Corinium
SEPTEMBER 23, 2019
It might seem obvious that business decisions based on facts and data consistently deliver better results than those based on instinct or intuition. So, it should be no surprise that NewVantage Partners’ Big Data Executive Survey 2018 suggests that 99% of business leaders are trying to make their organizations more data-driven. What might be more surprising to some is that just a third of them are succeeding.
Smart Data Collective
SEPTEMBER 25, 2019
Data breaches are becoming more common in today’s society. Hackers know they can sell compromised information on the dark web or use it for purposes such as blackmail. However, encryption technology for data protection is widely available. It involves protecting information with cryptography via a scrambled code. Only people with the key to decode the data can read it.
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Bruno Aziza
SEPTEMBER 22, 2019
Today, as data has become a lifeblood of industry leading firms, competing on analytics has become an unquestioned mantra, and firms have anointed Chief Data Officers to occupy the C-Suite.
Smart Data Collective
SEPTEMBER 24, 2019
Big data is changing the world in a number of ways. Companies rely on data to deliver efficient services, but they also have to worry about cybersecurity risks. Towards Data Science provided a very detailed guide on the relevance of machine learning to hackers. Hackers use a number of different big data tools to orchestrate more severe attacks. As big data leads to new cybersecurity risks , a growing number of managers are falling victim.
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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
SEPTEMBER 24, 2019
Overview Google’s BERT has transformed the Natural Language Processing (NLP) landscape Learn what BERT is, how it works, the seismic impact it has made, The post Demystifying BERT: A Comprehensive Guide to the Groundbreaking NLP Framework appeared first on Analytics Vidhya.
Corinium
SEPTEMBER 26, 2019
Alternative data looks set to go mainstream. The term may have originally been used in reference to the non-traditional datasets hedge funds and investors use to get an edge on the markets. But the sheer variety of alternative datasets available today means its usage is quickly spreading to other industries and sectors.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
KDnuggets
SEPTEMBER 23, 2019
Our list of deep learning researchers and industry leaders are the people you should follow to stay current with this wildly expanding field in AI. From early practitioners and established academics to entrepreneurs and today’s top corporate influencers, this diverse group of individuals is leading the way into tomorrow’s deep learning landscape.
Analytics Vidhya
SEPTEMBER 22, 2019
Overview How do search engines like Google understand our queries and provide relevant results? Learn about the concept of information extraction We will apply. The post How Search Engines like Google Retrieve Results: Introduction to Information Extraction using Python and spaCy appeared first on Analytics Vidhya.
erwin
SEPTEMBER 26, 2019
The benefits of Data Vault automation from the more abstract – like improving data integrity – to the tangible – such as clearly identifiable savings in cost and time. So Seriously … You Should Automate Your Data Vault. By Danny Sandwell. Data Vault is a methodology for architecting and managing data warehouses in complex data environments where new data types and structures are constantly introduced.
Data Science 101
SEPTEMBER 24, 2019
A number of new impactful open source projects have been released lately. Open Source Data Science Projects. Pythia – from Facebook for deep learning with vision and language, “such as answering questions related to visual data and automatically generating image captions “ InterpretML – from Microsoft, ” package for training interpretable models and explaining blackbox systems “ ML framework for Julia – from Alan Turing Institute, MLJ is a machine learni
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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.
KDnuggets
SEPTEMBER 24, 2019
Deep Learning is/has become the hottest skill in Data Science at the moment. There is a plethora of articles, courses, technologies, influencers and resources that we can leverage to gain the Deep Learning skills.
Analytics Vidhya
SEPTEMBER 25, 2019
Do we need to change the way we learn? Before you read any further, here is a sneak peak of our new experiential learning. The post Introducing “PocketML” – an Experiential Learning Platform for Data Science appeared first on Analytics Vidhya.
Sisense
SEPTEMBER 23, 2019
Blog. The API layer of any application is one of the most crucial software components. It is the channel which connects client to server (or one microservice to another), drives business processes, and provides the services which give value to users. A customer-facing public API that is exposed to end-users becomes a product in itself. If it breaks, it puts at risk, not just a single application, but an entire chain of business processes built around it.
Data Science 101
SEPTEMBER 26, 2019
I am putting together some of my own resources on Data Strategy. Here are a few of the top resources I found helpful so far. What is a Data Strategy? – various definitions of a data strategy The 5 essential Components of a Data Strategy – a detailed whitepaper(PDF) from SAS How to Create a Successful Data Strategy – a detailed report from MIT How Do You Develop a Data Strategy (including 6 steps) – by Bernard Marr, He has created more data strategies than anyone, so his a
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.
KDnuggets
SEPTEMBER 23, 2019
We show, step-by-step, how to construct a single, generalized, utility function to pull images automatically from a directory and train a convolutional neural net model.
