Analytics Vidhya
JULY 13, 2022
This article was published as a part of the Data Science Blogathon. Introduction The third generation of the world wide web is called Web 3.0 and it first appeared in Tim Berners-Lee’s paper, “The Semantic Web.” Web 3.0 has been described as an evolution of the current web, which will be characterized by seamless integration […].
KDnuggets
JULY 13, 2022
Learn about some of the most well known machine learning algorithms in less than a minute each.
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CIO Business Intelligence
JULY 12, 2022
Servant leadership has emerged as a popular management method that replaces command-and control-style leadership with empathy and empowerment. The management approach prioritizes the growth, well-being, and empowerment of employees. It aims to foster an inclusive environment that enables everyone in the organization to thrive as their authentic self.
Smart Data Collective
JULY 11, 2022
We have talked about the benefits of using big data in the marketing profession in the past. The top marketing strategists of every organization need to understand its benefits and use it effectively. CMOs Are Investing in the Benefits of Big Data. The market for marketing analytics technology is growing nearly 14% a year. The demand for data analytics technology in the marketing will continue to grow as more executives recognize its benefits.
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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?
Analytics Vidhya
JULY 12, 2022
This article was published as a part of the Data Science Blogathon. Introduction Python is a general-purpose and interpreted programming language. It can be used to create a Web application and is widely used in Artificial Intelligence. Due to the implementation of machine learning and deep learning models, it has become the language of demand […].
KDnuggets
JULY 15, 2022
Machine learning, big data analytics or AI may steal the headlines, but if you want to hone a smart, strategic skill that can elevate your career, look no further than SQL.
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
JULY 12, 2022
Data analytics technology has helped many employers boost productivity and increase employee morale. Markets and Markets projects that companies around the world will spend over $3.6 billion on HR analytics by 2024. The sudden interest in data analytics in the human resource management profession are obvious. McKinsey has an entire study published on the merits of using analytics to improve the dynamics of the workplace.
Analytics Vidhya
JULY 14, 2022
This article was published as a part of the Data Science Blogathon. Introduction K-means clustering is one of the algorithms which unsupervised machine learning supports hence before moving forward with K-means let’s have background knowledge of the unsupervised learning method. In this method, we don’t have predefined labels unlike the supervised method hence we don’t […].
KDnuggets
JULY 14, 2022
Deep learning forms the backbone of modern day artificial intelligence. Learn more about the important aspects of this connection with this freely available course.
CIO Business Intelligence
JULY 11, 2022
Altering your approach as a CIO is critical in leading digital transformation within healthcare organizations. The goal of healthcare digital transformation is to achieve clinical, financial, and operational strategic goals, but this journey is complex and requires the mobilization of technology, resources, processes, and talent. Every aspect of what healthcare organizations do is affected by digital transformation – from enhancing the patient experience to making data-driven decisions and autom
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📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.
Cloudera
JULY 11, 2022
The need for data fabric. As Cloudera CMO David Moxey outlined in his blog , we live in a hybrid data world. Data is growing and continues to accelerate its growth. It is changing in makeup and appearing in ever more places. Driving insight and value from it all is as much of an opportunity as it is a challenge. As a result, it’s getting ??progressively more complex for businesses to access, use, and create value from it.
Analytics Vidhya
JULY 13, 2022
This article was published as a part of the Data Science Blogathon. Introduction In this article, we will see how to build an application that can recognize digits that are written by hand. The application will recognize our handwriting. Nowadays, technology has increased tremendously, and the computer can recognize anything. Here there are two categories […].
KDnuggets
JULY 11, 2022
Generalizing things is easy for us humans, however, it can be challenging for Machine Learning models. This is where Cross-Validation comes into the picture.
CIO Business Intelligence
JULY 13, 2022
Here’s the secret to creating a board presentation on cybersecurity, according to Victor Shadare, head of cybersecurity at the international publishing giant Condé Nast : “The board doesn’t have time to look at detail as such. They want something that’s going to punch them in the face,” he said. Metrics that create a narrative and show how the business compares to competitors, the wider industry, and globally against all businesses give a clear picture that allows board members to set strategy.
Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com
Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.
DataRobot Blog
JULY 13, 2022
Last month at DataRobot AIX 22 , we celebrated an exciting milestone at DataRobot, our ten-year anniversary. This marks a full decade since some of the brightest minds in data science formed DataRobot with a singular vision: to unlock the potential of AI and machine learning for all—for every business, every organization, every industry—everywhere in the world.
Analytics Vidhya
JULY 9, 2022
This article was published as a part of the Data Science Blogathon. Introduction In order to build machine learning models that are highly generalizable to a wide range of test conditions, training models with high-quality data is essential. Unfortunately, a large part of the data collected is not readily ideal for training machine learning models, this increases […].
