O'Reilly on Data

FEBRUARY 11, 2019

Highlights and use cases from companies that are building the technologies needed to sustain their use of analytics and machine learning. Profiles of IT executives suggest that many are planning to spend significantly in cloud computing and AI over the next year. This concurs with survey results we plan to release over the next few months. In a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions.

Big Data 211

Big Data Technology Machine Learning Deep Learning 211

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.

Analytics 172

Analytics Business Intelligence ROI Marketing 172

Data Science 101

FEBRUARY 11, 2019

The profile of a data scientist is changing slightly as the profession becomes more solidified. Data Science 365 conducts a study to determine some of the characteristics of a “typical data scientist.” The below infographic covers a wealth of information from programming languages used to educational backgrounds to locations. It is definitely worth looking at to understand the attributes of a data scientist in 2019.

Data Science 85

Data Science IT 85

IBM Big Data Hub

FEBRUARY 14, 2019

The focus on customer needs for greater choice and flexibility is a constant at the IBM Think 2019 conference. Nowhere is this more evident than in IBM Hybrid Data Management, which supports data of any type, source and structure, be it on-premises or in the cloud.

Management 84

Management IT 84

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O'Reilly on Data

FEBRUARY 14, 2019

The O’Reilly Data Show Podcast: Siwei Lyu on machine learning for digital media forensics and image synthesis. In this episode of the Data Show , I spoke with Siwei Lyu , associate professor of computer science at the University at Albany, State University of New York. Lyu is a leading expert in digital media forensics, a field of research into tools and techniques for analyzing the authenticity of media files.

Deep Learning 122

Deep Learning Machine Learning 122

David Menninger's Analyst Perspectives

FEBRUARY 15, 2019

I am happy to share some insights on Infor based on our latest market 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.

Business Intelligence 100

Business Intelligence ROI Marketing Analytics 100

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.

Management 78

Management 78

erwin

FEBRUARY 14, 2019

The rate at which organizations have adopted data-driven strategies means there are a wealth of digital transformation examples for organizations to draw from. By now, you probably recognize this recurring pattern in the discussions about digital transformation: An industry set in its ways slowly moves toward using information technology to create efficiencies, automate processes or help identify new customer or product opportunities.

Digital Transformation 75

Digital Transformation Data Governance Data-driven ROI 75

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.

Testing 72

Testing Machine Learning Deep Learning Modeling 72

BizAcuity

FEBRUARY 15, 2019

Sales Analytics in simple terms can be defined as the process used to identify, understand, predict and model sales trends and sales results and in this process of understanding of these trends helps its users in finding improvement points. Sales Analytics is used to determine the success of the previous sales drive and forecast in addition to determine how future sales will fare.

Sales 67

Sales Analytics B2B ROI 67

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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?

Business Intelligence

IBM Big Data Hub

FEBRUARY 11, 2019

The European Union recently implemented its General Data Protection Regulation (EU) 2016/679 (GDPR). This new regulation has created a challenge for many organizations in terms of how to maintain compliance with the new data protection and privacy laws while continuing to use data for analytics.

Data Analytics 76

Data Analytics Analytics IT 76

DataRobot Blog

FEBRUARY 10, 2019

by Jen Underwood. In the spirit of Valentine’s Day, let’s explore a fun little Relationship App quiz that forecasts how long your relationship will last. Data from a Stanford University study, How Couples. Read More.

Machine Learning 66

Machine Learning Forecasting Predictive Analytics Data Science 66

Dataiku

FEBRUARY 14, 2019

Dating apps are changing the ways we meet new romantic partners. Whether you’ve succumbed begrudgingly or gleefully, millennials on average spend 10 hours a week swiping and chatting on online dating apps. We know that recommendation engines are keen to predict relationships and anticipate breakups , so that they can send you ads for spa days and ice cream.

Data Science 63

Data Science 63

Domino Data Lab

FEBRUARY 10, 2019

Lukas Biewald is the founder of Weights & Biases. He was previously the founder of Figure Eight (formerly CrowdFlower). This blog post provides insights into why machine learning teams have challenges with managing machine learning projects. He also provides best practices on how to address these challenges. This post was provided courtesy of Lukas and originally appeared on Medium.

Machine Learning 63

Machine Learning Modeling Deep Learning Metrics 63

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Data-driven

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.

Modeling 75

Modeling IT 75

Cloudera

FEBRUARY 14, 2019

Today we are proud to announce our support for ADLS Gen2 as it enters general availability on Microsoft Azure. CDH 6.1 already includes support for MapReduce and Spark jobs, Hive and Impala queries, and Oozie workflows on ADLS Gen2. The Cloudera platform delivers a one-stop shop that allows you to store any kind of data, process and analyze it in many different ways in a single environment, and integrate with the rest of your data infrastructure.

