DataKitchen

AUGUST 3, 2021

The data mesh design pattern breaks giant, monolithic enterprise data architectures into subsystems or domains, each managed by a dedicated team. With an architecture comprised of numerous domains, enterprises need to manage order-of-operations issues, inter-domain communication, and shared services like environment creation and meta-orchestration. A DataOps superstructure provides the foundation to address the many challenges inherent in operating a group of interdependent domains.

Data Architecture 246

Data Architecture Data Lake Cost-Benefit Data Warehouse 246

Analytics Vidhya

AUGUST 5, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In neural networks we have lots of hyperparameters, it is. The post Hyperparameter Tuning Of Neural Networks using Keras Tuner appeared first on Analytics Vidhya.

Data Science 400

Data Science Publishing Analytics IT 400

Domino Data Lab

AUGUST 6, 2021

In the world of machine learning (ML) and artificial intelligence (AI), governance is a lifelong pursuit. All models require testing and auditing throughout their deployment and, because models are continually learning, there is always an element of risk that they will drift from their original standards. As such, model governance needs to be applied to each model for as long as it’s being used.

Machine Learning 145

Machine Learning Modeling Testing Data Science 145

TDAN

AUGUST 3, 2021

Increasingly, external data (alternative data, public data, open data – call it what you want) is being called the “secret sauce” of driving advanced analytics, developing machine learning and AI capabilities, enriching existing models, and delivering unrealized insights to every part of your organization. The difficulty in connecting to this data is top of mind for […].

Machine Learning 145

Machine Learning Modeling Analytics IT 145

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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

AUGUST 5, 2021

Collecting, processing, and carrying out analysis on streaming data , in industries such as ad-tech involves intense data engineering. The data generated daily is huge (100s of GB data) and requires a significant processing time to process the data for subsequent steps. Another challenge is the joining of datasets to derive insights. Each process on average has more than 10 datasets and an equal number of joins with multiple keys.

Data Processing 143

Data Processing Metadata Broadcasting Statistics 143

Analytics Vidhya

AUGUST 5, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Data- a world-changing gamer is a key component for all. The post Let’s Understand All About Data Wrangling! appeared first on Analytics Vidhya.

Data Science 400

Data Science Publishing Analytics 400

TDAN

AUGUST 3, 2021

Through big data modeling, data-driven organizations can better understand and manage the complexities of big data, improve business intelligence (BI), and enable organizations to benefit from actionable insight. Big data modeling is an extension of data modeling, a practice adopted by many areas of Information Technology (IT), used to better understand enterprise data resources.

Business Intelligence 143

Business Intelligence Big Data Modeling Data-driven 143

Smart Data Collective

AUGUST 2, 2021

Data-driven organizations are always looking for smarter ways to reach their customers. One of the biggest benefits of using big data in 2021 is improving customer engagement. Online businesses have discovered that big data can be a powerful asset when they want to boost their conversion rates. A good UX design that is predicated on big data is essential to the success of every business online.

Data-driven 134

Data-driven Big Data Interactive Cost-Benefit 134

Analytics Vidhya

AUGUST 1, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Data Visualization Data Visualization techniques involve the generation of graphical or. The post Effective Data Visualization Techniques in Data Science Using Python appeared first on Analytics Vidhya.

Visualization 400

Visualization Data Science Publishing Analytics 400

Dataiku

AUGUST 4, 2021

“AI is starting to deliver on its potential” — it feels like years that people have been singing variations of this refrain, doesn’t it? And while organizations have come a long way with AI, I don’t think we’ve even scratched the surface when it comes to business potential with and value from AI. That’s why today, we’re proud to announce a $400 million Series E funding round that will allow Dataiku to unleash Everyday AI within exponentially more organizations around the world.

IT 122

IT 122

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Data-driven

Cloudera

AUGUST 5, 2021

In our previous blog, we talked about the four paths to Cloudera Data Platform. . In-place Upgrade. Sidecar Migration. Rolling Sidecar Migration. Migrating to Cloud. If you haven’t read that yet, we invite you to take a moment and run through the scenarios in that blog. The four strategies will be relevant throughout the rest of this discussion. Today, we’ll discuss an example of how you might make this decision for a cluster using a “round of elimination” process based on our decision workflow.

