Data Virtualization
JANUARY 8, 2020
According to CIO magazine, the first chief data officer (CDO) was employed at Capital One in 2002, and since then the role has become widespread, driven by the recent explosion of big data. The CDO role has a variety of.
datapine
JANUARY 7, 2020
Without big data analytics, companies are blind and deaf, wandering out onto the Web like deer on a freeway. – Geoffrey Moore, Author of Crossing the Chasm & Inside the Tornado. In the digital age, brands, businesses, and organizations have a wealth of information at their fingertips: a level of insight that if leveraged correctly, not only has the power to offer a real competitive edge but provides the potential to innovate, inspire and create a well-oiled commercial machine that continues
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KDnuggets
JANUARY 8, 2020
The standard job description for a Data Scientist has long highlighted skills in R, Python, SQL, and Machine Learning. With the field evolving, these core competencies are no longer enough to stay competitive in the job market.
Sisense
JANUARY 6, 2020
Blog. Nowadays, sales is both science and art. Best practice blends the application of advanced data models with the experience, intuition and knowledge of sales management, to deeply understand the sales pipeline. This process helps sales managers manage and invest in their team and anticipate opportunities that lead to exceeding revenue goals. Why sales and analysts should work together.
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Sales and marketing leaders have reached a tipping point when it comes to using intent data — and they’re not looking back. More than half of all B2B marketers are already using intent data to increase sales, and Gartner predicts this figure will grow to 70 percent. The reason is clear: intent can provide you with massive amounts of data that reveal sales opportunities earlier than ever before.
Analytics Vidhya
JANUARY 5, 2020
Introducing the Learning Path to become a Data Scientist in 2020! Learning paths are easily one of the most popular and in-demand resources we. The post Your Ultimate Learning Path to Become a Data Scientist and Machine Learning Expert in 2020 appeared first on Analytics Vidhya.
Corinium
JANUARY 6, 2020
Life at the top of the food chain is more precarious than it seems for enterprises in the financial services industry.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
erwin
JANUARY 9, 2020
Enterprises are trying to manage data chaos. They might have 300 applications, with 50 different databases and a different schema for each one. They also face increasing regulatory pressure because of global data regulations , such as the European Union’s General Data Protection Regulation (GDPR) and the new California Consumer Privacy Act (CCPA), that went into effect last week on Jan. 1.
Analytics Vidhya
JANUARY 8, 2020
Introduction Google “NLP jobs” and a remarkable number of relevant searches show up. There are businesses spinning up around the world that cater exclusively. The post A Comprehensive Learning Path to Understand and Master NLP in 2020 appeared first on Analytics Vidhya.
Juice Analytics
JANUARY 6, 2020
I like to think that the hero in your data story is your audience. The hero is the person who starts with conflict and, through the narrative journey, is transformed to resolve this conflict. That’s what you want the data story to accomplish for your audience — start with a question and move your audience (hero) to actions that will resolve the question.
KDnuggets
JANUARY 7, 2020
Follow this overview of Natural Language Generation covering its applications in theory and practice. The evolution of NLG architecture is also described from simple gap-filling to dynamic document creation along with a summary of the most popular NLG models.
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GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.
DataCamp
JANUARY 6, 2020
Understand the differences between the two most popular options for storing big data.
Analytics Vidhya
JANUARY 6, 2020
Introduction What a time to be working in the deep learning space! 2019 was chock full of deep learning-powered developments and breakthroughs – it. The post A Comprehensive Learning Path for Deep Learning in 2020 appeared first on Analytics Vidhya.
DataRobot
JANUARY 10, 2020
Does your organization apply appropriate human resources governance when hiring staff? Large enterprises tend to follow the same basic processes for hiring human staff. First, hiring managers write a job description, including the tasks the position requires and the skills and attributes of a suitable candidate. Job vacancies are posted, sometimes recruiters are also used, and people submit their resumes for consideration.
KDnuggets
JANUARY 7, 2020
An estimated 8,650% growth of the volume of Data to 175 zetabytes from 2010 to 2025 has created an enormous need for Data Engineers to build an organization's big data platform to be fast, efficient and scalable.
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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.
DataCamp
JANUARY 7, 2020
Here’s how to determine when to use the two most popular languages for data science: Python and R.
Analytics Vidhya
JANUARY 8, 2020
Introduction There are an overwhelming number of resources out there these days to learn computer vision concepts. How do you pick and choose from. The post Here’s your Learning Path to Master Computer Vision in 2020 appeared first on Analytics Vidhya.