Data Lake 62

Data Lake Cost-Benefit Big Data Data Processing 62

Decision Management Solutions

FEBRUARY 12, 2019

We do a lot of decision management projects, helping clients adopt the technologies and approaches they need to succeed with digital decisioning and decision automation. One of the key technologies for these types of projects is a Business Rules Management System (BRMS). Sometimes, we get push-back on using business rules because existing business rules projects or past business rules experience have soured a company’s perception of the effectiveness of the technology.

Consulting 60

Consulting Management Modeling Technology 60

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.

IT 56

IT Finance Unstructured Data Cost-Benefit 56

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

Marketing

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.

Digital Transformation 72

Digital Transformation Enterprise Analytics IT 72

Cloudera

FEBRUARY 11, 2019

Ask a CIO where their focus lies and ‘digital transformation’ as well as ‘growth’ will come into the conversation quite quickly. The former sees growing investment in data analytics to become data-driven (45% of organizations expect to increase their spending in this area) while the latter is fueled by disruptive technology and the adoption of AI (41% of organizations name it as their game changer).

Digital Transformation 61

Digital Transformation Data Governance Data Science Data Warehouse 61

Paul DeBeasi

FEBRUARY 14, 2019

Few data-driven technologies provide greater opportunity to derive value from Internet of Things (IoT) initiatives as machine learning. The accelerated growth of data captured from the sensors in IoT solutions and the growth of machine learning capabilities will yield unparalleled opportunity for organizations to drive business value and create a competitive advantage.

IoT 49

IoT Internet of Things Machine Learning Deep Learning 49

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.

Analytics 45

Analytics 45

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Reporting

Dataiku

FEBRUARY 12, 2019

Whether you realized it or not, Data Privacy Day 2019 ( yes, it exists! ) has already come and gone. But this year, it was perhaps more significant than most not only because topics of bias, interpretability, and transparency in AI have moved to the forefront, but because the Council of Europe amended their Convention for the Protection of Individuals with regard to Automatic Processing of Personal Data.

IT 45

IT 45

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.

Reporting 60

Reporting Management Strategy Data Processing 60

John Wheeler

FEBRUARY 11, 2019

In the span of a week, the integrated risk management (IRM) technology market has experienced significant consolidation. Four vendors from Gartner’s inaugural 2018 IRM Magic Quadrant have joined forces to evolve their legacy governance, risk and compliance (GRC) offerings to better compete in the IRM market (see figure below). Last Monday, market challenger ACL announced the acquisition of market visionary Rsam.

Marketing 45

Marketing Risk Management Risk Forecasting 45

Teradata

FEBRUARY 11, 2019

In her blog, Carrie Ballinger discusses parallelism and how you can fashion it to specific needs by using the new sparse map capability

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IT 45

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

Business Intelligence

The Data Visualisation Catalogue

FEBRUARY 12, 2019

Originally, I was planning to write a Further Exploration post on just Treemap variations. I thought there would only be a small, handle-full of charts that I would need to cover. But man, I was wrong. Once I actually sat down and begun researching into other Treemap types out there, I found myself surprised and overwhelmed. This was largely thanks to the work done by Hans-Jörg Schulz in his treeviz.net project.

Visualization 41

Visualization Interactive Modeling Technology 41

Cloudera

FEBRUARY 11, 2019

The Magic Quadrant (MQ) is an established, widely-referenced series of research reports published by the analyst firm Gartner, Inc. The January 2019 “Magic Quadrant for Data Management Solutions for Analytics” provides valuable insights into the status, direction, and players in the DMSA market. A total of 19 vendors satisfied Gartner’s extensive inclusion criteria for insertion in this year’s MQ DMSA report.

Management 44

Management Metadata Analytics Machine Learning 44

Smarten

FEBRUARY 14, 2019

Can Citizen Data Scientists Support Advanced Analytical Needs? No business, large or small, has unlimited funds and resources. In a world where data analytics is more important than ever to the business bottom line and competitive position, the typical business cannot afford to hire dozens of data scientists but it absolutely must have access to detailed, clear data analysis that will drive the bottom line and ensure success.

Analytics 40

Analytics Predictive Modeling Business Intelligence Visualization 40

Jen Stirrup

FEBRUARY 14, 2019

I got to the end of the free WordPress account for my small business account and I wanted to analyse my CRM and sales data better. I wanted to dial up my sales and marketing, and, of course, use data to understand my audience better. With the free WordPress edition, I could not do some of the things that I wanted, such as HubSpot integration and advanced analytics.

Data Processing 40

Data Processing Sales Dashboards Measurement 40

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

Data-driven