DataRobot Blog
JULY 9, 2019
by Jen Underwood. To retain market leadership in the algorithm economy, enterprises require new ways to maximize the value of data and AI with citizen data scientists. Don’t think citizen data science is. Read More.
datapine
JULY 11, 2019
The rise of innovative, interactive, data-driven dashboard tools has made creating effective dashboards – like the one featured above – swift, simple, and accessible to today’s forward-thinking businesses. In the digital age, there’s little need for a department of IT technicians, plus a qualified graphic designer, to create a dazzling data dashboard.
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Analytics Vidhya
JULY 10, 2019
Overview Presenting 21 open source tools for Machine Learning you might not have come across Each open-source tool here adds a different aspect to. The post 21 Must-Know Open Source Tools for Machine Learning you Probably Aren’t Using (but should!) appeared first on Analytics Vidhya.
Corinium
JULY 7, 2019
Drawing on over 30 years of experience, we caught up with our international keynote, Cary Correia, Chief Commercial Data Scientist, GE USA to share some golden nuggets on how to truly achieve a data-driven culture and become an intelligent enterprise. See how Cary’s teams worked towards a data driven culture, the use of proactive and reactive analytics, and facilitating the most significant steps to move from strategy to execution.
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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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.
Rocket-Powered Data Science
JULY 7, 2019
Career Relevance. Definitions of terminology frequently seen and used in discussions of emerging digital technologies. (NOTE: This page is a WIP = Work In Progress.). AGI (Artificial General Intelligence): AI (Artificial Intelligence): Application of Machine Learning algorithms to robotics and machines (including bots), focused on taking actions based on sensory inputs (data).
Domino Data Lab
JULY 9, 2019
Chris Wiggins , Chief Data Scientist at The New York Times, presented “Data Science at the New York Times” at Rev. Wiggins advocated that data scientists find problems that impact the business; re-frame the problem as a machine learning (ML) task; execute on the ML task; and communicate the results back to the business in an impactful way.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Smart Data Collective
JULY 9, 2019
Business success begins and ends with customer experience. According to recent studies, 90 percent of buyers would gladly spend more for a better customer experience. That’s exactly why understanding what an improved experience means for customers is so important. Companies have been able to perform more in-depth customer analysis—above and beyond social media commentary and feedback surveys—with the development and proliferation of analytics.
erwin
JULY 12, 2019
In light of recent, high-profile data breaches, it’s past-time we re-examined strategic data governance and its role in managing regulatory requirements. News broke earlier this week of British Airways being fined 183 million pounds – or $228 million – by the U.K. for alleged violations of the European Union’s General Data Protection Regulation (GDPR).
Domino Data Lab
JULY 10, 2019
Joshua Poduska provides a distilled overview of Ludwig including when to use Ludwig’s command-line syntax and when to use its Python API. Introduction. New tools are constantly being added to the deep learning ecosystem. It can be fun and informative to look for trends in the type of tools being created. For example, there have been multiple promising tools created recently that have Python APIs, are built on top of TensorFlow or PyTorch , and encapsulate deep learning best practices to allow d
Analytics Vidhya
JULY 8, 2019
Overview Using data science algorithms to generate art and music? These 8 AI projects will blow your mind Tap into your creative and artistic. The post 8 Simple and Unique Data Science Projects to Create Art, Generate Music and Much More! appeared first on Analytics Vidhya.
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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?
Cloudera
JULY 10, 2019
Open source has been core to the missions of both Hortonworks and Cloudera and central to our values and culture. With more than 700 engineers in the new Cloudera, our company writes a prodigious amount of open source code each year that’s contributed to more than 30 different open source projects. We’re also a very innovative open source company, having collectively launched more than a dozen new open source projects since the founding of the two companies. .
erwin
JULY 11, 2019
At a fundamental level, digital transformation is about further synthesizing an organization’s operations and technology, so involving business architecture and process modeling is a best practice organizations cannot ignore. This post outlines how business architecture and process modeling come together to facilitate efficient and successful digital transformation efforts.
Smart Data Collective
JULY 12, 2019
Do you remember what it was like trying to buy a house before the days of online listings? If you were born after about 1980, you probably never experienced that. The internet has catapulted the real estate industry into a world where people can buy houses site-unseen and sign the paperwork without ever meeting in person. And it’s only just beginning. 2019 has hailed in an incredible era of mobile-centric technology, automation, smart tools, and other electronic marvels that make real estate tra
Analytics Vidhya
JULY 7, 2019
Overview How can you build an effective and powerful data science resume that will win over recruiters? Here are 4 key aspects you should. The post How to Build an Effective Data Science Resume? 4 Key Aspects that Will Make or Break your Application appeared first on Analytics Vidhya.
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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.