Data Science 101
JANUARY 6, 2020
As 2020 begins, there has been limited cloud data science announcements so I put together some predictions. Here are 3 things I believe will happen in 2020. 1. Cloud Collaboration. I think we are going to see more interoperability between the major cloud providers. For example, Azure Arc now allows you to run Azure products on a kubernetes container running anywhere (even in Amazon Web Services or Google Cloud) and AWS Outposts runs AWS on-premise.
KDnuggets
JANUARY 8, 2020
Check out this collection of 10 Python snippets that can be taken as a reference for your daily work.
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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?
Sisense
JANUARY 7, 2020
Blog. SQL is one of the analyst’s most powerful tools. In SQL Superstar , we give you actionable advice to help you get the most out of this versatile language and create beautiful, effective queries. Creating order. The SQL order of execution defines the order in which the clauses of a query are evaluated. Some of the most common query challenges I run into could be easily avoided with a clearer understanding of the SQL order of execution, sometimes called the order of operations.
IBM Big Data Hub
JANUARY 10, 2020
AutoAI, a feature of IBM Watson Studio, helps application developers and data scientists work in concert to increase yields for model and app investments, and orchestrate ModelOps with DevOps.
Darkhorse
JANUARY 9, 2020
In that last post , we introduced the concept of The Visualization Frontier. It’s a simple rubric to measure the effectiveness of your data visualization. We defined effectiveness as the combination of clarity and engagement. The closer you are to the red line, the more effective you are. (We hinted at the possibility that the red line is not the same for everyone - that it’s tied to your capability as a data visualizer.
KDnuggets
JANUARY 10, 2020
A resume plays a key role in bagging that dream data science job. We break down the nuances of a job-winning data science resume so that you can go ahead and transform your own resume.
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In this exploration, we're diving into predictions about the future of sales. We're talking about a complete shake-up powered by automation and artificial intelligence (AI). These aren't just fancy tools — they're real game-changers. Automation and AI are here to redefine every interaction, making them smarter, faster, and more meaningful. From personalized customer journeys to streamlined sales processes, the goal is to make every moment count, enhancing both efficiency and connection.
Sisense
JANUARY 7, 2020
Blog. SQL is one of the analyst’s most powerful tools. In SQL Superstar , we give you actionable advice to help you get the most out of this versatile language and create beautiful, effective queries. One problem, many solutions. For today’s daily report, we need a list of users and the most recent widget each user has created. We have a users table and a widgets table, and each user has many widgets. users.id is the primary key on users, and widgets. user_id is the corresponding foreign k
Jet Global
JANUARY 4, 2020
Reporting is considered a necessary evil by a lot of people. Without clear, accurate, and comprehensive reports, there is no way to know how your company is performing. Yet the amount of time, input, and resources that reporting requires means it can drag down performance in the process. Companies can’t operate blindly, but they also can’t spend days, or even weeks, pouring information into static spreadsheets.
FineReport
JANUARY 6, 2020
Reporting tools play vital importance in transforming data into visual graphs and charts, presenting data in an attractive and intuitive manner. An excellent reporting tool will let you gather information conveniently and to have a comprehensive view of your business. Today, I listed the 10 best reporting tools you can’t miss in 2020, which covers the open-source and commercial, different types of reporting tools.
KDnuggets
JANUARY 6, 2020
Reducing images to numbers makes them amenable to computation. Let's take a look at the why and the how using Python and Numpy.
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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.
Data Science 101
JANUARY 8, 2020
What is Artificial Intelligence (AI)? Artificial Intelligence has nearly as many definitions as people you ask. Here are two intriguing definitions I have heard. “Anything Computers cannot do … yet!” appears in many places , original source unknown. This is actually a pretty good definition, but it is always changing so it is hard to evaluate and compare.
Jet Global
JANUARY 4, 2020
Reporting is considered a necessary evil by a lot of people. Without clear, accurate, and comprehensive reports, there is no way to know how your company is performing. Yet the amount of time, input, and resources that reporting requires means it can drag down performance in the process. Companies can’t operate blindly, but they also can’t spend days, or even weeks, pouring information into static spreadsheets.
FineReport
JANUARY 5, 2020
Christmas has just passed. What gifts did you receive and what did you give this Christmas? Are you curious about what are the top selling items for Christmas 2019, and what are the most popular gifts people want? The answers to these questions are in the Christmas sales dashboard I made below. Let’s take a look. This Christmas dashboard is an online sales dashboard that I made with data from the Internet.
KDnuggets
JANUARY 8, 2020
Simply put: This post is about installing SQL, explaining SQL and running SQL.
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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.
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