most experienced and advanced cloud adopters in the nation. And that is in no small part thanks to the vision of James McGlennon, who in his role as CIO of Liberty Mutual for past 17 years has led the charge to the cloud, analytics, and AI with a budget north of $2 billion. Eight years ago, McGlennon hosted an off-site think tank with his staff and came up with a “technology manifesto document” that defined in those early days the importance of exploiting cloud-based

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Insurance Machine Learning Digital Transformation Cost-Benefit 145

Cloudera

MAY 4, 2022

Artificial intelligence (AI) has been a focus for research for decades, but has only recently become truly viable. The availability and maturity of automated data collection and analysis systems is making it possible for businesses to implement AI across their entire operations to boost efficiency and agility. AI has the potential to transform operations by improving three fundamental business requirements: process automation, decision-making based on data insights, and customer interaction.

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Internet of Things Cost-Benefit Insurance Data-driven 129

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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

Smart Data Collective

MAY 16, 2022

Data-savvy companies are constantly exploring new ways to utilize big data to solve various challenges they encounter. A growing number of companies are using data analytics technology to improve customer engagement. Werner H Kunz of the University of Massachusetts Boston and some of his colleagues addressed this in their paper Customer Engagement in a Big Data World.

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Data-driven Strategy Big Data ROI 138

Analytics Vidhya

MAY 19, 2022

This article was published as a part of the Data Science Blogathon. Introduction on CNN Architecture Hello, and welcome again to another intriguing subject. As a consequence of the large quantity of data accessible, particularly in the form of photographs and videos, the need for Deep Learning is growing by the day. Many advanced designs […]. The post How to Approach CNN Architecture from Scratch?

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Deep Learning Data Science Publishing Analytics 396

Timo Elliott

MAY 27, 2022

I was at the Gartner Data & Analytics conference in London a couple of weeks ago and I’d like to share some thoughts on what I think was interesting, and what I think I learned…. First, data is by default, and by definition, a liability , because it costs money and has risks associated with it. To turn data into an asset , you actually have to do something with it and drive the business.

Data Analytics 124

Data Analytics Analytics Recreation/Entertainment Data Lake 124

KDnuggets

MAY 27, 2022

Colossal amounts of data need to be dealt with by specialists. It’s no wonder then that the job prospects in this industry are expected to rise much faster than in other occupations.

Data Science 160

Data Science 160

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

CIO Business Intelligence

MAY 20, 2022

Artificial Intelligence (AI) is a fast-growing and evolving field, and data scientists with AI skills are in high demand. The field requires broad training involving principles of computer science, cognitive psychology, and engineering. If you want to grow your data scientist career and capitalize on the demand for the role, you might consider getting a graduate degree in AI.

Machine Learning 145

Machine Learning Statistics Recreation/Entertainment Data Science 145

TDAN

MAY 17, 2022

Our reactions to the data we receive can cause a great deal of suffering. For example, there was a hospital with an outstanding reputation for being trusted at a deep level by many families. They used data to alert people about various medical actions that they recommended. One such alert was that when a person […].

Data Strategy 119

Data Strategy Business Intelligence Big Data Strategy 119

Smart Data Collective

MAY 22, 2022

Human-operated ransomware attacks have threat actors using certain methods to get into your devices. They depend on hands-on-keyboard activities to get into your network. AI can protect you in the event of these and other attacks. Since the decisions are data-driven, you have a lower likelihood of falling victim to attacks. The decisions are based on extensive experimentation and research to improve effectiveness without altering customer experience.

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Data-driven Risk Experimentation IT 137

Analytics Vidhya

MAY 29, 2022

This article was published as a part of the Data Science Blogathon. Introduction on Machine Learning Last month, I participated in a Machine learning approach Hackathon hosted on Analytics Vidhya’s Datahack platform. Over a weekend, more than 600 participants competed to build and improve their solutions and climb the leaderboard. In this article, I will […].

