Analytics Vidhya
MARCH 6, 2022
This article was published as a part of the Data Science Blogathon. Introduction Here’s a quick puzzle for you. I’ll give you two titles, and you’ll have to tell me which is fake. Ready? Let’s get started: “Adani Group is planning to explore investment in the EV sector.” “Wipro is planning to buy an EV-based startup.” […].
David Menninger's Analyst Perspectives
MARCH 9, 2022
Today, organizations understand the importance of good external data that can be integrated with internal data to train machine learning models. Our Machine Learning Dynamic Insights research showed that external data adds a significant value in gaining competitive advantage, improving customer experience and increasing sales. But getting the right external data for a particular requirement is not always easy.
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KDnuggets
MARCH 8, 2022
Also: Calculus: The hidden building block of machine learning; Decision Tree Algorithm, Explained; Telling a Great Data Story: A Visualization Decision Tree; The Complete Collection of Data Science Cheat Sheets – Part 1.
CIO Business Intelligence
MARCH 9, 2022
Today’s cloud strategies revolve around two distinct poles: the “lift and shift” approach, in which applications and associated data are moved to the cloud without being redesigned; and the “cloud-first” approach, in which applications are developed or redesigned specifically for the cloud. By far the fastest approach is to lift and shift the whole environment, says Matthew Hon, CTO for public sector at technology services company Fujitsu Americas, as rewriting applications for the cloud could 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
MARCH 11, 2022
Natural Language Processing, or NLP for short, is a branch of Artificial Intelligence that allows machines to comprehend, process, and manipulate human languages. The breakthrough in NLP bridged the gap between humans and machines, paving the way for leading-edge technologies such as Language Translator, Voice Assistants such as Siri, Customer Service Chatbots, and many more. […].
Smart Data Collective
MARCH 5, 2022
Are you a data scientist ? You might be missing out on some opportunities to make money from it. Even if you already have a full-time job in data science, you will be able to leverage your expertise as a big data expert to make extra money on the side. If you’re feeling strapped for cash and feel like you can earn more money with your knowledge and skills, then starting a side hustle in 2022 is an excellent idea.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
CIO Business Intelligence
MARCH 9, 2022
When Martin McCann and Mathias Born decided to create Trade Ledger, an Australian lending platform, their plan was to simplify and streamline lending services through cloud-based software for lenders. Their journey provides insights for CIOs in their own development efforts. When Trade Ledger started to develop its software as a service, Born’s team was focused on how to build and architect a system that wouldn’t be obsolete in a few years.
Analytics Vidhya
MARCH 8, 2022
This article was published as a part of the Data Science Blogathon. Introduction Machine Learning (ML) is reaching its own and growing recognition that ML can play a crucial role in critical applications, it includes data mining, natural language processing, image recognition. ML provides all possible keys in all these fields and more, and it set […].
Smart Data Collective
MARCH 11, 2022
There is no disputing that data analytics is a huge gamechanger for companies all over the world. Global businesses are projected to spend over $684 billion on big data by 2030. There are many ways that companies are using big data to boost their profitability. One of the most important is in the field of marketing. Do you know what motivates your customers?
KDnuggets
MARCH 8, 2022
Some exceptional female researchers and engineers are working on projects to make the world a better place with the help of AI, data science, and machine learning.
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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.
CIO Business Intelligence
MARCH 10, 2022
Much has been made of the perilous future CIOs whose organizations rely on mainframes may soon have to navigate, but the reality of mainframe infrastructure’s long-term outlook is a little more nuanced than that, as two recent news announcements attest. Fujitsu recently divulged it will end sales of its mainframes by April 2031, discontinuing support five years after that.
Analytics Vidhya
MARCH 8, 2022
This article was published as a part of the Data Science Blogathon. Image Source: Author Introduction Deep learning, a subset of machine learning, is undoubtedly gaining popularity due to big data. Startups and commercial organizations alike are competing to use their valuable data for business growth and customer satisfaction with the help of deep learning […].
Cloudera
MARCH 10, 2022
As an official sponsor of International Women’s Da y, Cloudera is excited to celebrate Women’s History Month and International Women’s Day, and to take up the mantle of this year’s theme #BreakTheBias. . Even in industries where women are underrepresented, like tech, women have made a lot of progress. Progress over many decades has slowly transformed the workplace into an environment where women’s strengths are recognized and valued.
KDnuggets
MARCH 10, 2022
Good quality data becomes imperative and a basic building block of an ML pipeline. The ML model can only be as good as its training data.
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.
CIO Business Intelligence
MARCH 9, 2022
“What would we do if Pennsylvania was surrounded by millions of troops?” asks Gunter Pfau, founder and CEO of Philadelphia-based Stuzo, says. “We’d want to get our team out of there as much as possible.”. Stuzo, a provider of loyalty and contactless commerce products and services for convenience store and fuel retailers, has more that 95 employees (about two-thirds of its staff) in the country, says Pfau, who emigrated as a boy from then-Communist Romania.
