Analytics Vidhya
MARCH 8, 2021
ArticleVideo Book This article was published as a part of the Data Science Blogathon. “Understand your customer better, with data !!” Introduction Did you. The post Customer Loyalty Program with Python appeared first on Analytics Vidhya.
Smart Data Collective
MARCH 8, 2021
According to a forecast by IDC and Seagate Technology, the global data sphere will grow more than fivefold in the next seven years. The total amount of new data will increase to 175 zettabytes by 2025 , up from 33 zettabytes in 2018. This ever-growing volume of information has given rise to the concept of big data. And I do not mean large amounts of information per se, but rather data that is processed at high speed and has a strong variability.
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O'Reilly on Data
MARCH 9, 2021
Programs like AlphaZero and GPT-3 are massive accomplishments: they represent years of sustained work solving a difficult problem. But these problems are squarely within the domain of traditional AI. Playing Chess and Go or building ever-better language models have been AI projects for decades. The following projects have a different flavor: In February, PLOS Genetics published an article by researchers who are using GANs (Generative Adversarial Networks) to create artificial human genomes.
Corinium
MARCH 8, 2021
Organizations aiming to become data-driven need to overcome several challenges, like that of dealing with distributed data or hybrid operating environments. They need a modern data architecture that can provision trusted data and bring together data and insights from multiple analytical data stores to make it easy for information consumers to access, consume, use and act on it to drive value.
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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?
Analytics Vidhya
MARCH 12, 2021
ArticleVideo Book Introduction Every Machine Learning enthusiast has a dream of building/working on a cool project, isn’t it? Mere understandings of the theory aren’t. The post Language Detection Using Natural Language Processing appeared first on Analytics Vidhya.
datapine
MARCH 8, 2021
Healthcare is one of the world’s most essential sectors. As a result of increasing demand in certain branches of healthcare, driving down unnecessary expenditure while enhancing overall productivity is vital. Healthcare institutions need to run on maximum efficiency across the board—in some cases, it’s literally a matter of life or death. Despite this ominous message, we are living in the midst of a digital age.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Corinium
MARCH 7, 2021
New customer expectations, spiking support requests, and working apart—yep, that was 2020. We’ve gathered data from 90,000 companies and fused it with findings from global surveys of customers, agents, and business leaders alike to create this year's Zendesk Customer Experience Trends report. In this interactive report, we look at the top trends in customer engagement and identify the actionable best practices for any company - including yours.
Analytics Vidhya
MARCH 9, 2021
ArticleVideo Book Objective Learn how to improve the neural network with the process of Batch Normalization. Understand the advantages batch normalization offers. Introduction. The post Introduction to Batch Normalization appeared first on Analytics Vidhya.
DataRobot
MARCH 10, 2021
Beware the hype about AI systems. Although AI is powerful and generates trillions of dollars of economic value across the world, what you see in science fiction movies remains pure fiction. In this blog post, I will focus on the use of the word autonomous , the dangers of using it with stakeholders, and, in the context of customer experience, the inaccurate perception that all things can be automated, eliminating the need for interactions between employees and customers.
Domino Data Lab
MARCH 11, 2021
Machine learning (ML) frameworks are interfaces that allow data scientists and developers to build and deploy machine learning models faster and easier. Machine learning is used in almost every industry, notably finance , insurance , healthcare , and marketing. Using these tools, businesses can scale their machine learning efforts while maintaining an efficient ML lifecycle.
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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.
Business Over Broadway
MARCH 8, 2021
Results of a survey of data professionals show that about 1 out of 5 are women. Women are paid less than their male counterparts yet both women and men have similar levels of education. Ways of improving gender diversity in the field of data science are offered. Figure 1. US Labor Force Statistics for Selected Occupations. Even though women make up about half of the total workforce in the US, those numbers hide the disparities in some occupational domains.
Analytics Vidhya
MARCH 8, 2021
ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction You think data science is just a buzz word. The post Understanding Data Science from a Beginner’s Lens appeared first on Analytics Vidhya.
Boris Evelson
MARCH 8, 2021
Software-as-a-service (SaaS) offers many benefits, including but not limited to elasticity: the ability to shrink and grow storage and compute resources on demand. Clients of most leading enterprise business intelligence (BI) platforms enjoy this cloud elasticity benefit but at a cost. Ultimately, elasticity requires both application and data components (compute and store) to be elastic, […].
Smart Data Collective
MARCH 9, 2021
The mitochondria is the powerhouse of the cell. It’s responsible for creating the energy your cells power your body with. Or something. Biology was a long time ago. Mito is the powerhouse of your data analytics workflow. We built Mito to be the first analytics tool that’s easy to use, super powerful, and designed to keep your workflow yours forever.
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.
