bridgei2i
FEBRUARY 10, 2020
“The Answer to the Great Question… Of Life, the Universe and Everything… Is… Forty-two,’ said Deep Thought, with infinite majesty and calm.” There’s absolutely no doubt that Douglas Adams had a whale of a time when he wrote the intergalactic adventure that is ‘The Hitchhiker’s Guide to the Galaxy,’ but little did he imagine the metaphors that would spring into being basis this epic voyage across the universes.
Corinium
FEBRUARY 14, 2020
With research showing that data literate enterprises are worth AUD $400-700 million more on average than their rivals, it’s time for data leaders to consider how they can release the value ‘trapped’ within their organisations. If a person can’t read or write, simple, everyday tasks become impossible. Imagine an employee trying to check their emails, schedule a meeting or edit a document without these essential skills.
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Dataiku
FEBRUARY 10, 2020
This blog post is part of a series of guest publications by Excelion Partners. Check out their blog and read about their projects here. Your data team is typically comprised of individuals from different backgrounds, with a variety of experience, skill, and knowledge levels, as related to data science and artificial intelligence. This makes communication and collaboration absolutely imperative to a successful data science project.
Analytics Vidhya
FEBRUARY 13, 2020
What is the difference between loc and iloc in Pandas? Put this down as one of the most common questions you’ll hear from Python. The post How to use loc and iloc for Selecting Data in Pandas (with Python code!) appeared first on Analytics Vidhya.
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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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.
O'Reilly on Data
FEBRUARY 11, 2020
We suspected that data quality was a topic brimming with interest. Those suspicions were confirmed when we quickly received more than 1,900 responses to our mid-November survey request. The responses show a surfeit of concerns around data quality and some uncertainty about how best to address those concerns. Key survey results: The C-suite is engaged with data quality.
Corinium
FEBRUARY 13, 2020
How the role of the CDAO is changing, data culture is spreading and organisations are scaling data-driven capabilities dominated the agenda at this year’s conference. Corinium’s 2020 Chief Data & Analytics Officers UK conference revealed how CDAOs, data teams and organisations are evolving to scale data capabilities and drive ROI more efficiently.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Analytics Vidhya
FEBRUARY 12, 2020
How many boosting algorithms do you know? Can you name at least two boosting algorithms in machine learning? Boosting algorithms have been around for. The post 4 Boosting Algorithms You Should Know – GBM, XGBM, XGBoost & CatBoost appeared first on Analytics Vidhya.
Domino Data Lab
FEBRUARY 12, 2020
Dean Wampler provides a distilled overview of Ray, an open source system for scaling Python systems from single machines to large clusters. If you are interested in additional insights, register for the upcoming Ray Summit. Introduction. This post is for people making technology decisions, by which I mean data science team leads, architects, dev team leads, even managers who are involved in strategic decisions about the technology used in their organizations.
Corinium
FEBRUARY 10, 2020
Ahead of this week’s Chief Data & Analytics Officers UK conference, Denodo’s Paul Moxon, Hitachi Vantara’s Gwyn Evans and Dataiku’s Nadim Antar give their top predictions for the UK’s data and analytics industry in 2020. More than 200 data and analytics leaders will get a taste of what the future has in store for them when they descend on London for Corinium’s Chief Data & Analytics Officers UK conference this week.
erwin
FEBRUARY 13, 2020
When an organization’s data governance and metadata management programs work in harmony, then everything is easier. Data governance is a complex but critical practice. There’s always more data to handle, much of it unstructured; more data sources, like IoT, more points of integration, and more regulatory compliance requirements. Creating and sustaining an enterprise-wide view of and easy access to underlying metadata is also a tall order.
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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?
Analytics Vidhya
FEBRUARY 11, 2020
Introduction Have you ever struggled to improve your rank in a machine learning hackathon on DataHack or Kaggle? You’ve tried all your favorite hacks. The post What is Bootstrap Sampling in Statistics and Machine Learning? appeared first on Analytics Vidhya.
Smart Data Collective
FEBRUARY 13, 2020
Big data is changing the way we live in countless ways. We usually talk about the massive technological advances that AI and other big data technologies have brought to large companies. However, developments in data technology have also led to some important improvements for everyday consumers. One of the biggest benefits of big data is that it saves time.
Corinium
FEBRUARY 12, 2020
How Asia Pacific’s Business Leaders Can Unlock the Full Potential of Data & Analytics. Data literacy levels in Asia Pacific are startlingly low, with just 20% of workers saying they’re confident in their fluency with data; digital transformation strategies are frequently falling well short of their true potential. CDAOs have long experienced the disconnect between the language of data and the business.
FineReport
FEBRUARY 10, 2020
Why We Need a Management Dashboard? “Pilots’ instincts are often wrong in bad weather and climates. Therefore, in-flight, trust our dashboard.” ——From “The Financial Report is Like a Story Book” by Liu Shunren, a professor at Taiwan University. The management dashboard is a “one-step” decision support management information center system for executives.
