Analytics Vidhya
SEPTEMBER 11, 2022
This article was published as a part of the Data Science Blogathon. Introduction Blockchain technology is a decentralized, distributed ledger that keeps a record of ownership of digital assets. Any data stored on the blockchain cannot be modified, making the technology a legitimate disruptor for payments, cybersecurity, and healthcare industries. Blockchain is a system of registering […].
David Menninger's Analyst Perspectives
SEPTEMBER 16, 2022
Business intelligence has evolved. It now includes a spectrum of analytics , one of the most promising of which has been described as augmented intelligence. Some organizations have used the term to describe the practical reality that artificial intelligence with machine learning is not replacing human intelligence, but augmenting it. The term also represents the application of AI/ML to make business intelligence and analytics tools more powerful and easier to use.
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Data Insight
SEPTEMBER 11, 2022
Dashboards save time, improve business processes and enable you to spot gaps or issues – but only when designed well and used correctly. A poorly designed dashboard that’s used improperly – or not at all – has limited effectiveness, and can be a waste of digital space.
KDnuggets
SEPTEMBER 13, 2022
This article will go over the top 5 data science skills that pay you and 5 that don’t.
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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
SEPTEMBER 16, 2022
This article was published as a part of the Data Science Blogathon. Introduction If you ever wanted to build an image classifier for text recognition, I’m assuming you probably must have implemented the classic Handwritten Digit Recognition application from TensorFlow’s official examples. Often referred to as the ‘Hello World’ of Computer Vision, it’s a great starting […].
datapine
SEPTEMBER 16, 2022
“Most of us need to listen to the music to understand how beautiful it is. But often that’s how we present statistics: we just show the notes, we don’t play the music.” – Hans Rosling, Swedish statistician. datapine is filling your bookshelf thick and fast. Previously, we discussed the top 19 big data books you need to read, followed by our rundown of the world’s top business intelligence books as well as our list of the best SQL books for beginners and intermediates.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
KDnuggets
SEPTEMBER 16, 2022
Why is Gradient Descent so important in Machine Learning? Learn more about this iterative optimization algorithm and how it is used to minimize a loss function.
Analytics Vidhya
SEPTEMBER 16, 2022
Introduction Data science is a practical subject that the experts can best explain in the field. To provide our community with a better understanding of how different elements of the subject are used in different domains, Analytics Vidhya has launched our DataHour sessions. These sessions will enhance your domain knowledge and help you learn new […].
Dataiku
SEPTEMBER 16, 2022
This is a guest article from Eric Kahuha. Kahuha is an ambitious data scientist and an experienced technical writer. His work has been published in many blogs. He writes highly technical yet easy-to-understand content for beginners and experts in the tech field.
CIO Business Intelligence
SEPTEMBER 12, 2022
So much has changed since the early days of 2020 when the COVID-19 pandemic forced organizations to rethink where and how people work. What didn’t change was the need for organizations to continue to move forward with digital initiatives. For CIOs and IT leaders, that meant adopting a sink-or-swim mentality, and accelerating initiatives even as they transitioned to remote work.
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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.
KDnuggets
SEPTEMBER 15, 2022
In this article, we will discuss the importance of large language models and suggest some of the top open source models and the NLP tasks they can be used for.
Analytics Vidhya
SEPTEMBER 10, 2022
This article was published as a part of the Data Science Blogathon. Introduction Deep learning is one of the hottest fields in the past decade, with applications in industry and research. However, even though it’s easy to delve into the topic, many people are confused by the terminology and end up only implementing neural network […]. The post Understanding Word Embeddings and Building your First RNN Model appeared first on Analytics Vidhya.
Smart Data Collective
SEPTEMBER 10, 2022
Big data technology has helped many companies improve efficiency and address some of the top challenges they have encountered in recent years. A growing number of businesses have invested in AI to improve their business models. As a result, the market for AI technology is projected to be worth over $420 billion by 2028. Surveys have shown that 90% of the top businesses use AI , even though only 37% of companies use it at all.
CIO Business Intelligence
SEPTEMBER 14, 2022
After years of investments, Oracle’s bet on cloud computing has started to pay off with nearly a third of its revenue in the first quarter of fiscal year 2023 coming from cloud services. Total cloud revenue (SaaS and IaaS combined) stood at $3.6 billion in the quarter, up 50% year-on-year, without accounting for currency fluctuations. The company expects to hit an annualized revenue runrate of over $20 billion combining all of its cloud services, chairman Larry Ellison said on Monday, adding tha
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.
KDnuggets
SEPTEMBER 12, 2022
Standard Deviation is one of the most underrated statistical tools out there. It’s an extremely useful metric that most people know how to calculate but very few know how to use effectively.
