Analytics Vidhya
APRIL 14, 2022
This article was published as a part of the Data Science Blogathon. Source: Forbes.com Introduction It is not hidden from the audience that quantum computing is the future of data processing. Tech giants like IBM, Google, and Microsoft are all aggressively pursuing quantum computing technology for a good reason. The massive speedups and power savings of quantum […].
datapine
APRIL 14, 2022
“You can have data without information, but you cannot have information without data.” – Daniel Keys Moran. When you think of big data, you usually think of applications related to banking, healthcare analytics , or manufacturing. After all, these are some pretty massive industries with many examples of big data analytics, and the rise of business intelligence software is answering what data management needs.
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KDnuggets
APRIL 15, 2022
Data is the bread and butter of a Data Scientist, so knowing many approaches to loading data for analysis is crucial. Here, five Python techniques to bring in your data are reviewed with code examples for you to follow.
CIO Business Intelligence
APRIL 15, 2022
In 2017, The Economist declared that data, rather than oil, had become the world’s most valuable resource. The refrain has been repeated ever since. Organizations across every industry have been and continue to invest heavily in data and analytics. But like oil, data and analytics have their dark side. According to CIO’s State of the CIO 2022 report, 35% of IT leaders say that data and business analytics will drive the most IT investment at their organization this year.
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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
Analytics Vidhya
APRIL 12, 2022
This article was published as a part of the Data Science Blogathon. Introduction In this article, we will build a machine learning pipeline that is a Car Price Predictor using Spark in Python. We have already learned the basics of Pyspark in the last article. If you haven’t checked it yet, here is the link. […]. The post Building a Car Price Predictor Using Spark in Python appeared first on Analytics Vidhya.
Smart Data Collective
APRIL 11, 2022
Artificial intelligence technology has been instrumental in driving many important changes in our daily lives. We use a ton of online tools and mobile apps that rely heavily on AI technology. How important has AI been in transforming mobile apps and online tools? One study from Gartner found that it increased 270% between 2015 and 2019. Online time tracking apps are among those that use AI technology to improve the customer experience and offer the best service.
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
APRIL 12, 2022
Slowdowns caused by system disruption and complexities in your IT environment are more than an operational headache. They can have a direct impact on the bottom line. While it’s enormously important to make IT systems more efficient and give time back to the organization, it’s just as important to recognize the value of that time and understand the best ways to allocate it between workers, apps, and infrastructure.
Analytics Vidhya
APRIL 14, 2022
This article was published as a part of the Data Science Blogathon. Introduction In this article, we will be working on the application which will be capable enough to change the image to its watercolor art form, that we will be using just computer vision operations i.e. none of the machine learning techniques will be involved […]. The post Using Computer Vision to Convert Images in Watercolor Art appeared first on Analytics Vidhya.
Smart Data Collective
APRIL 13, 2022
Machine learning technology is becoming a more important aspect of modern marketing. One of the biggest reasons for this is that digital marketing is playing a huge role in marketing strategies for most companies. Companies are expected to spend $460 billion on digital marketing this year. Machine learning technology is a very important element of digital marketing.
KDnuggets
APRIL 14, 2022
See how easy it can be to build a simple web app for question answering from text using Streamlit and HuggingFace pipelines.
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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?
CIO Business Intelligence
APRIL 11, 2022
More cities than ever before are investing in smart city technology and changing how cities operate. There are many benefits that come along with making a city “smart.” It gives the city more information and data to help drive decision making leading to tremendous benefits that positively influence the lives of everyone who lives, works, and visits, such as: .
Analytics Vidhya
APRIL 11, 2022
This article was published as a part of the Data Science Blogathon. Introduction Like every other person, I’ve faced quite some difficulties in using a regular expressions, and I am sure still there is a lot to learn. But, I’ve reached a point where I can use them in my day-to-day work. In my process […]. The post Beginners Tutorial for Regular Expression in Python appeared first on Analytics Vidhya.
Cloudera
APRIL 13, 2022
The term “AI-first” has received its share of attention lately, especially in the boardroom where strategies to gain a competitive advantage are always welcome. But before a company embarks on an AI-first strategy, it pays to understand what it is and how it will transform the organization. If you’re AI-first, that means you have figured out how to leverage artificial intelligence to boost organizational agility so you can continuously adapt operational processes to deliver the right business ou
KDnuggets
APRIL 14, 2022
Check out these resources to help you prepare for your data science Interview, or for those who are brushing up on their technical skills or who want to start learning data science.
