DataKitchen

OCTOBER 18, 2021

The post 5 hot new IT jobs — and why they just might stick first appeared on DataKitchen.

IT 356

IT 356

Analytics Vidhya

OCTOBER 19, 2021

This article was published as a part of the Data Science Blogathon Overview Though it is believed that tech enthusiasts are passing through the golden age of Artificial Intelligence, engineers and scientists still need to explore miles while progressing on their journey to Deep Learning projects. Either it is calibrating time-series models, processing Bayesian deep […].

Deep Learning 357

Deep Learning Data Science Publishing Modeling 357

O'Reilly on Data

OCTOBER 19, 2021

Much has been written about struggles of deploying machine learning projects to production. As with many burgeoning fields and disciplines, we don’t yet have a shared canonical infrastructure stack or best practices for developing and deploying data-intensive applications. This is both frustrating for companies that would prefer making ML an ordinary, fuss-free value-generating function like software engineering, as well as exciting for vendors who see the opportunity to create buzz around a new

IT 362

IT Testing Experimentation Software 362

David Menninger's Analyst Perspectives

OCTOBER 19, 2021

Access to external data can provide a competitive advantage. Our research shows that more than three-quarters (77%) of participants consider external data to be an important part of their machine learning (ML) efforts. The most important external data source identified is social media, followed by demographic data from data brokers. Organizations also identified government data, market data, environmental data and location data as important external data sources.

Data Lake 284

Data Lake Analytics Machine Learning Marketing 284

Advertiser: ZoomInfo

AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.

Sales

DataKitchen

OCTOBER 22, 2021

The post Tech workers warned they were going to quit. Now, the problem is spiralling out of control first appeared on DataKitchen.

363

363

Analytics Vidhya

OCTOBER 19, 2021

This article was published as a part of the Data Science Blogathon Snowflake is a cloud data platform that comes with a lot of unique features when compared to traditional on-premise RDBMS systems. In this tutorial, you will see the top 5 features that developers should know before implementing a solution on the Snowflake data […]. The post 5 Features Of Snowflake That Data Engineers Must Know appeared first on Analytics Vidhya.

Data Science 400

Data Science Publishing Analytics 400

DataRobot

OCTOBER 18, 2021

I have a confession to make—I’m a back-seat driver! When sitting in a taxi, I can’t help but grumble when the ride isn’t smooth, or the driver chooses the slowest lane of traffic. I have to fight the urge to take control. When it comes to shopping, I passively accept what is offered for sale. But my wife, who grew up in Asia where haggling is part of the culture, is different.

Forecasting 145

Forecasting Digital Transformation Cost-Benefit Data-driven 145

DataKitchen

OCTOBER 19, 2021

The post Data Quality: Volume, interdependencies can create big problems first appeared on DataKitchen.

Data Quality 246

Data Quality 246

Analytics Vidhya

OCTOBER 20, 2021

This article was published as a part of the Data Science Blogathon Overview What is a Framework FrontEnd vs BackEnd What is Flask Framework Installation of Flask Creating our first Flask app Routing Static Route vs Dynamic Route HTML Injections HTML Escaping Hypertext Transfer Protocol GET and POST Methods What is a Framework? The framework […].

Data Science 400

Data Science Publishing Analytics Modeling 400

Smart Data Collective

OCTOBER 22, 2021

1.145 trillion megabytes! Unbelievably, this is the amount of data that was created every day in 2021. That’s a lot of data and a lot of work for experts working in the field of data science services. Amidst growing competition, businesses are under increasing pressure to come up with unique and more cost-effective ways to manufacture and market their products.

Data Science 143

Data Science Marketing Manufacturing Management 143

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

Testing

Cloudera

OCTOBER 19, 2021

Airflow has been adopted by many Cloudera Data Platform (CDP) customers in the public cloud as the next generation orchestration service to setup and operationalize complex data pipelines. Today, customers have deployed 100s of Airflow DAGs in production performing various data transformation and preparation tasks, with differing levels of complexity.

Data Transformation 120

Data Transformation Interactive Machine Learning Testing 120

DataKitchen

OCTOBER 19, 2021

The post Data Engineers are Burned Out and Calling for DataOps first appeared on DataKitchen.

246

246

Analytics Vidhya

OCTOBER 20, 2021

This article was published as a part of the Data Science Blogathon It was just past the midway mark of 2019 and the Internet casually decided to trick us as it normally does. An optical illusion went viral on Twitter which depicted a gray image that looked colored! Confused? Well, let’s dive deep in then! […]. The post Learn how to make your own Optical Illusion in Python appeared first on Analytics Vidhya.

Data Science 388

Data Science Publishing Analytics IT 388

Smart Data Collective

OCTOBER 21, 2021

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 142

Big Data Advertising Testing Cost-Benefit 142

Advertisement

The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.

Strategy

Dataiku

OCTOBER 21, 2021

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

Sales Software Management 119

Cloudera

OCTOBER 18, 2021

It’s that time of year again… Award season! We are thrilled to announce the finalists of the 2021 Data Impact Awards. This year’s entrants have excelled at demonstrating how innovative data solutions can help solve real-time challenges and positively impact people around the world. . The entries are some of the most remarkable we’ve seen, giving our judges the tough task of selecting an award worthy shortlist.

Enterprise 111

Enterprise Finance Consulting Management 111

Analytics Vidhya

OCTOBER 20, 2021

This article was published as a part of the Data Science Blogathon There are many ways a machine can be taught to generate an output on unseen data. The technological advancement in different sectors has left everyone shocked. we are now at a point where deep learning and neural networks are so powerful that can […]. The post An End-to-End Introduction to Generative Adversarial Networks(GANs) appeared first on Analytics Vidhya.

