December, 2021

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8 analytics startups to watch over the next year

DataKitchen

The post 8 analytics startups to watch over the next year first appeared on DataKitchen.

Analytics 312
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A Comprehensive Guide on Deep learning for Computer vision

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Source: Vision Image Overview Deep learning is the most powerful method used to work on vision-related tasks. Convolutional Neural Networks or convents are a type of deep learning model which we use to approach computer vision-related applications. In this guide, we will explore how […].

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6 Predictive Models Every Beginner Data Scientist Should Master

KDnuggets

Data Science models come with different flavors and techniques — luckily, most advanced models are based on a couple of fundamentals. Which models should you learn when you want to begin a career as Data Scientist? This post brings you 6 models that are widely used in the industry, either in standalone form or as a building block for other advanced techniques.

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Isn’t it time community speakers were all treated reasonably and equally by organizers?

Jen Stirrup

TL; DR Yes. Let me tell you about the second-worst conference experience I’ve ever had as a speaker. The worst experience happened a few years ago and it is at the foot of the post so you will have to read down – note, it does have a trigger warning. Speakers from diverse backgrounds want equality not preferential treatment. Let me explain a scenario and let me make it clear that I’m not asking for preferential treatment.

IT 145
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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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Anima Anandkumar: What’s in the Future for AI?

DataRobot

Anima Anandkumar joined Ben Taylor, Chief AI Evangelist at DataRobot, on the More Intelligent Tomorrow podcast to discuss the future direction of AI technology and its possible enhancement by the addition of more human capabilities. Bren Professor of Technology at California Institute of Technology (CalTech), Anima joined Nvidia three years ago as the Director of Machine Learning Research.

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Exploratory vs. Explanatory: The Difference Between Data Analysis and Data Presentation

Juice Analytics

?? Exploratory data analysis is.the "herding cats" ?? stage of working with data. It is a chaotic, often solitary, exercise requiring persistence in search of insights.finding what matters in the data by connecting data sources, determining relationships within the data, and understanding what measures and dimensions are most important.the starting point for working with data.

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Creating ChatBot Using Natural Language Processing in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Are you fed up with waiting in long lines to speak with a customer support representative? Can you recall the last time you interacted with customer service? There’s a chance you were contacted by a bot rather than human customer support professional. We […]. The post Creating ChatBot Using Natural Language Processing in Python appeared first on Analytics Vidhya.

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Building a solid data team

KDnuggets

How do you put together a solid data science team when it comes to developing data-driven products? A variety of roles are available to consider, so which ones do you need and which are most crucial?

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Hybrid Tables, Incremental Refresh and Table Partitioning in Power BI

Paul Turley

The December 2021 Power BI Desktop update introduced a long-awaited upgrade to the partitioning and Incremental Refresh feature set. The update introduces Hybrid Tables, a new Premium feature that combines the advantages of in-memory Import Mode storage with real-time DirectQuery data access; this is a big step forward for large model management and real-time analytic reporting.

Reporting 137
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How To Use Data For Smarter Business Decisions

Smart Data Collective

Big data technology has become an invaluable asset to so many organizations around the world. There are a lot of benefits of utilizing data technology, such as improving financial reporting, forecasting marketing trends and efficient human resource allocation. It is crucial to business growth , as companies transition to more digital business models.

Big Data 136
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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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Cloudera Response to CVE-2021-44228

Cloudera

Summary. On December 10th 2021, the Apache Software Foundation released version 2.15.0 of the Log4j Java logging library, fixing CVE-2021-44228 , a remote code execution vulnerability affecting Log4j 2.0-2.14. An attacker can use this vulnerability to instruct affected systems to download and execute a malicious payload through submitting a custom-crafted request.

Software 129
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Data-Driven in 2022: Data Management Opportunities in the Year Ahead

DataKitchen

The post Data-Driven in 2022: Data Management Opportunities in the Year Ahead first appeared on DataKitchen.

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How do Neural Networks really work?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon The math behind Neural Networks Neural networks form the core of deep learning, a subset of machine learning that I introduced in my previous article. People exposed to artificial intelligence generally have a good high-level idea of how a neural network works?—?data is passed […].

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10 Key AI & Data Analytics Trends for 2022 and Beyond

KDnuggets

What AI and data analytics trends are taking the industry by storm this year? This comprehensive review highlights upcoming directions in AI to carefully watch and consider implementing in your personal work or organization.

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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

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New Format for The Bar Chart Reference Page

The Data Visualisation Catalogue

To demonstrate the potential new content structure being implemented on an existing visualisation reference page, here’s an example provided for Bar Charts : Bar Chart. Other names: Bar Graph, Bar Plot. Functions: Comparisons, Rankings Encodings: Length. Description. A graph that displays a series of bars plotted on a common axis, whose lengths are proportional to the values they each represent.

