Create Efficient Combined Data Sources with Tableau
KDnuggets
MAY 11, 2022
Save time and effort with this guide, which will show you how to do data join operations in Tableau.
KDnuggets
MAY 11, 2022
Save time and effort with this guide, which will show you how to do data join operations in Tableau.
Analytics Vidhya
MAY 11, 2022
This article was published as a part of the Data Science Blogathon. Introduction In this article, we will be working to develop an application from computer vision techniques that will reverse the video, and also, we will be able to save that reversed video in our local system. In this application, we will also have […]. The post Reversing the Video Using Computer Vision appeared first on Analytics Vidhya.
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CIO Business Intelligence
MAY 10, 2022
CIOs know they must be business leaders, but the business knowledge they must bring to the proverbial table is something of a moving target. There are, of course, the management fundamentals and the longstanding executive skills that remain constant must-haves. But there are, too, a list of topics that bubble up and dominate based on current trends and present-day realities.
Smart Data Collective
MAY 13, 2022
Did you know that global companies are projected to spend nearly $1.6 trillion on AI by 2030 ? The demand for AI services is growing due to the many powerful benefits it offers. Various applications, from web-based smart assistants to self-driving cars and house-cleaning robots, run with the help of artificial intelligence (AI). With the growth of business data, it is no longer surprising that AI has penetrated data analytics and business insight tools.
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.
KDnuggets
MAY 13, 2022
This article is the first in a series of articles looking at the different aspects of k-means clustering, beginning with a discussion on centroid initialization.
Analytics Vidhya
MAY 10, 2022
This article was published as a part of the Data Science Blogathon. Introduction Machine Learning and Data Science are one of the fastest-growing technological fields. This field results in amazing changes in the medical field, production, robotics etc. The main reason for the advancement in this field is the increase in the computational power and […].
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Smart Data Collective
MAY 10, 2022
Data analytics technology is rapidly becoming a more integral part of many company cultures. According to the 2021 State of Data Maturity Report, 32% of companies have formal data strategies. Although they are still the minority, this figure has risen from almost nothing under a decade ago. Data analytics serves many different purposes. We have talked at length about the benefits of using big data to improve financial management and implement more effective marketing strategies.
KDnuggets
MAY 10, 2022
This is a list of FREE data science resources and notes that are available online, some of which are provided by universities.
Analytics Vidhya
MAY 12, 2022
This article was published as a part of the Data Science Blogathon. Introduction Apache Flume, a part of the Hadoop ecosystem, was developed by Cloudera. Initially, it was designed to handle log data solely, but later, it was developed to process event data. The Apache Flume tool is designed mainly for ingesting a high volume […]. The post Get to Know Apache Flume from Scratch!
CIO Business Intelligence
MAY 12, 2022
Do you want to know what the future may bring? Predictive analysis tools have an answer. Are they right? Sometimes. But sometimes can often be more than enough if the prediction can help your enterprise plan better, spend more wisely, and deliver more prescient service for your customers. What are predictive analytics tools? Predictive analytics tools blend artificial intelligence and business reporting.
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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.
Cloudera
MAY 9, 2022
Tuning Hive on Tez queries can never be done in a one-size-fits-all approach. The performance on queries depends on the size of the data, file types, query design, and query patterns. During performance testing, evaluate and validate configuration parameters and any SQL modifications. It is advisable to make one change at a time during performance testing of the workload, and would be best to assess the impact of tuning changes in your development and QA environments before using them in product
KDnuggets
MAY 12, 2022
By implementing the different NLP techniques into the production processes, compliance departments can maintain detailed checks and keep up with regulator demands.
Analytics Vidhya
MAY 13, 2022
This article was published as a part of the Data Science Blogathon. Introduction on AutoKeras Automated Machine Learning (AutoML) is a computerised way of determining the best combination of data preparation, model, and hyperparameters for a predictive modelling task. The AutoML model aims to automate all actions which require more time, such as algorithm selection, […].
CIO Business Intelligence
MAY 10, 2022
IBM is six months into a massive ERP modernization, moving core on-premises systems to Power servers running in its own cloud as it upgrades them from SAP’s legacy ECC software to the cloud-ready S/4HANA. IBM’s ERP transformation will be one of the largest under the “Rise with SAP” umbrella — perhaps rivaling that of Microsoft , which announced its own adoption of Rise with SAP for the first stages of its move to S/4HANA in March 2022.
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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.
Dataiku
MAY 9, 2022
This blog is a guest post from our friends at Shippeo. They’re a global leader and European specialist in real-time transportation visibility, helping major shippers and logistics service providers leverage transportation to deliver exceptional customer service and achieve operational excellence.
KDnuggets
MAY 9, 2022
Read this overview of 12 important machine learning concepts, presented in a no frills, straightforward definition style.
Analytics Vidhya
MAY 9, 2022
This article was published as a part of the Data Science Blogathon. Introduction Dealing with sequential data is considered one of the hardest problems to solve in the Data science industry. Standard neural networks have paved a new path in the rising AI industry. It worked very well with tabular data but every new invention in […]. The post An Introduction to Long Short-Term Memory (LSTMs) appeared first on Analytics Vidhya.
