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 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.
Speaker: John Mansour
If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.
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 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.
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 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 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.
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
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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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?
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 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.
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
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.
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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.
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 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.
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 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: Timothy Chan, PhD., Head of Data Science
Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.
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 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 15, 2022
Learn the rules for writing technical blogs, and increase unique views tenfold. Focusing on title, images, vocabulary, code blocks, writing style, and social media promotion can help you build a solid brand.
Speaker: Scott Sehlhorst
We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.
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 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.
CDW Research Hub
APRIL 11, 2022
Any organizational leader will likely tell you that they deal with many complexities in their organization. But what specifically is meant by “organizational complexity”? What is organizational complexity? Complexity is defined as something with many parts or elements that interact with each other in ways that can be difficult or impossible to predict.
KDnuggets
APRIL 12, 2022
The intent of this article is to give you a reality check of what are the personality traits of a typical data scientist before you dip your feet in the ocean of the big shiny world of data science.
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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.
CIO Business Intelligence
APRIL 13, 2022
The global IT services industry has emerged from two-plus years of a global pandemic to establish itself as even more vital to the success of enterprise IT organizations. As corporate IT looks to manage unrelenting demand for technology-enabled change in a challenging talent environment, outsourcing partnerships have proved pivotal. . “Companies are finding it exceedingly hard to find skilled talent especially in the US and Europe, and consequently outsourcing (and offshoring) are becoming impor
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.
IBM Big Data Hub
APRIL 12, 2022
My first task as a Chief Data Officer (CDO) is to implement a data strategy. Over the past 15 years, I’ve learned that an effective data strategy enables the enterprise’s business strategy and is critical to elevate the role of a CDO from the backroom to the boardroom. Understand your strategic drivers. A company’s business strategy is its strategic vision to achieve its business goals.
KDnuggets
APRIL 12, 2022
Also: Decision Tree Algorithm, Explained; 8 Free MIT Courses to Learn Data Science Online; Why Are So Many Data Scientists Quitting Their Jobs?; Top Programming Languages and Their Uses.
Speaker: Kevin Kai Wong, President of Emergent Energy Solutions
In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.
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