Thu.Sep 09, 2021

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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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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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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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Everything you need to know about Hypothesis Testing in Machine Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon What is Hypothesis Testing? Any data science project starts with exploring the data. When we perform an analysis on a sample through exploratory data analysis and inferential statistics we get information about the sample. Now, we want to use this information to predict values […].

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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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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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A Complete guide to Understand Classification in Machine Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Machine learning is connected with the field of education related to algorithms which continuously keeps on learning from various examples and then applying them to real-world problems. Classification is a task of Machine Learning which assigns a label value to a specific class […].

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Simple Image Classification Using FastAI.jl

Analytics Vidhya

This article was published as a part of the Data Science Blogathon The fastai library is now on Julia with similar features available in Python. In this project, we are going to train the Resnet-18 model to classify images from the ImageNet dataset in simple steps. Source: Author Introduction to FastAI.jl The FastAI.jl library is similar […].

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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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Pycaret vs Catboost on Soccer Fever Classification Dataset

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction The main goal of this post is to compare the performance of the Pycaret and Cat boost library by solving a binary classification problem. Soccer, also known as football, is one of the most famous games in the world. If groups of people […]. The post Pycaret vs Catboost on Soccer Fever Classification Dataset 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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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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An Explanatory Guide to BERT Tokenizer

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction In this article, you will learn about the input required for BERT in the classification or the question answering system development. This article will also make your concept very much clear about the Tokenizer library. Before diving directly into BERT let’s discuss the […].

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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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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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The Benefits of Data Governance in Banks and Financial Institutions

Alation

Banks collect and manage a lot of sensitive data. The moment an individual opens an account, you’re asking them for information that needs to be protected, from name and address to social security number. And, the data collection doesn’t stop there — rich insights like transactions and purchasing information help to round out customer profiles.

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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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insightsoftware Appoints Lee An Schommer as Chief Product Officer

Jet Global

Industry veteran with extensive experience in ERP and enterprise software to lead global product strategy and portfolio management for high-growth leader in financial reporting and EPM software. RALEIGH, N.C. – September 8, 2021 – insightsoftware , a global provider of financial reporting and performance management solutions for the Office of the CFO, today announced it has appointed Lee An Schommer as the company’s Chief Product Officer.

Finance 52
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Reflecting on Change.

Teradata

Change is inevitable, but you have to adapt to survive. Take a look back on the last 40 years to see how Teradata has adapted to change.and not only survived, but thrived.

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