May, 2021

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Artificial Intelligence Vs Machine Learning Vs Deep Learning: What exactly is the difference ?

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Artificial Intelligence, Machine Learning and, Deep Learning are the buzzwords of. The post Artificial Intelligence Vs Machine Learning Vs Deep Learning: What exactly is the difference ? appeared first on Analytics Vidhya.

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Why Your Data Lake Needs Bad Data

David Menninger's Analyst Perspectives

Everyone talks about data quality, as they should. Our research shows that improving the quality of information is the top benefit of data preparation activities. Data quality efforts are focused on clean data. Yes, clean data is important. but so is bad data. To be more accurate, the original data as recorded by an organization’s various devices and systems is important.

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AI Powered Misinformation and Manipulation at Scale #GPT-3

O'Reilly on Data

OpenAI’s text generating system GPT-3 has captured mainstream attention. GPT-3 is essentially an auto-complete bot whose underlying Machine Learning (ML) model has been trained on vast quantities of text available on the Internet. The output produced from this autocomplete bot can be used to manipulate people on social media and spew political propaganda, argue about the meaning of life (or lack thereof) , disagree with the notion of what differentiates a hot-dog from a sandwich , take upon the

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What’s the Secret Recipe for DataOps?

DataKitchen

Catalog & Cocktails podcast hosts Tim Gasper & Juan Sequeda of data.world interview DataKitchen CEO Chris Bergh on how to create the right DataOps culture & measuring the value of your DataOps strategy. The post What’s the Secret Recipe for DataOps? first appeared on DataKitchen.

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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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Humans and AI: Organizational Change

DataRobot

According to McKinsey, “Research shows that 70 percent of complex, large-scale change programs don’t reach their stated goals. Common pitfalls include a lack of employee engagement, inadequate management support, poor or nonexistent cross-functional collaboration, and a lack of accountability.”. Last year I was doing some spring cleaning and looking for space in my home office for a digital piano.

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The Changing Database Landscape

TDAN

When you’ve been involved in data management for as long as I have, things are definitely bound to change. And things have changed, quite a lot, in fact. Back when I started in IT, IMS was the primary database system used at most big enterprises and most of the computing was done on mainframe systems. […].

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Alation Helps Organizations Get More Value From Data

David Menninger's Analyst Perspectives

Alation recently announced the release of its 2021.1 version, introducing new data governance capabilities, enhancements in search and discovery through data domains, and extended connector and query coverage for data sources. Alation’s new federated authentication enables users to query cloud services such as Amazon Web Services, Snowflake, Tableau and more, using a single sign-on.

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NVIDIA RAPIDS in Cloudera Machine Learning

Cloudera

Introduction. In the previous blog post in this series, we walked through the steps for leveraging Deep Learning in your Cloudera Machine Learning (CML) projects. This year, we expanded our partnership with NVIDIA , enabling your data teams to dramatically speed up compute processes for data engineering and data science workloads with no code changes using RAPIDS AI.

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Data Observability and Monitoring with DataOps

DataKitchen

Data errors impact decision-making. When analytics and dashboards are inaccurate, business leaders may not be able to solve problems and pursue opportunities. Data errors infringe on work-life balance. They cause people to work long hours at the expense of personal and family time. Data errors also affect careers. If you have been in the data profession for any length of time, you probably know what it means to face a mob of stakeholders who are angry about inaccurate or late analytics.

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Using Data Analytics to Map eCommerce Customer Journeys

Smart Data Collective

Big data technology is increasingly being used in e-commerce. Analysts predict that global e-commerce companies will spend $6.2 billion on big data by 2025. There are a number of benefits of using big data in e-commerce. One of the most important benefits lies in understanding the customer journey and optimizing their experience to maximize conversions.

