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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AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.
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.
O'Reilly on Data
SEPTEMBER 26, 2019
The O’Reilly Data Show Podcast: Arun Kejariwal and Ira Cohen on building large-scale, real-time solutions for anomaly detection and forecasting. In this episode of the Data Show , I speak with Arun Kejariwal of Facebook and Ira Cohen of Anodot (full disclosure: I’m an advisor to Anodot). This conversation stemmed from a recent online panel discussion we did, where we discussed time series data, and, specifically, anomaly detection and forecasting.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
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.
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.
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.
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.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
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.
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.
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.
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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The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.
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.
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.
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.
O'Reilly on Data
SEPTEMBER 25, 2019
Experts explore new trends, tools, and techniques in data and machine learning. See highlights from the Strata Data Conference in New York 2019 here. Continue reading Highlights from the Strata Data Conference in New York 2019.
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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.
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.
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
KDnuggets
SEPTEMBER 27, 2019
The article contains a brief introduction to various concepts related to Hierarchical clustering algorithm.
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.
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ZoomInfo customers aren’t just selling — they’re winning. Revenue teams using our Go-To-Market Intelligence platform grew pipeline by 32%, increased deal sizes by 40%, and booked 55% more meetings. Download this report to see what 11,000+ customers say about our Go-To-Market Intelligence platform and how it impacts their bottom line. The data speaks for itself!
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.
Dataiku
SEPTEMBER 26, 2019
Fostering an inclusive culture is critical to success (and employee fulfillment). Pride celebrations may be fun, but persistent support of queerness is critical.
KDnuggets
SEPTEMBER 25, 2019
This article covers the beta distribution, and explains it using baseball batting averages.
DataCamp
SEPTEMBER 26, 2019
DataCamp is partnering with Singapore to help 25,000 professionals and 100,000 students become data fluent.
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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.
Smart Data Collective
SEPTEMBER 24, 2019
Artificial intelligence has been the basis of robotics for several decades. However, early AI technology was not well-suited for solving the countless challenges robots needed to solve. Robots were often programmed with simple algorithms that were made in BASIC or Cobol. They couldn’t adapt, unless the programmers developed more sophisticated artificial intelligence programs to manage them.
Dataiku
SEPTEMBER 23, 2019
AI adoption requires a lot of cross-team engagement and collaboration, but the Return on Investment (ROI) is clear; according to PwC , AI has the potential to contribute $15.7 trillion to the global economy by 2030.
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.
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.
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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?
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