DataKitchen

JULY 1, 2021

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.

Data Processing 246

Data Processing Analytics 246

Smart Data Collective

JULY 1, 2021

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.

Cost-Benefit 107

Cost-Benefit Manufacturing Sales Technology 107

Analytics Vidhya

JUNE 30, 2021

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.

Data Science 400

Data Science Publishing Analytics Unstructured Data 400

David Menninger's Analyst Perspectives

JULY 2, 2021

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

Analytics Data Governance Machine Learning Business Intelligence 219

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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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.

Optimization

DataKitchen

JUNE 30, 2021

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.

Machine Learning 130

Machine Learning Data Science 130

Smart Data Collective

JUNE 29, 2021

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

Insurance Modeling IT Big Data 133

David Menninger's Analyst Perspectives

JULY 1, 2021

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

Analytics Data Governance Machine Learning Business Intelligence 208

DataKitchen

JUNE 30, 2021

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.

Data Processing 130

Data Processing IT 130

Timo Elliott

JULY 1, 2021

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 !

Enterprise 108

Enterprise Digital Transformation 108

Analytics Vidhya

JUNE 30, 2021

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.

Data Science 394

Data Science Publishing Analytics Unstructured Data 394

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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?

Business Intelligence

FineReport

JULY 1, 2021

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.

Business Intelligence 98

Business Intelligence Technology Data Warehouse Dashboards 98

DataKitchen

JUNE 30, 2021

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.

Data Processing 130

Data Processing Data Transformation 130

Cloudera

JUNE 29, 2021

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

Measurement 91

Measurement Data-driven Strategy Analytics 91

Analytics Vidhya

JUNE 26, 2021

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.

Data Science 366

Data Science Publishing Analytics 366

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📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

Data-driven

Smart Data Collective

JUNE 28, 2021

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.

Management 90

Management Big Data Advertising Data Processing 90

DataKitchen

JUNE 30, 2021

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.

Data Processing 130

Data Processing Data Strategy Strategy 130

Cloudera

JUNE 28, 2021

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 84

Finance Technology IT Management 84

Analytics Vidhya

JULY 1, 2021

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.

Data Science 364

Data Science Publishing Analytics 364

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.

Marketing

Smart Data Collective

JULY 1, 2021

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.

Technology 87

Technology Machine Learning Statistics Data-driven 87

DataKitchen

JUNE 30, 2021

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.

Data Governance 130

Data Governance Data Processing 130

DataCamp

JULY 1, 2021

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.

Data-driven 83

Data-driven Data Science 83

Analytics Vidhya

JUNE 28, 2021

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.

Deep Learning 359

Deep Learning Data Science Publishing Analytics 359

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Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

Reporting

DataRobot

JUNE 29, 2021

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.

Machine Learning 80

Machine Learning Data Processing Forecasting Modeling 80

Dataiku

JULY 1, 2021

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.

Software 66

Software 66

Domino Data Lab

JULY 1, 2021

Modeling 64

Modeling Machine Learning Data Science 64

Analytics Vidhya

JUNE 28, 2021

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.

Machine Learning 357

Machine Learning Data Science Publishing Analytics 357

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

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.

Business Intelligence

erwin

JUNE 29, 2021

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.

Data Governance 64

Data Governance Data-driven Reporting Technology 64

Dataiku

JULY 2, 2021

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.

Strategy 59

Strategy IT 59

Teradata

JUNE 30, 2021

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

Risk 59

Analytics Vidhya

JUNE 28, 2021

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.

Data Science 352

Data Science Publishing Analytics 352

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.

Data-driven