Sat.Jun 26, 2021 - Fri.Jul 02, 2021

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DevOps Is Not DataOps

DataKitchen

Arvind Murali, Intelligent Data podcast host, interviews DataKitchen CEO Chris Bergh about how DataOps helps improve the speed of data & analytics deployment. The post DevOps Is Not DataOps first appeared on DataKitchen.

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Pros and Cons of Buying Cryptocurrency with Blockchain ATMs

Smart Data Collective

Blockchain has played a very important role in the inception of bitcoin and other cryptocurrencies. Blockchain even transformed the traditional financial industry, as around 15% of banks started using it in 2017. Blockchain has also created an unexpected bridge between the cryptocurrency market and traditional financial providers. It has made it possible to start accessing bitcoins the same way people would access regular fiat currencies.

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Plotting Visualizations Out of Pandas DataFrames

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Plotting is essentially one of the most important steps in. The post Plotting Visualizations Out of Pandas DataFrames appeared first on Analytics Vidhya.

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Salesforce Tableau has Assurance in 2021 Value Index on Analytics

David Menninger's Analyst Perspectives

We are happy to share some insights about Tableau drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.

Analytics 153
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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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Operationalizing Machine Learning at Scale with MLOps

DataKitchen

MLOps.community leader Demetrios Brinkmann chats with DataKitchen CEO Chris Bergh about the benefits of Data Science teams doing MLOps to pull the pain forward. The post Operationalizing Machine Learning at Scale with MLOps first appeared on DataKitchen.

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How Insurers Evaluate Data and Incorporate it Into their Business Model

Smart Data Collective

Many companies have been heavily impacted by big data. One of the industries most affected by data technology has been the insurance sector. In order to appreciate the role of big data in insurance, it is necessary to look at its historical context. The insurance industry is one of the oldest in the world , and is credited for having been the catalyst for the financial system as we know it.

Insurance 128

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SAS Rated with Assurance in Analytics and Data Value Index

David Menninger's Analyst Perspectives

We are happy to share some insights about SAS drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.

Analytics 145
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DataOps with Chris Bergh

DataKitchen

Joe Reis, host of the Data Nerd Herd podcast & Ternary Data CEO & Co-Founder, interviews DataKitchen CEO Chris Bergh about what DataOps is & why it matters. The post DataOps with Chris Bergh first appeared on DataKitchen.

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Building a Named Entity Recognition model using a BiLSTM-CRF network

Domino Data Lab

In this blog post we present the Named Entity Recognition problem and show how a BiLSTM-CRF model can be fitted using a freely available annotated corpus and Keras. The model achieves relatively high accuracy and all data and code is freely available in the article. What is Named Entity Recognition? Named Entity Recognition (NER) is an NLP problem, which involves locating and classifying named entities (people, places, organizations etc.) mentioned in unstructured text.

Modeling 111
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Build a simple Chatbot using NLTK Library in Python

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon How amazing it is to talk to someone by asking and. The post Build a simple Chatbot using NLTK Library in Python appeared first on Analytics Vidhya.

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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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Business Intelligence Technologies: Definitive Guide

FineReport

Business Intelligence Technologies Overview. With the advancement of technology, it is becoming easier for people to obtain a large amount of data. Therefore, the technical requirements for analyzing data are constantly increasing. This is the opportunity for the creation and development of Business Intelligence Technologies. This article will systematically introduce the definition of BI technology, the technology list and provide technology examples and tool recommendations.

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DataOps Should Be Part of Everyone on the Data Team

DataKitchen

Data Transformers podcast hosts Peggy Tsai & Ramesh Dontha chat with DataKitchen CEO Chris Bergh about how DataOps should be 10% of every data team member's job. The post DataOps Should Be Part of Everyone on the Data Team first appeared on DataKitchen.

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Putting People First: diversity, equality and inclusion start with data

Cloudera

There have been many points in history where society has been forced to reflect on the expectations of diversity and inclusion and as mentioned in our “ Embracing the conversation ” blog post earlier this year, the last 18 months have presented a real opportunity for change. As companies begin the process of self-examination, data once again holds the potential as an agent of change and Cloudera wants to help our customers unlock the endless potential of the workforce by making data and analyti

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A Beginners Guide to Machine Learning Operations

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction I bet all of you might have been witness to. The post A Beginners Guide to Machine Learning Operations appeared first on Analytics Vidhya.

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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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Data Centers Are Reshaping the Future of eCommerce Management

Smart Data Collective

E-commerce companies around the world are investing more in data centers than ever before. The benefits of data centers for e-commerce companies are undeniable. They give online retailers high levels of control over their own internal data. They are not subject to data loss from hosting it in the cloud, which might have retention policies outside their control.

