Sat.Oct 23, 2021 - Fri.Oct 29, 2021

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7 Must-Have Data Management Capabilities

Data Virtualization

Agile processes and automation are on the rise, causing companies to increasingly seek data virtualization solutions, which offer several important benefits: First, maintenance is cheaper compared to traditional tools, and data virtualization, which does not rely on data replication, eliminates. The post 7 Must-Have Data Management Capabilities appeared first on Data Virtualization blog.

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A Comprehensive Guide on Feature Engineering

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Why should we use Feature Engineering? Feature Engineering is one of the beautiful arts which helps you to represent data in the most insightful possible way. It entails a skilled combination of subject knowledge, intuition, and fundamental mathematical skills. You are effectively transforming […].

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What Is ‘Equity As Code,’ And How Can It Eliminate AI Bias?

DataKitchen

This article was originally published in Forbes. Engineers unleashed artificial intelligence (AI) bias, and it will be engineers who design the solutions that eliminate it. Authors of an article published by McKinsey Global Institute assert that “more human vigilance is needed to critically analyze the unfair biases that can become baked in and scaled by AI systems.

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Dataiku’s Role in the Modern Data Stack

Dataiku

Any small or midsize business (SMB) that’s serious about making the use of data, analytics, and AI everyday behavior for everyone is using a version of the modern data stack architecture. It can even make sense in the enterprise context for teams just getting started on their AI journey.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

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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Using Machine Learning to Improve Cryptocurrency Mining Profitability

Smart Data Collective

Satoshi Nakamoto introduced the world to bitcoin in 2008. Many people speculated that the virtual currency would never gain traction and become extinct. However, it has grown faster than even some of the staunchest supporters originally predicted. Advances in AI and machine learning technology have been important in setting the trend for bitcoin. It’s been over a decade since the cryptocurrencies were introduced to the world and since it has become increasingly popular.

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Complete Guide to build your AI Chatbot with NLP in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview In this Comprehensive Guide, we are going to be covering the following topics and the end goal is to teach you how to make your own personal intelligent AI chatbot: NLP and its uses in speech interpretation. AI and its uses in […]. The post Complete Guide to build your AI Chatbot with NLP in Python appeared first on Analytics Vidhya.

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A Trick, a Tip and a Thing to Try in Your Next Presentation

Depict Data Studio

Depict Data Studio full courses always end with a graduation ceremony where participants share the progress they’ve made in the course. I’m always amazed by the transformations that take place and I can’t help but want to share their wonderful work! In this blog post, you’ll learn from Elizabeth Dove. Elizabeth is a professor at the University of Montana who teaches art and design.

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AI Advances Help Contextual Targeted Advertising Strengthen Branding

Smart Data Collective

Artificial intelligence has become essential to modern marketing. Companies are finding newer, more creatives ways to integrate AI into their marketing strategies. This goes for both brand and performance marketing. AI can be useful in both online and offline marketing, but it tends to have greater efficacy in regards to online marketing strategies.

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A Comprehensive Guide to Time Series Analysis

Analytics Vidhya

This article was published as a part of the Data Science Blogathon This article was published as a part of the Data Science Blogathon Synopsis of Time Series Analysis A Time-Series represents a series of time-based orders. It would be Years, Months, Weeks, Days, Horus, Minutes, and Seconds A time series is an observation […]. The post A Comprehensive Guide to Time Series Analysis appeared first on Analytics Vidhya.

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Maintaining and Improving Predictive Models With Dataiku

Dataiku

Managing one model at a time is pretty easy. But how do you go about managing tens of models, or even more? Vincent Gallmann, Senior Data Scientist at French bank FLOA , answered this question in a 2021 Product Days Session on managing data science projects with Dataiku.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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The Ultimate Map to finding Halloween candy surplus

Cloudera

As Halloween night quickly approaches, there is only one question on every kid’s mind: how can I maximize my candy haul this year with the best possible candy? This kind of question lends itself perfectly to data science approaches that enable quick and intuitive analysis of data across multiple sources. Using Cloudera Machine Learning, the world’s first hybrid data cloud machine learning tooling, let’s take a deep dive into the world of candy analytics to answer the tough question on everyone’s

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How People from Outside of the Tech Industry are Breaking into Data Science

Smart Data Collective

Data science careers used to be extremely selective and only those with certain types of traditional credentials were ever considered. While some might suggest that this discouraged those with hands-on experience from ever breaking into the field, it did at least help some companies glean a bit of information about potential hires. Now, however, an increasingly large number of people breaking into the field of data sciences actually aren’t themselves scientists.

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Face Mesh Application using OpenCV and dlib

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview In this article, we will be using OpenCV and dlib to extract faces from a given image and then we will try to mesh both the faces. In short, we will try to mesh the faces from two different images. We will […]. The post Face Mesh Application using OpenCV and dlib appeared first on Analytics Vidhya.

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Using Dataiku to Understand Weather Across Different Parts of Singapore

Dataiku

What? Yes, you read that right! Singapore is such a tiny island, you may wonder just how big the differences in weather can get. Join us to find out! Given the recent “prolonged heavy rain” in August, with multiple locations in Singapore encountering flash floods, we are also curious to find out how the weather has changed across time for different parts of the city.

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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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Is Balancing Complex Retail and CPG Supply Chains a Total Fantasy?

