Sat.May 29, 2021 - Fri.Jun 04, 2021

article thumbnail

Automated Machine Learning for Supervised Learning (Part 1)

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon This. The post Automated Machine Learning for Supervised Learning (Part 1) appeared first on Analytics Vidhya.

article thumbnail

MicroStrategy Earns Value Index Rating of Exemplary in Analytics and Data

David Menninger's Analyst Perspectives

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

Analytics 246
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Discover The Power Of Gauge Charts: Definition, Best Practices & Examples

datapine

Table of Contents. 1) What Is A Gauge Chart? 2) Benefits Of Gauge Charts. 3) When To Use A Gauge Chart. 4) How to Create A Gauge Chart. 5) Top 7 Gauge Chart Examples. Data visualization is a fundamental step for successful data analysis. By giving your information a visual context, you make it more understandable and prepared to identify trends, patterns, or problems.

KPI 218
article thumbnail

Turning the page

Cloudera

Today marks the beginning of an exciting new chapter for Cloudera. Cloudera will become a private company with the flexibility and resources to accelerate product innovation, cloud transformation and customer growth. Cloudera will benefit from the operating capabilities, capital support and expertise of Clayton, Dubilier & Rice (CD&R) and KKR – two of the most experienced and successful global investment firms in the world recognized for supporting the growth strategies of the businesses

article thumbnail

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.

article thumbnail

4 Use Cases All Data Scientist Should Learn

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Illustrations of how to address traditional machine learning algorithm queries. Index. The post 4 Use Cases All Data Scientist Should Learn appeared first on Analytics Vidhya.

article thumbnail

TIBCO Information Builders is Named an Innovative Vendor in 2021 Value Index

David Menninger's Analyst Perspectives

We are happy to share some insights about Information Builders’ WebFOCUS Business Intelligence and Analytics Platform drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.

More Trending

article thumbnail

The Techniques and Technologies Bringing Agility to Enterprise Data

DataKitchen

The post The Techniques and Technologies Bringing Agility to Enterprise Data first appeared on DataKitchen.

article thumbnail

Develop your first Deep Learning Model in Python with Keras

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction An artificial Neural Network is a sub-field of Artificial Intelligence. The post Develop your first Deep Learning Model in Python with Keras appeared first on Analytics Vidhya.

article thumbnail

IBM is Exemplary and Leader in Analytics and Data Value Index

David Menninger's Analyst Perspectives

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

Analytics 189
article thumbnail

Data Science Journey Walkthrough – From Beginner to Expert

Smart Data Collective

What is data science? Data science is analyzing and predicting data, It is an emerging field. Domain experts of all fields use it. Some of the applications of data science are driverless cars, gaming AI, movie recommendations, and shopping recommendations. Since the field covers such a vast array of services, data scientists can find a ton of great opportunities in their field.

article thumbnail

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

article thumbnail

Embedded Analytics: The Build vs Buy Debate is Pointless

Sisense

Blog. You’ve decided you want to put data and analytics into your product, service, or experience. Good decision! This kind of functionality isn’t just a “nice to have” anymore; users of all kinds demand it, and customer-facing analytics are revolutionizing businesses in every industry. In a 2020 survey by the IDC (commissioned by Sisense), 40% of respondents said their product team was planning to use analytics in 2021 — up from 27% in 2020.

Analytics 105
article thumbnail

Will MLOps change the future of the healthcare system?

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Overview: From the advent of modern Science & Technology, Researchers are. The post Will MLOps change the future of the healthcare system? appeared first on Analytics Vidhya.

article thumbnail

First Rule of Data Storytelling

TDAN

Bedtime stories are as good as the problem they solve, every child will tell you that. Our children’s capacity to distinguish a good story from a bad one is not learned, but hardwired from birth. Storytellers and parents know this very well. It is just natural: humans have been telling stories for thousands of years, […].

IT 104
article thumbnail

How Should Data Drive Your Email Marketing Strategy In 2021?

Smart Data Collective

A data-driven email marketing strategy is paramount for businesses to survive in such a competitive landscape. After all, all this information helps you drive sales and ensure that you are targeting the right products/services to the right people. Surveys have shown that 73% of marketing professionals believe email marketing is essential to their organization’s success.

Marketing 132
article thumbnail

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.

article thumbnail

Ilan Gleiser: Predicting a World where Data and Technology Solve Economic Inequality

DataRobot

Will the future be a dystopia? A utopia? Or maybe a… protopia? . Those are among the fascinating topics I recently discussed with Ilan Gleiser. Gleiser is founder and CEO of Synarchy AI , where he works with businesses to help them benefit from machine learning and natural-language processing (NLP) to drive economic value, automate processes, and generate insights.

article thumbnail

A complete guide to doing Geospatial Analytics

Analytics Vidhya

ArticleVideo Book Introduction Today our phones resemble a genie’s lamp, a powerful wish-granting device at your fingertips! It can bring us anything and take. The post A complete guide to doing Geospatial Analytics appeared first on Analytics Vidhya.

