Corinium
NOVEMBER 7, 2019
The notion that businesses should be making data-driven decisions may seem obvious to a CDAO. But the fact is, people in other business functions don’t always see things that way.
TDAN
NOVEMBER 5, 2019
With the exponential growth of data from so many different sources, data silos (or in other words, separate unintegrated data stores) are more prevalent than ever. However, what is the root cause of data silos? People silos! The more that people view themselves as separated, the more that data is separated. But aren’t people and […].
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Smart Data Collective
NOVEMBER 7, 2019
ISPs are using data analytics in a variety of ways. Many consumers may be concerned about this, because they are known to exploit customer data. However, they use data in a number of benevolent ways, which many people will be okay with. Pew Research has shown most customers are okay with companies collecting their data if it is used for holistic purposes.
datapine
NOVEMBER 5, 2019
To succeed in today’s competitive business world, the ability to make the right decisions at the right time based on water-tight insights is essential. If you don’t have the vision or don’t know what to do with it, you’ll find yourself shooting in the dark – and that is detrimental to the growth and evolution of any business, regardless of size or sector.
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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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.
erwin
NOVEMBER 6, 2019
Can the 80/20 Rule Be Reversed? erwin released its State of Data Governance Report in February 2018, just a few months before the General Data Protection Regulation (GDPR) took effect. This research showed that the majority of responding organizations weren’t actually prepared for GDPR, nor did they have the understanding, executive support and budget for data governance – although they recognized the importance of it.
KDnuggets
NOVEMBER 6, 2019
Follow these eight headings of an audit sheet that business analysts should address before submitting the results of their analytics project. One recommended approach is to rewrite each step as a question, answer it, and then attach it to your project.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
TDAN
NOVEMBER 5, 2019
As more companies invest in data and apply analytical insights, they start to demand better products and services from their vendors. Why should a business use one data service when another startup has launched a competing product with better features? Additionally, as business leaders learn more about what their data can do, they challenge teams […].
Analytics Vidhya
NOVEMBER 3, 2019
Overview Here are six open-source data science projects to enhance your skillset These projects cover a diverse set of domains, from computer vision to. The post 6 Exciting Open Source Data Science Projects you Should Start Working on Today appeared first on Analytics Vidhya.
Corinium
NOVEMBER 4, 2019
Customer experiences are stagnating in the US.
KDnuggets
NOVEMBER 7, 2019
This post will walkthrough a Python implementation of a vocabulary class for storing processed text data and related metadata in a manner useful for subsequently performing NLP tasks.
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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?
Data Science 101
NOVEMBER 7, 2019
Microsoft just held one of its largest conferences of the year, and a few major announcements were made which pertain to the cloud data science world. Here they are in my order of importance (based upon my opinion). Azure Synapse. I think this announcement will have a very large and immediate impact. Azure Synapse Analytics can be seen as a merge of Azure SQL Data Warehouse and Azure Data Lake.
Analytics Vidhya
NOVEMBER 6, 2019
Overview Deep learning is a vast field but there are a few common challenges most of us face when building models Here, we talk. The post 4 Proven Tricks to Improve your Deep Learning Model’s Performance appeared first on Analytics Vidhya.
KDnuggets
NOVEMBER 5, 2019
Artificial Intelligence continues to fill the media headlines while scientists and engineers rapidly expand its capabilities and applications. With such explosive growth in the field, there is a great deal to learn. Dive into these 10 free books that are must-reads to support your AI study and 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.
Jen Stirrup
NOVEMBER 4, 2019
If you’re reading this blog, you are probably wondering what Robotic Process Automation (RPA) is, and what it can do for businesses. Enterprises can automate mundane and tedious rules-based business processes in order to streamline operations and cut costs. Basically, it is a tool to help productivity. If you are filling out a form, for example, it could do all of the checks for you, such as going off to check someone’s driving licence or company registration number.
Analytics Vidhya
NOVEMBER 5, 2019
Overview Extracting features from tabular or image data is a well-known concept – but what about graph data? Learn how to extract features from. The post Learn How to Perform Feature Extraction from Graphs using DeepWalk appeared first on Analytics Vidhya.