DataKitchen
MARCH 8, 2021
The post 6 security risks in software development and how to address them first appeared on DataKitchen.
Analytics Vidhya
MARCH 11, 2021
ArticleVideo Book Introduction Data Science is not a field where theoretical understanding helps you to start a carrier. It totally depends on the projects. The post Step by Step process of Feature Engineering for Machine Learning Algorithms in Data Science appeared first on Analytics Vidhya.
Juice Analytics
MARCH 11, 2021
At Juice, we’ve helped our clients launch dozens of data products that generate new revenue streams, differentiate their solutions in the market and build stronger customer relationships. Along the way, we’ve learned a lot about what works and doesn’t. In this series I’ll take you through what you need to know to design, build, launch, sell and support a data product.
Smart Data Collective
MARCH 7, 2021
Artificial intelligence is a form of technology that is drastically changing our lives. We have talked extensively about the benefits of using AI for marketing, gaming, financial analysis and many other applications. One of the most impactful ways that AI impacts our lives is by improving our cybersecurity technology. Sridhar Muppidi, CTO of IBM Security, created a very insightful video about the benefits of AI in the field of cybersecurity.
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.
Cloudera
MARCH 11, 2021
Data flows are an integral part of every modern enterprise. No matter whether they move data from one operational system to another to power a business process or fuel central data warehouses with the latest data for near-real-time reporting, life without them would be full of manual, tedious and error-prone data modification and copying tasks. At Cloudera, we’re helping our customers implement data flows on-premises and in the public cloud using Apache NiFi , a core component of Cloudera DataFl
Analytics Vidhya
MARCH 11, 2021
ArticleVideo Book Hugging Face, founded in 2016, has revolutionized the way people approach Natural Language Processing in this day and age. Based in New. The post A Hands-On Introduction to Hugging Face’s AutoNLP 101 appeared first on Analytics Vidhya.
Juice Analytics
MARCH 9, 2021
We created Juicebox to serve the citizen data analyst. We empathize with the every-person who is deep in Excel spreadsheets and presentations; data is part of their job--but not the only part. We want to give these people the chance to create beautiful data visualizations, presented alongside their messages and insights. These information workers shouldn't have to be trained on a complex analytics tool or require the skill set of a data scientist, designer, or developer.
Smart Data Collective
MARCH 7, 2021
Cybersecurity has become a pressing concern for modern tech companies. These attacks aim at companies indiscriminately, no matter what the size is. The smaller ones are more susceptible to these kinds of threats. The good news is that big data has become a very effective technology to help bolster cybersecurity. There are a lot of ways companies are using new advances in machine learning and other data technologies to mitigate the risks of cyberattacks.
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.
DataKitchen
MARCH 9, 2021
The post Should You Build or Buy a DataOps Solution? first appeared on DataKitchen.
Analytics Vidhya
MARCH 9, 2021
ArticleVideo Book Introduction. As we enter future times, man is trying his best to uncover all the secrets of technology. Looking back at a. The post A Super Quick Introduction to Machine Learning appeared first on Analytics Vidhya.
Teradata
MARCH 11, 2021
Getting your Cloud data architecture right starts with understanding which data products you need, the roles they perform, & the functional & non-functional characteristics that those roles demand.
Smart Data Collective
MARCH 10, 2021
The term “artificial intelligence” has certainly become a buzzword that’s thrown around a lot. But behind all of the hype and pop culture references is a technological marvel with some extremely powerful capabilities, especially for B2C businesses. In essence, artificial intelligence is a field of computer science that teaches computers how to interpret data and derive answers from it.
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.
Dataiku
MARCH 12, 2021
The retail industry navigated more than just turbulence in 2020 — some organizations faced drastic governmental restrictions on store openings, while others suffered from consumer absence due to fear of contagion. Recovery could be on the horizon for most retailers, but patience will be required until the health crisis is behind us.
Analytics Vidhya
MARCH 9, 2021
ArticleVideo Book This article was published as a part of the Data Science Blogathon. Before we get started the discussion on Outliers, we should. The post Zooming Out – A Look at Outlier and How to Deal with them in Data Science appeared first on Analytics Vidhya.
Jet Global
MARCH 10, 2021
Traditionally, business planning happens on a fairly predictable cadence. The annual budgeting process tends to be a fairly intensive undertaking. Sales forecasts lay out expected revenue, department heads pull together their wish lists for the coming year, and finance brings it all together into a cohesive structure, after which the negotiation process can begin.
Smart Data Collective
MARCH 7, 2021
Analytics is playing an increasingly important role in the future of the music industry. A growing number of music companies are discovering new applications for analytics tools, which can streamline many important aspects of their industry. However, it is still a little unpredictable exactly what changes analytics will bring to the music industry. Companies are going to have to brainstorm new opportunities and solutions in the coming months.
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.
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