Mon.Nov 22, 2021

article thumbnail

Unpacking the Convergence of Automation, BI, and AI

Dataiku

To help us understand the convergence of analytics and business intelligence (BI) — which, let’s be clear, has been happening for quite some time — we can look at it through the lens of product development, notably based on the Kano Model. Essentially, the model states that each product has different levels of functionalities — basic features and requirements a product needs to be competitive, “excitement” features that are common, satisfy various pain points, and create a positive customer resp

article thumbnail

Performing Time Series Analysis using ARIMA Model in R

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Welcome to the World of Time Series Analysis! From this article, you will learn how to perform time series analysis using the ARIMA model (with code!). The dataset used in this article can be downloaded here. The usage time series data consist of the […]. The post Performing Time Series Analysis using ARIMA Model in R appeared first on Analytics Vidhya.

Modeling 400
Insiders

Sign Up for our Newsletter

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

article thumbnail

On-Device Deep Learning: PyTorch Mobile and TensorFlow Lite

KDnuggets

PyTorch and TensorFlow are the two leading AI/ML Frameworks. In this article, we take a look at their on-device counterparts PyTorch Mobile and TensorFlow Lite and examine them more deeply from the perspective of someone who wishes to develop and deploy models for use on mobile platforms.

article thumbnail

KNIME Tutorial – A Friendly Introduction to Components using the KNIME Analytics Platform

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. In the last article A Friendly Introduction to KNIME Analytics Platform I provided a brief insight into the open-source software KNIME Analytics Platform and what it is capable of. With the help of a customer segmentation example, I showed the general functions of […]. The post KNIME Tutorial – A Friendly Introduction to Components using the KNIME Analytics Platform appeared first on Analytics Vidhya.

Analytics 395
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

Dask DataFrame is not Pandas

KDnuggets

This article is the second article of an ongoing series on using Dask in practice. Each article in this series will be simple enough for beginners, but provide useful tips for real work. The next article in the series is about parallelizing for loops, and other embarrassingly parallel operations with dask.delayed.

143
143
article thumbnail

A Guide to Building an End-to-End Multiclass Text Classification Model

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Knock! Knock! Who’s there? It’s Natural Language Processing! Natural language processing (NLP) is everywhere, one of the most used concepts in the business world. Whether to predict the sentiment in a sentence or to differentiate the emails, flag a toxic comment, all these […].

Modeling 325

More Trending

article thumbnail

How to Make the Most of Big Data in the Fitness Industry

Smart Data Collective

Big data has been a powerful force of change in the fitness industry. More fitness companies are using data analytics, AI and other technology to better understand their customers, improve their operating margins and make other changes to adapt to new trends. If you are running a fitness business, then you can’t afford to overlook the importance of big data.

Big Data 124
article thumbnail

5 Tips to Get Your First Data Scientist Job

KDnuggets

Read some of the key things the author has learned during the infamous job seeking stage.

article thumbnail

Ten Things I’ve Learned in 20 Years in Data and Analytics

Teradata

Teradata's Martin Willcox recently passed 17 years at Teradata and a quarter of a century in the industry. Here are the ten things he's learned about data analytics in those 20-odd years.

Analytics 111
article thumbnail

Six Factors to Consider When Choosing a Corporate Performance Management Software Vendor

Jet Global

It’s always a good idea to invest in improving your organization’s capacity to consume, digest, and analyze information quickly and efficiently. For many organizations, though, the end of the year is an especially good time to roll out new financial intelligence initiatives. As budgeting season sets in and the finance team ramps up for the end-of-year closing process, many finance leaders find that it’s a natural time to start looking at corporate performance management (CPM), sometimes referred

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

Benefits of Using Data Analytics in Equipment Financing

Smart Data Collective

Data analytics technology has touched on virtually every element of our lives. More companies are using big data to address some of their biggest concerns. Securing financing is a huge example. Data analytics technology is helping more companies get the financing that they need for a variety of purposes. One of the most important benefits of big data involves getting financing for new equipment.

Finance 98
article thumbnail

European cloud BI implementations are driven by flexibility and scalability

BI-Survey

E uropean cloud BI implementations are much more driven by flexibility and scalability than North American ones, which focus more on cost and deployment speed. In terms of actual benefits, European companies find greater benefits in outsourcing hardware and lower administration costs, while North American firms benefit most from scalability and speed of deployment.

article thumbnail

Dask DataFrame is not Pandas

KDnuggets

This article is the second article of an ongoing series on using Dask in practice. Each article in this series will be simple enough for beginners, but provide useful tips for real work. The next article in the series is about parallelizing for loops, and other embarrassingly parallel operations with dask.delayed.

83
article thumbnail

Ten Things I’ve Learned in 20 Years in Data and Analytics

Teradata

Teradata's Martin Willcox recently passed 17 years at Teradata and a quarter of a century in the industry. Here are the ten things he's learned about data analytics in those 20-odd years.

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

5 Tips to Get Your First Data Scientist Job

KDnuggets

Read some of the key things the author has learned during the infamous job seeking stage.

article thumbnail

How to Build and Govern Trusted AI Systems: Process

DataRobot

This is a three part blog series in partnership with Amazon Web Services describing the essential components to build, govern, and trust AI systems: People, Process and Technology. All are required for trusted AI , technology systems that align to our individual, corporate, and societal ideals. This second post is focused on building the organization-wide process for AI you can trust.

Risk 52
article thumbnail

On-Device Deep Learning: PyTorch Mobile and TensorFlow Lite

KDnuggets

PyTorch and TensorFlow are the two leading AI/ML Frameworks. In this article, we take a look at their on-device counterparts PyTorch Mobile and TensorFlow Lite and examine them more deeply from the perspective of someone who wishes to develop and deploy models for use on mobile platforms.

article thumbnail

Addressing the Three Scalability Challenges in Modern Data Platforms

Cloudera

Introduction. In legacy analytical systems such as enterprise data warehouses, the scalability challenges of a system were primarily associated with computational scalability, i.e., the ability of a data platform to handle larger volumes of data in an agile and cost-efficient way. Open source frameworks such as Apache Impala, Apache Hive and Apache Spark offer a highly scalable programming model that is capable of processing massive volumes of structured and unstructured data by means of paralle

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.