Sat.Sep 04, 2021 - Fri.Sep 10, 2021

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Big Data: The Technology Behind Retailers Success

Smart Data Collective

During the beginning of the pandemic, many businesses went digital, and the retail industry is no exception. Technologies became a crucial part of achieving success in the increasingly competitive market, including big data and analytics. Big data in retail help companies understand their customers better and provide them with more personalized offers.

Big Data 130
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So You've Built a Fair Model, Now What?

Dataiku

As practitioners of data science, we look at the inputs and outputs of an AI system regularly in order to understand how and why a given decision is made. However, for the majority of people who do not work with AI, the concepts of machine learning (ML), algorithms, and data processing is a very opaque box. When these non-transparent systems are deployed in the real world, they are confusing for users of AI to make sense of a prediction or model outcome and often difficult to challenge or respon

Modeling 114
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Corinium acquires RE•WORK

Corinium

MONDAY, 6 SEPTEMBER 2021 – Corinium Global Intelligence (“Corinium” or “the Group”), the global B2B information service provider of events and market intelligence company, has announced its acquisition of RE•WORK today. RE•WORK is the leading events provider for deep learning as well as applied AI. Its events have been bringing together the latest technological advancements as well as practical examples to apply AI to solve challenges in business and society since 2013.

B2B 435
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How to Create Stunning and Interactive Dashboards in Excel?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction I have been using Pandas with Python and Plotly to create some of the most stunning dashboards for my projects. In recent times, I have switched to learning Excel as it was a prerequisite in every company I had to apply to. I […]. The post How to Create Stunning and Interactive Dashboards in Excel?

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Optimizing The Modern Developer Experience with Coder

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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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.

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Confluent Helps Organizations Tackle Streaming Data

David Menninger's Analyst Perspectives

Confluent Platform is a streaming platform built by the original creators of Apache Kafka. It enables organizations to organize and manage streaming data from various sources. Confluent launched its IPO in June this year and raised $828 million to further expand its business. Confluent Platform was brought to several public cloud vendor marketplaces last year as Confluent Cloud.

Modeling 240
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Big Data 50: Companies Driving Innovation

DataKitchen

The post Big Data 50: Companies Driving Innovation first appeared on DataKitchen.

Big Data 223

More Trending

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A Beginner’s Guide to Image Processing With OpenCV and Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction We all know the phrase: “Every picture can tell us a story” There could be a lot of information hidden inside an image and we could interpret it in different ways and perspectives. So, what is an image, and how to deal with […]. The post A Beginner’s Guide to Image Processing With OpenCV and Python appeared first on Analytics Vidhya.

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Diving Into Digital Transformation With Deloitte Consulting’s Managing Director of Applied AI

Dataiku

As the competitor and consumer spaces shift to adapt to emerging innovations, companies have developed a thirst for machine learning (ML) investment, hoping to apply ML as a prime AI enabler. Organizations are jumping to fill their digital canvases, but many are struggling to define exactly what that looks like and approach the journey with clarity.

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Jumpstart Your DataOps Program with DataKitchen’s Lean DataOps

DataKitchen

Adopting DataOps can be easy; by following DataKitchen's 'Lean DataOps' four-phase program, you can roll out DataOps in smaller, easy-to-manage increments. The post Jumpstart Your DataOps Program with DataKitchen’s Lean DataOps first appeared on DataKitchen.

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5 Strategies For Keeping Your Company’s Sensitive Data Secure

Smart Data Collective

You’ve worked hard building your business from the ground up, which is why it’s stressful to know that hackers and other cyber threats lurk on every corner. Data breaches are incredibly costly for companies to deal with, so you want to invest time in ensuring that you’re protecting business and consumer data. It’s vital that you arm yourself with the right tools to avoid hacking, theft, or data loss.

Strategy 129
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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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“Ok, Google!”— Speech to Text in Python with Deep Learning in 2 minutes

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction You may be frequently using Google Assistant or Apple’s Siri or even Amazon Alexa to find out quick answers on the web or to simply command something. These AI assistants are well known for understanding our speech commands and performing the desired tasks. They quickly respond to […].

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Moving From Spreadsheets to Dataiku for Financial Modeling

Dataiku

This article presents how financial modeling can be done inside Dataiku. Let’s begin with the context: spreadsheet-based tools like Microsoft Excel are some of the most popular tools for financial modeling and are used for all kinds of tasks including investment analysis, P&L modeling, and risk management. Why is that the case? Spreadsheets have convenience benefits, they have been around for a long time, and they will continue to be around for the foreseeable future.

Modeling 105
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Value Proposition of the Cloudera Operational Database over Legacy Apache HBase Deployments

Cloudera

The CDP Operational Database ( COD ) builds on the foundation of existing operational database capabilities that were available with Apache HBase and/or Apache Phoenix in legacy CDH and HDP deployments. Within the context of a broader data and analytics platform implemented in the Cloudera Data Platform ( CDP ), COD will function as highly scalable relational and non-relational transactional database allowing users to leverage big data in operational applications as well as the backbone of the a

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Machine Learning Is A Critical Element of Modern SMS Marketing

Smart Data Collective

SMS marketing is one of the most widely used forms of marketing. It’s the process of sending customized messages to consumers to communicate updates, offers, and reminders using automated platforms. SMS marketing is also one of the cheapest marketing techniques, but one with high effectiveness, boasting an open rate of 98%. The unparalleled reach that it provides is due to the vast number of mobile users, which is expected to double—if not triple—in the coming years. (1).

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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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Posture Detection using PoseNet with Real-time Deep Learning project

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Deep learning is a subset of Machine Learning and Artificial Intelligence that imitates the way humans gain certain types of knowledge. It is essentially a neural network with three or more layers. deep-learning helps to solve many artificial intelligence applications that help improving […].

