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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Beyond the Basics of A/B Tests: Innovative Experimentation Tactics You Need to Know as a Data or Product Professional

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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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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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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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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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 134
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Apache Ozone Powers Data Science in CDP Private Cloud

Cloudera

Apache Ozone is a scalable distributed object store that can efficiently manage billions of small and large files. Ozone natively provides Amazon S3 and Hadoop Filesystem compatible endpoints in addition to its own native object store API endpoint and is designed to work seamlessly with enterprise scale data warehousing, machine learning and streaming workloads.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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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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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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4 Steps to Delete Yourself from the Internet for Data Privacy

Smart Data Collective

Data privacy is a growing concern for people all over the world. Many people have become cynical about data privacy. Sixty-two percent of people told Pew Research that they don’t think it is possible to go through life without companies collecting their personal data and 63% said the same about the government collecting their data. However, most people still express their desire to prevent them from doing so.

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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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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

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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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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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Artificial Intelligence for eCommerce: A Closer Look

Smart Data Collective

Artificial intelligence is one of the fastest-growing technologies. It grew 270% in just four years since more companies started noticing its benefits and adopted this technology. eCommerce businesses are no exception. Over 50 percent of them use AI for various purposes, like creating personalized services and automation. This article will share the basic concept of AI, including its definition, types, and current trends.

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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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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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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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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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Can Predictive Analytics Identify Future Crypto Profitability?

Smart Data Collective

Cryptocurrencies are undoubtedly the rave of the moment. There are stories all over the internet about how crypto made someone a millionaire overnight. However, the crypto market experienced a significant downtrend recently with prices plummeting as low as 30% from peak prices in a matter of days. This has raised questions about the future of cryptocurrency investments.

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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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Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity

Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO

The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.

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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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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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Is Data Analytics Ushering in the Modern Age of Weather Forecasting?

Smart Data Collective

Weather forecasting technology has grown from strength to strength in the last few decades. Gone are the days when you had to wait for the local news channel to share the weather forecasts for the next day. Nor do you have to reach out to the newspaper to find out what the weather is going to be like throughout the day. Instead, you’ve got access to a broad spectrum of valuable weather data right at your fingertips.

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Reuse at Its Best: The Benefits of Feature Stores With Dataiku

Dataiku

At Dataiku, we’re committed to helping organizations of all sizes and maturity levels deliver on the full potential of Everyday AI. From the beginning, this has always meant having a clear focus on production — and not just design — in order to enable our customers to easily deploy models in the real world. Doing this comes with a lot of challenges and Dataiku's end-to-end AI platform already has many out-of-the-box features to implement best MLOps practices.

IT 59
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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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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 102
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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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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 127
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Maximizing the 5G Analytics Dividend

Teradata

As 5G puts data analytics at the heart of the next wave of sustainable growth, telcos must ensure their existing investments in data infrastructure can be leveraged to enable that growth.

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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.