Analytics Vidhya
SEPTEMBER 16, 2022
This article was published as a part of the Data Science Blogathon. Introduction AWS is a cloud computing service that provides on-demand computing resources for storage, networking, Machine learning, etc on a pay-as-you-go pricing model. AWS is a premier cloud computing platform around the globe, and most organization uses AWS for global networking and data […].
Smart Data Collective
SEPTEMBER 14, 2022
A growing number of organizations are resorting to the use of big data. They have found that big data technology offers a number of benefits. Companies that leverage it effectively increase their profitability by 60%. However, utilizing big data is more difficult than it might seem. Companies must be aware of the different ways that data can be collected, aggregated and applied.
CIO Business Intelligence
SEPTEMBER 14, 2022
The manufacturing industry is experiencing its “fourth industrial revolution,” with manufacturers focused on leveraging IT to stay competitive and meet the demand for digital services that can enhance their physical wares. Sensors, AI, and robotics are key Manufacturing 4.0 technologies that fueled data strategies aimed at identifying inefficiencies, streamlining processes, and improving the ability to forecast and predict industry trends.
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.
KDnuggets
SEPTEMBER 16, 2022
This post will look at a few different ways of attempting to simplify decision tree representation and, ultimately, interpretability. All code is in Python, with Scikit-learn being used for the decision tree modeling.
Analytics Vidhya
SEPTEMBER 13, 2022
This article was published as a part of the Data Science Blogathon. Introduction In the era of big data, it’s no surprise that more and more marketers are using data science in marketing to better position their brands, products, and services in today’s hyper-competitive marketplace. Source: [link] Four points that you need to take into your […].
Smart Data Collective
SEPTEMBER 16, 2022
The fintech sector is growing at a shocking rate. The market was worth over $112 billion last year. By 2028, it should be worth over $332 billion. Some entrepreneurs might think this is the best time ever to invest in fintech. While the market is growing and creating more opportunities for fintech entrepreneurs, the stakes are also higher than ever.
CIO Business Intelligence
SEPTEMBER 14, 2022
If it looks like a duck, swims like a duck, and quacks like a duck, then it’s probably a duck. The same is not true, sadly, for many agile project management and development initiatives. Too often, an organization may launch something that looks like an agile program, calls itself an agile program, claims to operate like an agile program, yet really isn’t an agile program in the least.
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.
KDnuggets
SEPTEMBER 16, 2022
The post introduces one of the most popular recommendation algorithms, i.e., collaborative filtering. It focuses on building an intuitive understanding of the algorithm illustrated with the help of an example.
Analytics Vidhya
SEPTEMBER 13, 2022
This article was published as a part of the Data Science Blogathon. Introduction The purpose of a data warehouse is to combine multiple sources to generate different insights that help companies make better decisions and forecasting. It consists of historical and commutative data from single or multiple sources. Most data scientists, big data analysts, and business […].
Smart Data Collective
SEPTEMBER 16, 2022
Big data technology is shaping the future of healthcare. Global healthcare companies are projected to spend over $105 billion on big data by 2030. One of the biggest benefits of big data in healthcare has been in the field of virtual healthcare. Demand for virtual healthcare services exploded during the pandemic. Big data technology is helping make this new field even more promising.
CIO Business Intelligence
SEPTEMBER 14, 2022
Having managed and rescued dozens of projects, and helped others do so, I’ve noted that there is always one critical success factor (CSF) that has either been effectively addressed or missed/messed up: clarity around the roles and responsibilities for each project participant and key stakeholder. No matter how detailed and complete a project plan may be for any project, confusion or omission of participant roles and responsibilities will cause major problems.
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.
KDnuggets
SEPTEMBER 13, 2022
Free Python for Data Science Course • How to Select Rows and Columns in Pandas Using [ ],loc, iloc,at and.iat • Everything You've Ever Wanted to Know About Machine Learning • 7 Tips for Python Beginners • 5 Tricky SQL Queries Solved.
Analytics Vidhya
SEPTEMBER 12, 2022
This article was published as a part of the Data Science Blogathon. Introduction As the world develops rapidly with advances in machine learning and artificial intelligence, we will soon face a situation of uncontrollable data augmentation. GPUs, TPUs, and other faster storage and processing mechanisms have so far successfully processed vast amounts of data in […].
Smart Data Collective
SEPTEMBER 13, 2022
In today’s more competitive, technology-driven corporate environment, all firms seeking to increase activity and productivity are reaping the benefits of the software world. The software industry is quite diverse, with solutions that may fulfill practically any potential business requirement, whether it be increased cloud computing capabilities, artificial intelligence-based automation tools, or merchant processing choices.
CIO Business Intelligence
SEPTEMBER 12, 2022
NJ Transit’s digital infrastructure has come a long way since Lookman Fazal took the top tech post more than three years ago. The chief information and digital officer for the transportation agency moved the stack in his data centers to a best-of-breed multicloud platform approach and has been on a mission to squeeze as much data out of that platform as possible to create the best possible business outcomes.
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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