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Using AI to Further Accelerate Denodo Platform Performance

Data Virtualization

Data virtualization has a privileged position in modern architectures for data discovery and use cases such as data fabric and logical data warehousing. Data virtualization provides unified data access, data integration, and a delivery layer, bridging the gap between distributed. The post Using AI to Further Accelerate Denodo Platform Performance appeared first on Data Virtualization blog.

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Marketing Dashboard: Secretes To Adapt To Fast-Changing Market

FineReport

One of the most difficult problems faced by marketers is how to analyze all the information, which comes from customer surveys, from complex computer models, and from various channels. All information gathered can be unbearable. Deciding which information is important and which is trivial can help companies distinguish between effective marketing and waste.

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Fascinating Impact of Machine Learning on Streamlining App Development

Smart Data Collective

Machine learning has made app development much easier than ever, even for people without previous coding experience. Once upon a time, coding and developing seemed like it was something hard and far-fetched for anyone with no previous experience. Only those who studied software building, coding, and development could do this, but this isn’t the case anymore.

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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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Q-Q plot – Ensure Your ML Model is Based on the Right Distribution

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Q-Q plots are also known as Quantile-Quantile plots. As the name suggests, they plot the quantiles of a sample distribution against quantiles of a theoretical distribution. Doing this helps us determine if a dataset follows any particular type of probability distribution like normal, […].

Modeling 388
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Certify Your Skills as a Citizen Data Scientist

DataRobot

Back to school isn’t just for kids—it’s for anyone who wants to stay on top of industry trends and build their skills in this rapidly changing environment. This is especially important for business analysts and data professionals who want to be expert problem solvers in their organizations. You might be one of them. To remain in high demand and competitive, you know the importance of striving to find effective and efficient ways to solve business problems.

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Enabling Multi-User Fine-Grained Access Control for Cloud Storage in CDP

Cloudera

Shared Data Experience ( SDX ) on Cloudera Data Platform ( CDP ) enables centralized data access control and audit for workloads in the Enterprise Data Cloud. The public cloud (CDP-PC) editions default to using cloud storage (S3 for AWS, ADLS-gen2 for Azure). This introduces new challenges around managing data access across teams and individual users.

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Understanding ETL Tools as a Data-Centric Organization

Smart Data Collective

The ETL process is defined as the movement of data from its source to destination storage (typically a Data Warehouse) for future use in reports and analyzes. The data is initially extracted from a vast array of sources before transforming and converting it to a specific format based on business requirements. ETL is one of the most integral processes required by Business Intelligence and Analytics use cases since it relies on the data stored in Data Warehouses to build reports and visualizations

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The Cloud Development Environment Adoption Report

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.

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Web Traffic Forecasting Using Deep Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Hello everyone, in this article we will pick the use case of sequence modelling, which is time series forecasting. Time series is all around us from predicting sales to predicting traffic and more. A simple example of time series is the amount of […]. The post Web Traffic Forecasting Using Deep Learning appeared first on Analytics Vidhya.

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1-Minute Data Storytelling Lessons

Juice Analytics

Is it possible to explore the core concepts of data storytelling over your lunch break? You bet. We have offered our complete collection of data storytelling lessons for free ( available here ). But if you don’t have a few spare hours, you might want to check out our sampling platter of mini-lessons. We’ve transformed many of these lessons into one-minute-ish videos that will let you taste the appetizers before you dig into the main course.

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Supporting Transformation with an Integrated Data Platform. Three Common Questions Answered.

Cloudera

In recent years there has been increased interest in how to safely and efficiently extend enterprise data platforms and workloads into the cloud. CDOs are under increasing pressure to reduce costs by moving data and workloads to the cloud, similar to what has happened with business applications during the last decade. Our upcoming webinar is centered on how an integrated data platform supports the data strategy and goals of becoming a data-driven company.

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Is Dataiku for Data Scientists?

Dataiku

In one word, yes! Since its founding in 2013, Dataiku was built by data scientists and for data scientists. While Dataiku is also a tool for analysts and those that prefer visual interfaces, the platform still offers multiple features and capabilities for data scientists. During the 2021 Product Days, Conor Jensen, Dataiku’s VP of Data Science, Americas, detailed some of these features and how they benefit data scientists.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

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.

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Ordinary Differential Equations Made Easy with Deep Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Everything around us from biology, stocks, physics, or even common life scenarios can be mathematically modelled using Differential equations. It has a remarkable ability to predict everything around us. We can use Differential Equations to maximize our investment returns, can use them in […].

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Integrating Mainframe Data Into an Enterprise SIEM Strategy

CDW Research Hub

A typical enterprise can collect millions of monitoring data points every day. Sifting through all that information and determining what may pose a security threat is where a SIEM (security information and event management) solution comes into play. In the early days SIEM solutions were not equipped to handle mainframe data, but that has changed. With many enterprise clients storing the majority of their business data on the mainframe, it is critical to include this information in a SIEM solutio

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#ClouderaLife Spotlight: Fanly Tanto, Regional Sales Director

Cloudera

Meet Fanly Tanto. Fanly is a Regional Sales Director operating out of Indonesia and the recent recipient of Channel Asia’s Women in ICT “Shining Star” Award – an award recognizing candidates with “a strong record of achievement and a consistent high performer who regularly achieves standout business results and continues to assume increased levels of seniority.” .

Sales 78
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Diving Into Digital Transformation With Deloitte Consulting’s Managing Director of Applied AI

Dataiku

As the competitor and consumer spaces shift to adapt to emerging innovations, companies have developed a thirst for machine learning (ML) investment, hoping to apply ML as a prime AI enabler. Organizations are jumping to fill their digital canvases, but many are struggling to define exactly what that looks like and approach the journey with clarity.

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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.