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

article thumbnail

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 And it’s not being superseded by artificial intelligence.

article thumbnail

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.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Accelerating Drug Discovery and Development with DataOps

DataKitchen

A drug company tests 50,000 molecules and spends a billion dollars or more to find a single safe and effective medicine that addresses a substantial market. Figure 1 shows the 15-year cycle from screening to government agency approval and phase IV trials. Drug companies desperately look for ways to compress this lengthy time frame and to demonstrate the competitive advantage of their intellectual property.

Testing 246
article thumbnail

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.

article thumbnail

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.

article thumbnail

Increase Analytics Influence: Leverage Predictive Metrics!

Occam's Razor

Almost all metrics you currently use have one common thread: They are almost all backward-looking. If you want to deepen the influence of data in your organization – and your personal influence – 30% of your analytics efforts should be centered around the use of forward-looking metrics. Predictive metrics! But first, let's take a small step back.

Metrics 142
article thumbnail

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.

Modeling 398

More Trending

article thumbnail

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
article thumbnail

Businesses Across Various Industry Verticals Use Data Analytics

Smart Data Collective

Big data and analytics technology is rapidly changing the future of modern business. Over 67% of companies spend over $10,000 a year on analytics solutions. Investments in analytics are being made across all major industries. ‘Although companies in healthcare, IT and finance are some of the biggest investors in analytics technology, plenty of other sectors are investing in analytics as well.

article thumbnail

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.

Modeling 397
article thumbnail

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. In a previous blog , we have covered how Pandas Profiling can supercharge the data exploration required to bring our data into a predictive modelling phase.

article thumbnail

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.

article thumbnail

Five Reasons Why Platforms Beat Point Solutions in Every Business Case

Cloudera

Once upon an IT time, everything was a “point product,” a specific application designed to do a single job inside a desktop PC, server, storage array, network, or mobile device. Point solutions are still used every day in many enterprise systems, but as IT continues to evolve, the platform approach beats point solutions in almost every use case.

article thumbnail

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.

article thumbnail

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.

article thumbnail

DBTA Readers’ Choice Awards, 2021

DataKitchen

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

130
130
article thumbnail

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

article thumbnail

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

article thumbnail

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 126
article thumbnail

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.

article thumbnail

8 Modeling Tools to Build Complex Algorithms

Domino Data Lab

For a model-driven enterprise, having access to the appropriate tools can mean the difference between operating at a loss with a string of late projects lingering ahead of you or exceeding productivity and profitability forecasts. This is no exaggeration by any means. With the right tools, your data science teams can focus on what they do best – testing, developing and deploying new models while driving forward-thinking innovation.

Modeling 111
article thumbnail

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.

article thumbnail

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.

article thumbnail

Demand for Data-Savvy Cybersecurity Professionals Grows In 2021

Smart Data Collective

Big data is becoming increasingly important in the cybersecurity profession. A number of IT security professionals are using big data and AI technology to create more robust cybersecurity solutions. As cybersecurity threats become more serious, the demand for data-savvy cybersecurity experts will continue to rise. This figure has already surged in 2021.

Big Data 125
article thumbnail

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.

article thumbnail

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.

article thumbnail

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.

article thumbnail

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).

article thumbnail

How Knowledge Graphs Can Help Large Healthcare Institutions Track the Impact of Faculty Research

Ontotext

One of our clients is a major children’s hospital in the Midwestern United States. Apart from being a large medical service provider, the institution is also a major research center with several hundred faculty members engaged in a variety of scientific activities beyond their medical duties. Between them, the faculty members have published more than ten thousand peer-reviewed scientific articles, many in top ranking Pediatrics journals.

Metrics 98
article thumbnail

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.

article thumbnail

Why Modernizing the First Mile of the Data Pipeline Can Accelerate all Analytics

Cloudera

Every enterprise is trying to collect and analyze data to get better insights into their business. Whether it is consuming log files, sensor metrics, and other unstructured data, most enterprises manage and deliver data to the data lake and leverage various applications like ETL tools, search engines, and databases for analysis. This whole architecture made a lot of sense when there was a consistent and predictable flow of data to process.

Analytics 108
article thumbnail

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.

article thumbnail

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.

article thumbnail

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.

98
article thumbnail

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.

article thumbnail

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.

Testing 104
article thumbnail

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.