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Why DataOps Matters in the Data Value Chain

DataKitchen

Samir Sharma, host of The Data Strategy Show podcast & CEO of datazuum, chats with DataKitchen CEO Chris Bergh about how DataOps stitches together data teams. The post Why DataOps Matters in the Data Value Chain first appeared on DataKitchen.

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How to Build a Winning Data Team

DataCamp

Your organization is generating countless data points, and this data hides many actionable insights that can improve your company’s performance. Learn how to build a winning data-driven team that leverages the right data science skills.

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Creating Android Machine Learning Apps Using KivyMD

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Android Apps have truly captured our lives. Almost every day. The post Creating Android Machine Learning Apps Using KivyMD appeared first on Analytics Vidhya.

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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.

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AI Technology is Invaluable in The Fight Against Ransomware

Smart Data Collective

Artificial intelligence is very important for solving many modern business challenges. One of the most important applications of AI technology is in the context of cybersecurity. Ransomware is a significant threat in our connected world. Whether it’s at your business or on your personal devices, a hacker/attacker can cause untold damage and wreak havoc on your life with a successful ransomware attack.

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The Intersection of DataOps & Data Governance

DataKitchen

BigIDeas on the GO podcast host & BigID CEO Dimitri Sirota interviews DataKitchen CEO Chris Bergh on the importance & influence of DataOps on Data Governance. The post The Intersection of DataOps & Data Governance first appeared on DataKitchen.

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#ClouderaLife Spotlight: Addy Azmi, Senior Internal SOX Auditor

Cloudera

As we wrap up Pride month, we’d like to introduce Addy Azmi, a proud member of our LGBTQ Employee Resource Group. . Based in the Cork, Ireland office, Addy is a Senior Internal SOX Auditor who collaborates with process owners in the Finance team to ensure all processes are in compliance with the Sarbanes-Oxley Act. It’s a role this accounting professional really loves.

Finance 83
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An Ultimate Guide to Opencv-Learning Libraries 1.0

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction “Vision is an Art of Seeing what is invisible to. The post An Ultimate Guide to Opencv-Learning Libraries 1.0 appeared first on Analytics Vidhya.

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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

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A New Era for the Intelligent Enterprise, with RISE with SAP

Timo Elliott

My updated, 10-minute summary of the different components of SAP’s Intelligent Enterprise vision, with information on RISE with SAP, a program to help you become one! And there’s a version in French here !

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Introducing Continuous AI

DataRobot

Those who watched the vision presentation at the recent AI Experience 2021 event might have noticed that we quietly announced a new MLOps feature called Continuous AI. I want to take some time and drill into this feature in a little more detail. First off, I won’t call it a feature again. Calling something a feature diminishes its value, and Continuous AI is too important for that.

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Lessons Learned Shadowing the Mythical 10x Programmer

Dataiku

In the book “ Mythical Man-Month ,” Fred Brooks demonstrates that the most efficient developers, the so-called “10x developers,” code ten times more efficiently than their average counterparts. Surprisingly enough, the heirs of the Stakhanovite movement are software engineers working for big tech companies.

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Part 3: Topic Modeling and Latent Dirichlet Allocation (LDA) using Gensim and Sklearn

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Overview In the previous two installments, we had understood in detail. The post Part 3: Topic Modeling and Latent Dirichlet Allocation (LDA) using Gensim and Sklearn appeared first on Analytics Vidhya.

Modeling 304
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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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Data Empowerment Fueled by Self-Service

erwin

From overburdened data operations experts enabling data usage, to end-users struggling to access the data that matters, organizations continue to look for ways to give stakeholders the tools they need to do their jobs more effectively. A key trend proving successful in data empowerment is investing in self-service technology. Self-service done right can enable a new level of productivity and operational efficiency to fuel the next generation of data transformation.

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Is Your Data Ready for Climate Risk Scrutiny?

Teradata

As banks learn to adjust to the changes enforced by the COVID pandemic, the attention of customers, regulators & shareholders is returning to another global crisis – climate change.

Risk 59
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Trends & Best Practices for AI Maturity in APAC

Dataiku

Around the world, organizations’ strategies and roadmaps have been rocked by shifting global events, but how does AI fit into the mix? It turns out companies have largely leaned into AI efforts as a solution to provide increased agility in turbulent times , and it seems the APAC region is no exception.

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Style your Pandas DataFrame and Make it Stunning

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Pandas is an important data science library and everybody involved. The post Style your Pandas DataFrame and Make it Stunning appeared first on Analytics Vidhya.

IT 304
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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.