Deep Learning 379

Deep Learning Data Science Publishing Technology 379

Smart Data Collective

OCTOBER 21, 2021

Data security has become a greater concern than ever in recent years. There were only 662 data breaches in 2010. That number rose to over 1,000 by last year. The rising number of data breaches has created a strong demand for data security professionals. The unfortunate truth is that we need more big data professionals than ever. The shortage of data-savvy security experts is actually holding the United States and other countries back.

Testing 141

Testing Big Data Risk Management Risk 141

Advertisement

GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.

Testing

Depict Data Studio

OCTOBER 19, 2021

Depict Data Studio full courses always end with a graduation ceremony where students share the progress they’ve made in the course. I’m always amazed by the transformations that take place and I can’t help but want to share their wonderful work! Today you’ll learn from Kelsey Watterson, an evaluator at the Centerstone Research Institute. Thanks for sharing Kelsey!

Visualization 111

Visualization Statistics Dashboards Reporting 111

Dataiku

OCTOBER 22, 2021

Data science in the energy industry has been around for quite a long time, with innovative techniques such as neural networks dating back to the 1980s.

Data Science 105

Data Science 105

Analytics Vidhya

OCTOBER 21, 2021

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.

Visualization 378

Visualization Data Science Publishing Analytics 378

Smart Data Collective

OCTOBER 19, 2021

Analytics technology has become more important than ever in shaping the future of business. Countless businesses are looking for new ways to apply analytics technology to improve every aspect of their business model. One of the most important applications of analytics is with website management and development. You can use analytics to optimize your website to become more aesthetically pleasing to viewers.

Analytics 134

Analytics Optimization Marketing Analytics Technologies 134

Advertiser: ZoomInfo

ZoomInfo customers aren’t just selling — they’re winning. Revenue teams using our Go-To-Market Intelligence platform grew pipeline by 32%, increased deal sizes by 40%, and booked 55% more meetings. Download this report to see what 11,000+ customers say about our Go-To-Market Intelligence platform and how it impacts their bottom line. The data speaks for itself!

Reporting

bridgei2i

OCTOBER 20, 2021

A Practitioner’s View on AI-Led Transformation in Manufacturing. Aditya Karnani, Lead, Factory Performance & Reliability, Colgate Palmolive | Ronobijay Bhaumik, Director, Digital Consulting, Intelligent Operations, BRIDGEi2i. Subscribe Now. Highlights. In this podcast, the guest Adita Karnani shares some thought-provoking insights on AI-led automation in manufacturing plants and how digitalization coupled with the pandemic has led to innovations and processes within many industrial plants. [

Manufacturing 98

Manufacturing Enterprise IoT Technology 98

Dataiku

OCTOBER 18, 2021

On a recent webinar with Jim Kobelius of TDWI (that you can watch below), we talked about mature MLOps. You can watch our presentations, but I thought it would be helpful to summarize some of the concepts based on over ten years working with machine learning and, over the last three and a half years, specifically focusing on MLOps.

Machine Learning 105

Machine Learning IT 105

Analytics Vidhya

OCTOBER 17, 2021

This article was published as a part of the Data Science Blogathon Introduction to Matplotlib If you are interested in data analytics or data visualization you are at the right place to get started. So let’s start with the simple introduction about, Data visualization which is the process of translating the numbers, text, or large data […].

Visualization 361

Visualization Data Science Publishing Data Analytics 361

Smart Data Collective

OCTOBER 20, 2021

The data integration landscape is under a constant metamorphosis. In the current disruptive times, businesses depend heavily on information in real-time and data analysis techniques to make better business decisions, raising the bar for data integration. The upsurge of data (with the introduction of non-traditional data sources like streaming data, machine logs, etc.) along with traditional ones challenge old models of data integration.

Data Integration 133

Data Integration Machine Learning Big Data Statistics 133

Advertisement

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

Optimization

DataRobot

OCTOBER 22, 2021

In part one of our “Five Ways AI Can Help States Solve Their Hardest Problems” blog series, we reviewed the ramifications of crisis response management—or lack thereof—and how AI can help. As part of the COVID-19 crisis response, the federal government has provided aid to states and localities by designating federal recovery funds. Consequently, the influx of recovery funds is now resulting in increased fraud, waste, and abuse across government—including social services—preventing dollars from g

Risk 98

Risk Risk Management Data-driven Management 98

Dataiku

OCTOBER 20, 2021

Imagine that you’re just about to buy a new shirt at your local big box retailer. “Do you have an account with us?” asks the cashier. You think you may have signed up before, but can’t really remember.

105

105

Analytics Vidhya

OCTOBER 16, 2021

This article was published as a part of the Data Science Blogathon Introduction Unstructured text data can be a problem while solving NLP problems. There is a need to pre-process any unstructured text data in order for us to build an effective NLP model. Hence pre-processing textual data is an important step while building any NLP […]. The post Cleaning and Pre-processing textual data with NeatText library appeared first on Analytics Vidhya.

Data Science 357

Data Science Publishing Modeling Analytics 357

Smart Data Collective

OCTOBER 20, 2021

The global cryptocurrency market is growing rapidly. It is projected to be worth nearly $5 billion by 2030. A lot of factors are playing a role in this growth, including new advances in blockchain and the introduction of new blockchain ETFs. Blockchain ETFs are among the most popular new ways for everyday investors to diversify their portfolios with blockchain and cryptocurrency investments.

Risk 131

Risk Technology Strategy Marketing 131

Advertisement

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

Business Intelligence