Sat.Aug 07, 2021 - Fri.Aug 13, 2021

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Top 7 business intelligence trends for 2021

CIO Business Intelligence

Business intelligence is not an oxymoron like jumbo shrimp. It’s not dead. And it’s not being superseded by artificial intelligence.

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Explore the Magic Methods in Python

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Magic Methods Magic methods are special methods in python that have. The post Explore the Magic Methods in Python appeared first on Analytics Vidhya.

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Addressing Data Mesh Technical Challenges with DataOps

DataKitchen

Below is our third post (3 of 5) on combining data mesh with DataOps to foster greater innovation while addressing the challenges of a decentralized architecture. We’ve talked about data mesh in organizational terms (see our first post, “ What is a Data Mesh? ”) and how team structure supports agility. Let’s take a look at some technical aspects of data mesh so we can work our way towards a pharmaceutical industry application example. .

Testing 246
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3 Reasons Why Most Digital Transformation Initiatives Continue To Fail

BA Learnings

Are you thinking about initiating a digital transformation campaign in your company? If so, you may be worried about what could go wrong, and the challenges that possibly lie ahead. You’ve probably heard about the many unsuccessful stories, and you’re right to be concerned. Boston Consulting Group conducted a digital transformation study in 2020 to find out why such projects are missing the mark.

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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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7 Ways to Improve Your Client Reporting

Juice Analytics

Presenting data to customers or clients is an opportunity: it is a chance to shape how they look at your solution, demonstrate the value you deliver, and guide them to better decisions. Unfortunately, a lot of client reporting is treated as a check-the-box activity. We wanted to share some examples of high impact reporting and the features that make them effective: 1.

Reporting 140
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Mathematical Modelling: Modelling the Spread of Diseases with SIRD Model

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction According to Haines and Crounch, mathematical modelling is a process. The post Mathematical Modelling: Modelling the Spread of Diseases with SIRD Model appeared first on Analytics Vidhya.

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DBTA Readers’ Choice Awards, 2021

DataKitchen

The post DBTA Readers’ Choice Awards, 2021 first appeared on DataKitchen.

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The Foundations of a Modern Data-Driven Organisation: Change from Within (part 2 of 2)

Cloudera

In my previous blog post, I shared examples of how data provides the foundation for a modern organization to understand and exceed customers’ expectations. However, the important role data occupies extends beyond customer experience and revenue, as it becomes increasingly central in optimizing internal processes for the long-term growth of an organization.

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Slack Data Engineering: Design and Architecture

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Ref :[link] Introduction: Slack is a communication platform. Users send. The post Slack Data Engineering: Design and Architecture appeared first on Analytics Vidhya.

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Importance of Data-Driven Cybersecurity for Medical Device Companies

Smart Data Collective

Big data has become fundamentally important to the future of cybersecurity. A growing number of companies using data analytics, artificial intelligence and other forms of big data technology to bolster their defenses against cyberattacks. Medical device companies are highly vulnerable to cyberattacks. A growing number of these businesses are investing in big data technology to help keep hackers at bay.

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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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The Value of Explainable AI

Dataiku

Explainable AI has become a powerful mitigating force that enables modelers, regulators, and laypeople to have more trust and confidence in machine learning models. However, it’s not always easy for data scientists to implement models that are explainable. To help them do so in practice — and raise awareness for some of the pitfalls they may encounter — we held a webinar on the topic that focused on the tradeoffs between white-box and black-box models, fairness and explainability concepts both b

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Generating and Viewing Lineage through Apache Ozone

Cloudera

Follow your data in object storage on-premises. As businesses look to scale-out storage, they need a storage layer that is performant, reliable and scalable. With Apache Ozone on the Cloudera Data Platform (CDP) , they can implement a scale-out model and build out their next generation storage architecture without sacrificing security, governance and lineage.

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Multivariate Time Series Anomaly Detection using VAR model

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon What is Anomaly Detection? Anomaly detection detects anomalies in the data. The post Multivariate Time Series Anomaly Detection using VAR model appeared first on Analytics Vidhya.

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5 Analytic Tools Companies Use To Organize and Study their Data

Smart Data Collective

In today’s market, it’s hard to thrive or even just survive without collecting data. Companies have to understand their customers better than they do, study their competitors and understand how cultural and global influences affect their positioning. Data can help them create strategies based on these powerful forces. The good news is that it’s never been easier to collect and organize data.

Analytics 127
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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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Dataiku + Your Favorite BI Tool: How to (and Why) Integrate

Dataiku

Dataiku’s end-to-end platform gives our users the ability to turn raw data into business-impacting decisions using advanced predictive analytics. In addition, Dataiku serves a large variety of user personas, technical skills, industries, and use cases. In this blog post, we're going to show you how you can expand Dataiku’s value within your organizations even further by integrating with your BI tool of choice to uplevel from prescriptive to predictive analyses.