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Data-Driven Marketing Strategies to Supercharge eCommerce Businesses

Smart Data Collective

Big data has become a highly invaluable aspect of modern business. More companies are using sophisticated data analytics and AI tools to overhaul their business models. Some industries have become more dependent on big data than others. The e-commerce sector has been one of the most affected by major advances in data technology. Smart e-commerce entrepreneurs are utilizing big data to address many of the problems they are facing.

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Cloudera Data Engineering 2021 Year End Review

Cloudera

Since the release of Cloudera Data Engineering (CDE) more than a year ago , our number one goal was operationalizing Spark pipelines at scale with first class tooling designed to streamline automation and observability. In working with thousands of customers deploying Spark applications, we saw significant challenges with managing Spark as well as automating, delivering, and optimizing secure data pipelines.

Snapshot 120
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What is embedded analytics, and how does it benefit BI?

DataKitchen

The post What is embedded analytics, and how does it benefit BI? first appeared on DataKitchen.

IT 244
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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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Artificial Intelligence (AI): The Ultimate Solution in Agriculture

Analytics Vidhya

This article was published as a part of the Data Science Blogathon In this world, Agriculture and farming are some of the oldest professions. As the population grows high, the need to grow and yield more, better crops and the best quality also increases. New technologies like Artificial Intelligence (AI) and Blockchain come in handy. To […]. The post Artificial Intelligence (AI): The Ultimate Solution in Agriculture appeared first on Analytics Vidhya.

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5 Practical Data Science Projects That Will Help You Solve Real Business Problems for 2022

KDnuggets

This curated list of data science projects offers real-life problems that will help you master skills to demonstration that you are technically sound and know how to conduct data science projects that add business value.

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A Ride on the Rocket Ship: How We Scaled in 2021 While Strengthening Company Culture

Dataiku

Besides preparing our anticipated AI trends for the upcoming year, annually in Q4 we also take time to reflect on the year we had internally at Dataiku — what we accomplished and what we aim to tackle in the new year. At just about this time last year — December 17 to be exact — we were celebrating our 500 employee milestone and looking back on how the company adjusted to going fully remote amidst the onset of the global health crisis.

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Python for Business: Optimize Pre-Processing Data for Decision-Making

Smart Data Collective

The rise of machine learning and the use of Artificial Intelligence gradually increases the requirement of data processing. That’s because the machine learning projects go through and process a lot of data, and that data should come in the specified format to make it easier for the AI to catch and process. Likewise, Python is a popular name in the data preprocessing world because of its ability to process the functionalities in different ways.

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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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On the first day of Christmas my Chief Data Officer (CDO) said to me…

Andrew White

Hope you enjoy this festive blog. On the first day of Christmas my CDO said to me, a budget in and on time. On the second day of Christmas my CDO said to me, two data clouds, and a budget in and on time. On the third day of Christmas my CDO said to me, three analytics, two data clouds, and a budget in and on time. On the fourth day of Christmas my CDO said to me, four data hubs, three analytics, two data clouds, and a budget in and on time.

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Reducing The Cost Of Failure With DataOps

DataKitchen

The post Reducing The Cost Of Failure With DataOps first appeared on DataKitchen.

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Building an End- to-End Data Science App with Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. [link] Overview In this article, we will detail the need for data scientists to quickly develop a Data Science App, with the objective of presenting to their users and customers, the results of Machine Learning experiments. We have detailed a roadmap for the […]. The post Building an End- to-End Data Science App with Python appeared first on Analytics Vidhya.

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Alternative Feature Selection Methods in Machine Learning

KDnuggets

Feature selection methodologies go beyond filter, wrapper and embedded methods. In this article, I describe 3 alternative algorithms to select predictive features based on a feature importance score.

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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.

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AI and ML: No Longer the Stuff of Science Fiction

Cloudera

Artificial Intelligence (AI) has revolutionized how various industries operate in recent years. But with growing demands, there’s a more nuanced need for enterprise-scale machine learning solutions and better data management systems. The 2021 Data Impact Awards aim to honor organizations who have shown exemplary work in this area. . The category “Data for Enterprise AI” awards companies from around the world that have built and deployed use cases for enterprise-scale machine learning and have in

Data Lake 113
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Data-Driven SEO Strategies Are Essential for Your Small Business

Smart Data Collective

Big data has become invaluable to many businesses around the country. A growing number of business owners are investing in data-driven marketing strategies. One of the biggest ways that big data can help your business reach more customers is through SEO. Earlier this summer, we talked about the approaches to data-driven SEO. However, there are a lot of benefits from the business side that you have to understand as well.

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3 key factors for a sales compensation plan that sparks motivation

Jedox

A sales compensation plan that motivates your sales team to reach their maximum potential is something sales executive dreams of. Ultimately, the most success is achieved through effective motivation. This blog post outlines three key factors that transform your sales compensation plan into a powerful source of motivation. A lack of oversight into performance, delayed compensation payments, unsatisfactory sales incentives and commission payments.

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2022 Big Data Predictions from the Cloud

DataKitchen

The post 2022 Big Data Predictions from the Cloud first appeared on DataKitchen.

Big Data 246
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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.