Thu.Oct 21, 2021

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IT Teams: Overcome Challenges & Industrialize AI

Dataiku

When it comes to AI maturity and the role of data in organizations’ digital transformations, many — if not most — companies struggle to go beyond the media hype. Very few projects ever get to the critical stage of entering production, and even fewer reach scale (or if they do, it takes too long).

IT 59
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10 Ideas that every Professional should avoid for Data Visualization

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Image credits: Taras Bakusevych Data is the new oil we have heard it so many times. But can we visualize that data in a proper format? With the amount of data at our disposal today, the need to extract insights from it is […]. The post 10 Ideas that every Professional should avoid for Data Visualization appeared first on Analytics Vidhya.

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How Can Data-Centric UX Designers Make Better Games?

Smart Data Collective

Big data has touched almost every facet of our lives. It should be no surprise that the video gaming industry has been heavily influenced by developments in data technology. There are a number of potential opportunities to utilize big data in video games. One of the biggest benefits of integrating data analytics, AI and other technologies into video games is that it can help improve the user experience.

Big Data 128
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Forest Fire prediction using Machine Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon What does this article entail? Forest, bush, or vegetarian fire, can be described as any uncontrolled and non-prescribed combustion or burning of plants in a natural setting such as a forest, grassland, etc. In this article we are not determining if a forest […]. The post Forest Fire prediction using Machine Learning appeared first on Analytics Vidhya.

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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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How These Female Sales Leaders Are Blazing Their Own Trail: Meet Doreen, Natália, and Rachel

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 as they systemize the use of data and AI in their organizations. This week, we spoke with three sales leaders: Doreen, RVP Inside Sales EMEA; Natália, RVP UK&I; and Rachel, VP Sales and General Manager Central Europe.

Sales 119
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Perceptron: Building Block of Artificial Neural Network

Analytics Vidhya

This article was published as a part of the Data Science Blogathon If you are a machine learning and AI enthusiast, you must have come across the word perceptron. Perceptron is taught in the first chapter of many deep learning courses. So what exactly it is? What is the inspiration behind it? How exactly it […]. The post Perceptron: Building Block of Artificial Neural Network appeared first on Analytics Vidhya.

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A Comprehensive Guide to Apache Spark RDD and PySpark

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview Hadoop is widely used in the industry to examine large data volumes. The reason for this is that the Hadoop framework is based on a basic programming model (MapReduce), which allows for a scalable, flexible, fault-tolerant, and cost-effective computing solution. Table of […].

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Power BI Live Stream this Saturday

Paul Turley

Only the most dedicated data professionals are willing to invest their personal time and spend any part of a weekend improving their skills.

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An Introduction to Deepfakes with Only One Source Video

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction to Deepfakes Deepfakes are AI-generated synthetic videos of any person or celebrity that impersonates the actual person and makes them act or say anything they originally never did. The process of creation of deepfakes is technically complex and generally requires a vast […].

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Weaving Architectural Patterns: I – Data Fabric

Data Virtualization

Since its first incarnation almost 35 years ago in my IBM Systems Journal article, the data warehouse (DW) has remained a key architectural pattern for decision-making support. By decision-making support, I mean everything from simple reporting and querying to AI-based. The post Weaving Architectural Patterns: I – Data Fabric appeared first on Data Virtualization blog.

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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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Monthly Reports Templates & Examples To Monitor Business Performance

datapine

Table of Contents. 1) What Is A Monthly Report? 2) What Is The Purpose Of Monthly Reporting? 3) Monthly Report Templates & Examples. 4) What Does A Monthly Report Contain? From startups to big enterprises, businesses are collecting more and more data every day and, it is no secret, that whoever is not taking advantage of it will simply stay behind.

Reporting 211
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Struggling with Machine Learning? You’re Not Alone

DataRobot

Today’s organizations are up against a great machine learning paradox. Most are investing more than ever in artificial intelligence and machine learning (AI/ML), but far too few have implemented ML models or realized the business impact that AI/ML promises. With businesses pouring resources into AI and machine learning, why are results still so elusive?

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Data Swamp, Data Lake, Data Lakehouse: What to Know

Alation

Data Swamp vs Data Lake. When you imagine a lake, it’s likely an idyllic image of a tree-ringed body of reflective water amid singing birds and dabbling ducks. But a swamp, on the other hand, is dark and dank, full of scary creatures, heavy wet air, and either a poisonous frog or an angry alligator behind every dead tree snag. I’ll take the lake, thank you very much.

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Watch the Sixth Video in Our Snowflake Tutorial Series

CDW Research Hub

Snowflake is the data cloud that boasts instant elasticity, secure data sharing, and per-second pricing across multiple clouds. Its ability to natively load and use SQL to query semi-structured and structured data within a single system simplifies your data engineering. Sirius’ Snowflake Immersion Days video series are virtual learning tutorials designed to provide technical, hands-on training for data engineers and data analysts.

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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.