Testing 119

Testing Risk Finance Reporting 119

Sisense

AUGUST 4, 2021

Blog. COVID-19 is a huge data story in many ways, and food delivery analytics are a big part of that. Online food ordering in 2020 hit $115 billion globally and could reach nearly $127 billion in 2021 according to an April 2021 report. For much of the pandemic, and through to today, diners switched from sit-down dining to takeout and delivery, a decision based as much on consumer access to data (like local infection rates) as local mandates that saw many restaurants unable to seat large numbers

Analytics 119

Analytics Optimization Sales Marketing 119

Analytics Vidhya

AUGUST 1, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Source Introduction: In this article, we will learn all the important. The post A Guide To Complete Statistics For Data Science Beginners! appeared first on Analytics Vidhya.

Statistics 390

Statistics Data Science Publishing Analytics 390

Smart Data Collective

AUGUST 1, 2021

Machine learning technology has profoundly impacted the IT sector. A growing number of IT professionals are using new tools that rely on advanced machine learning algorithms to complete some of the tasks they are charged with. One task that has been revamped with machine learning technology is data recovery. You can use machine learning to identify the files that were accidentally deleted much more easily and make sure they are adequately restored.

Machine Learning 120

Machine Learning Software Technology Risk 120

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

Cloudera

AUGUST 2, 2021

Recently, I worked with a large fortune 500 customer on their migration from Apache Storm to Apache NiFi. If you’re asking yourself, “Isn’t Storm for complex event processing and NiFi for simple event processing?”, you’re correct. A few customers chose a complex event engine like Apache Storm for their simple event processing, even when Apache NiFi is the more practical choice, cutting drastically down on SDLC (software development lifecycle) time.

Optimization 119

Optimization Publishing Software Reporting 119

TDAN

AUGUST 3, 2021

Rigidly adhering to a standard, any standard, without being reasonable and using your ability to think through changing situations and circumstances is itself a bad standard. I guess I should quickly define what I mean by a “database standard” for those who are not aware. Database standards are common practices and procedures that are documented and […].

Data Quality 116

Data Quality Data Architecture Modeling Management 116

Analytics Vidhya

AUGUST 3, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In this article, you’ll learn about Python Data Types and. The post Data Types in Python You Need to know at the Beginning of your Data Science Journey appeared first on Analytics Vidhya.

Data Science 389

Data Science Publishing Analytics 389

DataRobot

AUGUST 6, 2021

“Winning at 200mph” is the theme for DataRobot’s amazing and unique sponsorship of an Andretti Autosports Indy race car driven by Robert Megennis. The 12-city series of events ranged from the streets of St. Petersburg, Florida, to downtown Toronto, to Portland International Raceway, with the season coming to its end at the Long Beach Grand Prix. Throughout 2021, I went on an adventure of traveling around the country to many racing events learning everything I could about the technology, the peop

Strategy 98

Strategy Manufacturing Data Processing Data-driven 98

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

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

Cloudera

AUGUST 3, 2021

Minimizing Supply Chain Disruptions . January 2020 is a distant memory, but for most, the early days of the pandemic was a time that will be ingrained in memories for decades, if not generations. Over the last 18 months, supply chain issues have dominated our nightly news, social feeds and family conversations at the dinner table. Some but not all have stemmed from the pandemic. .

Analytics 111

Analytics Digital Transformation Forecasting Risk 111

FineReport

AUGUST 4, 2021

Emerging technologies are changing the way companies collect and extract available insights from data. More and more companies use data to drive their decisions. This makes cutting-edge analysis and business intelligence strategies one of the best advantages companies can have. The more you know about business intelligence trends, the more accurate decision-making you will make.

Business Intelligence 98

Business Intelligence Dashboards Data-driven Internet of Things 98

Analytics Vidhya

AUGUST 4, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction OpenCV is a great tool to play with images and. The post Getting Started With Object Tracking Using OpenCV appeared first on Analytics Vidhya.