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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
APRIL 13, 2022
In response to the pandemic and the resultant Great Resignation , Oracle has launched a new employee experience platform, dubbed Oracle ME, under its Fusion Cloud Human Capital Management (HCM) suite to help enterprises with workforce challenges such as attrition. “Bad employee experience has been one of the major disruptors in the HCM space. With largely distributed workforces and many contributing remotely, employees are often dissatisfied with their experience across most enterprises leading
Analytics Vidhya
APRIL 12, 2022
This article was published as a part of the Data Science Blogathon. Introduction In this article, we are going to cover Spark SQL in Python. In the last article, we have already introduced Spark and its work and its role in Big data. If you haven’t checked it yet, please go to this link. Spark is […]. The post End-to-End Beginners Guide on Spark SQL in Python appeared first on Analytics Vidhya.
Dataiku
APRIL 12, 2022
You may have read, heard, or experienced first hand the value of geospatial data for a variety of business and daily life applications. You might be also aware that this field of analytics is gaining more and more traction and can get quite complex and challenging in terms of talent and resources.
KDnuggets
APRIL 11, 2022
Let's have a look at the Python libraries that every data scientist should know in 2022, to maintain and improve their coding journey.
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
APRIL 14, 2022
With data-driven decisions and digital services at the center of most businesses these days, enterprises can never get enough data to fuel their operations. But not every bit of data that could benefit a business can be readily produced, cleansed, and analyzed by internal means. Enter data-as-a-service providers: Entities that offer data on tap for a fee for your enterprise to use.
Analytics Vidhya
APRIL 12, 2022
This article was published as a part of the Data Science Blogathon. Introduction In this article, we will discover Graph Network Tools and Packages in python that are currently dominating in the data science industry. The world is all about relations. Every entity we see around us is related to each other somehow. Modelling these […]. The post All About Popular Graph Network Tools in Python appeared first on Analytics Vidhya.
DataRobot Blog
APRIL 11, 2022
If you follow the media stories about AI , you will see two schools of thought. One school is utopian, proclaiming the amazing power of AI, from predicting quantum electron paths to driving a race car like a champion. The other school is dystopian, scaring us with crisis-ridden stories that range from how AI could bring about the end of privacy to self-driving cars that almost immediately crash.
KDnuggets
APRIL 13, 2022
Build the essential technical, analytical, and leadership skills needed for careers in today's data-driven world in Northwestern’s Master of Science in Data Science program.
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Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.
CIO Business Intelligence
APRIL 12, 2022
Every profession has its own collection of abbreviations, acronyms, catchphrases, and jargon that serve as shorthand for their techniques and tools. IT is no different. Yet, unlike other disciplines, the language of IT tends to spill out across the enterprise and society itself. There are ads praising cloud computing and data-driven decision-making.
Analytics Vidhya
APRIL 12, 2022
This article was published as a part of the Data Science Blogathon. Introduction In the last article, we discussed Apache Spark and the big data ecosystem, and we discussed the role of apache spark in data processing in big data. If you haven’t read it yet, you can find it on this page. This article […]. The post Learn About Apache Spark Using Python appeared first on Analytics Vidhya.
Teradata
APRIL 13, 2022
Digitization is necessary, but not sufficient to meet evolving customer demands & create the bank of the future. Use data analytics to help customers achieve their goals not deliver better apps.
KDnuggets
APRIL 14, 2022
By using a few lines of code, you can understand key aspects of a given dataset. These tools have helped me answer business-related questions during the data assessment test by Alooba.
Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali
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
APRIL 12, 2022
Everest Group’s annual ranking of the top IT service providers saw some movement this year compared to last, but one thing that remained unchanged was Accenture’s place at the top of the list. In fact, it was the sixth year in a row that the $50.5 billion firm was recognized as the overall leading service provider of the year. “Knocking Accenture down a peg or two is easily the biggest challenge for other players in the industry,” says Abhishek Singh, partner with Everest Group.
Analytics Vidhya
APRIL 11, 2022
Introduction Cloud computing is the name of the game in Web 2.0 and will continue to extend to Web 3.0. Many businesses, from small mom-and-pop corner stores to large multinationals and government agencies. With the shifting to online and virtual business models, cloud computing has helped enhance corporate workflow and reduce office infrastructure costs.
Depict Data Studio
APRIL 11, 2022
Ten years ago, I had terrible insomnia. I was working full-time and finishing graduate school at night. My stress came out as insomnia. I’d get tired of laying in bed… and go make YouTube videos. For me, being up in the middle of the night + making YouTube videos = intertwined. I was up in the middle of the night again to speak at the Present to Succeed Conference (it’s mostly a European conference – different time zones).
KDnuggets
APRIL 11, 2022
Check out the collection of the best data repositories on healthcare, natural language, neuroscience, physics, social network, sports, time series, transportation, miscellaneous, and super data repositories.
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.
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