KDnuggets

AUGUST 4, 2022

Check out this guide to implementing different types of encoding for categorical data, including a cheat sheet on when to use what type.

Machine Learning 160

Machine Learning 160

Analytics Vidhya

AUGUST 4, 2022

This article was published as a part of the Data Science Blogathon. Introduction Requests in Python is a module that can be used to send all kinds of HTTP requests. It is straightforward to use and is a human-friendly HTTP Library. Using the requests library; we do not need to manually add the query string […]. The post Introduction to Requests Library in Python appeared first on Analytics Vidhya.

Data Science 400

Data Science Publishing Analytics IT 400

David Menninger's Analyst Perspectives

AUGUST 2, 2022

I often use the term “analytics” to refer to a broad set of capabilities, deliberately broader than business intelligence. In this Perspective, I’d like to share what decision-makers should consider as they evaluate the range of analytics requirements for their organization.

Analytics 157

Analytics Business Intelligence Machine Learning 157

CIO Business Intelligence

AUGUST 1, 2022

Concerns about a looming recession have not derailed the booming IT job market. In the first half of this year, 115,000 new IT jobs were added, according to consulting firm Janco Associates. Even with inflation, high energy costs, and the invasion of Ukraine, IT hiring continued at a record-setting pace, but keeping tech talent still poses challenges.

IT 138

IT Consulting Management Cost-Benefit 138

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

AUGUST 4, 2022

Artificial Intelligence (AI) is the process of programming a computer that can reason and learn like a human being and make decisions for itself.

159

159

Analytics Vidhya

AUGUST 4, 2022

This article was published as a part of the Data Science Blogathon. Introduction Kats model-which is also developed by Facebook Research Team-supports the functionality of multi-variate time-series forecasting in addition to univariate time-series forecasting. Often we need to forecast a time series where we have input variables in addition to ‘time’; this is where the […].

Forecasting 397

Forecasting Modeling Data Science Publishing 397

CIO Business Intelligence

AUGUST 4, 2022

Great teams incorporate a variety of skill sets. For example, a football team consisting of 11 quarterbacks would get crushed in a game against talented linemen, running backs and receivers. It’s no different when building a team for an enterprise AI project; you can’t just throw a bunch of data scientists into a room and expect them to come up with a revenue-generating or efficiency-improving project without support from other members of the enterprise.

Deep Learning 126

Deep Learning Data Science Enterprise Modeling 126

KDnuggets

AUGUST 3, 2022

Want to get started with SQL? Check out the latest cheatsheet from KDnuggets to get up to speed on the basics of one of the most popular, useful, and in-demand languages in the world of data science.

Data Science 138

Data Science 138

Analytics Vidhya

AUGUST 5, 2022

This article was published as a part of the Data Science Blogathon. Introduction The way big business tycoons run has changed a lot since the past. The concept of “Cloud Computing” has played a major role in this. This implementation of cloud computing technology has led to the need for Cloud Computing Experts. The software team […].

Data Science 396

Data Science Publishing Software Technology 396

Dataiku

AUGUST 4, 2022

AI predictions compress time: Reduce credit card refunds from 60 to 30 days or time to detect chip manufacturing problems from 36 hours to zero. Increasingly, companies are going beyond zero and using AI to detect things before they happen: identifying the purchase of a large screen TV with a stolen credit card hours before it happens, replacing an airplane valve days before it fails, and flagging semiconductor manufacturing defects an hour before they’re produced.

Manufacturing 111

Manufacturing IT 111

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

CIO Business Intelligence

AUGUST 1, 2022

With more than 30,000 employees spread across more than 60 affiliate locations and 14 manufacturing sites around the world, pharmaceutical company Eli Lilly operates at a truly global scale. Operating at that scale comes with issues, not the least of which is sharing accurate and timely information internally and externally. “From internal training materials to formal, technical communications to regulatory agencies, Lilly is translating information often,” says Timothy F.

Deep Learning 126

Deep Learning Manufacturing Finance Software 126

KDnuggets

AUGUST 3, 2022

A year ago, Objectiv started a community of 50 companies to develop a Hugging Face like open-source project for customer data modeling. They key objective: enable building data models on one team/company’s dataset, and then run them seamlessly on another.

Modeling 122

Modeling 122

Analytics Vidhya

AUGUST 5, 2022

This article was published as a part of the Data Science Blogathon. Introduction This problem that we will discuss in this blog comes from the cutting-edge intersection of AI with the drug discovery process, where DataRobot and my team play a very significant role. This blog is focused on an engagement my team, and I […]. The post Bridging the Gap: Drug Discovery and AI appeared first on Analytics Vidhya.

Data Science 394

Data Science Publishing Analytics 394

Smart Data Collective

AUGUST 4, 2022

A growing number of businesses are discovering the importance of big data. Thirty-two percent of businesses have a formal data strategy and this number is rising year after year. Unfortunately, they often have to deal with a variety of challenges when they manage their data. One of the biggest issues is with managing the tables in their SQL servers.

Data-driven 106

Data-driven Sales Big Data Dashboards 106

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

CIO Business Intelligence

AUGUST 5, 2022

A vast majority of enterprises globally are overspending in the cloud, according to a new HashiCorp-Forrester report. In a survey that saw participation of over 1,000 IT decision makers across North America, Europe, Middle East and Asia-Pacific, 94% of respondents said their organizations had notable, avoidable cloud spend due to a combination of factors including underused, overprovisioned resources, and lack of skills to utilize cloud infrastructure.

Reporting 124

Reporting Enterprise Cost-Benefit Digital Transformation 124

KDnuggets

AUGUST 1, 2022

Interest in, and demand for, MLOps is growing exponentially. What, exactly, is it? Why is it important? Where should you turn next to learn more? Check out this crash course to find the answers to these questions and more.