KDnuggets
JULY 14, 2022
See why biological neurons can’t do the most fundamental process of the artificial perceptron, the summation of inputs.
CIO Business Intelligence
JULY 15, 2022
What is vendor management? Vendor management helps organizations take third-party vendor relationships from a passive business transaction to a proactive collaborative partnership. While working with IT vendors can help ease the burden on IT, it also raises concerns, especially around data, risk, and security. A sound IT vendor management strategy can help organizations determine which vendor best fits the company’s needs while keeping in mind relevant features, price, availability, risk and sec
Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin
As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.
Domino Data Lab
JULY 12, 2022
Reproducibility is a cornerstone of the scientific method and ensures that tests and experiments can be reproduced by different teams using the same method. In the context of data science , reproducibility means that everything needed to recreate the model and its results such as data, tools, libraries, frameworks, programming languages and operating systems, have been captured, so with little effort the identical results are produced regardless of how much time has passed since the original pro
Analytics Vidhya
JULY 15, 2022
This article was published as a part of the Data Science Blogathon. Introduction This article will be a cakewalk through a consulting project where we will be working with a large technology firm to predict whether certain types of hackers were involved in hacking their servers or not! To solve this real-world problem, we will […]. The post Analyzing Hacker’s Dataset using KMeans MLIB appeared first on Analytics Vidhya.
KDnuggets
JULY 15, 2022
How can you showcase your data scientist skills and abilities? The answer to this question is online platforms where you can publish your portfolio and seize opportunities.
CIO Business Intelligence
JULY 14, 2022
CIOs of large enterprises have pain points that are complex, underscoring the need for suppliers to listen intently and understand their predicaments. The challenges of managing data, the lifeblood of any enterprise, are continuously evolving and require attention because ignoring them only makes the “pain points” worse. CIOs and their teams look to the tech industry to solve their problems, develop new, cost-effective technology solutions, and make implementation of new solutions smooth and eas
Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network
In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.
Smart Data Collective
JULY 15, 2022
Are you considering starting a software business that sells AI applications? This can be a great idea, since the demand for AI technology is booming. Artificial intelligence technology has become more popular than anyone ever projected. Here are some statistics on the changes AI is creating : A report by Gartner shows that companies are projected to spend over $62 billion on AI this year alone.
Analytics Vidhya
JULY 13, 2022
This article was published as a part of the Data Science Blogathon. Introduction The use of artificial intelligence (AI) in diesel generator sets is becoming more common as the technology continues to develop and become more affordable. A DG is a type of internal combustion engine that uses diesel fuel to generate electrical power. Major […]. The post Using Artificial Intelligence in Diesel Generator appeared first on Analytics Vidhya.
KDnuggets
JULY 15, 2022
Logistic regression is a machine learning classification algorithm that is used to predict the probability of certain classes based on some dependent variables.
CIO Business Intelligence
JULY 12, 2022
As anybody in IT can attest, the skills gap companies are facing is real, and it’s getting more pronounced. The Great Resignation trend is hitting IT hard. Nearly 90% of all employers either already have a shortage or expect to face one within a few years. And a third say the problem has already grown worse over the past year alone. Employers are approaching the skills issue proactively.
Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage
Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.
Domino Data Lab
JULY 14, 2022
The financial services industries are starting to realize the full import of the fact that, like household chores like dishwashing and garden work, ML models are never really done. Rather, AI and ML models need to be monitored for validity, and often, they also need to be re-explained and re-documented for regulators. So the spotlight is on model risk management (MRM) and governance (MRG), two related critical processes for financial services and insurance companies, and the importance of these
Analytics Vidhya
JULY 13, 2022
This article was published as a part of the Data Science Blogathon. Introduction Today, Artificial Intelligence and Machine Learning have wide applications across all domains for several problem statements like Speech Recognition, understanding customer sentiment towards a product, etc. However, for building a reliable and robust model, we need a large volume of data.
KDnuggets
JULY 13, 2022
Learn various techniques to reduce data processing time by using multiprocessing, joblib, and tqdm concurrent.
CIO Business Intelligence
JULY 14, 2022
By Thyaga Vasudevan, VP of Product Management, Skyhigh Security. As enterprises consider adoption of security service edge (SSE) solutions, they are raising questions about how best to secure data that touches the cloud in any way – whether data is accessed by or stored in websites, Software-as-a-Service (SaaS) applications, or private applications that reside in the cloud.
Speaker: Jesse Simms, VP at Giant Partners
This new, thought-provoking webinar will explore how even incremental efforts and investments in your data can have a tremendous impact on your direct mail and multi-channel marketing campaign results! Industry expert Jesse Simms, VP at Giant Partners, will share real-life case studies and best practices from client direct mail and digital campaigns where data modeling strategies pinpointed audience members, increasing their propensity to respond – and buy.
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