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The Power of Path Analysis

Teradata

For both analysts and data scientists, identifying paths and patterns in data is a valuable way to gain insight into the occurrences leading to or from any event of interest. Read more.

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Email Spam Detection – A Comparative Analysis of 4 Machine Learning Models

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction This article aims to compare four different deep learning and. The post Email Spam Detection – A Comparative Analysis of 4 Machine Learning Models appeared first on Analytics Vidhya.

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Beer Industry Buzz: How Data Helps Buyers Find Their Next Brew

Sisense

Blog. Do we live in a golden age of beer? Indications show that this centuries-old beverage of choice is having a modern renaissance, in terms of both quality and variety. Beer culture has risen in the US and worldwide, with over a half-trillion USD in sales annually ?— and so has worldwide innovation within and outside the industry. Options have exploded in recent years.

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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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Addressing CRM Data Quality with Dataiku

Dataiku

Using machine learning (ML) to predict customer growth, churn, and to find insights in the data is not only a trendy topic, but also something that can bring a lot of value. However, there is an essential prerequisite for any machine learning model, and machine learning models for these use cases are no different: good-quality data (in this case customer relationship management or CRM data).

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How Did AI Go from Beating Grand Chessmasters to Winning Dogfights? General David H. Petraeus Explains

DataRobot

General David H. Patraeus grew up just down the road from the prestigious United States Military Academy and graduated from West Point in 1974. He spent nearly four decades in the U.S. Army and served in Haiti, Kuwait, and Bosnia before rising to the rank of general. Yet, despite all his military accomplishments, he notes that his experience attending Princeton, “a civilian graduate school,” was the most transformative experience of his career.

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Twitter-based Gender Classification -A Machine Learning Project

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction- With the rise of social media in recent years, there. The post Twitter-based Gender Classification -A Machine Learning Project appeared first on Analytics Vidhya.

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GraphDB Users Ask: How Can I Break Up My Data to Control Access To It?

Ontotext

ONTOTEXT ANSWER: As with most serious matters, the question of security is not simple to answer. We even have to briefly touch upon inference to fully understand the answer. Luckily, we have provided a robust mechanism already. All you have to do is configure it. Data in GraphDB is stored in repositories. You can think about them as you would think about separate databases.

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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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The Journey to an Enterprise Data Mesh

Dataiku

Everywhere one looks in the data blogs these days, people are expounding the freedom and scalability of a data mesh, but very little is being said about how one actually builds towards having this mystical mesh. While a microservices pattern aims to expose software as a network of discoverable, secure, and scalable atomic services, a data mesh conceives of data access and data services like inference engines as a similar set of composable data services.

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What’s New in CDP Private Cloud Base 7.1.7?

Cloudera

With the release of CDP Private Cloud (PvC) Base 7.1.7, you can look forward to new features, enhanced security, and better platform performance to help your business drive faster insights and value. We understand that migrating your data platform to the latest version can be an intricate task, and at Cloudera we’ve worked hard to simplify this process for all our customers. .

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Implementing Convolution As An Image Filter Using OpenCV

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction to Convolution Convolution is a trendy term in computer vision. The post Implementing Convolution As An Image Filter Using OpenCV appeared first on Analytics Vidhya.

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5 essential traits of elite business analysts

CIO Business Intelligence

If you’re interested in data and how it relates to business processes, a career as a business analyst (BA) might be for you. Business analysis will enable you to spend your days burrowing into numbers and emerging with nuggets of insight. You will need to really know your data to succeed. But as experienced business analysts will tell you, there’s much more to it than that.

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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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Data Exploration with Pandas Profiler and D-Tale

Domino Data Lab

We all have heard how data is the new oil. I always say that if that is the case, we need to go through some refinement process before that raw oil is converted into useful products. For data, this refinement includes doing some cleaning and manipulations that provide a better understanding of the information that we are dealing with.

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A Beginner’s Guide To Data-Driven Technical SEO

Smart Data Collective

Big data has been a crucial aspect of modern SEO. There are a number of new ranking factors that Google depends on, which means that using data analytics and AI technology can help immensely. Utilizing Big Data in Your Technical SEO Strategy. Technical SEO encompasses a wide range of optimizations that help search engine robots crawl and index your site more effectively.

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Implementing Artificial Neural Network on Unstructured Data

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon In the last blog, we discussed what an Artificial Neural network. The post Implementing Artificial Neural Network on Unstructured Data appeared first on Analytics Vidhya.

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Sea, QA, and Sun: Meet Kateryna and Arash, Software Engineers in Test at Dataiku!

Dataiku

Ever wanted to know more about the people behind your favorite Everyday AI platform? You're in luck — every few weeks, meet some of the humans at Dataiku working to ensure customers and users find success on their path to Everyday AI. This week, we spoke with Arash and Kateryna who are both software engineers in test working on our engineering team.

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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.