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.
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
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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.
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?
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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?
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.
DataKitchen
SEPTEMBER 8, 2021
The post Big Data 50: Companies Driving Innovation first appeared on DataKitchen.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
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 […].
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.
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.
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.
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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.
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.
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.
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).
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.
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 […].
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.
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
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.
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.
Analytics Vidhya
SEPTEMBER 4, 2021
This article was published as a part of the Data Science Blogathon Introduction OpenCV is a great tool for image processing and performing computer vision tasks. It is an open-source library that can be used to perform tasks like face detection, objection tracking, landmark detection, and much more. It supports multiple languages including python, java C++. […].
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.
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.
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
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.
Analytics Vidhya
SEPTEMBER 4, 2021
This article was published as a part of the Data Science Blogathon This is a tutorial on how to create a deep learning model for predicting stock prices using the TensorFlow framework. This is an advanced project of Tensorflow which means you should be very clear with the basics of Stock Prices. You can also check […]. The post Predicting Stock Prices with TensorFlow appeared first on Analytics Vidhya.
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.
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.
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
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.
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.
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.
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.
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
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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