DataKitchen

APRIL 13, 2021

The post 10 Upcoming Data Science Platforms for Massive Disruption first appeared on DataKitchen.

Data Science 244

Data Science 244

Analytics Vidhya

APRIL 13, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. 1. Introduction We generally see data science from different perspectives. The post Rethinking AI – Artificial Intelligence appeared first on Analytics Vidhya.

Data Science 380

Data Science Publishing Analytics Machine Learning 380

David Menninger's Analyst Perspectives

APRIL 12, 2021

Process-mining software isn’t exactly new, but it’s also not widely known in the software technology market. The discipline has been around for at least a decade, but is generating more interest these days with both specialist vendors and major enterprise software vendors offering process-mining products and services. We assert that through 2022, 1 in 4 organizations will look to streamline their operations by exploring process mining.

Analytics 278

Analytics Software Marketing Enterprise 278

datapine

APRIL 13, 2021

With the exponential growth of digital businesses, so has grown the need to outsource some key processes to digital agencies. Although this is positive for the many types of agencies in the market, it has also left them facing a big challenge. With more potential clients on the lookout, agencies need to stand out from the rest with top-quality services and unique features that will make them irreplaceable for their clients.

Dashboards 256

Dashboards Reporting Analytics Cost-Benefit 256

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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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

APRIL 13, 2021

Download the 2021 DataOps Vendor Landscape here. Read the complete blog below for a more detailed description of the vendors and their capabilities. DataOps is a hot topic in 2021. This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. Companies that implement DataOps find that they are able to reduce cycle times from weeks (or months) to days, virtually eliminate data errors, increase collaboration, and dramatically imp

Testing 312

Testing Machine Learning Consulting Data Quality 312

Analytics Vidhya

APRIL 16, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Table of Contents Introduction Gentle Overview Cons of Using PCA. The post Principal Component Analysis Introduction and Practice Problem appeared first on Analytics Vidhya.

Data Science 400

Data Science Publishing Analytics Structured Data 400

Smart Data Collective

APRIL 16, 2021

Cyber-attacks have emerged as a big threat to the world. The World Economic Forum has included cyber-attacks and data breaches in the list of top global risks in 2020. The problems associated with data breaches cannot possibly be overstated. The average data breach cost $3.86 million and that figure could rise even further in the future. While a cyber-attack can take a toll on anyone, it is particularly threatening for business enterprises.

Enterprise 144

Enterprise Data-driven Data Processing Risk 144

Depict Data Studio

APRIL 13, 2021

Wondering how to visualize your qualitative data? Maybe you’ve got open-ended survey responses, focus group notes, or speech transcripts. Qualitative data visualization can bring our words and phrases to life. My friend Jon Schwabish from PolicyViz asked me to partner on his One Chart at a Time project, in which we’re helping you get better-acquainted with common and not-so-common chart types.

Visualization 135

Visualization IT 135

Analytics Vidhya

APRIL 11, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. This post is to compare the performance of different methods. The post How to manipulate a 20G CSV file efficiently? appeared first on Analytics Vidhya.

Data Science 400

Data Science Publishing Analytics Big Data 400

erwin

APRIL 16, 2021

Data governance is best defined as the strategic, ongoing and collaborative processes involved in managing data’s access, availability, usability, quality and security in line with established internal policies and relevant data regulations. erwin recently hosted the third in its six-part webinar series on the practice of data governance and how to proactively deal with its complexities.

Data Governance 128

Data Governance Metadata Cost-Benefit Digital Transformation 128

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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

Smart Data Collective

APRIL 14, 2021

For most entrepreneurs, the best way to make money is to find ways to work smarter and not harder. While different companies, regardless of their size, have different operational processes, they share a common need for actionable insight to drive success in their business. Advancement in big data technology has made the world of business even more competitive.

Business Intelligence 137

Business Intelligence Dashboards Visualization Big Data 137

bridgei2i

APRIL 16, 2021

PODCAST: Making AI Real. Episode 5: Debunking AI Myths. Listening time: 15 minutes. Debunking AI Myths. In this episode of the AI to Impact podcast, Divyansh Mishra and Anil Prasad from AI Labs, BRIDGEi2i discuss the myriad misconceptions of artificial intelligence and decode the real deal with AI. They talk about the buzzword that used to be AI and elaborate on the science behind Deep Neural Networks.

Deep Learning 98

Deep Learning Machine Learning Digital Transformation Software 98

Analytics Vidhya

APRIL 12, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. The following tutorial assumes some basic knowledge about Python programming. The post A Gentle Introduction to PyTorch Library for Deep Learning appeared first on Analytics Vidhya.

Deep Learning 400

Deep Learning Data Science Publishing Analytics 400

Sisense

APRIL 15, 2021

Blog. Analytics is the future. It’s the present, too, but you already know that. Your company is gathering data (and has likely been doing so for years), and you’ve probably got a system or two to glean insights from that data to make smarter decisions. But just as you’re getting a handle on your analytics program, you start hearing about “augmented analytics,” and now you’re worried you need to adopt that too to stay competitive in an evolving world.

Analytics 98

Analytics Data Science Machine Learning Modeling 98

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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

APRIL 13, 2021

A robust Artificial Intelligence or AI-based virtual assistant can supercharge your lead conversion process and optimize your marketing and sales teams’ performance. Conversica is one such solution, providing Intelligent Virtual Assistants (IVA) for customer engagement that help companies attract, obtain, and grow a customer base at scale. However, while Conversica offers excellent AI assistant features and functionalities, there are pros and cons to using the solution that might not fully addre

Marketing 135

Marketing Sales Cost-Benefit Optimization 135

DataCamp

APRIL 15, 2021

We’ve compiled a list of expert resources to inform your data strategy. Explore these webinars and white papers at no cost.