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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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ML internals: Synthetic Minority Oversampling (SMOTE) Technique

Domino Data Lab

In this article we discuss why fitting models on imbalanced datasets is problematic, and how class imbalance is typically addressed. We present the inner workings of the SMOTE algorithm and show a simple “from scratch” implementation of SMOTE. We use an artificially constructed imbalance dataset (based on Iris) to generate synthetic observations via our SMOTE implementation, and discuss modifications that help SMOTE handle categorical attributes.

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How to Fetch Data using API and SQL databases!

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Getting complete and high-performance data is not always the case. The post How to Fetch Data using API and SQL databases! appeared first on Analytics Vidhya.

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DataRobot Automates and Simplifies AI/ML

David Menninger's Analyst Perspectives

Machine learning is valuable for organizations, but it can be hard to deploy. Our Machine Learning Dynamic Insights research identifies that not having enough skilled resources and difficulty building and maintaining ML systems are pressing challenges organizations face in applying ML. Traditional ML model development is resource-intensive, requiring significant domain knowledge and time to produce and compare dozens of models.

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Spark on Kubernetes – Gang Scheduling with YuniKorn

Cloudera

Apache YuniKorn (Incubating) has just released 0.10.0 ( release announcement ). As part of this release, a new feature called Gang Scheduling has become available. By leveraging the Gang Scheduling feature, Spark jobs scheduling on Kubernetes becomes more efficient. What is Apache YuniKorn (Incubating)? Apache YuniKorn (Incubating) is a new Apache incubator project that offers rich scheduling capabilities on Kubernetes.

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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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The Art of Data Storytelling

Juice Analytics

Data Storytelling is a powerful way to present data in ways that influence your audience. It is a skill that combines elements of artistic expression and structured methods. In this article, we will start by learning from the mindset of a leading storytelling organization, Pixar. Then we will discuss how to structure data stories to guide your audience through data.

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Crucial Benefits of Collecting and Analyzing Data for Modern Businesses

Smart Data Collective

The market for big data is expected to be worth $274 billion by next year. This is hardly surprising, since so many businesses depend on data analytics to draw useful insights on every aspect of their business model. Analytics is one of the most powerful tools that modern businesses possess. Any business that is ready to embrace data analytics will have access to a wealth of information on their industry, customer base, competitors and more.

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Data Minimization as Design Guideline for New Data Architectures

Data Virtualization

IT excels in copying data. It is well known organizations are storing data in volumes that continue to grow. However, most of this data is not new or original, much of it is copied data. For example, data about a. The post Data Minimization as Design Guideline for New Data Architectures appeared first on Data Virtualization blog.

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SMS Spam Detection Using LSTM – A Hands On Guide!

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In today’s world, almost everyone is using a mobile. The post SMS Spam Detection Using LSTM – A Hands On Guide! appeared first on Analytics Vidhya.

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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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Data Professionals Prefer A Hybrid Approach to Tools and Technologies

Business Over Broadway

I recently reached out to data professionals on LinkedIn to ask a series of questions about their work. Results from one of those polls revealed that 58% of data pros reported that they prefer a hybrid approach (on premises and cloud) for their tools and technologies. About a third of respondents preferred the cloud. Only 6% of respondents preferred on premises.

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The Ethics of AI Comes Down to Conscious Decisions

Cloudera

This blog post was written by Pedro Pereira as a guest author for Cloudera. . Right now, someone somewhere is writing the next fake news story or editing a deepfake video. An authoritarian regime is manipulating an artificial intelligence (AI) system to spy on technology users. No matter how good the intentions behind the development of a technology, someone is bound to corrupt and manipulate it.

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Data Storytelling Is a Sandwich

Juice Analytics

What is made out of layers and becomes more delicious when you put them together? Why…a data story, of course! And a sandwich. (This is what happens when you write a blog post after learning your favorite sandwich shop is closing down…we’ll miss you Clawson’s ?? ). Sara Cervera via Unsplash. What are those layers? An effective data story should have four distinct parts, not unlike the layers of a sandwich: The filling : Whether deli meat or peanut butter & jelly, the filling is the heart of

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Advantages of Using Microsoft Azure for Data Preservation and Security

Smart Data Collective

Data security and data collection are both much more important than ever. Every organization needs to invest in the right big data tools to make sure that they collect the right data and protect it from cybercriminals. One tool that many data-driven organizations have started using is Microsoft Azure. It has not gained as much acceptance yet as it likely will in the near future, despite its benefits.

