Sat.Sep 21, 2019 - Fri.Sep 27, 2019

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How to Become a Data-Driven Organization

Corinium

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.

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7 Advantages of Using Encryption Technology for Data Protection

Smart Data Collective

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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A Long View on How Big Data and AI Have Transformed Business Culture

Bruno Aziza

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.

Big Data 109
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7 Disastrous Cybersecurity Mistakes In A Big Data World

Smart Data Collective

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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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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Demystifying BERT: A Comprehensive Guide to the Groundbreaking NLP Framework

Analytics Vidhya

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.

Analytics 302
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The $7 billion Alternative Data Explosion

Corinium

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.

Marketing 150

More Trending

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12 Deep Learning Researchers and Leaders

KDnuggets

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.

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How Search Engines like Google Retrieve Results: Introduction to Information Extraction using Python and spaCy

Analytics Vidhya

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.

Analytics 302
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Benefits of Data Vault Automation

erwin

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.

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Open Source Data Science Projects 2019

Data Science 101

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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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

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5 Famous Deep Learning Courses/Schools of 2019

KDnuggets

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.

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DataHack Radio: All you Need to Know about TensorFlow with Google’s Paige Bailey

Analytics Vidhya

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.

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Big Data’s Impact On Investing And The Finance World

Smart Data Collective

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.

Finance 81
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5 great Data Strategy Resources

Data Science 101

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

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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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A Single Function to Streamline Image Classification with Keras

KDnuggets

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.

Modeling 117
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Introducing “PocketML” – an Experiential Learning Platform for Data Science

Analytics Vidhya

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.

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New Software Development Initiatives Lead To Second Stage Of Big Data

Smart Data Collective

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.

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AutoAI wins AIconics Intelligent Automation Award: Meet a key inventor

IBM Big Data Hub

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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Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity

Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO

The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.

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Automatic Version Control for Data Scientists

KDnuggets

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.

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The BusinessObjects Hell Freezes Over Tour

Paul Blogs on BI

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.

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Big Data Makes Custom Decals More Useful Marketing Tools

Smart Data Collective

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.

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Three Ways Intentional Data Viz Has Elevated My Work

Depict Data Studio

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.

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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The Future of Analytics and Data Science

KDnuggets

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.

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7 capabilities for a successful product information management solution

IBM Big Data Hub

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.

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Empirically Proven Data Collection Tactics for Web Administrators

Smart Data Collective

Big data is playing a more essential role in website administration than ever before. TechRepublic points out that it is important for content management. However, it is also ideal for user experience optimization, marketing and much more. The market for big data is growing 41% over the next few years. This is largely due to the need for big data in website management and marketing, as well as advances in AI.

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Singapore is using DataCamp to create an AI-fluent nation

DataCamp

DataCamp is partnering with Singapore to help 25,000 professionals and 100,000 students become data fluent.

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Monetizing Analytics Features

Think your customers will pay more for data visualizations in your application? Five years ago, they may have. But today, dashboards and visualizations have become table stakes. Turning analytics into a source of revenue means integrating advanced features in unique, hard-to-steal ways. Download this white paper to discover which features will differentiate your application and maximize the ROI of your analytics.

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6 bits of advice for Data Scientists

KDnuggets

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.

Metrics 104
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6 Important Steps to build a Machine Learning System

MLWhiz

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.

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Why College Robotics Clubs Need To Start Embracing Machine Learning

Smart Data Collective

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.

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See where you land on 451 Research's spectrum of AI use cases for data management

IBM Big Data Hub

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.

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The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data and AI

Speaker: Aindra Misra, Sr. Staff Product Manager of Data & AI at BILL (Previously PM Lead at Twitter/X)

Embark on a transformation journey into the heart of the data ecosystem! This webinar is your gateway to a deeper comprehension of the foundations that drive the data industry and will equip you with the knowledge needed to navigate the evolving landscape. Delve into the diverse use cases where data analytics plays a pivotal role. We’ll explore how these applications are transforming with the introduction of Gen AI, and discuss the anticipated use cases for 2024 and beyond.