Data Science 382

Data Science Publishing Analytics 382

DataRobot

AUGUST 5, 2021

There’s a saying, “If you can’t say something nice, don’t say anything at all.” Is there too much hype about AI or too much doomsaying? AI Hype. In 2019, Utah struck a deal with Banjo, a threat detection firm selling AI services to process live traffic feeds, dispatch logs, and other data. Banjo claimed to use software that automatically detected anomalies to help law enforcement solve crimes and respond faster.

Uncertainty 98

Uncertainty Sales Risk Statistics 98

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

Cloudera

AUGUST 6, 2021

Today’s organizations face rising customer expectations in a fragmented marketplace amidst stiff competition. This landscape is one that presents opportunities for a modern data-driven organization to thrive. At the nucleus of such an organization is the practice of accelerating time to insights, using data to make better business decisions at all levels and roles.

Data-driven 105

Data-driven B2B Data Strategy Strategy 105

Boris Evelson

AUGUST 4, 2021

Multiple BI platforms in an enterprise are here to stay. Respondents to an informal social media survey that I’ve been running for the last couple of years report that 25% organizations use 10 or more business intelligence (BI) platforms, 61% organizations use 4 or more and 86% organizations 2 or more (anecdotal evidence based on […].

Business Intelligence 93

Business Intelligence Enterprise Reporting Data Governance 93

Analytics Vidhya

AUGUST 5, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon The focus of Computer vision is surrounded by the extraction of. The post Edge & Contour Detection – An application of Computer Vision appeared first on Analytics Vidhya.

Data Science 376

Data Science Publishing Analytics Structured Data 376

FineReport

AUGUST 2, 2021

Business intelligence for marketing is the application of business intelligence in the field of marketing, allowing marketers to collect data, debugging data and processing it out through enterprise resource planning and company strategy. How BI can be applied to marketing? With the rapid development of Internet and changes of IT technology, marketing becomes a data-driven industry which requires fast data processing and intuitive demonstration.

Business Intelligence 92

Business Intelligence Marketing Slice and Dice Dashboards 92

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

Sales

Cloudera

AUGUST 4, 2021

Historically, maintenance has been driven by a preventative schedule. Today, preventative maintenance, where actions are performed regardless of actual condition, is giving way to Predictive, or Condition-Based, maintenance, where actions are based on actual, real-time insights into operating conditions. While both are far superior to traditional Corrective maintenance (action only after a piece of equipment fails), Predictive is by far the most effective.

IoT 98

IoT Unstructured Data Machine Learning Predictive Modeling 98

Domino Data Lab

AUGUST 6, 2021

Data science is an incredibly complex field. When you factor in the requirements of a business-critical machine learning model in a working enterprise environment, the old cat-herding meme won’t even get a smile. Framing data science projects within the four steps of the data science lifecycle (DSLC) makes it much easier to manage limited resources and control timelines, while ensuring projects meet or exceed the business requirements they were designed for. 4 Steps in the DSLC.

Data Science 75

Data Science Testing Modeling Publishing 75

Analytics Vidhya

AUGUST 2, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In computer vision, we have a convolutional neural network that. The post Image Classification Using CNN -Understanding Computer Vision appeared first on Analytics Vidhya.

Data Science 376

Data Science Publishing Analytics Unstructured Data 376

Dataiku

AUGUST 4, 2021

Only about five years ago, data preparation took up to 80% of time dedicated to a data project. In 2020, an Anaconda survey found that data scientists now spend about 45% of their time on data preparation tasks, including loading and cleaning data. While this is a significant improvement, data preparation remains a time-consuming step that needs to be optimized in order to scale AI across the organization and complete more projects faster.

Business Analysis 75

Business Analysis Optimization 75

Speaker: Jesse Simms, VP at Giant Partners

This new, thought-provoking webinar will explore how even incremental efforts and investments in your data can have a tremendous impact on your direct mail and multi-channel marketing campaign results! Industry expert Jesse Simms, VP at Giant Partners, will share real-life case studies and best practices from client direct mail and digital campaigns where data modeling strategies pinpointed audience members, increasing their propensity to respond – and buy.

Modeling