David Menninger's Analyst Perspectives

JANUARY 29, 2019

Ventana Research provides unique insight into the analytics and business intelligence (BI) industry. This is important, as its processes and technology play an instrumental role in enabling an organization’s business units and IT to utilize its data in both tactical and strategic ways to perform optimally. To accomplish this, organizations must provide technology that can access the data, generate and apply insights from analytics, communicate the results and support collaboration as needed.

Business Intelligence 230

Business Intelligence Data-driven Analytics Optimization 230

O'Reilly on Data

JANUARY 29, 2019

A recent survey investigated how companies are approaching their AI and ML practices, and measured the sophistication of their efforts. In 2017, we published “ How Companies Are Putting AI to Work Through Deep Learning ,” a report based on a survey we ran aiming to help leaders better understand how organizations are applying AI through deep learning.

Deep Learning 208

Deep Learning Machine Learning Data Science Metadata 208

DataRobot Blog

JANUARY 27, 2019

by Jen Underwood. In my previous articles Predictive Model Data Prep: An Art and Science and Data Prep Essentials for Automated Machine Learning, I shared foundational data preparation tips to help you successfully. Read More.

Machine Learning 92

Machine Learning Modeling Predictive Modeling Predictive Analytics 92

Business Over Broadway

JANUARY 27, 2019

A recent survey revealed that 84% of data pros have used at least one ML framework in the last 5 years while 51% of data pros have used at least one ML product in the last 5 years. The most popular ML frameworks include Scikit-Learn, Tensorflow and Keras. The most popular ML products include SAS, Cloudera and Azure. Figure 1. Machine Learning Frameworks used in last 5 years.

Machine Learning 89

Machine Learning Data Science Technology Analytics 89

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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

IBM Big Data Hub

JANUARY 31, 2019

IBM Cloud Private for Data is a data and analytics platform that provides that cohesive ecosystem to accelerate data monetization to impact your bottom line without the data leaving your organization.

Analytics 77

Analytics 77

O'Reilly on Data

JANUARY 31, 2019

The O’Reilly Data Show Podcast: Maryam Jahanshahi on building tools to help improve efficiency and fairness in how companies recruit. In this episode of the Data Show , I spoke with Maryam Jahanshahi , research scientist at TapRecruit, a startup that uses machine learning and analytics to help companies recruit more effectively. In an upcoming survey, we found that a “skills gap” or “lack of skilled people” was one of the main bottlenecks holding back adoption of AI technologies.

Machine Learning 181

Machine Learning Analytics Statistics Reporting 181

The Data Visualisation Catalogue

JANUARY 30, 2019

While researching on the Buzz Surrounding VR Data Visualization , I found the most common claim being made was that VR allows for more “Natural” interactions with the data. Initially, I thought to myself, how could virtual reality actually make things seem more natural? The fact that it’s called VIRTUAL reality already implies that it’s something unreal and not connected to the natural, physical world.

Interactive 72

Interactive Visualization Big Data Technology 72

IBM Big Data Hub

JANUARY 28, 2019

One of the best parts of Think is hearing details of successful implementations of hybrid data management solutions and machine learning directly from peers across a variety of industries.

Machine Learning 75

Machine Learning Management 75

Cloudera

JANUARY 30, 2019

It’s official – Cloudera and Hortonworks have merged , and today I’m excited to announce the availability of Cloudera Data Science Workbench (CDSW) for Hortonworks Data Platform (HDP). Trusted by large data science teams across hundreds of enterprises —. Western Union and IQVIA to name just a couple — CDSW is now also ready to help Hortonworks customers accelerate the delivery of new data products through secure, collaborative data science at scale.

Data Science 72

Data Science Machine Learning Experimentation Cost-Benefit 72

Juice Analytics

JANUARY 30, 2019

“TV of tomorrow is now here.” So says The Guardian. The TV show that brought us into the future is Bandersnatch , the recently released interactive television show from the Black Mirror anthology. Bandersnatch is sort of modern reincarnation of the Choose Your Own Adventure books of your childhood. Some reviewers raved about the new experience: "This is what Bandersnatch gave me that no other movie had ever been able to.

Recreation/Entertainment 49

Recreation/Entertainment Interactive IT Technology 49

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

Jedox

JANUARY 29, 2019

In today’s organizations, the role of financial controlling or FP&A is not only to provide financial insights so business partners can make better decisions, but it is also to lead the way towards a more mature use of analytics technology including predictive analytics for sales forecasting. Predictive Analytics – a Priority for FP&A. Moving up the analytics maturity curve from merely describing and reporting the past to gaining real insight and foresight into the future is a near-

Predictive Analytics 41

Predictive Analytics Forecasting Sales Analytics 41

IBM Big Data Hub

JANUARY 30, 2019

IBM commissioned Forrester Consulting to conduct a Total Economic Impact (TEI) study to examine the value of an investment in IBM Watson Studio and Watson Knowledge Catalog.

