CIO Business Intelligence
SEPTEMBER 23, 2021
A recent Ernst and Young report found that 81% of organizations embrace the notion that data should be at the heart of all decision making. Yet, in many organization the decision-making process is stalled because data is still kept in silos.
Analytics Vidhya
SEPTEMBER 24, 2021
This article was published as a part of the Data Science Blogathon Image 1 Introduction In this article, I will use the YouTube Trends database and Python programming language to train a language model that generates text using learning tools, which will be used for the task of making youtube video articles or for your blogs. […]. The post Building a Machine Learning Model for Title Generation appeared first on Analytics Vidhya.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
David Menninger's Analyst Perspectives
SEPTEMBER 23, 2021
Sisu Data is an analytics platform for structured data that uses machine learning and statistical analysis to automatically monitor changes in data sets and surface explanations. It can prioritize facts based on their impact and provide a detailed, interpretable context to refine and support conclusions. The product features fact boards, annotations and the ability to share facts and analysis across teams.
DataKitchen
SEPTEMBER 20, 2021
Data organizations don’t always have the budget or schedule required for DataOps when conceived as a top-to-bottom, enterprise-wide transformational change. An essential part of the DataOps methodology is Agile Development , which breaks development into incremental steps. DataOps can and should be implemented in small steps that complement and build upon existing workflows and data pipelines.
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.
Dataiku
SEPTEMBER 20, 2021
According to the O’Reilly book “Machine Learning Logistics” by Ted Dunning and Ellen Friedman, “90% of the effort in successful machine learning is not about the algorithm or the model or the learning. It’s about logistics.” Many of these logistics fall within the confines of machine learning model management which, without a crystal-clear process in place for, is bound to cause errors (or worse, failures) within a given project.
Analytics Vidhya
SEPTEMBER 22, 2021
This article was published as a part of the Data Science Blogathon In this guide, I will share a detailed deep-dive of what is sampling, what are sampling techniques, and the industry use cases. As you know, fundamental to Data Science is getting good quality sample data. We always derive population parameters from the sample. Our […]. The post A Complete Guide on Sampling Techniques for Data Science appeared first on Analytics Vidhya.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Juice Analytics
SEPTEMBER 22, 2021
My first stop for data visualization inspiration is Jonathan Harris’ We Feel Fine. It is a MasterClass in combining artistic passion, compassion for the subject matter, and technical craftmanship in user experience design. Released in 2005, it continues to stand out as a monumental achievement in the breadth of its ambition and in the tiny details that make it a delight to experience.
Smart Data Collective
SEPTEMBER 22, 2021
We have previously talked about some of the open source tools available to create big data projects. Kubernetes is one of the most important that all big data developers should be aware of. Kubernetes has become the leading container orchestration platform to manage containerized data-rich environments at any scale. It has vastly simplified container deployment and management yet with the added complexity of managing clusters.
Analytics Vidhya
SEPTEMBER 20, 2021
This article was published as a part of the Data Science Blogathon Introduction: Hello Readers, hope all of you are doing great. In this article, we will be covering all the basics needed for a beginner to start with recursion in python. What is Recursion? In many programs, you must have implemented a function that calls/invokes […]. The post Beginner’s Guide to Recursion in Python appeared first on Analytics Vidhya.
Dataiku
SEPTEMBER 22, 2021
As a business, we know we can — and believe we must — leverage our resources to advance sustainable practices and reduce our carbon footprint. Here, we’ll share our sustainability journey as a scaling software company to provide context for readers looking to begin their own in this uncharted territory.
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.
Cloudera
SEPTEMBER 21, 2021
Many customers looking at modernizing their pipeline orchestration have turned to Apache Airflow, a flexible and scalable workflow manager for data engineers. With 100s of open source operators, Airflow makes it easy to deploy pipelines in the cloud and interact with a multitude of services on premise, in the cloud, and across cloud providers for a true hybrid architecture. .
Smart Data Collective
SEPTEMBER 20, 2021
Big data has become an essential asset in the fight against cybercrime. This has caused the demand for cybersecurity professionals with a background in big data to grow. It is important to use the latest data analytics and AI technology to counter these threats if at all possible. Business Owners Lean on Big Data to Deal with Cybercrime Threats. It’s no secret that the COVID pandemic caused a lot of industries to get flipped on their head or at least make some major organizational changes in ord
Analytics Vidhya
SEPTEMBER 23, 2021
This article was published as a part of the Data Science Blogathon Overview of Electric Vehicle Sector The supply of fossil fuels is constantly decreasing. The situation is very alarming. It is time for the world to slowly adapt to electric vehicles. A lot of change needs to happen. Major carmakers like Tesla and Porsche manufacture […]. The post Data Analysis and Price Prediction of Electric Vehicles appeared first on Analytics Vidhya.
Dataiku
SEPTEMBER 23, 2021
We speak a lot about the ways we can use data, transform it, and create powerful models based on advanced machine learning techniques, but we sometimes forget where the data comes from initially. In an organization, data is sourced either internally, like the information flowing out of a CRM database , or externally, when we think about any bytes of data that were provided by a third party.
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.
FineReport
SEPTEMBER 22, 2021
More and more companies are now using business intelligence to improve their management efficiency and operating conditions. As important parts of business intelligence, scorecard and dashboard can both play an obvious role in promoting enterprise development. However, limited by factors such as cost and corporate strategies, sometimes companies need to make a choice between scorecard vs dashboard.