Teradata
JULY 9, 2019
Integrated data and analytics has a proven track record of helping organize operations, enhance customer experience and improve revenue and market growth.
DataRobot
JULY 10, 2019
As machine learning and artificial intelligence (AI) usher in the Fourth Industrial Revolution, it seems like everyone wants to get in on the action. And who can blame them? AI promises improved accuracy, speed, scalability, personalization, consistency, and clarity in every area of business. With all those benefits, why are some businesses hesitating to move forward?
Data Science 101
JULY 8, 2019
Online courses are a great way to share knowledge with others; that is why I have decided to launch a few courses. The first course is Intro to Azure ML Studio – Regression. This is a smaller course and should take about 2 hours to complete. Azure ML Studio is a drag-and-drop interface for doing machine learning. Topics are all based upon Azure ML Studio, and they include: Linear Regression Linear Correlation Feature Selection Splitting Data Evaluating a model.
CIO Business Intelligence
JULY 8, 2019
Parcel delivery is a cutthroat business in the U.K., with margins of just pennies per parcel.
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.
Dataiku
JULY 11, 2019
The day prior to our EGG LDN 2019 conference , we’ve opened the doors of our UK office for a hackathon, providing participants with the opportunity to learn new skills, improve their knowledge of Dataiku, and work together on positive-impact projects.
Boris Evelson
JULY 11, 2019
I recently had a privilege (not to mention a lot of fun) to participate in a brainstorming session with a large enterprise software vendor and my esteemed colleagues John Rymer, Rob Koplowitz, and Jeffrey Hammond on the topic of low-code app dev. It’s not a well-known fact (but Forrester has been publicizing it for a […].
IBM Big Data Hub
JULY 12, 2019
Note: This blog post was authored by Aaron Baughman with Stephen Hammer, Eythan Holladay, Eduardo Morales and Gary Reiss. Wimbledon is one of the most prestigious major events in the world. With over 675 matches played and over 147,000 tennis points played, its size and scale are substantial. In fact, even if fans diligently watch their favorite players, they will miss a high proportion of the played points.
Smart Data Collective
JULY 11, 2019
It is no longer a secret that Big Data has left a major footprint on the financial market and has changed the way we interact with financial institutions. However, its influence goes much farther. Trading, which is an field that welcomes change and adopts disruptive innovations early, now also benefits from the ramifications of Big Data and is transforming to the benefit of both parties involved: traders and brokers.
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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.
Dataiku
JULY 10, 2019
Insurance fraud is a major issue that drives up healthcare costs for insurers, providers, taxpayers, and patients. The risk of unnecessary or nonexistent medical services due to misrepresentations by patients or providers is a costly one; in the U.S. the National Healthcare Anti-Fraud Association estimates that payers spend up to $68 billion a year due to fraud.
Sisense
JULY 8, 2019
Blog. Both automated reporting and business intelligence can help businesses perform better but in different ways. With automated reporting, organizations can simply produce reports faster and with less effort from business data without further analysis. Alternatively, using a BI solution can offer ease of use in exploring the data, as well as scalability in automating reports from those explorations seamlessly and rapidly.
Cloudera
JULY 9, 2019
Every business aims to deliver products and services quickly and efficiently based upon customer wants and needs. Today, much of that speed and efficiency relies on insights driven by big data. Yet big data management often serves as a stumbling block, because many businesses continue to struggle with how to best capture and analyze their data. Unorganized data presents another roadblock.
Smart Data Collective
JULY 10, 2019
Big data is changing the nature of healthcare. One of the biggest developments was the implementation of the Medical Information Mart for Intensive Care , which took data from 50,000 patients dating back to 2001. Big data will have an even more profound impact in the near future. More than 15,000 hospitals around the world collect real-time data on their patients.
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.
Jet Global
JULY 11, 2019
With major advances being made in artificial intelligence and machine learning, businesses are investing heavily in advanced analytics to get ahead of the competition and increase their bottom line. One of those areas is called predictive analytics, where companies extract information from existing data to determine buying patterns and forecast future trends.
IBM Big Data Hub
JULY 10, 2019
Note: This blog post was authored by Aaron Baughman with Stephen Hammer, Eythan Holladay, Eduardo Morales and Gary Reiss. Tennis during the Wimbledon Championships fortnight occurs on 18 courts with over 147,000 points contested. In many cases, fans watch one match at a time and catch up on the rest of the tournament by viewing preselected highlights that are generally about popular players.
Teradata
JULY 7, 2019
Learn the five key steps to minimize downtime and ensure a seamless analytics software upgrade.
Smart Data Collective
JULY 8, 2019
Companies around the world are looking for ways to minimize the costs of accidents. Many regulators have found that the number of accidents in various industries is grossly unacceptable and have started imposing new penalties. The good news is that new advances in big data have made it easier for them to look for ways to prevent these horrific problems.
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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