David Menninger's Analyst Perspectives

FEBRUARY 13, 2019

I am happy to share some insights about IBM drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research.

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Analytics Business Intelligence ROI Marketing 141

IBM Big Data Hub

FEBRUARY 13, 2019

IBM General Manager for Data and AI Rob Thomas has said organizations can't have effective AI without sound IA (Information Architecture). And one of the pillars of any IA is data management.

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Management 78

Data Science 101

FEBRUARY 13, 2019

The field of data science is moving fast. People are claiming to be data scientists; yet the knowledge, experience, and backgrounds of those people can be very different. Different is not bad. However, there a little standards around what exactly a data scientist is. Sticking with this week’s theme of “What is a Data Scientist”, an organization titled, Initiative for Analytics and Data Science Standards (IADSS) has kicked-off a research study at global scale.

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IBM Big Data Hub

FEBRUARY 13, 2019

During the IBM flagship Think conference in San Francisco today, businesses looking to accelerate their transformation with the IBM AI Watson were treated to news that they’ll be able to build, deploy and run AI models and applications across any cloud, giving them the freedom to apply Watson capabilities to their data wherever it is stored.

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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

Jedox

FEBRUARY 13, 2019

When I hear or read that artificial intelligence (AI) is “disrupting” financial planning and analysis, I tend to challenge the premise. The word “disrupt” means to me to interrupt, alter or destroy the structure of something. I look at AI (or really all technology for that matter) as having the potential to enhance and/or improve the FP&A function.

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IT Finance Cost-Benefit Unstructured Data 53

IBM Big Data Hub

FEBRUARY 13, 2019

Today at Think 2019, IBM announced a new vision for the future of AI and digital transformation. Along the way, we made a number of announcements and updates that could profoundly impact how enterprises will use analytics and AI to shape the future of their business. In all, it was definitely a big day of news for IBM partners and clients. In case you missed it, here are three major announcements for analytics pros from Think 2019.

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Digital Transformation Enterprise Analytics IT 73

3AG Systems

FEBRUARY 13, 2019

ERP. No other three letters can strike such fear into the heart of a CFO. But why is this the case? And what can leaders do to solve this problem? What does ERP stand for First a quick primer. The term Enterprise Resource Planning, or ERP, was first coined by Gartner in the 1990s. It describes software that evolved out of maintenance resource planning and manufacturing resource planning tools developed in the 1960s.

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Optimization Finance Manufacturing Software 40

Teradata

FEBRUARY 13, 2019

Tom Casey explains lessons from the Apollo 13 program and how they can be applied to day to day dealings in the analytics world.

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Analytics 45

Insight

FEBRUARY 13, 2019

State-of-the-art pre-training for natural language processing with BERT Javed Qadrud-Din was an Insight Fellow in Fall 2017. He is currently a machine learning engineer at Casetext where he works on natural language processing for the legal industry. Prior to Insight, he was at IBM Watson. In late 2018, Google open-sourced BERT, a powerful deep learning algorithm for natural language processing.

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Testing Machine Learning Deep Learning Modeling 72

Cloudera

FEBRUARY 13, 2019

When Cloudera was formed about 10 years ago, the founders believed that companies would jump at the chance to store, manage, and analyze their data in the cloud. Thus, they came up with the name Cloudera, which was a play on “era of cloud.” But, much to their surprise, companies weren’t ready for cloud; they were more focused with on-prem. So, Cloudera focused on helping companies with storing, managing, and analyzing data on-prem.

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Reporting Management Strategy Data Processing 55

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

CIO Business Intelligence

FEBRUARY 13, 2019

Enterprises seeking to further democratize analytics through self-service business intelligence tools will be heartened by a push by vendors to intersect data visualization and natural language processing. Tableau Software’s 2019.1 update, released Wednesday, is the latest to move in this direction, enabling staff to query data using natural language, and offers a new subscription option for self-service data preparation.

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Visualization Business Intelligence Enterprise Analytics 61