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 122
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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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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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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 184
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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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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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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 121
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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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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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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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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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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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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

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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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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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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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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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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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Some Amazing Applications of OpenCV Library

Analytics Vidhya

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++. […].

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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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#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.” .

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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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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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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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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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Cloudera and NVIDIA Help IRS Fight Fraud, Safeguard Taxpayers

Cloudera

Across the federal government, agencies are struggling to identify, organize, analyze, and act on troves of data. It’s a problem that leaders are working actively to tackle, but they’re in a race against immeasurable volumes of data that is continuously being generated in perpetuity in stores known and unknown. At the Internal Revenue Service, decades’ worth of data exceeds even the most cutting-edge processing capabilities.

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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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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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Predicting Stock Prices with TensorFlow

Analytics Vidhya

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.

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BusinessObjects in the Cloud – No Big Rush and No Big Deal

Paul Blogs on BI

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

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Top 10 Reasons for Alation with Snowflake: Reduce Risk with Active Data Governance

Alation

This is the last of the 4-part blog series. In the previous blog , we discussed how Alation provides a platform for data scientists and analysts to complete projects and analysis at speed. In this blog we will discuss how Alation helps minimize risk with active data governance. Now that you have empowered data scientists and analysts to access the Snowflake Data Cloud and speed their modeling and analysis, you need to bolster the effectiveness of your governance models.

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Operational Dashboard: Command Operations of Your Business

FineReport

Is there no way to grasp data in normal work and life? Are you caught off guard when violations or high-risk operations occur? At this time, you can turn to operational dashboards. What is an operational dashboard? Dashboard can be classified according to usage scenarios, data types, and usage fields. The most common classification is based on specific usage scenarios into strategy dashboard, analytical dashboard, and operational dashboard.

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Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity

Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO

The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.