CIO Business Intelligence
MAY 9, 2022
There are few CIOs who haven’t been hit by attrition, as streams of highly talented IT professionals head out the door for bigger salaries, better opportunities, or both. The fact that today’s digital powerhouses are now hiring tens of thousands of employees — often without regard to geography — has only exacerbated the talent crunch for IT leaders.
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.
Smart Data Collective
MAY 10, 2022
Artificial intelligence (AI) is all the rage now. It’s impacting numerous industries globally and changing the way we do things. One of the critical industries AI is making strides in is the financial technology “fintech” industry. AI now plays a significant role in facilitating financial services, replacing what required manual work a few years ago.
KDnuggets
MAY 10, 2022
While it is true that Machine Learning today isn’t ready for prime time in many business cases that revolve around Document Analysis, there are indeed scenarios where a pure ML approach can be considered.
Analytics Vidhya
MAY 10, 2022
This article was published as a part of the Data Science Blogathon. Introduction on Jupyter Notebook Configuration Let’s You have a job crunching trillions of image data points to extract insights, and you don’t have sufficient storage or processing power to do it, so what will you do – Stop in the Middle or Get […]. The post Configure Jupyter Notebook On AWS In 2-Steps appeared first on Analytics Vidhya.
CIO Business Intelligence
MAY 11, 2022
Over the last decade Africa has gained a reputation for global leadership in mobile money, with Kenya at the forefront, but up to now financial services via mobile phones have not taken deep root in the continent’s most populace country — Nigeria. That may change as telecommunications companies such as Airtel and MTN jump into the mobile money market, after recently receiving licenses to do so.
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Think your customers will pay more for data visualizations in your application? Five years ago, they may have. But today, dashboards and visualizations have become table stakes. Turning analytics into a source of revenue means integrating advanced features in unique, hard-to-steal ways. Download this white paper to discover which features will differentiate your application and maximize the ROI of your analytics.
Smart Data Collective
MAY 13, 2022
There are many reasons big data has become a double-edged sword for businesses. One of the biggest examples is with employee monitoring. Many companies are using data analytics to monitor their employee productivity and other behavior. It can be even more beneficial than using big data for recruiting. This is an area where big data can help immensely.
KDnuggets
MAY 11, 2022
The objective of data mesh is to establish coherence between data coming from different domains across an enterprise. The domains are handled autonomously to eliminate the challenges of data availability and accessibility for cross-functional teams.
Analytics Vidhya
MAY 10, 2022
This article was published as a part of the Data Science Blogathon. Introduction on Apache Flume Apache Flume is a platform for aggregating, collecting, and transporting massive volumes of log data quickly and effectively. It is very reliable and robust. Its design is simple, based on streaming data flows, and written in the Java programming […].
CIO Business Intelligence
MAY 11, 2022
As the CIO of Oxford Said Business School, Mark Bramwell’s role was complex enough when the global pandemic moved thousands of students and staff to distance learning. Almost overnight there was a heightened need to drive innovation and reinvent business-as-usual. “It has felt that as a school, team, and personally, we have never worked harder in keeping the school operational in supporting its remote working, onsite, hybrid, and online learning and the new initiatives brought about by the pande
Speaker: Aindra Misra, Sr. Staff Product Manager of Data & AI at BILL (Previously PM Lead at Twitter/X)
Embark on a transformation journey into the heart of the data ecosystem! This webinar is your gateway to a deeper comprehension of the foundations that drive the data industry and will equip you with the knowledge needed to navigate the evolving landscape. Delve into the diverse use cases where data analytics plays a pivotal role. We’ll explore how these applications are transforming with the introduction of Gen AI, and discuss the anticipated use cases for 2024 and beyond.
Smart Data Collective
MAY 8, 2022
Big data, analytics, and AI all have a relationship with each other. For example, big data analytics leverages AI for enhanced data analysis. In contrast, AI needs a large amount of data to improve the decision-making process. Consumers are presented with ads every day they access the online world. The number of options available to them can sometimes really stress them out.
KDnuggets
MAY 12, 2022
Learn about the free and easy-to-deploy hosting platform for your machine learning projects.
Analytics Vidhya
MAY 13, 2022
This article was published as a part of the Data Science Blogathon. Introduction on RAPIDS How often has it happened that you had to wait for hours staring blankly at your screen, waiting for your ML Model to get trained? Quite often, I guess. Like Data Science enthusiasts, we all have found ourselves prolonged model training processes. […]. The post A Comprehensive Guide GPU Acceleration with RAPIDS appeared first on Analytics Vidhya.
CIO Business Intelligence
MAY 11, 2022
Customers today are buying based on their experience with a company and whether a product or service aligns with their personal values, including access, inclusivity, sustainability and trust. Customer experience (CX) should play the starring role in decision-making and should be woven into technology initiatives. To optimize technology for CX, CIOs must connect technology to customer value, thinking in terms of customer experience rather than customer process.
Speaker: Tony Karrer, Ryan Barker, Grant Wiles, Zach Asman, & Mark Pace
Join our exclusive webinar with top industry visionaries, where we'll explore the latest innovations in Artificial Intelligence and the incredible potential of LLMs. We'll walk through two compelling case studies that showcase how AI is reimagining industries and revolutionizing the way we interact with technology. Some takeaways include: How to test and evaluate results 📊 Why confidence scoring matters 🔐 How to assess cost and quality 🤖 Cross-platform cost vs. quality tr
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