IT 116

IT 116

Analytics Vidhya

JULY 31, 2022

This article was published as a part of the Data Science Blogathon. Introduction to EDA The main objective of this article is to cover the steps involved in Data pre-processing, Feature Engineering, and different stages of Exploratory Data Analysis, which is an essential step in any research analysis. Data pre-processing, Feature Engineering, and EDA are fundamental early […].

Data Science 392

Data Science Publishing Analytics Visualization 392

Smart Data Collective

AUGUST 4, 2022

Data loss is a growing problem, as companies become more dependent on data than ever. The cost of data loss can be massive for many companies. A data center outage can cost $7,900 in losses every minute. However, the cost of losing data on a regular computer can be significant as well. Many people store valuable company data on their laptops. Some people also store cryptocurrency wallets on their personal computers.

Risk 106

Risk Software Management IT 106

Advertisement

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.

IT

CIO Business Intelligence

AUGUST 2, 2022

A few years back, I wrote an article for CIO on how to handle the blow-up meeting and create breakthroughs. Now almost three years later, I share one of my blow-up meeting moments in my new book, Digital Trailblazer: Essential Lessons to Jumpstart Transformation and Accelerate Your Technology Leadership. In this short excerpt from the book, published with permission from Wiley, I show how these blow-up moments often happen when you least expect them: Charles does his demo at the meeting, and I r

B2B 119

B2B Digital Transformation Technology Publishing 119

KDnuggets

AUGUST 5, 2022

In Part Six, I’ll show how limitations in synapses are even more of a problem. Precise synapse weights and the ability to set them quickly to a specific value are crucial to ML and biological neurons offer neither.

Machine Learning 110

Machine Learning 110

Analytics Vidhya

AUGUST 1, 2022

Dear Readers, Have you ever wondered about the uncanny ability of google to complete your sentences even before you complete them? Or the fact that Google or any other search engine can comprehend a sentence’s meaning and provide precise responses to the featured excerpts. It appears that Google uses mystical means to “think” and exercise […].

Analytics 391

Analytics IT 391

DataRobot Blog

AUGUST 3, 2022

How can you save time in understanding the impact of language when working with text in ML models ? With tens of thousands of Text AI projects, DataRobot has helped organizations unlock insights from text and generate predictions with text models—from assisting with customer support ticket triage to predicting real estate sale prices. Continuing to build on previously released Text AI capabilities, DataRobot AI Cloud introduces new features to help with language detection, blueprint optimization

Machine Learning 105

Machine Learning Optimization Deep Learning Modeling 105

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.

Customer Analytics

CIO Business Intelligence

AUGUST 5, 2022

Due to Nigeria’s fintech boom borne out of its open banking framework, the Central Bank of Nigeria (CBN) has published a much-awaited regulation draft to govern open banking procedures. And at its core is the need to secure customer data through a robust set of requirements. The regulations streamline how entities who handle customer banking information will secure their systems and share details within protected application program interfaces.

Publishing 114

Publishing Technology Risk Software 114

KDnuggets

AUGUST 2, 2022

The interview process for the job can sometimes be a bit daunting. However, with the right knowledge and preparation, you can make sure you ace the interview and land your dream job. Read this summary of DataCamp’s full article on how to prepare for a data analyst interview, presenting some of the key points. .

110

110

Analytics Vidhya

AUGUST 4, 2022

This article was published as a part of the Data Science Blogathon. Introduction to Intelligent Search Algorithms Search problems are widespread in real-world applications. Search algorithms are beneficial in simplifying or solving the problems such as searching a database or the internet. One of the most popular search problems is to find the shortest path […].

Data Science 389

Data Science Publishing Analytics 389

Smart Data Collective

AUGUST 1, 2022

Artificial intelligence has led to some pivotal changes in the financial sector. Fintech companies are projected to spend over $12 billion on AI this year. A growing number of traders are taking advantage of AI technology to make more informed trading decisions. AI technology has actually changed stock market investing as we know it. There are a number of ways that traders can benefit from AI.

Cost-Benefit 104

Cost-Benefit Machine Learning Marketing Strategy 104

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

CIO Business Intelligence

AUGUST 2, 2022

Fueled by enterprise demand for data analytics , machine learning , data center consolidation and cloud-native app developmen t, spending on cloud infrastructure services jumped 33% year on year to $62.3 billion in the second quarter, according to Canalys. The Singapore-based market research firm said its latest cloud spending research, released Tuesday, shows that demand for cloud services remains strong despite a global economy suffering from inflation, rising interest rates and recession.

Sales 114

Sales Data Processing Software Marketing 114

KDnuggets

AUGUST 5, 2022

In this article, we will go over the top five ways to collect or receive data, whether to help optimize an AI-driven machine or simply forecast future consumer demand.

Forecasting 108

Forecasting Data-driven Optimization Data Science 108

Analytics Vidhya

JULY 31, 2022

This article was published as a part of the Data Science Blogathon. Introduction In certain circumstances, using pre-built frameworks from machine learning and deep learning libraries may be beneficial. However, you should attempt to put things into practice on your own to have good command and comprehension. This article demonstrates how to create a CNN […].

Deep Learning 390

Deep Learning Machine Learning Data Science Publishing 390

Juice Analytics

AUGUST 3, 2022

What do you get when you put a Data Scientist and a Data Storyteller in a room full of executives for two days? Sorry, no punchline…this is serious. The answer is The Data Story Creative Process (DSCP) workshop — a hands-on, case study-based learning event that teaches a framework for using data to drive informed action. We played with data, explored insights, structured stories, and discussed the barriers to reaching our audience.

Visualization 102

Visualization Data-driven Dashboards Modeling 102

Advertisement

“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