Analytics Vidhya
MARCH 11, 2022
Introduction Getting to meet and interact with people from your domain is always a great feeling. This is why conferences that revolve around Artificial Intelligence (AI) are great for developers, analysts and students who wish to work with AI (build or incorporate). Participating in international conferences is one of the best ways to stay updated […].
Smart Data Collective
MARCH 10, 2022
Big data has become a core aspect of modern web marketing. Companies need to use data to optimize their websites and get the most value out of their digital marketing strategies. Over 1.1 trillion megabytes of data are created every day. The majority of this data is generated over the Internet. This gives companies a huge opportunity to bolster their online marketing strategies by leveraging big data to the best of their abilities.
KDnuggets
MARCH 7, 2022
In this article, you will learn to export your models and use them outside a Jupyter Notebook environment. You will build a simple web application that is able to feed user input into a machine learning model, and display an output prediction to the user.
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.
CIO Business Intelligence
MARCH 9, 2022
High performance computing (HPC) and Artificial Intelligence (AI) solutions are being deployed on-premises, in the cloud, and at the edge across a wide range of industries. According to a study by Grand View Research, the global HPC market is expected to reach $60 billion by 2025.¹. In manufacturing, HPC and AI are being used for predictive and prescriptive maintenance, automation of product lifecycle management, and short design cycles.
Analytics Vidhya
MARCH 10, 2022
This article was published as a part of the Data Science Blogathon. Introduction A data source can be the original site where data is created or where physical information is first digitized. Still, even the most polished data can be used as a source if it is accessed and used by another process. A data source […]. The post An Overview of Data Collection: Data Sources and Data Mining appeared first on Analytics Vidhya.
Occam's Razor
MARCH 7, 2022
If there is one thing the universe agrees on, it is that you should just provide data… You should provide INSIGHTS!!! In the 807,150 (!) words I’ve written on this blog thus far, at least 400,000 have been dedicated to helping you find insights. In posts about advanced segmentation , in posts about how to build strategic dashboards that don’t suck , in encouraging you to reimagine how you pick metrics to obsess about using the magnificent Impact Matrix , and on and on and on.
KDnuggets
MARCH 11, 2022
To forecast costs for AI systems, it can be useful to talk about their “level” just like SAE has levels for self-driving cars. Adopting a level system can help organizations plan and prepare for AI systems that scale in complexity over time.
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.
CIO Business Intelligence
MARCH 10, 2022
IT gets lifecycle management wrong a lot. Search for a definition of lifecycle management and you’ll find something along the lines of: A strategic approach to managing the life cycle of an application or platform from conception to end of life — from provisioning, through operations, to retirement. Under this definition lifecycle management doesn’t seem to do anything.
Analytics Vidhya
MARCH 10, 2022
Introduction The gushing VC funds, the blessing of unicorns, the pool of enterprising tech talent have left start-ups with no option but to move faster. In a fast-paced company, decisions have to be faster and more decentralized. The large meetings that have to find an intersection across many busy calendars can slow down decisions in […]. The post The Power of Decisioning Async appeared first on Analytics Vidhya.
Smart Data Collective
MARCH 6, 2022
Business intelligence can help you gain a more accurate perspective on how your business is performing using key performance metrics. By 2023, 33% of companies will practice decision intelligence. Are you looking to use business intelligence to optimize business and security operations? Read on for an explanation and analysis of how business intelligence can leverage data to guide optimizing business and security operations.
KDnuggets
MARCH 9, 2022
This article discusses 2 levels of data science learning, and the amount of time that will need to go into each. From 6 months to 4 years, this write-up covers a number of skills and how long it takes to acquire them.
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.
CIO Business Intelligence
MARCH 11, 2022
The manufacturing industry has a history of embracing innovations designed to improve efficiencies, quality, and worker safety. Consider the impact Henry Ford made by bringing the assembly line to auto manufacturing, creating previously unheard-of efficiencies. Today, manufacturers are using newer tools like robotics, machine learning, and artificial intelligence (AI) to achieve similar goals.
Analytics Vidhya
MARCH 10, 2022
This article was published as a part of the Data Science Blogathon. Apple’s Siri and Google’s voice search both use Recurrent Neural Networks (RNNs), which are the state-of-the-art method for sequential data. It’s the first algorithm with an internal memory that remembers its input, making it perfect for problems involving sequential data in machine learning.
Cloudera
MARCH 8, 2022
Bias is everywhere. . We’re surrounded by it. . And it’s natural. We are alive today as a species because of biases. But it has a tangible impact on our personal and professional lives. Biases shape us and our experience. . As primary caregivers, women have felt the impact of biases and expectations more keenly during the pandemic. Last year women in my network felt like they were being expected to do everything at home and at work.
KDnuggets
MARCH 8, 2022
A time series feature engineering pipeline requires different transformations such as imputation and window aggregation, which follows a sequence of stages. This article demonstrates the building of a pipeline to derive multivariate time series features such that the features can then be easily tracked and validated.
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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