Smart Data Collective

SEPTEMBER 7, 2021

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 145

Big Data Technology Predictive Analytics Cost-Benefit 145

Dataiku

SEPTEMBER 9, 2021

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

Modeling Machine Learning Data Science Data Processing 114

Corinium

SEPTEMBER 6, 2021

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

B2B Deep Learning Digital Transformation Data Processing 435

Analytics Vidhya

SEPTEMBER 10, 2021

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?

Interactive 400

Interactive Dashboards Data Science Publishing 400

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Sales

David Menninger's Analyst Perspectives

SEPTEMBER 9, 2021

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

Modeling Management IT Machine Learning 240

DataKitchen

SEPTEMBER 8, 2021

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

Big Data 223

Big Data 223

Analytics Vidhya

SEPTEMBER 8, 2021

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.

Data Science 400

Data Science Publishing Analytics IT 400

Dataiku

SEPTEMBER 6, 2021

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.

Digital Transformation 105

Digital Transformation Management Machine Learning 105

DataKitchen

SEPTEMBER 9, 2021

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.

Management 130

Management 130

Smart Data Collective

SEPTEMBER 7, 2021

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 140

Strategy Risk Measurement IT 140

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

Testing

Analytics Vidhya

SEPTEMBER 10, 2021

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 […].

Deep Learning 399

Deep Learning Data Science Publishing Analytics 399

Dataiku

SEPTEMBER 8, 2021

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

Modeling Risk Management Risk Management 105

Data Virtualization

SEPTEMBER 9, 2021

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.

Data Integration 98

Data Integration Technology 98

Smart Data Collective

SEPTEMBER 5, 2021

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).

Machine Learning 140

Machine Learning Marketing Advertising Statistics 140

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Strategy

Analytics Vidhya

SEPTEMBER 5, 2021

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 […].

Deep Learning 394

Deep Learning Machine Learning Data Science Publishing 394

FineReport

SEPTEMBER 7, 2021

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.

Dashboards 98

Dashboards Marketing Measurement KPI 98

Cloudera

SEPTEMBER 9, 2021

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

Cost-Benefit 95

Cost-Benefit Optimization Risk Management 95

Smart Data Collective

SEPTEMBER 8, 2021

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.

Machine Learning 130

Machine Learning Software Testing IT 130

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Testing

Analytics Vidhya

SEPTEMBER 6, 2021

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

Modeling Data Science Publishing Analytics 388

DataRobot

SEPTEMBER 7, 2021

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.

Machine Learning 95

Machine Learning Data Science IT 95

Juice Analytics

SEPTEMBER 7, 2021

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.

Visualization 87

Visualization IT 87

Smart Data Collective

SEPTEMBER 8, 2021

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

Data Warehouse 126

Data Warehouse Data Integration Marketing Software 126

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Reporting

Analytics Vidhya

SEPTEMBER 9, 2021

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.

Deep Learning 382

Deep Learning Forecasting Sales Data Science 382

Cloudera

SEPTEMBER 10, 2021

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.

Cost-Benefit 83

Cost-Benefit Data Lake Data Warehouse Management 83

Dataiku

SEPTEMBER 10, 2021

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.

Visualization 69

Visualization Data Science IT 69

CDW Research Hub

SEPTEMBER 9, 2021

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

Strategy 59

Strategy Enterprise Dashboards Software 59

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Optimization

Analytics Vidhya

SEPTEMBER 10, 2021

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 […].

Deep Learning 378

Deep Learning Data Science Publishing Modeling 378

Cloudera

SEPTEMBER 8, 2021

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.

Data Lake 79

Data Lake Enterprise Data-driven Data Strategy 79

Dataiku

SEPTEMBER 6, 2021

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.

Digital Transformation 69

Digital Transformation Management Machine Learning 69

Paul Blogs on BI

SEPTEMBER 8, 2021

While we have definitely seen an acceleration in organizations using or moving operational applications to the cloud, Business Intelligence has lagged behind. Today, the majority of BusinessObjects customers use the product on premise and that will not change for a while. Why? Well firstly, if the main data warehouses, repositories, or application databases that BusinessObjects accesses are on premise, it makes no sense to move BusinessObjects to the cloud until you move its data sources to the

Data Warehouse 59

Data Warehouse Data Processing Data Lake Testing 59

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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