Cloudera

DECEMBER 14, 2021

Artificial Intelligence (AI) has revolutionized how various industries operate in recent years. But with growing demands, there’s a more nuanced need for enterprise-scale machine learning solutions and better data management systems. The 2021 Data Impact Awards aim to honor organizations who have shown exemplary work in this area. . The category “Data for Enterprise AI” awards companies from around the world that have built and deployed use cases for enterprise-scale machine learning and have in

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Analytics Vidhya

DECEMBER 14, 2021

This article was published as a part of the Data Science Blogathon Introduction In this article, I will explain to you about using Yolo v5 Algorithm for Detecting & Classifying different types of 60+ Road Traffic Signs. We will start from very basic and covers each step like Preparation of Dataset, Training, and Testing. In this article, […].

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KDnuggets

DECEMBER 14, 2021

We have solicited insights from experts at industry-leading companies, asking: "What were the main AI, Data Science, Machine Learning Developments in 2021 and what key trends do you expect in 2022?" Read their opinions here.

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Analytics Vidhya

DECEMBER 14, 2021

This article was published as a part of the Data Science Blogathon Introduction In today’s digital world, social media platforms like Facebook, Whatsapp, Twitter have become a part of our everyday schedule. Many NLP techniques can be used on the text data available from Twitter. Sentiment analysis refers to the idea of predicting the sentiment ( […].

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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.

Experimentation

KDnuggets

DECEMBER 14, 2021

Thinking about taking your data science expertise to a new level of creating a start-up company? These tips -- learned from experience -- can help you forge an early path toward success.

Data Science 147

Data Science 147

Jen Stirrup

DECEMBER 14, 2021

TL; DR Yes. Let me tell you about the second-worst conference experience I’ve ever had as a speaker. The worst experience happened a few years ago and it is at the foot of the post so you will have to read down – note, it does have a trigger warning. Speakers from diverse backgrounds want equality not preferential treatment. Let me explain a scenario and let me make it clear that I’m not asking for preferential treatment.

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Smart Data Collective

DECEMBER 14, 2021

Collecting data is a necessary step that companies must take to reach their desired standards or keep from declining in quality. Not only that, but the product or service primarily influences the public’s perception of a brand that they offer, so gathering the data that will inform them of customers’ level of satisfaction is extremely important. But what ways should be used to do so?

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Data Collection Statistics Data-driven Marketing Analytics 119

KDnuggets

DECEMBER 14, 2021

Flexibility versus maintainability—every decision you make in software engineering involves balancing tradeoffs. Software Mistakes and Tradeoffs is available in early access from its publisher Manning. Pre-order now and start reading immediately as part of the Manning Early Access Program (MEAP).

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Software Publishing IT 112

Smart Data Collective

DECEMBER 14, 2021

OKRs are a simple yet powerful management framework for managers to align with employee goals with the organization while fostering transparency and streamlining goal attainment. Employee monitoring is very important. Measuring results and performance is critical to business success. However, it is often challenging to ensure that your metrics are aligned with the C-suite objectives and that all your employees are engaged and connected in meeting these targets.

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Measurement Metrics Data-driven Software 108

KDnuggets

DECEMBER 14, 2021

From heuristic to algorithmic feature selection techniques for data science projects.

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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.

Management

TDAN

DECEMBER 14, 2021

The Data Ethics Conundrum The recent DAMA EMEA conference was a valiant effort to connect the DAMA membership in the EMEA region through an innovative virtual conference format. During the conference, various polls were run. One of these polls asked, “Are Data Ethics Principles Universal?” Before I go any further, I’ll just say that the […].

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Data Quality Data Governance Management 90

Cloudera

DECEMBER 14, 2021

Now is the time to sit up and listen. Not to me, but to your teams. Much of 2020 and 2021 were spent coping with new demands of remote work while negotiating the multitude of disruptions resulting from the pandemic. And this year, even as we inch our way back to business as we knew it, redefining norms for a hybrid future requires us to answer questions that often cannot be resolved on our own.

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Digital Transformation Uncertainty Reporting Management 77

TDAN

DECEMBER 14, 2021

A null represents missing or unknown information at the column level. A null is not the same as 0 (zero) or blank. Null means “no entry”, means “has been made for the column” and it implies that the value is either unknown or not applicable. DB2 supports null, and as such, you can use null […].

