Corinium

OCTOBER 1, 2019

‘Ethics’, ‘strategy’ and ‘collaboration’ were the words on everyone’s lips when 115 data and analytics leaders descended on Berlin for CDAO Europe 2019 last week.

Strategy 191

Strategy Analytics Data Architecture Data Strategy 191

KDnuggets

OCTOBER 1, 2019

Data science education in Europe has been reevaluated and new recommendations are leading the way to the next generation of data science Master's courses to better support and train students.

Data Science 119

Data Science Analytics 119

Corinium

OCTOBER 1, 2019

What are you going to present at Verify 2019? I am looking at the affect we have when we can identify everybody. Does that makes people safer or less safe, particularly vulnerable people? This is a little bit of an unusual topic for an identity conference, but it is an important question that I think will be very interesting.

IT 150

IT 150

DataCamp

OCTOBER 1, 2019

This cheat sheet guides you through the basics of how data science can help your business, including building your data science team and the common steps in the data science workflow.

Data Science 111

Data Science 111

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

KDnuggets

OCTOBER 1, 2019

There are three types of emotion AI, and their combinations. In this article, I’ll briefly go through these three types and the challenges of their real-life applications.

91

91

Smart Data Collective

OCTOBER 1, 2019

What exactly is artificial intelligence (AI) and what business does it have in higher education? Simply put, AI is an attempt to emulate human knowledge by programming extensive rules into computers. Through machine learning and expert systems, machines can produce patterns within mass flows of data and pinpoint correlations that couldn’t possibly be immediately intuitive to humans.

Big Data 85

Big Data Machine Learning Risk Interactive 85

TDAN

OCTOBER 1, 2019

Is there a difference between open data and public data? Yes. And it’s a big one. There is a general consensus that when we talk about open data, we are referring to any piece of data or content that is free to access, use, reuse, and redistribute. Due to the way most governments have rolled out […].

Data Architecture 80

Data Architecture Data Strategy Big Data Strategy 80

IBM Big Data Hub

OCTOBER 1, 2019

IBM Watson Studio Premium for Cloud Pak for Data includes IBM Decision Optimization, SPSS Modeler and more. Read why you need this for your data. .

ROI 87

ROI Optimization Modeling 87

TDAN

OCTOBER 1, 2019

Become a “Data-First” Company The organizations that invest in data first and foremost are changing the business landscape. Apple had famously reached a trillion dollar valuation on August 2, 2018, and analysts predicted that Amazon wasn’t far behind. The race to a trillion mimics the 4 minute mile; as soon as one person breaks it, […].

Management 68

Management Data Quality Data Lake IT 68

Jen Stirrup

OCTOBER 1, 2019

People don’t like change, and they don’t like to be changed. That’s what makes Digital Transformation so challenging. Digital Transformation is one of the key topics at Future Decoded, where I’m working as an analyst this week. The Day 1 event is aimed to help visitors learn about the cutting-edge technologies that are shaping the modern workplace across industries.

Digital Transformation 44

Digital Transformation Software Big Data Technology 44

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

TDAN

OCTOBER 1, 2019

There is a movement to upend traditional thinking about information systems by putting data and meaning at the center of strategy, architecture, and system development sequencing. Establishing a complete data-centric paradigm will require foundational principles which underscore the clear break with application-centric thinking, and which establish common ground on the unresolved issues inherited from the […].

Strategy 56

Strategy Data Architecture Data Governance Data Strategy 56

DataRobot

OCTOBER 1, 2019

This blog is meant to be a fun and unique take on predicting the 2019 MLB World Series winner.

Analytics 40

Analytics 40

TDAN

OCTOBER 1, 2019

One could argue it has become cliché to make references to the enormous significance and proliferation of data globally. It is broadly agreed that the size of the digital universe doubles every two years at minimum. Human and machine generated data is increasing even more rapidly at 10x that of traditional business data [1]. By […].

Data Governance 45

Data Governance IT Data Strategy Business Intelligence 45

Nutanix

OCTOBER 1, 2019

There’s no question that enterprise application usability has for the most part been left behind.

Enterprise 20

Enterprise 20

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

TDAN

OCTOBER 1, 2019

Dr. McNair is the primary author of the Ability series. The book RelateAbility will help you build better relationships, and AdaptAbility will help you better adjust to new conditions and situations. Wade’s latest book, LeadAbility: Transforming the Way We Live and Work Together, will help you become a better leader. I like that LeadAbility is […].

Business Intelligence 40

Business Intelligence Big Data Management 40

Peter James Thomas

OCTOBER 1, 2019

Introduction. The recent update of The Data & Analytics Dictionary featured an entry on Charts. Entries in The Dictionary are intended to be relatively brief [1] and also the layout does not allow for many illustrations. Given this, I have used The Dictionary entries as a basis for this slightly expanded article on the subject of chart types. A Chart is a way to organise and Visualise Data with the general objective of making it easier to understand and – in particular – to disc

Sales 61

Sales Measurement Statistics Data Architecture 61

TDAN

OCTOBER 1, 2019

IoT has a lot more to offer than merely establishing connections between systems and devices. We are in the digital age that Hollywood once fancied with sophisticated connected devices and technologies surfacing day after day. IoT is paving ways for new services and products, which were just a figment of our imagination up until a […].

IoT 40

IoT Internet of Things Technology Data Architecture 40

Jet Global

OCTOBER 1, 2019

Cari Weston, CPA, CGMA, is the Director of Taxation at the Association of International Certified Public Accountants (AICPA). In her role, she hosts webinars, gives lectures, publishes articles, and provides thought leadership on all subjects related to taxation and modern accounting. In this condensed and edited interview, we spoke with Weston about the changing face of accounting and what it takes to adapt.

Technology 40

Technology Data-driven Data Processing Finance 40

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Depict Data Studio

OCTOBER 1, 2019

Condensing Many Data Elements into an At-a-Glance Directory Using Symbols, Reference Codes and Colors . Some time ago, I worked on an overseas assignment with a United Nations agency. My task was to develop a national directory of organizations working on sexual and reproductive health for one of the agency’s country offices. The idea was to develop a “5W” mapping—a who, what, when, where and for whom for the those working on SRH in the health sector.

Visualization 45

Visualization Interactive Reporting Dashboards 45

Jet Global

OCTOBER 1, 2019

With major advances being made in artificial intelligence and machine learning, businesses are investing heavily in advanced analytics to get ahead of the competition and increase their bottom line. One of those areas is called predictive analytics, where companies extract information from existing data to determine buying patterns and forecast future trends.

Business Intelligence 40

Business Intelligence Forecasting Predictive Analytics Data Warehouse 40

Darkhorse

OCTOBER 1, 2019

This is part one of a two-part series on building effective visualizations. In this post, we take a shallow dive into evaluating existing visualizations. In the next post, we’ll dive a little deeper as we explore techniques on how to improve them. It’s very easy to visualize data. Too easy. The problem is that it’s rarely done well. It’s very easy to chart your data in current software tools.

Visualization 93

Visualization Contextual Data Measurement Interactive 93