Smart Data Collective
SEPTEMBER 24, 2021
Machine Learning is a branch of Artificial Intelligence that works by giving computers the ability to learn without being explicitly programmed. Machine Learning is already being used in many aspects of our life , from recommending movies or music based on past preferences to giving doctors’ advice on relevant treatments for their patients. As technology advances, machine learning will have more opportunities to help businesses engage with their customers and improve the overall customer experie
Analytics Vidhya
SEPTEMBER 19, 2021
This article was published as a part of the Data Science Blogathon Introduction OpenCV is the most popular library for the task of computer vision, it is a cross-platform open-source library for machine learning, image processing, etc. using which real-time computer vision applications are developed. CVzone is a computer vision package, where it uses OpenCV and […].
bridgei2i
SEPTEMBER 21, 2021
WEBCAST: Transform Enterprise Revenue Growth with AI. Today enterprises are navigating across a spectrum of technologies powered by the Internet, cloud computing, and mobile applications, which have changed how B2B enterprises engage and transact with their customers. In this webinar, Jitendra Jethanandani – Vice President, Enterprise Tech, BRIDGEi2i teams up with Nicholas Stamp Miller – Senior Director, Global Planning Strategy, Insights & Analytics, Automation Anywhere to discu
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.
Ontotext
SEPTEMBER 21, 2021
ONTOTEXT ANSWER: Wanting a complete replacement of the old cluster is a rare situation. Perhaps you are replicating a development or staging environment in production. Or, for some reason, your data got completely corrupted, connectivity was lost, and it looks like resetting the cluster completely would be easier than trying to fix it with a standard restore.
Smart Data Collective
SEPTEMBER 24, 2021
While it might sound ironic that high-tech fields such as data science still require you to submit a resume, even the most cursory look over a list of job openings should prove this to be true. Managers and HR department staffers in even the most technically-oriented companies are actually on the lookout for candidates with an impressive resume. This might encourage some applicants to stretch the truth.
Analytics Vidhya
SEPTEMBER 18, 2021
This article was published as a part of the Data Science Blogathon Image1 Introduction In this article, I would like to introduce a cool python hand-painted styles visualization package; cute charts. Cutecharts are perfect to give a more personal touch to charts. If you want to make charts less intimidating then add a spoonful of sweetness […].
Cloudera
SEPTEMBER 24, 2021
One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. Where does it stand today? What are its current challenges and opportunities? In a sense, there have been three phases of network analytics: the first was an appliance based monitoring phase; the second was an open-source expansion phase; and the third – that we are in right now – is a hybrid-data-cloud and governance phase.
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.
Jen Stirrup
SEPTEMBER 21, 2021
I have always been more comfortable in front of a crowd than in a crowd. I am an INTJ introvert, happy in my own company. That said, I love to teach and I challenge myself to present as often as I can. I have been truly lucky to present all over the world, from small events with just five people right through to a slot on a BBC current affairs program which garnered over 9 million views.
Smart Data Collective
SEPTEMBER 20, 2021
Email marketing ranks among the best ways to stay in touch with an audience and potentially to build one too. However, like so many digital marketing tasks, it’s something that undergoes constant evolution and development. Even with the initial tasks out of the way, such as deciding on a tone and template and testing your email servers , it requires regular work to keep people engaged.
Analytics Vidhya
SEPTEMBER 22, 2021
This article was published as a part of the Data Science Blogathon Introduction Before explaining the correlation and correlation metrics, I would like you to answer a simple question. Let’s suppose you are the owner of a company that makes soft drinks. You have collected past one-year records which are the cost and sales of the […]. The post Different Type of Correlation Metrics Used by Data Scientists appeared first on Analytics Vidhya.
DataRobot
SEPTEMBER 22, 2021
3 Steps to Start Your AI Journey. AI projects have many more unknowns than traditional technology projects. You have to know the right use case to start with and know the value you can expect even before you start. You need to understand what data sources to go after and how to get the data ready. You have to pick the right model to meet expected performance goals.
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.
Cloudera
SEPTEMBER 23, 2021
A slow car has never won a Formula One race. The Olympics doesn’t reward slow times in swimming, track or any other clock-timed sport. Likewise, slow data speeds don’t win over customers or colleagues in the real-time business world. Microsoft’s own research once reported that a person visiting a website on a connected device is likely to wait no more than 10 seconds to see it before moving to a competitor’s site.
Smart Data Collective
SEPTEMBER 22, 2021
Blockchain technology has been instrumental in the development of new forms of commerce. A growing number of new cryptocurrencies have emerged, due to major developments in blockchain. We have talked in the past about using data analytics to choose the best cryptocurrencies to invest in. However, we don’t talk as much about the role of blockchain in the inception of these cryptocurrencies and new digital coins on the scene.
Analytics Vidhya
SEPTEMBER 21, 2021
This article was published as a part of the Data Science Blogathon Introduction You must be aware of the fact that Feature Engineering is the heart of any Machine Learning model. How successful a model is or how accurately it predicts that depends on the application of various feature engineering techniques. In this article, we are […]. The post Complete Guide to Feature Engineering: Zero to Hero appeared first on Analytics Vidhya.
Dataiku
SEPTEMBER 24, 2021
Deploying a new data science model in production is like installing a new light bulb in your house.
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.
Expert insights. Personalized for you.
129 
Let's personalize your content