Data Architecture 83

Data Architecture IT Management 83

KDnuggets

DECEMBER 14, 2021

Also: Data Scientist Career Path from Novice to First Job; Design Patterns for Machine Learning Pipelines.

Machine Learning 92

Machine Learning Data Science 92

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.

Testing

TDAN

DECEMBER 14, 2021

Today’s enterprise data landscape is very complex. Data is coming to the enterprise from everywhere and anywhere at high speed from myriad of data sources. Some data is structured, some data is unstructured, some data is binary, and some data is semi-structured. Some data is coming at constant velocity while other data is coming real […].

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Enterprise Data Architecture Data Strategy Big Data 64

Decision Management Solutions

DECEMBER 14, 2021

We have two upcoming training classes in the new year. These are all delivered live and online so you can attend from anywhere. The first training is a new class held January 25 – 27, 2022: “ Operationalizing Machine Learning with DMN.” In this class, you will learn how to deploy, integrate, and act upon the predictive models of machine learning.

Machine Learning 40

Machine Learning Predictive Modeling Modeling Management 40

TDAN

DECEMBER 14, 2021

Algorithms guide our daily lives. Today’s seemingly simple functions, such as a GPS app’s predicted arrival time or the next music in the streaming row, can be filtered by algorithms of AI and ML. However, their capacity to keep these promises is dependent on data annotation: the act of precisely categorizing information to educate artificial […].

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Data Strategy Big Data Strategy Data Science 52

The Unofficial Google Data Science Blog

DECEMBER 14, 2021

by AMIR NAJMI & MUKUND SUNDARARAJAN Data science is about decision making under uncertainty. Some of that uncertainty is the result of statistical inference, i.e., using a finite sample of observations for estimation. But there are other kinds of uncertainty, at least as important, that are not statistical in nature. This blog post introduces the notions of representational uncertainty and interventional uncertainty to paint a fuller picture of what the practicing data scientist is up agains

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Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

Risk

TDAN

DECEMBER 14, 2021

This column has looked at the variety of ways in which data is harmfully gender segregated and neglects to accurately represent people of all genders, leading to ineffective cityscapes, harmful medications, and ill-fitting uniforms for non-male people. In this issue, I would like to bring to light the myriad of other identities that are often […].

Data Collection 52

Data Collection Big Data Management 52

Alation

DECEMBER 14, 2021

What are the differences between cloud-native and cloud-enabled solutions? To remain competitive in an omnichannel world, IT leaders must carefully design cloud environments to reflect business needs and strategies. In this way, knowing the differences between cloud-native and cloud-enabled solutions is critical to long-term success, efficiency, and profitability.

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Cost-Benefit Data Processing Optimization Consulting 52

TDAN

DECEMBER 14, 2021

Data science is no longer a cryptic term that has nothing to do with your industry. It is now widely applied across fields ranging from medicine and security to sales and e-commerce. To stay on top of your own e-commerce game and improve your business’s profitability, you can leverage data science breakthroughs in numerous ways. […].

Data Science 52

Data Science Sales IT Data Strategy 52

Depict Data Studio

DECEMBER 14, 2021

How do we make our graphs more accessible? There’s a misconception that accessibility takes all day, that’s it’s costly, or that it’s complicated. Those are all false. Accessibility is woven into all my trainings, but since this is a topic I get asked about a lot, I decided to make a new talk that’s focused just on accessibility for dataviz. In Spring 2021 I gave a talk at the Good Tech Fest conference about dataviz accessibility quick wins.

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Visualization Data Collection IT 110

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“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.

Strategy

Alation

DECEMBER 14, 2021

Alation recently attended AWS re:invent 2021 … in person! After many months of remote meetings, it was, finally, time to get together again. Among the 20,000 attendees there was a great deal of relief and excitement to see people in ‘3D’. AWS Keynote: “Still Early Days” for Cloud. Adam Selipsky, CEO of AWS, brought this energy in his opening keynote, welcoming a packed room and looking back on the progress of AWS.

Data Lake 52

Data Lake Data Warehouse Machine Learning Cost-Benefit 52