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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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Embedded Analytics: The Build vs Buy Debate is Pointless

Sisense

Blog. You’ve decided you want to put data and analytics into your product, service, or experience. Good decision! This kind of functionality isn’t just a “nice to have” anymore; users of all kinds demand it, and customer-facing analytics are revolutionizing businesses in every industry. In a 2020 survey by the IDC (commissioned by Sisense), 40% of respondents said their product team was planning to use analytics in 2021 — up from 27% in 2020.

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Machine Learning Automation using EvalML Library

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Machine Learning is one of the fastest-growing technology in the. The post Machine Learning Automation using EvalML Library appeared first on Analytics Vidhya.

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Data Governance is a Crucial Part of Your Business Strategy

TDAN

Since July 2018, over €274M in fines have been enforced by the EU General Data Protection Regulation. The lion’s share of these (more than €228M) are for “insufficient legal basis for data processing” and “insufficient technical and organizational measures to ensure information security,” which implies that the majority of offending organizations lack critical policy and infrastructure components to make […].

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Automating CDP Private Cloud Installations with Ansible

Cloudera

The introduction of CDP Public Cloud has dramatically reduced the time in which you can be up and running with Cloudera’s latest technologies, be it with containerised Data Warehouse , Machine Learning , Operational Database or Data Engineering experiences or the multi-purpose VM-based Data Hub style of deployment. In CDP Private Cloud, the introduction of Cloudera Data Warehouse and Cloudera Machine Learning Experiences on RedHat OpenShift Kubernetes clusters means that we can deploy new

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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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PODCAST: Exploring Data, Digital and Artificial Intelligence through a Holistic Lens

bridgei2i

PODCAST: Exploring Data, Digital and Artificial Intelligence through a Holistic Lens. Listening time: 45 minutes. Exploring Data, Digital and Artificial Intelligence through a Holistic Lens. In the latest episode of ‘The Data Strategy Show’, host Samir Sharma engages Prithvijit(Jit) Roy and Pritam K Paul, Co-Founders of BRIDGEi2i, in a riveting discussion.

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Photography Trends Utilizing Data To Keep Your Social Content Fresh

Smart Data Collective

Big data and artificial intelligence have become incredibly useful in the field of photography. Photographers need to know how to leverage big data effectively. A number of new trends have emerged that involve the use of data. They can be useful for social media marketers that need fresh visual content. Big Data Becomes Integral for Social Media Marketers Relying on Photography.

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Epidemiologist Michal Mina Says Lack of Cheap, At-Home Testing Is Making COVID-19 Worse

DataRobot

For more than a year, the world has been grappling with the COVID-19 pandemic—easily the worst public-health crisis since the 1918 flu pandemic. More than half a million Americans have died from the novel coronavirus, and as of this writing India is seeing more than 300,000 new cases each day. With that alarming background, this seemed like an extremely appropriate time to talk with Michael Mina, an Assistant Professor of Epidemiology at Harvard T.

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Machine Learning with Python: Logistic Regression

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. What Is Logistic Regression? This article assumes that you possess. The post Machine Learning with Python: Logistic Regression appeared first on Analytics Vidhya.

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Enhance Customer Value: Unleash Your Data’s Potential

The complexity of financial data, the need for real-time insight, and the demand for user-friendly visualizations can seem daunting when it comes to analytics - but there is an easier way. With Logi Symphony, we aim to turn these challenges into opportunities. Our platform empowers you to seamlessly integrate advanced data analytics, generative AI, data visualization, and pixel-perfect reporting into your applications, transforming raw data into actionable insights.