Sat.Aug 21, 2021 - Fri.Aug 27, 2021

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Gradient Descent: Design Your First Machine Learning Model

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Building a simple Machine Learning model using Pytorch from scratch. Image by my great learning Introduction Gradient descent is an optimization algorithm that is used to train machine learning models and is now used in a neural network. Training data helps the model learn […].

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When the Voice of the Customer Actually Talks

Rocket-Powered Data Science

For many years, organizations (mostly consumer-facing) have placed the “voice of the customer” (VoC) high on their priority list of top sources for customer intelligence. The goals of such activities are to improve customer service, customer interactions, customer engagement, and customer experience (CX) through just-in-time customer assistance, personalization, and loyalty-building activities.

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The Best of Both Worlds: How to Unite AI and RPA

Dataiku

Robotic Process Automation (RPA) and Artificial Intelligence (AI) are two of the growing trends in technology, pushing new boundaries of how companies and businesses can transform their operations in an ever-increasingly digital world. In our previous blog post , we outlined the key differences between RPA and AI, as embracing either technology can help organizations to improve performance and reduce costs in different ways.

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How DataOps is Transforming Commercial Pharma Analytics

DataKitchen

DataOps has become an essential methodology in pharmaceutical enterprise data organizations, especially for commercial operations. Companies that implement it well derive significant competitive advantage from their superior ability to manage and create value from data. They will be able to produce high-quality, on-demand insight that consistently leads to successful business decisions.

Analytics 246
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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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Must know Pandas Functions for Machine Learning Journey

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Do you wish you could perform this function using Pandas. Well, there is a good possibility you can! For data scientists who use Python as their primary programming language, the Pandas package is a must-have data analysis tool. The Pandas package has everything […].

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Sisense Earns Analytics Digital Innovation Award for 2021

David Menninger's Analyst Perspectives

The annual Ventana Research Digital Innovation Awards showcase advances in the productivity and potential of business applications, as well as technology that contributes significantly to the improved processes and performance of an organization. Our goal is to recognize technology and vendors that have introduced noteworthy digital innovations to advance business and IT.

Analytics 246

More Trending

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10 Tips to Visualize Data Like a Pro

Juice Analytics

Have you nailed all the data visualization basics? Stuff like… ?You know pie charts are bad except in certain specific use cases; ?You can spot chartjunk from a mile away; ?You confidently pick the right kind of chart based on what you want to emphasize in the data; ?You use just the right amount of color to bring meaning, but not so much as to distract; ?

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Python Tutorial: Working with CSV file for Data Science

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Source Intro: In this article, I will walk you. The post Python Tutorial: Working with CSV file for Data Science appeared first on Analytics Vidhya.

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What’s the Link Between AI Governance, MLOps, and Responsible AI? Scaling AI

Dataiku

We are taking a break on the AI regulation series to take a step back and clarify the connection between AI Governance, MLOps, and Responsible AI. These three concepts fall off the tip of the tongues of industry practitioners, researchers, and regulators alike, all without having clearly defined connections or boundaries. At Dataiku , we believe that these concepts are central pieces of being able to scale with AI.

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5 Advanced Identity Theft Protection Tips in the Big Data Era

Smart Data Collective

There are a lot of great things about living in an era governed by big data. Big data creates a lot of new opportunities in business and our personal lives. However, there are also downsides to the sudden influx of data in the 21st Century. One major concern is that big data has made identity theft risks more significant. Addressing the Risk of Identity Theft in a World Increasingly Dependent on Big Data.

Big Data 141
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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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Sharpening Cloudera’s Cloud Focus in Asia Pacific and Japan

Cloudera

Cloudera recently appointed a Cloud Director for Asia Pacific (APAC), Stevie Walsh, to help drive our hybrid and multi-cloud offerings in the region, supporting our customers in accelerating their digital transformation journey. We’ve asked her to share her cloud vision for Cloudera in APAC and the exciting plans that she has in her new position. What drew you to work in the cloud space?

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Beginners guide to k-Means Clustering

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Clustering The very first clustering algorithm that most people get exposed to is k-Means clustering. This is probably because it is very simple to understand, however, it has several disadvantages which I will mention later. Clustering is generally viewed as an unsupervised […].

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Dataiku for Business Analysts: A Rundown of Attributes & Advantages

Dataiku

Not everyone has the same level of technical expertise, and it can be easy to get intimidated by the processes and seemingly never-ending nuances of data science. Getting bogged down on necessary but tedious tasks — or complex ones in which you don’t have expertise — can consume valuable time.

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4 Guidelines for Protecting Your Data with Cloud Backup Software

Smart Data Collective

Cloud backup, also known as cloud computing, refers to the temporary storing of data on a remote cloud-hosted server. In a way, it behaves like cloud storage, enabling you to store and access information from multiple geographically dispersed and interconnected cloud environments. However, unlike a traditional data backup service, the best cloud backup does not store data on individual files but a virtual file system (VFS).

Software 140
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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-driven competitive advantage in the financial services industry

Cloudera

There is an urgent need for banks to be nimble and adaptable in the thick of a multitude of industry challenges, ranging from the maze of regulatory compliance, sophisticated criminal activities, rising customer expectations and competition from traditional banks and new digital entrants. As banks find their bearings in this landscape, what appear to be insurmountable odds are in fact opportunities for growth and competitive differentiation. .

