datapine

NOVEMBER 19, 2019

The modern world is changing more and more quickly with each passing year. If you don’t pay attention to new changes or keep up the pace, it’s easy to fall behind the times (and the market) while other companies beat you to the punch. The solution? To keep abreast of current changes – at least at a level of basic understanding. Adding to that, if you can’t understand the buzzwords others are using in conversation, it’s much harder to look smart while participating in that conversation.

Technology 279

Technology Internet of Things IT IoT 279

Smart Data Collective

NOVEMBER 21, 2019

Big data is transforming the daily realities of running a business. Companies can use big data to handle certain tasks more quickly and cost-effectively than ever. Vince Campisi, CIO of GE Software, Ash Gupta, an executive with American Express, and many other companies use big data to get a competitive advantage. Of course, big data also raises some new challenges.

Big Data 108

Big Data Sales Cost-Benefit Marketing 108

Corinium

NOVEMBER 20, 2019

Cultural change does not happen overnight.

Data-driven 170

Data-driven Data Strategy Strategy 170

Analytics Vidhya

NOVEMBER 18, 2019

Overview Here’s a quick introduction to building machine learning pipelines using PySpark The ability to build these machine learning pipelines is a must-have skill. The post Want to Build Machine Learning Pipelines? A Quick Introduction using PySpark appeared first on Analytics Vidhya.

Machine Learning 302

Machine Learning Analytics Big Data 302

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Experimentation

O'Reilly on Data

NOVEMBER 18, 2019

In this interview from O’Reilly Foo Camp 2019, Hands-On Unsupervised Learning Using Python author Ankur Patel discusses the challenges and opportunities in making machine learning and AI accessible and financially viable for enterprise applications. Highlights from the interview include: The biggest hurdle businesses face when implementing machine learning or AI solutions is cleaning and preparing unstructured data that exists across silos.

ROI 132

ROI Unstructured Data Machine Learning Modeling 132

datapine

NOVEMBER 19, 2019

In this day and age, we’re all constantly hearing the terms “big data”, “data scientist”, and “in-memory analytics” being thrown around. Almost all the major software companies are continuously making use of the leading Business Intelligence (BI) and Data discovery tools available in the market to take their brand forward. Efficient tactics can be created along with a better overall decision-making process within an organization with the help of social and collaborative business intelligence too

Business Intelligence 146

Business Intelligence Knowledge Discovery Dashboards Software 146

Analytics Vidhya

NOVEMBER 19, 2019

Overview The attention mechanism has changed the way we work with deep learning algorithms Fields like Natural Language Processing (NLP) and even Computer Vision. The post A Comprehensive Guide to Attention Mechanism in Deep Learning for Everyone appeared first on Analytics Vidhya.

Deep Learning 287

Deep Learning Analytics Modeling 287

KDnuggets

NOVEMBER 22, 2019

To demonstrate the implementation complexity differences along the AutoML highway, let's have a look at how 3 specific software projects approach the implementation of just such an AutoML "solution," namely Keras Tuner, AutoKeras, and automl-gs.

Machine Learning 119

Machine Learning Software 119

IBM Big Data Hub

NOVEMBER 22, 2019

Haruto Sakamoto, the Chief Information Officer at a Japanese multinational imaging company, had a few challenges to contend with. His business units had a presence in 180 countries worldwide with geographically-dispersed data warehouses and business intelligence applications in various locations.

Data Lake 93

Data Lake Data Warehouse Business Intelligence Analytics 93

Corinium

NOVEMBER 19, 2019

How are you creating a better-integrated security ecosystem in your organisation? My recipe to create an integrated ecosystem is to merge technology (operational and infrastructure) with business value(process) and culture(people). The internal ecosystem must be complimented with external partnerships and we need to start working together to redefine our end goal and purpose as a security professional.

Risk 150

Risk IT Technology 150

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

Management

Data Science 101

NOVEMBER 18, 2019

After receiving some interest, I have decided to open up the posting more to the data science community. There are more details on the Contribute Page. If there is enough interest, I will be posting community contributed posts on Wednesdays and sponsored posts on Thursdays. What is the difference? Community contributed posts are free and are intended for individuals.

Data Science 93

Data Science Statistics 93

KDnuggets

NOVEMBER 22, 2019

If you are a new Data Scientists early in your professional journey, and you’re a bit confused and lost, then follow this advice to figure out how to best contribute to your company.

111

111

IBM Big Data Hub

NOVEMBER 22, 2019

The number of business segments requiring data to drive contextual insights is increasing. Leaders are seeking new ways to manage the pressures of delivering high-quality data faster across their businesses. To date, many of these projects have focused solely on ingesting data into a data lake which has led to repositories of uncleansed and ungoverned data.

Data Lake 88

Data Lake Management 88

Corinium

NOVEMBER 19, 2019

How are you dealing with growing spectre of privacy regulations? By implementing an ongoing program with a multi-pronged approach involving business (as a first line of defence), Data Protection, Cyber and Information Security and Operational Risk to ensure that we meet the requirements from a regulatory as well as from a best practice standards point of view.