Juice Analytics
NOVEMBER 4, 2019
That’s our lead designer, James (out on the town in Nashville with one of our talented developers, Jingwei). James knows data stories. He appreciates that a data story needs to have beautiful, intuitive visualizations and people-first descriptions. But before James worries about all that, he starts by finding the structure of a story. The structure is the narrative flow that will grab a reader’s attention and carry them through the analytics to find valuable, actionable insights.
KDnuggets
NOVEMBER 4, 2019
The new release of PyTorch includes some impressive open source projects for deep learning researchers and developers.
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.
BizAcuity
NOVEMBER 4, 2019
The gaming industry never stopped growing. Though initially, there were only a few who anticipated the potential it held, the inception of broadband internet changed things completely. From casino games to arcade games, the industry evolved into online gaming or digital gaming – a virtual jackpot that never seems to run out. Today, online gaming accounts for a major chunk of the industry, which was estimated to have generated $116bn in 2017 alone.
Analytics Vidhya
NOVEMBER 4, 2019
Data engineers are a rare breed. Without them, a machine learning project would crumble before it starts. Their knowledge and understanding of software and. The post Master Data Engineering with these 6 Sessions at DataHack Summit 2019 appeared first on Analytics Vidhya.
Smart Data Collective
NOVEMBER 6, 2019
Smart cities are gaining popularity across the world thanks to the convenience and efficiency they bring to citizens, visitors, and government leadership. Smart city technology can use data to revolutionize what it means to live and work in a city. First, however, we need the right kind of storage solutions to make all these proposed features functional.
KDnuggets
NOVEMBER 4, 2019
Customer Segmentation can be a powerful means to identify unsatisfied customer needs. This technique can be used by companies to outperform the competition by developing uniquely appealing products and services.
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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.
DataRobot
NOVEMBER 8, 2019
Back when I was doing my undergraduate degree, I remember being asked to proofread a friend’s economics essay. I didn’t make it past the first paragraph before spotting the surprising phrase “John Maynard Keynes' work was impotent.” While there was a possibility that my friend wanted to criticize Keynes’ work, the remainder of the essay was pro-Keynes.
Ontotext
NOVEMBER 7, 2019
It is a period of civil war. Rebel GraphQL developers strike from a hidden base and have won their first victory against the evil SPARQL empire. During the battle, however, it is discovered that Ontotext has secret plans to allow both GraphQL and SPARQL to co-exist, and flourish together, building the ultimate weapon, the ONTOTEXT PLATFORM ! An armored Knowledge Graph platform with enough power to enrich an entire planet.
Dataiku
NOVEMBER 8, 2019
A report by Accenture postulated $550 billion could be unlocked for the chemical industry in the next decade by digitalization. Though chemical companies are eager to embrace opportunities that will enhance efficiency and boost revenue and profitability, few have fully harnessed the available tools.
KDnuggets
NOVEMBER 4, 2019
Check out this step-by-step walk through of some of the more confusing aspects of neural nets to guide you to making smart decisions about your neural network architecture.
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.
Smart Data Collective
NOVEMBER 7, 2019
Big data is playing a very important role in the future of branding. Last year, Samantha Bhargav wrote a great article on ways big data can help with branding strategies. There are a number of benefits, as Bhargav points out. One of the biggest is customer-centric marketing. Ways that Big Data Promotes Stronger Branding Practices. Whether you are a brand that has just started off or a brand that has become a dominant force over the years, the same core principles are going to determine whether y
DataRobot
NOVEMBER 5, 2019
With time-poor consumers, grocery shopping is a hectic but necessary chore. Retailers provide a huge array of choices for every type of product from cereal to dish soaps. With so many options available, grocery shopping can be an overwhelming experience. How can any type of retailer ensure that their customers get the products they need while also having a positive and enjoyable experience?
Dataiku
NOVEMBER 4, 2019
One of the most common lines of questioning from data scientists today goes something like this: “How do I know if my model is good? Should I just take R2 score? Should I take AUC? What does it mean for a given model to know if it’s good or not?”.
KDnuggets
NOVEMBER 7, 2019
In this tutorial, we show how to apply mathematical set operations (union, intersection, and difference) to Pandas DataFrames with the goal of easing the task of comparing the rows of two datasets.
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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