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Granger Causality in Time Series – Explained using Chicken and Egg problem

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction The purpose of this article is to understand what is granger. The post Granger Causality in Time Series – Explained using Chicken and Egg problem appeared first on Analytics Vidhya.

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Bias in AI

DataRobot

In a recent blog, we talked about how, at DataRobot , we organize trust in an AI system into three main categories: trust in the performance in your AI/machine learning model , trust in the operations of your AI system, and trust in the ethics of your modelling workflow, both to design the AI system and to integrate it with your business process. In each of these categories is a set of dimensions of trust.

Metrics 98
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5 Things You Didn’t Know About FDA Data-Driven Software Validation

Smart Data Collective

Data analytics has been very important for the FDA. They have used big data in many of their regulatory approaches. One example is with software validation. Big data has been instrumental in the software development process. A number of software developers are using data analytics and machine learning technology to improve the quality of their products and expedite the development of their applications.

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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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#ClouderaLife Spotlight: Barnabas Maidics, Software Engineer

Cloudera

Meet Barnabas Maidics. . Barnabas is a 3 year Clouderan working as a Software Engineer in Hungary. . Having started his journey at Cloudera as an intern and then making his way to the Data In Motion team, Barnabas feels his first experience in the real world of work has allowed him to grow, not only professionally but on a personal level as well. He’s always known this was the career path for him.

Software 100
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Caching in Python: the LRU algorithm

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction To use LRU caching in Python, you just need to add two lines – import and declaration of the @lru_cache decorator. We show with examples how and why to use it. Caching is one approach that, if used correctly, significantly speeds up work […]. The post Caching in Python: the LRU algorithm appeared first on Analytics Vidhya.

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3 Tips for Visualizing Social Change Data

Depict Data Studio

I recently had the chance to be on the Community Possibilities® podcast with Ann Price. Ann owns Community Evaluation Solutions and helps community leaders plan and evaluate strategies to create lasting change. She started the podcast as a way to connect with community leaders to talk about root causes, dig deeper into understanding social and health inequities and to connect by talking with each other instead of at each other.

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Using Analytics To Decide Which Cryptocurrency To Invest In

Smart Data Collective

Analytics technology has helped improve financial management considerably. It is important to know how to use data analytics to improve your budget, cut costs and make sound investment decisions. One way to use analytics is to invest in cryptocurrencies more wisely. You can find some great ways to identify trends in the cryptocurrency industry. However, you can also identify the best digital currencies to invest in.

Analytics 135
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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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Use Embedded Analytics to Improve Pharmaceutical Care and Outcomes

Sisense

Blog. A 2021 McKinsey study showed that overall use of telehealth and health-and-pharma apps during the COVID-19 pandemic rose as much as 38 times over previous figures, yet patients remain unenthusiastic about pharma apps. Pharma companies can change the direction of these trends. Taking a cue from personalized medicine and making judicious use of embedded pharma analytics can evolve apps to help practitioners deliver better care and patients achieve better outcomes.

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Churn Prediction- Commercial use of Data Science

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Churn prediction is probably one of the most important applications of data science in the commercial sector. The thing which makes it popular is that its effects are more tangible to comprehend and it plays a major factor in the overall profits earned […]. The post Churn Prediction- Commercial use of Data Science appeared first on Analytics Vidhya.

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Back to School! Time to Ditch the Promotions Calendar?

Teradata

As Back to School promotions hit the shelves, Christmas & New Year offers are already locked in. Are these long-lead cycles still effective in today’s dynamic Retail & CPG environment?

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3 Ways Big Data Can Help With Native Ad Campaigns

Smart Data Collective

Big data has been incredibly valuable in the marketing industry. Countless advertisers are finding new ways to capitalize off of changes in big data and AI. The concept of native advertising has been around for a decade now. The ability to seamlessly integrate commercial content into the surrounding website by mimicking its format and function has allowed companies to reach more consumers than ever before, since the line between advertising and activity is becoming increasingly blurred.

Big Data 135
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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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Optimize the University Experience with AI

DataRobot

Organizations in different industries use artificial intelligence (AI) , machine learning , and data science to uncover deep insights about their processes and procedures that help them make predictions to allocate resources and increase productivity. These same benefits could also help universities better serve their students and protect their bottom line.

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Create Stock Exchange Dashboard using Dash in Python!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Dash is an open-source web framework for creating analytical dashboards and data visualizations. It helps data analysts to deploy dashboards and serve these dashboards to the main web application. Dash constitutes of three technologies: 1. Plotly.js- It is used for creating beautiful charts […].

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Why Ecosystems are Essential for Growing Partnerships: an Interview with Tech Data’s Vice President of Data, AI and IoT

Cloudera

In this edition of Partner Perspective, Cloudera’s own Rachel Tuller sits down with Craig Smith, Vice President of Data, AI and IoT at Tech Data. They discuss the importance of business partnerships, the pandemic’s impact on the tech industry, and Craig’s predictions about the industry going forward. Tech Data is one of the largest technology distributors globally.

IoT 97
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How Big Data Is Revolutionizing the Affiliate Marketing Industry

Smart Data Collective

Attention all marketing professionals! The era of big data has arrived. Whether you’re a company looking to market its products and services to new audiences, an affiliate marketer hoping to maximize their income streams or another individual involved in the industry, there are umpteen ways in which big data is influencing the realm of marketing and sales.

Big Data 135
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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?