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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.
Analytics Vidhya
FEBRUARY 14, 2020
What’s the best Business Intelligence and Analytics tool in the market? A plethora of data science and business intelligence professionals and organizations have asked. The post Gartner’s 2020 Magic Quadrant is Out! Check out the latest developments in Best Analytics Tools appeared first on Analytics Vidhya.
DataRobot
FEBRUARY 11, 2020
I’m starting the decade with a new adventure as DataRobot’s President and COO.
Corinium
FEBRUARY 10, 2020
Customer loyalty can help drive the success of a business, and the customer experience (CX) drives loyalty. The data is clear: 74% of customers feel loyal to a particular brand or company. 52% of customers report going out of their way to buy from their favorite brands. But loyalty must be cultivated and maintained—and without the right care, it’s easily lost.
Smart Data Collective
FEBRUARY 14, 2020
Big data is a great asset for countless people all over the world. A growing number of companies are relying on data to deliver more value for their customers. One report shows the market for big data could reach $103 billion in the next seven years. Unfortunately, big data comes with a price. It can compromise our privacy, as more and more people can get access to it.
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.
Analytics Vidhya
FEBRUARY 13, 2020
Overview This article dives into the key question – is class sensitivity in a classification problem model-dependent? The authors analyze four popular deep learning. The post Is Class Sensitivity Model Dependent? Analyzing 4 Popular Deep Learning Architectures appeared first on Analytics Vidhya.
DataRobot
FEBRUARY 13, 2020
We are excited to announce the first round of program participants in AI for Good: Powered by DataRobot. Welcome Kiva International, DonorsChoose, University of California San Francisco’s Brain and Spinal Injury Center, Anacostia Riverkeeper, and Medical Faculty Mannheim - Heidelberg University to the DataRobot family! We look forward to providing updates on their AI-driven humanitarian use cases throughout the year.
IBM Big Data Hub
FEBRUARY 12, 2020
Data breaches have far reaching consequences. They pose a significant financial cost in lost business, fines, and remediation, often averaging 3.92 million USD according to a study by the Ponemon Institute.
Smart Data Collective
FEBRUARY 10, 2020
I still remember my college days. Technology was more readily available than ever, but big data was not a thing yet. Students were not using big data to assist with their learning goals. Today, big data is vital to the learning process. A number of companies have been built solely to create big data platforms for students. Business leaders are constantly trying to come up with new ideas on how to make life simpler.
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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.
Analytics Vidhya
FEBRUARY 10, 2020
Overview Convolutional neural networks (CNNs) are all the rage in the deep learning and computer vision community How does this CNN architecture work? We’ll. The post Demystifying the Mathematics Behind Convolutional Neural Networks (CNNs) appeared first on Analytics Vidhya.
FineReport
FEBRUARY 12, 2020
The design of reports can be considered from two aspects: layout and system. You may have seen many articles emphasize how to improve the layout of the report. Today, let’s learn the report designing from the perspective of the report system. No matter what type of report you’re designing, with the guidelines below, your report will catch your boss’s eyes. . 1.The Basics of Report Designing .
Alation
FEBRUARY 13, 2020
Modern organizations are always looking for a competitive edge in this rapidly changing era of digital transformations. With research showing that a more diverse team leads to increased revenue, “diversity and inclusion” is on every company’s agenda. Despite this fact, it’s been no secret that tech companies regularly fall below the national average when it comes to diversity of race, gender, and educational background.
IBM Big Data Hub
FEBRUARY 12, 2020
This story is part of Analytics Heroes , a series of profiles on leaders transforming the future of business analytics.
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.
Analytics Vidhya
FEBRUARY 9, 2020
Introduction Scikit-learn is one Python library we all inevitably turn to when we’re building machine learning models. I’ve built countless models using this wonderful. The post Everything you Need to Know About Scikit-Learn’s Latest Update (with Python Implementation) appeared first on Analytics Vidhya.
DataRobot
FEBRUARY 12, 2020
Predictive models learn patterns in training data and use that information to predict target values for new data. There are two data sets at play in this process, the training data and the scoring or inference data. The model will work well in production (i.e., produce accurate predictions in line with expectations) when the new inference data is similar to the training data.
Sisense
FEBRUARY 14, 2020
Blog. Data can change the world, really. In Humanizing Data, we spotlight how organizations are using data to help build a better world. We explore the journey they took, the people they affected, and the change they drove. Recent coverage of the Indiana Donor Network showcased the amazing story around how data and technology is helping in an unexpected way: it’s saving more lives.
Alation
FEBRUARY 13, 2020
Incentive Trips: These two words provoke vastly different feelings from different people. Traditionally, incentive trips were exclusively for sales people and executives. They would go to an exotic locale, get a little bit of sun, and celebrate their big wins. Incentive trips were a reward for being top sellers and leading the company. Simple enough.
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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