Analytics 378
article thumbnail

Is Artificial Intelligence a Problem or an Opportunity?

TDAN

Artificial Intelligence (AI) seems to have reached its peak, and yet it is still growing and reaching even the most remote parts of the world. There are countless benefits to this technology, including life-saving tools and systems that function with automated AI algorithms. However, some people are skeptical about the widespread and free use of […].

article thumbnail

4 Great Programs Businesses Can Use to Get Accurate Data Results

Smart Data Collective

In 2016 experts projected that the “ big data ” industry would be worth somewhere around $30 billion by 2022. Based on last year’s data, that number has grown to $275 billion, and some experts expect it to be even higher after increases in computer usage and ecommerce due to the COVID pandemic forcing many companies to go remote and many consumers to do their shopping online, where data is collected for every purchase from pizza to a streaming movie.

Big Data 128
article thumbnail

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.

article thumbnail

Doing Power BI the Right Way: 10. Designing and managing large datasets

Paul Turley

Part of the the series: Doing Power BI the Right Way Later in this post, you will find a 27 minute framed video including a series of interviews and discussions with a few of my colleagues. They provide perspectives and recent experiences related to this topic.

article thumbnail

Integration of Python with Hadoop and Spark

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Big data is the collection of data that is vast. The post Integration of Python with Hadoop and Spark appeared first on Analytics Vidhya.

Big Data 367
article thumbnail

The Data-Centric Revolution: Fighting Class Proliferation

TDAN

One of the ideas we promote is elegance in the core data model in a Data-Centric enterprise. This is harder than it sounds. Look at most application-centric data models: you would think they would be simpler than the enterprise model, after all, they are a small subset of it. Yet we often find individual application […].

article thumbnail

The Evolving Role of Analytics in Strategic Financial Management

Smart Data Collective

Analytics technology is becoming integral to the field of finance. The market for financial analytics services is projected to be worth over $11 billion within the next five years. Analytics is particularly important for developing strategic financial management policies. Strategic Financial Management or strategic finance is a process to help a company’s finances.

article thumbnail

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!

article thumbnail

Validations – Cloudera Support’s Predictive Alerting Program

Cloudera

Cloudera Support’s cluster validations proactively identify known problem signatures contained in customers’ diagnostic data with the goal of increasing cluster health, performance, and overall stability. Cluster validations are included in a customer’s enterprise subscription at no additional cost. All customers with access to the Support case portal will also be able to take advantage of cluster validations.

article thumbnail

How to Learn Mathematics For Machine Learning? What Concepts do You Need to Master in Data Science?

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Are you an aspiring data scientist who is fascinated by how. The post How to Learn Mathematics For Machine Learning? What Concepts do You Need to Master in Data Science? appeared first on Analytics Vidhya.

article thumbnail

Through the Looking Glass: Data Owners and Other Fallacies

TDAN

I vividly remember reading this passage from Bob Seiner’s TDAN.com article “Things I Think I Think about Data Governance”, from August 1, 2015: If we were going to remove two words from the Data Governance vocabulary, I would choose the words “assign” and “owner. When someone is designated as the “owner” of data, that implies […].

article thumbnail

Machine Learning Transforms Life Insurance Beyond the Actuarial Process

Smart Data Collective

Many different industries are becoming more reliant on machine learning. The insurance industry is among those that has found new opportunities to take advantage of machine learning technology. Life insurance companies in particular are discovering the wondrous opportunities that AI provides, since this sector faces some unique challenges relative to other insurance offerings.

Insurance 123
article thumbnail

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.

article thumbnail

Google Data Studio Dashboard, Remixed

Juice Analytics

When Najmah Salam at Notion demonstrated how to build a Google Data Studio dashboard to show email campaign data, I had to create the Juicebox version. This dashboard is a common use case for many marketers who want to see how their email efforts are performing and identify what is working. I appreciate that Najmah used a tool they were comfortable with.

article thumbnail

Acrobot with Deep Q-Learning

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Overview Introduction to a classic Reinforcement Learning problem, Acrobot RL concepts. The post Acrobot with Deep Q-Learning appeared first on Analytics Vidhya.

article thumbnail

Apache Ozone Metadata Explained

Cloudera

Apache Ozone is a distributed object store built on top of Hadoop Distributed Data Store service. It can manage billions of small and large files that are difficult to handle by other distributed file systems. As an important part of achieving better scalability, Ozone separates the metadata management among different services: . Ozone Manager (OM) service manages the metadata of the namespace such as volume, bucket and keys.

article thumbnail

When Big Data Meets Big Law – the Role of Data in Legal Services

Smart Data Collective

Many industries are starting to realize the true benefits they can get from analyzing and visualizing the many amounts of data is designed today. More and more conventional industries are starting to look into this direction: big data. One of these industries is the legal industry , with all legal companies and law firms included. There are some questions that legal advisors have: are there any real benefits of big data for law companies ?

Big Data 106
article thumbnail

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?