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 209

Big Data Technology Machine Learning Deep Learning 209

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 141

Analytics Business Intelligence ROI Marketing 141

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 91

Management IT 91

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.

Data Science 78

Data Science Marketing Analytics 78

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

Management

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

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

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

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

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 77

Data Analytics Analytics IT 77

Advertisement

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

Big Data

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

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 53

IT Finance Cost-Benefit Unstructured Data 53

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 76

Modeling IT 76

Advertisement

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

Visualization

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

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

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

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 76

Digital Transformation Enterprise Analytics IT 76

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

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 42

Management Metadata Analytics Machine Learning 42

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

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.

Optimization 40

Optimization Finance Manufacturing Software 40

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

Management

Data Virtualization

FEBRUARY 13, 2019

Change is sometimes difficult to embrace, especially when it involves downtime. Autodesk, makers of world-renowned 3D design, engineering, and entertainment software, wanted to change from perpetual licensing to subscription-based licensing, but knew that this change would likely impact the entire. The post Autodesk Transforms, by Leveraging Data Virtualization appeared first on Data Virtualization and Modern Data Management.

Recreation/Entertainment 40

Recreation/Entertainment Software Management IT 40

Decision Management Solutions

FEBRUARY 11, 2019

Think 2019 is here! Sharpen your skills. Get hands-on experience with the latest technology. Extend your professional network. It’s virtually impossible not to learn something new among this celebrated community of technologists and thought leaders. And have some fun while you’re at it. Explore the technologies that are redefining industries, learn from the experts, and get your biggest questions technology answered.

Analytics 40

Analytics Machine Learning Strategy Modeling 40

bridgei2i

FEBRUARY 12, 2019

Bangalore, 12th February 2019. CEO, BRIDGEi2i, Prithvijit Roy has been featured in the Wiley Innovation Black Book on Exponential Technologies which was released at the Wiley Global Innovation Conclave on January 31st, 2019. Addressing the transformative impact of exponential technologies across industries, the chapter: ‘Staying Relevant in Changing Times: AI to the Forefront of the CPG Storefront,’ touches upon diagnostic analytics and changing consumer behavior in the CPG sector.

Technology 40

Technology Diagnostic Analytics Contextual Data Advertising 40

Paul Turley

FEBRUARY 12, 2019

I've been remiss about blogging for a little while and have some great stuff to share, starting with this interview with Allen White at the PASS Summit conference in November. Allen is a 15-year PASS veteran and one of the most consistent SQL Server experts in the industry. He's a powerhouse of knowledge, experience and wisdom. He's a long-time SQL Server and Microsoft Data Platform MVP and owner of DataPerf Professionals Consulting, mentor, coach, trainer, co-founder and leader of the Ohio Nort

Consulting 40

Consulting 40

Advertisement

In the rapidly-evolving world of embedded analytics and business intelligence, one important question has emerged at the forefront: How can you leverage artificial intelligence (AI) to enhance your application’s analytics capabilities? Imagine having an AI tool that answers your user’s questions with a deep understanding of the context in their business and applications, nuances of their industry, and unique challenges they face.

Analytics

Cloudera

FEBRUARY 12, 2019

3.2 billion. That is the number of unique mobile subscribers that Asia Pacific is projected to have by 2025, which accounts for more than half of the world’s mobile subscribers. Mobile data traffic is predicted to grow at a 40 to 50 percent rate annually, and Internet of Things (IoT) connections from 25 to 30 percent. As technology adoption increases, more service providers require 5G to support the surge of incoming data.

IoT 40

IoT Internet of Things Digital Transformation Machine Learning 40

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

IT 45

IT 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.

Testing 72

Testing Machine Learning Deep Learning Modeling 72

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

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.

Manufacturing