Teradata

Recent events have illustrated the fragility of ultra-lean supply chains. Chief Supply Chain Officers must figure out how to navigate these crises to manage costs, speed & quality of service.

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What Are the Benefits of Cloud Computing?

Smart Data Collective

Cloud Computing is the next big thing that is becoming popular all over the world, especially for the bigger Enterprises. People are now open the cloud computing options because they want to save the data for a longer term to make sure that they don’t lose data in case of any emergency. Cloud computing has been in the industry for more than two decades now, and it has been continuously providing competitive benefits to everybody in the industry.

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An introduction to Autoencoders for Beginners

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Autoencoders are unstructured learning models that utilize the power of neural networks to perform the task of representation learning. In the context of machine learning, representation learning means embedding the components and features of original data in some low-dimensional structure for better […].

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Setting Direction for AI Governance

Dataiku

We've recently published an ebook on AI Governance. Focused on AI regulations, it provides perspective on new rules that will be rolling out across the world that will impact AI developers, users, and the wider public.

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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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Checklist of Data Dashboard for 2021? Definition, Examples & More

FineReport

Numerous data?Want to flee the great tidal wave of data display? No bombardment anymore? Now here comes data dashboard ?Similar to the instrument panel equipped in a car, it transforms obscure expertise into plain visualizations which are pleasing to both the eye and mind. 1.What is Data Dashboard?–Definition. A data dashboard is a useful tool that could display and analyze users’ complex data by means of data visualization so that the user gains a deep insight into the value of data.

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Top 5 Tools for Building an Interactive Analytics App

Smart Data Collective

An interactive analytics application gives users the ability to run complex queries across complex data landscapes in real-time: thus, the basis of its appeal. The application presents a massive volume of unstructured data through a graphical or programming interface using the analytical abilities of business intelligence technology to provide instant insight.

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End to End Statistics for Data Science

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction to Statistics Statistics is a type of mathematical analysis that employs quantified models and representations to analyse a set of experimental data or real-world studies. The main benefit of statistics is that information is presented in an easy-to-understand format. Data processing is […].

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Reporting Analytics vs. Financial Reporting: Is There a Difference?

Jet Global

The terms “reporting” and “analytics” are often used interchangeably. In fact there are some very important differences between the two, and understanding those distinctions can go a long way toward helping your organization make best use of both financial reporting and analytics. Here’s an overview of the key differences between the two, as well as some tips on how the finance team at your company can use information to help your business achieve strategic and tactical advantage.

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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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GraphDB Users Ask: Can GraphDB Infer Data Based on Values From a Virtualized Repository?

Ontotext

ONTOTEXT ANSWER: The answer to this question loops back to one of our previous posts – GraphDB is a forward chaining database. This means that inferred statements are changed – inserted or removed – during data updates. Virtualized repositories are, as the name suggests, virtual. No data is ingested for these repositories. You can think about them as you would think about a translator.

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Commercial Lines Insurance- the End of the Line for All Data

Cloudera

I’ve had the pleasure to participate in a few Commercial Lines insurance industry events recently and as a prior Commercial Lines insurer myself, I am thrilled with the progress the industry is making using data and analytics. However, I do not think Commercial Lines insurance gets the credit it deserves for the industry-leading role it has played in analytics.

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Introduction to Partitioned hive table and PySpark

Analytics Vidhya

This article was published as a part of the Data Science Blogathon What is the need for Hive? The official description of Hive is- ‘Apache Hive data warehouse software project built on top of Apache Hadoop for providing data query and analysis. Hive gives an SQL-like interface to query data stored in various databases and […]. The post Introduction to Partitioned hive table and PySpark appeared first on Analytics Vidhya.

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What You Should Adjust in Windows to Improve Data Security

Smart Data Collective

Data security has become a vital topic of concern for consumers all over the world. Countless people have had to contend with the consequences of having their personal data exposed. Data breaches are most widely publicized when they occur at major corporations, such as Target. Unfortunately, these high profile cases take attention away from the need to invest in data security solutions at home.

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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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How to Convince Your Manager to buy DataCamp for Business

DataCamp

If you believe learning on DataCamp would be a good thing for your team or workplace, you’ll first need to convince your manager. Here’s how you can bring the world’s number one data science learning platform to your team.

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#ClouderaLife Spotlight: Krishna Birla, Software Engineer

Cloudera

Krishna is a Software Engineer working on our Compute Platform and operates out of Bangalore, India. His primary responsibility is to develop, test and maintain software applications that provide compute services to various Cloudera products. His day to day revolves around cloud computing, resource scheduling and API & systems designing. . Technology and design are his major interest areas.

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Introduction to File Operations in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon A file is an essential data item stored in one’s computer. Each file can be characterized with its filename & file extension. Python programming language is capable of doing wonders and with time we see a lot of its applications in various domains. […]. The post Introduction to File Operations in Python appeared first on Analytics Vidhya.

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insightsoftware to Acquire Magnitude

Jet Global

Deal accelerates insightsoftware’s enterprise position in operational reporting by adding market-leading data analytics and integration products including SAP and Oracle ERP reporting solutions. RALEIGH, N.C. – October 28, 2021 – insightsoftware , a global provider of financial reporting and performance management solutions for the Office of the CFO, today announced it is acquiring Magnitude, a leader in operational reporting and continuous intelligence for data-driven enterprises.

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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.