Risk 150

Risk 150

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.

Testing

Juice Analytics

NOVEMBER 18, 2019

Our office Wheel of Destiny is the most actionable of data. The results tell you where to go to lunch. No questions asked. Actionable. Is there an adjective that is more fun to put in front of the word data ? Perhaps big. I’m as guilty as anyone. After all, the third step in our data storytelling framework is Action. But what types of actions are we talking about?

Snapshot 90

Snapshot Visualization Optimization Marketing 90

KDnuggets

NOVEMBER 21, 2019

This tutorial will take you through two options that have automated the geocoding process for the user using Python, Selenium and Google Geocoding API.

116

116

IBM Big Data Hub

NOVEMBER 22, 2019

Learn how marine solution provider James Fisher and Sons plc and the IBM Data Science and AI Elite team surge towards a renewable tomorrow with the electrifying power of data visualization built on IBM Watson Studio.

Visualization 88

Visualization Data Science 88

Corinium

NOVEMBER 19, 2019

How are you strategically allocating your budget/resources to deal with the growing scourge of hacks and data breaches? Spend has to be against your business appetite and not against every threat. We will never have enough money to close all the gaps. Investment is channelled towards quick detection and skilled teams to eradicate the breach.

IT 150

IT 150

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IT

Andrew White

NOVEMBER 22, 2019

Calling Chief Data Officers – or equivalents like had of analytics/CAOs, head of data and analytics, etc. Add your voice to the Gartner 5th Annual Chief Data Officer (CDO) Study! Free report for participating execs. Click here to complete the survey. Please ensure you have set aside enough time to complete the survey – 20 minutes to avoid losing your valuable work.

Reporting 76

Reporting Analytics 76

KDnuggets

NOVEMBER 19, 2019

This post will be dedicated to explaining the maths behind Bayes Theorem, when its application makes sense, and its differences with Maximum Likelihood.

IT 110

IT 110

IBM Big Data Hub

NOVEMBER 18, 2019

Segmentation, targeting, positioning – how does an organization optimize these strategic approaches in the context of retention? Which factors should the segmentation take into consideration? This is where good information management and analytics come into play. Explore IBM’s solutions today: Modernization of your information architecture and Advanced Analytics.

Marketing 90

Marketing Analytics Optimization Management 90

Corinium

NOVEMBER 18, 2019

In the run-up to CISO Africa 2020 I had the great pleasure to sit down with Itumeleng Makgati, the new Group CISO with SASOL, to talk about careers, strategic vision, and thoughts on "hacktivism".

150

150

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.

Customer Analytics

FineReport

NOVEMBER 18, 2019

How Dynamic Charts Work? Made by FineReport. The above picture is a dashboard made by FineReport that contains dynamic charts. By clicking the corresponding position of the pie chart, you can display the data of the specific area, which is more interactive. Let’s compare the data presented by Excel. Is it suddenly monotonous and cold? This is the most intuitive experience that dynamic charts can bring.

Visualization 81

Visualization Dashboards Reporting Sales 81

KDnuggets

NOVEMBER 22, 2019

We will focus here exactly on that part of the analysis that transforms words into numbers and texts into number vectors: text encoding.

Analytics 116

Analytics 116

Teradata

NOVEMBER 19, 2019

How do you ensure your Customer Data Platform is enabling breakthrough customer experience business outcomes, rather than hindering them? Find out more!

84

84

Corinium

NOVEMBER 18, 2019

In the run-up to CISO Africa 2020 I had the great pleasure to sit down with Sandro Bucchianeri, the Group Chief Security Officer with Absa to talk about security culture, communicating to the board and handling internal threats.

150

150

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

Risk

erwin

NOVEMBER 21, 2019

As enterprise architectures become more complex, enterprise architecture tools are becoming more important than ever. The International Enterprise Architecture Institute (IEAI) defines enterprise architecture (EA) as “the analysis and documentation of an enterprise in its current and future states from an integrated strategy, business and technology perspective.”.

Enterprise 77

Enterprise Data-driven Data Governance Digital Transformation 77

KDnuggets

NOVEMBER 21, 2019

This blog shows how text data representations can be used to build a classifier to predict a developer’s deep learning framework of choice based on the code that they wrote, via examples of TensorFlow and PyTorch projects.

Deep Learning 98

Deep Learning 98

IBM Big Data Hub

NOVEMBER 20, 2019

In this blog post, we’ll share real-world stories of how decision optimization technology delivers prescriptive analytics capabilities and opens the door to operational efficiency. We will also introduce you to the IBM data science and AI platform solutions that can deliver operational efficiency that satisfies the business.

Optimization 76

Optimization Prescriptive Analytics Technology Data Science 76

Corinium

NOVEMBER 19, 2019

1. How are you strategically allocating your budget/resources to deal with the growing scourge of hacks and data breaches?

150

150

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Strategy