Data Strategy 98

Data Strategy Strategy 98

Analytics Vidhya

APRIL 16, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Creating a machine learning model is a wholesome process involving. The post The Easiest Way To Deploy Machine Learning Models: PyWebIO appeared first on Analytics Vidhya.

Machine Learning 397

Machine Learning Modeling Data Science Publishing 397

Jet Global

APRIL 14, 2021

What is a Healthcare KPI? A healthcare Key Performance Indicator (KPI) or metric is a well-defined performance measure that is used to observe, analyze, optimize, and transform a healthcare process to increase satisfaction for both patients and healthcare providers alike. These metrics are commonly used by care facilities to compare their performance to other care facilities and identify areas of improvement.

Metrics 98

Metrics Reporting KPI Insurance 98

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

APRIL 12, 2021

There’s a lot of data out there, even for businesses that use relatively limited data sets for niche industries. Now that so many companies have tons of data to sift through before they can make informed decisions, lots of organizations are turning to data science consultants. A data science consultant is a specialist that knows how and where to sift through mountains of data for the good stuff that allows you to make smart decisions and take advantage of all the information provided by your cus

Consulting 132

Consulting Data Science Marketing Testing 132

Alation

APRIL 13, 2021

Chris Atkinson is partner CTO at Snowflake. He works with Snowflake partners to craft joint solutions. Much of his work focuses on democratising data and breaking down data silos to drive better business outcomes. In this blog, Chris shows how Snowflake and Alation together accelerate data culture. He shows how Texas Mutual Insurance Company has embraced data governance to build trust in data.

Insurance 98

Insurance Data Governance Data-driven Metrics 98

Analytics Vidhya

APRIL 12, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Machine Learning is a very interesting branch of Artificial Intelligence. The post Probability Theory Basics in Machine Learning appeared first on Analytics Vidhya.

Machine Learning 395

Machine Learning Data Science Publishing Analytics 395

ScienceSoft

APRIL 13, 2021

No more wrong data analysis caused by bad data! Be armed with our new blog post on data quality assurance in the context of CRM.

Data Quality 98

Data Quality 98

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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

Smart Data Collective

APRIL 13, 2021

In the modern world of business, data is one of the most important resources for any organization trying to thrive. It also happens to be one of the most vulnerable and frequently attacked. Business data is highly valuable for cybercriminals. They even go after meta data. Big data can reveal trade secrets, financial information, as well as passwords or access keys to crucial enterprise resources.

Testing 130

Testing Behavioral Analytics Data-driven Big Data 130

Jet Global

APRIL 12, 2021

Demands on tax teams have never been greater, especially when the uncertainty of the economy and the ongoing impact of the pandemic are considered. Yet somehow tax professionals need to transition from their current position, which is arguably often restricted to compliance and reporting processes, to take on a more strategic role that adds more value to the business.

Software 98

Software Uncertainty Forecasting Finance 98

Analytics Vidhya

APRIL 11, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. 1. Introduction: Python is a high-level, interpreted, and general-purpose programming. The post An Overview of Python Memory Management appeared first on Analytics Vidhya.

Management 394

Management Data Science Publishing Analytics 394

Cloudera

APRIL 13, 2021

You’ve probably heard it more than once: Machine learning (ML) can take your digital transformation to another level. It’s a pie-in-the-sky statement that sounds great, right? And while you’d be forgiven for thinking that it might sound too good to be true, operational ML is , in fact, achievable and sustainable. You can get the very kind of ML you need to increase revenue and lower costs.

Machine Learning 98

Machine Learning Enterprise Experimentation Modeling 98

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

Smart Data Collective

APRIL 13, 2021

Big data analytics has already had a transformative influence across a wide range of sectors, and it’s perhaps no more prevalent than in the world of healthcare. With the sheer volume of information that patients are capable of producing and the heightened emphasis on the industry in the wake of the COVID-19 pandemic , big data may yet develop into one of the most significant tools in maintaining the health of individuals and even anticipating the emergence of conditions that are yet to manifest

Big Data 126

Big Data Insurance Data Analytics Consulting 126

Dataiku

APRIL 14, 2021

The rapid acceleration of AutoML has spurred the application of automation to the whole data-to-insights pipeline, from cleaning the data to tuning algorithms through feature selection and feature creation to operationalization. At this larger scale, paired with an increasing volume of data, AutoML is producing more insights in less time. How can this development help analysts rise to the next level of their career?

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Analytics Vidhya

APRIL 13, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Python is one of the most used programming languages for. The post Top 15 Python Libraries you must know for Data Science in 2021 appeared first on Analytics Vidhya.

Data Science 384

Data Science Publishing Analytics Machine Learning 384

Cloudera

APRIL 14, 2021

What is Cloudera Data Engineering (CDE) ? Cloudera Data Engineering is a serverless service for Cloudera Data Platform (CDP) that allows you to submit jobs to auto-scaling virtual clusters. CDE enables you to spend more time on your applications, and less time on infrastructure. CDE allows you to create, manage, and schedule Apache Spark jobs without the overhead of creating and maintaining Spark clusters.

Data Warehouse 89

Data Warehouse Data Processing Machine Learning Data Quality 89

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