Measurement 74

Measurement Consulting 74

Smarten

JANUARY 31, 2019

Many organizations have grown comfortable with their business intelligence solution, and find it difficult to justify the need for advanced analytics. The advantages of advanced analytics are numerous and those advantages are based on the ability to further improve the business, increase user adoption (and therefore user empowerment and accountability) and, best of all, improve the bottom line and the accuracy of predictions and forecasts that will dictate the success of the business in the futu

Business Intelligence 40

Business Intelligence Analytics Predictive Modeling Forecasting 40

Data Virtualization

JANUARY 30, 2019

In this article, I will discuss the complexity of data migration when transitioning to a new system, based on the traditional ways of working. I will explain why data virtualization can play a role in taking away this complexity, for. The post How Much Time Could Your Company Save If You Said Goodbye to Data Migration? appeared first on Data Virtualization and Modern Data Management.

Management 40

Management Data Lake Data Warehouse Data Integration 40

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

Teradata

JANUARY 29, 2019

Ben MacKenzie reflects on some of the unique challenges to building models with relational data.

Modeling 53

Modeling 53

IBM Big Data Hub

JANUARY 29, 2019

In the study, the definition of fast data starts with the technical characteristics mentioned in our last article, but there’s more to that definition.

Data Strategy 78

Data Strategy Strategy 78

Nutanix

JANUARY 31, 2019

The arrival of cloud computing to enterprise IT brought much more than new business value and end-user utility. Most notably, confusion. An entirely new set of terms was created to describe the many varieties of virtual data storage and transmission.

Enterprise 20

Enterprise IT 20

O'Reilly on Data

JANUARY 28, 2019

Consent is the first step toward the ethical use of data, but it's not the last. Informed consent is part of the bedrock of data ethics. DJ Patil, Hilary Mason, and I have written about it , as have many others. It's rightfully part of every code of data ethics I've seen. But I have to admit misgivings—not so much about the need for consent, but about what it means.

Insurance 169

Insurance Metadata Data Collection Marketing 169

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

Teradata

JANUARY 31, 2019

Atif Kureishy explores how to fill the artificial intelligence skills gap.

49

49

Birst BI

JANUARY 29, 2019

How do you deliver more insights out to more people? Operationalizing BI and analytics – that is, putting the power of data in the hands of everyone across the enterprise, not just analysts and data scientists – has always been the mantra for Birst co-founder Brad Peters. According to research from Eckerson Group, when an organization deploys a BI and analytics system, roughly 10% of employees have the skills needed to produce insights from corporate data and deliver them to decision makers.

Analytics 78

Analytics KPI Machine Learning Visualization 78

erwin

JANUARY 31, 2019

The General Data Protection Regulation (GDPR) made its first real impact as Google’s record GDPR fine dominated news cycles. Historically, fines had peaked at six figures with the U.K.’s Information Commissioner’s Office (ICO) fines of 500,000 pounds ($650,000 USD) against both Facebook and Equifax for their data protection breaches. Experts predicted an uptick in GDPR enforcement in 2019, and Google’s recent record GDPR fine has brought that to fruition.

Data Governance 72

Data Governance Metadata Cost-Benefit Enterprise 72

Paul DeBeasi

JANUARY 30, 2019

Machine learning projects are inherently different from traditional IT projects in that they are significantly more heuristic and experimental, requiring skills spanning multiple domains, including statistical analysis, data analysis and application development. Most organizations have defined the process to build, train and test machine learning models.

Machine Learning 56

Machine Learning IoT Experimentation Statistics 56

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

Teradata

JANUARY 29, 2019

Ben MacKenzie reflects on some of the unique challenges to building models with relational data.

Modeling 40

Modeling 40

Smarten

JANUARY 30, 2019

Can Augmented Analytics Tools Improve Business User Analytics Adoption? When a business commits to data democratization and to improving data literacy, it must add advanced analytics tools that will support these initiatives. The education of business users is crucial if these projects are to be successful, but no business has the time or the money to schedule intensive training.

Analytics 40

Analytics Forecasting Predictive Modeling Visualization 40

Mark Raskino

JANUARY 30, 2019

Just a quick reminder – what follows is one senior analyst sharing some thoughts. It is not a Gartner position. Blogs are un-reviewed personal writings, not published research. In my job as a Gartner analyst I do a lot of international travel. Then I come home to the United Kingdom of Great Britain and her dominions… or as I sometimes jest with colleagues and clients – “the disunited kingdom of great brexit and her dumb opinions”.

Publishing 40

Publishing Risk Reporting Management 40

Smarten

JANUARY 28, 2019

Citizen Data Scientists Improve Productivity and Innovation in the Enterprise! A business that does not optimize its resources is doomed to fail. In this rapidly changing business environment and market, every organization must make the best of precious human resources. No one has enough funding to hire additional resources to get the job done and, when there are extra funds, those funds are quickly earmarked for new products, marketing and other crucial activities.

Business Analytics 40

Business Analytics Analytics Forecasting Enterprise 40

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