Analytics Vidhya
SEPTEMBER 23, 2019
Introduction TensorFlow is easily the most widely used deep learning framework right now. The idea behind TensorFlow (TF) has even spawned multiple products, such. The post DataHack Radio: All you Need to Know about TensorFlow with Google’s Paige Bailey appeared first on Analytics Vidhya.
Smart Data Collective
SEPTEMBER 26, 2019
Traditionally, the world of investing was bland and exclusive. Investment vehicles were not very different from one another and minimum capital requirements meant that even this was reserved for the few who had the means. Most ordinary people had to settle for a savings account at their local bank while some even opted to simply put their savings under their mattress.
IBM Big Data Hub
SEPTEMBER 25, 2019
AutoAI, a powerful automated AI development capability in IBM Watson Studio, won the Best Innovation in Intelligent Automation Award, chosen by a panel of 13 independent judges yesterday for the AIconics AI Summit in San Francisco.
Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin
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.
KDnuggets
SEPTEMBER 24, 2019
How can you keep your machine learning models and data organized so you can collaborate effectively? Discover this new tool set available for better version control designed for the data scientist workflow.
Paul Blogs on BI
SEPTEMBER 24, 2019
Twenty-five years ago on July 13, 1994 I went to see the legendary band, The Eagles, play at the old Tiger Stadium in Detroit. The Tour was called the Hell Freezes Over Tour, since the band had broken up many years before they said they would only ever play together again when hell freezes over! This was also one of the last events to be held at the old Detroit Tigers baseball stadium, since it was about to be demolished and replaced with a new stadium.
Smart Data Collective
SEPTEMBER 26, 2019
The big data market is expected to be worth $189 billion by the end of this year. This is over a 50% increase in just four years. A number of factors are driving growth in big data. Demand for big data is part of the reason for the growth, but the fact that big data technology is evolving is another. New software is making big data more viable than ever.
Depict Data Studio
SEPTEMBER 26, 2019
Kathy Dowell has been a program evaluator for more than 25 years and is currently an evaluator at The Evaluation Group ( www.evaluationgroup.com ). She has long been passionate about creating data visualizations that are easy to understand, tell a story, and help stakeholders make informed decisions. I’ve been so glad to have Kathy in my online training program for the past year.
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.
KDnuggets
SEPTEMBER 26, 2019
Learn about the the current and future issues of data science and possible solutions from this interview with IADSS Co-founder, Dr. Usama Fayyad following his keynote speech at ODSC Boston 2019.
DataCamp
SEPTEMBER 26, 2019
DataCamp is partnering with Singapore to help 25,000 professionals and 100,000 students become data fluent.
Smart Data Collective
SEPTEMBER 25, 2019
Big data has been billed as being the future of business for quite some time. However, the future is now. Analysts have found that the market for big data jobs increased 23% between 2014 and 2019. The market for Hadoop jobs increased 58% in that timeframe. The impact of big data is felt across all sectors of the economy. It provides very lucrative employment opportunities to talented workers.
IBM Big Data Hub
SEPTEMBER 23, 2019
In my last blog post , I explained why businesses need product information management (PIM ). I will now dive deeper into the key factors an organization must take into consideration when evaluating a PIM solution.
Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage
Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.
KDnuggets
SEPTEMBER 25, 2019
As a data scientist, you can get lost in your daily dives into the data. Consider this advice to be certain to follow in your work for being diligent and more impactful for your organization.
MLWhiz
SEPTEMBER 25, 2019
Creating a great machine learning system is an art. There are a lot of things to consider while building a great machine learning system. But often it happens that we as data scientists only worry about certain parts of the project. Most of the time that happens to be modeling, but in reality, the success or failure of a Machine Learning project depends on a lot of other factors.
Smart Data Collective
SEPTEMBER 26, 2019
There are many ways that big data is being utilized in marketing. We have talked extensively about the use of big data in digital marketing, but it can very useful in traditional marketing strategies as well. One study from Forbes found that 55% of companies have used big data analytics. However, there are other big data applications that they have overlooked.
IBM Big Data Hub
SEPTEMBER 24, 2019
68 percent of surveyed businesses recently responded that they use machine learning (ML) or plan to do so in the next three years. AI technologies rapidly are becoming how businesses distinguish themselves from competitors. But choosing the best way to implement AI isn’t always a straightforward process.
Speaker: Jesse Simms, VP at Giant Partners
This new, thought-provoking webinar will explore how even incremental efforts and investments in your data can have a tremendous impact on your direct mail and multi-channel marketing campaign results! Industry expert Jesse Simms, VP at Giant Partners, will share real-life case studies and best practices from client direct mail and digital campaigns where data modeling strategies pinpointed audience members, increasing their propensity to respond – and buy.
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