Machine Learning 395

Machine Learning Forecasting Data Processing Data Science 395

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

Cloudera

MAY 9, 2022

Tuning Hive on Tez queries can never be done in a one-size-fits-all approach. The performance on queries depends on the size of the data, file types, query design, and query patterns. During performance testing, evaluate and validate configuration parameters and any SQL modifications. It is advisable to make one change at a time during performance testing of the workload, and would be best to assess the impact of tuning changes in your development and QA environments before using them in product

Optimization 118

Optimization Testing Cost-Benefit Measurement 118

KDnuggets

MAY 19, 2022

Read the best books on Programming, Statistics, Data Engineering, Web Scraping, Data Analytics, Business Intelligence, Data Applications, Data Management, Big Data, and Cloud Architecture.

Data Science 160

Data Science Statistics Business Intelligence Big Data 160

CIO Business Intelligence

MAY 24, 2022

While regulations are created to protect consumers and markets, they’re often complex, making them costly and challenging to adhere to. Highly regulated industries like Financial Services and Life Sciences have to absorb the most significant compliance costs. Deloitte estimates that compliance costs for banks have increased by 60% since the financial crisis of 2008, and the Risk Management Association found that 50% of financial institutions spend 6 to 10% of their revenues on compliance.

Risk 145

Risk Reporting Marketing Risk Management 145

TDAN

MAY 4, 2022

Getting to great data quality need not be a blood sport! But there must be a method to the madness, and you need to be persistent and properly involve relevant stakeholders to achieve long lasting improvements. This article aims to provide some practical insights gained from enterprise master data quality projects undertaken within the past […].

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Data Quality Enterprise Metadata Data Strategy 114

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

Smart Data Collective

MAY 13, 2022

Did you know that global companies are projected to spend nearly $1.6 trillion on AI by 2030 ? The demand for AI services is growing due to the many powerful benefits it offers. Various applications, from web-based smart assistants to self-driving cars and house-cleaning robots, run with the help of artificial intelligence (AI). With the growth of business data, it is no longer surprising that AI has penetrated data analytics and business insight tools.

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Analytics Vidhya

MAY 28, 2022

This article was published as a part of the Data Science Blogathon. Introduction on SQL Server Before going to our main concept, we must first learn about what are functions and then study the details of scalar functions in SQL Server. Function in SQL Server is a set of T-SQL statements that are used to […]. The post Use of Date and Time Functions in SQL Server appeared first on Analytics Vidhya.

Data Science 392

Data Science Publishing Analytics 392

Dataiku

MAY 9, 2022

This blog is a guest post from our friends at Shippeo. They’re a global leader and European specialist in real-time transportation visibility, helping major shippers and logistics service providers leverage transportation to deliver exceptional customer service and achieve operational excellence.

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KDnuggets

MAY 16, 2022

This guide will help aspiring data scientists and machine learning engineers gain better knowledge and experience. I will list different types of machine learning algorithms, which can be used with both Python and R.

Machine Learning 160

Machine Learning 160

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

CIO Business Intelligence

MAY 17, 2022

Depending on which Terminator movies you watch, the evil artificial intelligence Skynet has either already taken over humanity or is about to do so. But it’s not just science fiction writers who are worried about the dangers of uncontrolled AI. In a 2019 survey by Emerj , an AI research and advisory company, 14% of AI researchers said that AI was an “existential threat” to humanity.

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Risk Data Science Consulting Machine Learning 145

DataRobot Blog

MAY 3, 2022

If you’ve ever driven through Texas or Florida during a rare Southern snowstorm, a few things quickly become cartoonishly obvious—your tyres matter, your driving matters, and your ability to navigate changing weather conditions really matters. As the Formula 1 Miami Grand Prix culminates on May 8, 2022, it’s not likely to be snowing. The forecast calls for sunny skies and temperatures between 68?

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Forecasting Strategy Data-driven Machine Learning 105

Smart Data Collective

MAY 31, 2022

Big data technology is having a huge impact on the state of modern business. The technology surrounding big data has evolved significantly in recent years, which means that smart businesses will have to take steps to keep up with it. One of the biggest breakthroughs for data-driven businesses has been the development of data activation. What is Data Activation?

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Data Warehouse Big Data Data-driven Technology 135

Analytics Vidhya

MAY 11, 2022

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will be working to develop an application from computer vision techniques that will reverse the video, and also, we will be able to save that reversed video in our local system. In this application, we will also have […]. The post Reversing the Video Using Computer Vision appeared first on Analytics Vidhya.

Data Science 387

Data Science Publishing Analytics 387

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