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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How to Detect COVID-19 Cough From Mel Spectrogram Using Convolutional Neural Network

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon COVID-19 COVID-19 (coronavirus disease 2019) is a disease that causes respiratory. The post How to Detect COVID-19 Cough From Mel Spectrogram Using Convolutional Neural Network 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 219
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State of AI in Sales & Marketing 2025

AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.

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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 133

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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 208
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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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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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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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How to Achieve High-Accuracy Results When Using LLMs

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

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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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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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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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Complete guide on How to use Autoencoders in Python

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction An autoencoder is actually an Artificial Neural Network that is. The post Complete guide on How to use Autoencoders in Python appeared first on Analytics Vidhya.

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Zero Trust Mandate: The Realities, Requirements and Roadmap

The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.

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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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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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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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Revolutionize QA: GAPs AI-Driven Accelerators for Smarter, Faster Testing

GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.

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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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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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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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Top 5 Skills Needed to be a Deep Learning Engineer!

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon “What’s behind driverless cars? Artificial Intelligence or more specifically Deep Learning” . The post Top 5 Skills Needed to be a Deep Learning Engineer! appeared first on Analytics Vidhya.

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The GTM Intelligence Era: ZoomInfo 2025 Customer Impact Report

ZoomInfo customers aren’t just selling — they’re winning. Revenue teams using our Go-To-Market Intelligence platform grew pipeline by 32%, increased deal sizes by 40%, and booked 55% more meetings. Download this report to see what 11,000+ customers say about our Go-To-Market Intelligence platform and how it impacts their bottom line. The data speaks for itself!

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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 79
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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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Building a Named Entity Recognition model using a BiLSTM-CRF network

Domino Data Lab

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MLOps : Machine Learning Operations in Microsoft Azure

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Machine Learning Operations (MLOps) is the primary way to increase the. The post MLOps : Machine Learning Operations in Microsoft Azure appeared first on Analytics Vidhya.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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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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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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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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Join the DataFrames like SQL tables in Python using Pandas

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon In the age of relational databases, Joining and Merging tables is. The post Join the DataFrames like SQL tables in Python using Pandas appeared first on Analytics Vidhya.

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15 Modern Use Cases for Enterprise Business Intelligence

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?